Mercy Killing is a lean, high-stakes investigative documentary with a small self-shooting crew operating in remote Uganda. The production's AI opportunities cluster around four high-value areas: (1) Research and investigative support — given the complexity of verifying criminal confessions, tracing case provenance, and building subject dossiers, AI tools for dossier generation, rumour detection, source credibility scoring, and claim verification offer significant time savings for Gerald Bareebe and the research team; (2) Field audio and post-production — with challenging field audio from rural Uganda and hours of multilingual interview footage, automated dialogue editing, audio scene classification, rough cut generation, and smart assembly are high-ROI opportunities that directly address the production's lean post workflow; (3) Localisation and subtitling — the multilingual nature of the field interviews (local Ugandan languages to English delivery) makes automated subtitling, machine translation, and parallel script generation particularly valuable; (4) Compliance and delivery — given the legally sensitive nature of the confession footage and the funder approval requirements from Journalismfund and De Coöperatie, sensitive content detection, regional compliance checks, and compliance heatmaps are essential risk-management tools. The production's small team and remote shooting conditions make scheduling, safety, and logistics AI tools (call sheet generation, safety compliance, weather forecasting) especially impactful given the limited crew capacity to absorb manual overhead.

The production 'Mercy Killing' is a 52-minute investigative documentary characterized by a small, agile crew operating in challenging environments in Uganda. The core team consists of journalists and a self-shooting director, which eliminates the need for a large traditional camera or grip department. Roles have been selected to reflect this lean structure: Luk Dewulf covers both directing and cinematography, while Inge Wagemakers and Gerald Bareebe handle producing and investigative story development (mapped to Creative Producer). Mama Rose is assigned as Principal Cast due to her vital on-camera role as a facilitator and interviewer. Additional roles like Location Manager, DIT, Editor, Re-recording Mixer, Post-Production Supervisor, and Publicist have been proposed to cover the specific workflow steps outlined, ensuring that field logistics, data management, post-production, and sensitive marketing are properly handled.

The plan removes placeholder/test steps, fills critical gaps across all seven phases for this small-team investigative documentary shot in rural Uganda, and adds targeted steps for the production's unique ethical, legal, and data-security constraints. Priority is given to high-leverage additions (consent documentation, secure data handling, picture editorial pipeline, broadcast master delivery, and archive) while keeping the plan lean to match the production's modest scale.

This plan fills the significant gaps in the existing lean workflow for 'Mercy Killing' — a small-team investigative documentary with acute ethical, legal, and data-security constraints. Key additions span the full lifecycle: pre-production consent and contributor access, a complete picture editorial pipeline, essential post-production audio and graphics steps, broadcast master creation and QC for delivery, and a structured archive covering sensitive consent and legal records. The test step in Development is removed as it carries no production value.

Mercy Killing is a lean, high-stakes investigative documentary with a small self-shooting crew operating in logistically challenging environments in rural Uganda. The production's primary AI opportunities cluster around four areas: (1) Research and investigative integrity — AI can dramatically accelerate the dossier generation, source credibility scoring, rumour detection, and claim verification that underpin Gerald Bareebe's investigative journalism, while also flagging unverified statements and red flags in the treatment before filming begins; (2) Field data management and post-production efficiency — given the volume of multilingual field recordings, confession footage, and sensitive interview material, AI-powered logging, keywording, audio scene classification, and rough cut generation can save significant editorial time and ensure the archive is searchable from day one; (3) Compliance and legal risk management — the documentary's handling of criminal confessions not yet reported to police creates significant legal exposure; AI-driven sensitive content detection, compliance heatmaps, regional compliance checks, and red flag detection are high-ROI investments for this production; (4) Localisation and delivery — with significant non-English dialogue from Soroti District, AI-powered transcription, machine translation, and automated subtitling are essential to meeting the 52-minute English-language delivery requirement efficiently. The production's small team and tight budget make AI tools that reduce manual labour particularly valuable, especially in areas where the self-shooting director model concentrates multiple roles in one person.

The production 'Mercy Killing' is a 52-minute investigative documentary shot in Uganda by a small, agile team. The core team consists of Luk Dewulf, who acts as a self-shooting director (mapping to Director, Producer, and Director of Photography), and Inge Wagemakers (Producer). Gerald Bareebe's role as an investigative journalist shaping the story aligns perfectly with Creative Producer, while Rose ('Mama Rose') acts as a vital local liaison and facilitator, fitting the Associate Producer role. Given the sensitive nature of the content (confessions of murder, extreme poverty, medical interventions), a Safety Officer is proposed to oversee the 'Ethical & Legal Protocol Development'. Standard documentary post-production roles (Editor, Re-recording Mixer, Post-Production Supervisor) have been added to handle the 52-minute assembly, sound mastering, and localization/subtitling requirements. A Production Sound Mixer is also included to ensure high-quality field audio capture alongside the self-shooting director.

Mercy Killing is a lean, high-stakes investigative documentary with a small self-shooting crew operating in challenging field conditions in rural Uganda. The production's AI opportunity profile is dominated by three intersecting priorities: (1) handling legally and ethically sensitive content — criminal confessions of infanticide — with appropriate compliance and verification tools; (2) managing the significant multilingual translation and subtitling burden from Ugandan field interviews to English delivery; and (3) accelerating post-production assembly and audio cleanup for a small team without dedicated post infrastructure. The highest-ROI opportunities are in sensitive content detection and flagging (critical given the confession footage), automated dialogue editing and audio scene classification (field audio quality will be variable in rural Uganda), automated logging and rough cut assembly (the editor faces hours of raw multilingual material), and claim verification and source credibility scoring (essential for a journalism-funded investigative production). The localisation pipeline — translating Ugandan dialect interviews to English subtitles — represents a significant time sink that machine translation and automated subtitling tools can substantially compress. Marketing opportunities are more modest given the documentary's niche investigative journalism positioning, but trailer generation and key art creation for festival and broadcaster pitches offer meaningful time savings for a small team. The production's ethical and legal constraints around confession footage make compliance-focused AI tools (sensitive content detection, regional compliance checks, red flag detection) particularly valuable, as errors in this area carry serious legal and reputational risk for the production company and its funders.

The plan fills critical gaps across all seven phases for this small-team investigative documentary: adding consent documentation prep, key capture sub-steps (confessions, B-roll, observational), a full picture-editorial pipeline, motion graphics, broadcast master creation, and a lean archive. Existing steps are modified only where their asset lists are materially incomplete (e.g. Field Data Management and Principal Documentary Capture). The overall approach stays proportionate to the production's scale — a self-shooting director, two locations, and a hard February 2018 delivery date.

The production 'Mercy Killing' is a small-scale, high-impact investigative documentary. The core team is highly consolidated, with Luk Dewulf acting as a self-shooting director, producer, and DP. Inge Wagemakers and Gerald Bareebe provide crucial journalistic and producing support, mapped to Producer and Screenwriter roles respectively to reflect their contributions to the narrative and research. Rose ('Mama Rose') is assigned as Location Manager due to her vital role as a field facilitator and cultural liaison in Uganda. Additional technical roles (DIT, Re-recording Mixer, Post-Production Coordinator, and Publicist) have been proposed to cover specific workflow requirements such as field data management, sound mixing, subtitling, and marketing, even though specific individuals have not yet been identified for these positions.

The plan fills critical gaps across all seven phases for this small-team investigative documentary shot in rural Uganda: it adds consent-preparation, field-safety, and data-security steps that the sensitive subject matter demands; expands the lean post-production pipeline with ingest, editorial, colour, and graphics steps; and completes delivery and archive phases that are currently absent or skeletal. Every addition is proportionate to the production's scale — a self-shooting director with a tiny crew — avoiding over-engineering while ensuring legal, ethical, and broadcast-delivery obligations are met.

Mercy Killing is a lean, high-stakes investigative documentary produced by a small self-shooting team operating in challenging field conditions in rural Uganda. The production's primary AI opportunities cluster around three areas: (1) investigative research and fact verification, where AI can dramatically accelerate the credibility-checking and source-scoring work that underpins Gerald Bareebe's field journalism; (2) field data management and post-production, where automated logging, keywording, and rough cut generation can compensate for the absence of a dedicated post team; and (3) compliance and legal sign-off, where the documentary's uniquely sensitive content — criminal confessions of infanticide — demands rigorous automated screening before delivery to funders. The multilingual dimension (Ugandan dialects to English) creates strong ROI for automated transcription, translation, and subtitling tools throughout the workflow. Marketing opportunities are more modest given the production's scale, but AI-assisted key art, trailer assembly, and social asset versioning can extend the small team's reach without additional headcount.

The production 'Mercy Killing' is a small-scale, high-impact investigative documentary. The core team is highly consolidated, with Luk Dewulf acting as a self-shooting director, effectively covering the Director, Producer, and Director of Photography roles. Inge Wagemakers supports as a Producer with specialized subject matter expertise. The on-camera narrative is driven by journalist Gerald Bareebe and social worker Mama Rose, who are assigned as Principal Cast. Given the remote filming location in Uganda and the sensitive nature of the footage, a DIT is proposed to ensure secure field data management. Finally, an Editor and Re-recording Mixer are included to handle the post-production assembly, localization, and final audio mastering required for the 52-minute broadcast format.

Mercy Killing is a small-scale, 52-minute investigative documentary produced by de Seizoenen (Belgium) with filming in rural Uganda. The production is characterized by a self-shooting director/producer model, a tiny core team of journalists, and highly sensitive subject matter involving vulnerable populations. Role selection is deliberately minimal to reflect the lean, field-journalism nature of the project. Luk Dewulf functions as self-shooting director and producer; Inge Wagemakers as producer/journalist; Gerald Bareebe as the on-the-ground journalist/fixer. The workflow spans development (ethical protocols, investigative research), pre-production (technical spec, field planning), production (field capture, data management), post-production (sound mix), and delivery (subtitling, marketing). Key roles needed: executive producer (oversight/funding liaison), producer (Inge Wagemakers), director/DP hybrid (Luk Dewulf as self-shooter), screenwriter for treatment/script, a production coordinator for logistics, a production sound mixer (even on small docs someone handles audio), an editor, a supervising sound editor for the mix/master, and a colorist for finishing. Given the ethical complexity, a safety officer role is warranted. No large department heads (art, costume, grip, etc.) are needed for this type of production.

Mercy Killing is a small-scale, high-sensitivity investigative documentary produced by a core team of 2-3 people performing multiple roles across field journalism, directing, and producing. The production's AI opportunity profile is shaped by three dominant factors: (1) the extreme sensitivity of the content — confessions of illegal acts, vulnerable participants, and graphic subject matter — creating strong demand for compliance, ethics, and fact-verification AI tools; (2) the translation and localisation challenge of capturing local Ugandan dialect content for English-language delivery to European broadcasters and festivals; and (3) the small team size, which means every hour saved on mechanical tasks (logging, metadata, subtitling, rough cut assembly) has outsized impact on a production where no one role is dedicated. The highest-ROI opportunities cluster around automated dialogue editing and audio classification for challenging field recordings, automated logging and metadata enrichment for hours of sensitive interview footage, machine translation and automated subtitling for local dialect content, and rough cut generation to give the editor a structured starting point. Compliance and ethics tools — sensitive content detection, red flag detection, claim verification, and source credibility scoring — are particularly valuable given the journalism-funded context and the legal complexity of handling unverified confession footage. Marketing tools are lower priority but still relevant for festival and broadcaster distribution. The production does not benefit from animation, VFX, or broadcast news infrastructure tools, so those have been excluded.

The existing workflow for 'Mercy Killing' is lean but missing several critical steps given the production's unique demands: confessions of active crimes requiring a pre-release legal gate, a self-shooting director collapsing camera and direction roles, local dialect translation needs, and a hard February 2018 delivery date. The plan adds targeted steps for subject consent management, picture editorial, a pre-release legal safety review, funder reporting, and long-term secure archiving of sensitive footage, while keeping the overall plan concise and proportionate to this small-team documentary.

Mercy Killing is a small-scale, 52-minute investigative documentary produced by de Seizoenen (Belgium) with field work in Soroti District, Uganda. The production is built around a self-shooting director/producer (Luk Dewulf), a producer/journalist (Inge Wagemakers), and a Ugandan field journalist (Gerald Bareebe). Given the minimal crew, lean budget, and single-person camera operation, the role list must be tightly focused. Key considerations: (1) Luk Dewulf functions as both Director and DP — both roles are justified but assigned to the same person. (2) Gerald Bareebe is an investigative journalist and field producer, not a screenwriter — the associate_producer role best captures his field production and research function within the available catalogue. (3) Per feedback, post_production_supervisor is removed as excessive; the producer absorbs that function. (4) supervising_sound_editor is retained as the single sound post role (re_recording_mixer removed to avoid overlap). (5) Field Data Management is reassigned to the DIT/DP rather than sound. (6) A safety_officer is warranted given the high-risk field environment (rural Uganda, vulnerable subjects, criminal confessions). The production also requires a production_sound_mixer for field audio, an editor for post, and a colorist for finishing. Subtitling/translation is handled by the producer/coordinator at this scale.

Mercy Killing is a small-scale, high-sensitivity investigative documentary produced by a core team of 2-3 people operating across Belgium and Uganda. The production's primary AI opportunities cluster around four areas: (1) investigative research acceleration — dossier generation, source credibility scoring, claim verification, and chronology building will dramatically reduce the manual research burden on Gerald Bareebe and Inge Wagemakers; (2) field production risk management — weather forecasting, safety compliance flagging, and scheduling automation are critical given the remote Soroti District locations and minimal crew; (3) post-production efficiency — automated logging, rough cut generation, dialogue cleanup, and audio classification will compress the post timeline for a self-shooting director managing multiple roles; and (4) localisation and delivery — automated subtitling and machine translation of local dialect content are essential given the English delivery requirement and Soroti subject base. The ethical and legal sensitivity of this production — involving confessions of unreported murders and vulnerable disabled children — makes sensitive content detection, red flag detection, and regional compliance checking particularly high-value. The small team size amplifies the ROI of almost every automation use case, as each hour saved has outsized impact when there are only 2-3 people performing all production functions simultaneously.

The existing workflow for 'Mercy Killing' covers the core spine of the production but has significant gaps across pre-production (no subject consent or camera prep steps), post-production (no picture editorial or colour), delivery (no broadcast master or funder reporting), and archive. Given the production's unique legal/ethical exposure — filming active murder confessions in rural Uganda — the plan prioritises data security, legal clearance gates, and funder sign-off alongside the standard craft steps, while keeping the overall step count lean to match the small self-shooting team.

Mercy Killing is a lean, 52-minute investigative documentary shot in rural Uganda by a small Belgian-Ugandan team. The production is self-shooting (Luk Dewulf operates camera and directs), so a separate Director of Photography role is not warranted — the Director role covers both functions. Gerald Bareebe is an investigative journalist and field guide, not a screenwriter in any traditional sense; his role is best captured as a researcher/treatment writer, but since the catalogue does not have that exact role, the closest honest fit is omitting a screenwriter role and instead noting his contribution at the workflow level under the producer/director. Inge Wagemakers functions as Producer. The scale signals (one-person camera, small field crew, single broadcast hour, two funding bodies) point to a very tight role set: producer, director, production sound mixer, editor, supervising sound editor, and a UPM to handle permits and logistics. Post-production supervisor is excluded per reviewer feedback — the producer absorbs that function at this scale. The subtitling step is owned by the editor with the producer as contributor, reflecting the lean team. Field Data Management is contributed to by the production sound mixer (who generates field audio recordings) alongside the director. The sound mix step lists the supervising sound editor as owner with the production sound mixer as contributor to ensure field audio feeds into post. No construction, VFX, stunts, costume, or large-department roles are needed. Safety officer is included given the high-risk field environment (criminal confessions, vulnerable populations, remote Uganda locations). The investigative journalism function is represented through the producer and director roles rather than a misapplied screenwriter label.

Mercy Killing is a small-scale, high-sensitivity investigative documentary produced by a 2-3 person team operating across remote Ugandan locations and Belgium. The production's primary AI opportunities cluster around three areas: (1) investigative research acceleration — dossier generation, source credibility scoring, rumour detection, and claim verification are all highly applicable given the complex, sensitive subject matter and the need for rigorous journalistic standards; (2) field production efficiency — the tiny team performing multiple roles benefits significantly from automated scheduling, call sheet generation, metadata enrichment, and audio classification to reduce administrative and technical overhead; and (3) post-production assembly — with hours of field footage from challenging environments, automated logging, rough cut generation, smart assembly, and audio cleanup offer the highest time savings for a production without a dedicated post team. The localisation workflow is also a strong opportunity given the local dialect content requiring English subtitling and translation. Marketing AI tools are relevant for festival and broadcaster outreach given the limited budget. The most impactful opportunities are in post-production assembly and investigative research support, where the small team size creates the greatest bottleneck risk.

The existing workflow for Mercy Killing is lean but missing several critical steps unique to this production: a pre-release legal/safety gate for the confession footage, a picture editorial track, a field media management plan for the rural Uganda environment, and funder reporting obligations. The proposed additions address these high-risk gaps while keeping the plan appropriately minimal for a small-team, self-shooting documentary.

Mercy Killing is a small-scale, 52-minute investigative documentary produced by de Seizoenen (Belgium) and filmed in rural Uganda. The production is characterized by a self-shooting director/producer model, a tiny core team of journalists, and highly sensitive subject matter involving vulnerable populations. Role selection is deliberately minimal to reflect the lean, field-journalism nature of the project. Luk Dewulf functions as self-shooting director and producer; Inge Wagemakers is producer/journalist; Gerald Bareebe is the on-the-ground journalist/fixer. The workflow spans development (investigative research, ethical protocols), pre-production (technical prep, field planning), production (field capture, data management), post-production (sound mix), and delivery (subtitling, marketing). Key roles needed: executive producer (oversight/financing liaison), producer (Inge Wagemakers), director/DP hybrid (Luk Dewulf as self-shooter), screenwriter for treatment/script, production sound mixer for field audio, editor for assembly, supervising sound editor for the mix, post-production supervisor for delivery workflow, and a safety officer given the high-risk field environment. A location manager is warranted for the Uganda field logistics. Given the criminal confessions and ethical complexity, no additional legal role exists in the catalogue but the screenwriter role covers treatment/research documentation. Subtitling falls to a post-production coordinator. Marketing materials are handled by the producer tier. I have kept the list tight — no art department, no large crew roles — consistent with a one-camera documentary unit.

Mercy Killing is a small-scale, high-sensitivity investigative documentary produced by a core team of 2-3 people filming in remote Uganda. The production's AI opportunities cluster around four key areas: (1) Research and verification — given the extreme sensitivity of confession-based journalism and the need to verify claims about illegal acts, AI tools for source credibility scoring, claim verification, and red flag detection offer high ROI with minimal workflow disruption; (2) Field audio and footage management — with recordings captured in challenging acoustic environments across remote Soroti District locations, automated logging, audio classification, and metadata enrichment are critical for a small team managing large volumes of field material; (3) Post-production efficiency — the self-shooting director model means the editor inherits raw rushes without a dedicated logging team, making rough cut generation, smart assembly, and scene re-ranking particularly valuable; and (4) Localisation — the translation of local Ugandan dialects into English subtitles and the potential for multi-language distribution to human rights festivals make automated subtitling and machine translation high-priority investments. The production's ethical constraints around anonymity and sensitive content make sensitive content detection and regional compliance checking essential rather than optional. Marketing tools are lower priority given the documentary's niche festival and broadcast distribution model, but key art generation and trailer assembly can help the small team punch above their weight in competitive festival submissions.

The existing workflow for 'Mercy Killing' is lean but missing several critical steps given the production's unique demands: filming confessions of active crimes in rural Uganda, a hard February 2018 delivery date, funder reporting obligations, and a self-shooting director collapsing camera and direction roles. The plan adds targeted steps for subject consent management, secure data handling, picture editorial, colour grading, broadcast mastering, funder reporting, and long-term archive — all proportionate to a small-team investigative documentary with high ethical and legal stakes.

Mercy Killing is a lean, 52-minute investigative documentary produced by de Seizoenen, filmed in rural Uganda with a self-shooting director/producer model. The team is minimal: Luk Dewulf functions as director, camera operator, and co-producer; Inge Wagemakers is the producing journalist; Gerald Bareebe is the on-the-ground investigative journalist. Given this scale, role selection is deliberately tight. Key considerations: (1) The self-shooting director model means camera and directing collapse into one person. (2) The investigative journalism focus means the closest catalogue fit for Bareebe is 'Screenwriter' — but per the rejection instruction, this is replaced; however, no 'journalist' role exists in the catalogue, so the best available fit is 'associate_producer' to reflect his field coordination and subject-identification role, or we use 'creative_producer' to reflect story development. On reflection, 'creative_producer' best captures his role in shaping the investigative narrative and identifying key subjects. (3) Post-production supervisor is excluded per feedback — the producer absorbs that function. (4) Marketing materials ownership is assigned to the producer role. (5) Safety and ethical oversight are critical given the vulnerable populations and field conditions in Uganda. (6) Sound recording in the field is needed even on a lean shoot. (7) An editor is needed for the 52-minute cut. The final role list is kept minimal and justified for this documentary scale.

Mercy Killing is a small-scale, high-sensitivity investigative documentary produced by a core team of 2-3 people operating across Belgium and remote Uganda. The production's primary AI opportunities cluster around three areas: (1) investigative research and fact-checking support, where AI can dramatically accelerate dossier generation, source credibility scoring, claim verification, and chronology building for the journalism-led workflow; (2) field production and post-production efficiency, where automated logging, metadata enrichment, audio classification, and rough cut assembly can compensate for the small team's limited bandwidth across multiple roles; and (3) localisation and delivery, where the significant translation burden from local Ugandan dialects to English makes automated subtitling and machine translation particularly high-value. The ethical and legal sensitivity of the content — including confessions of illegal acts — makes sensitive content detection and compliance tools especially important throughout the workflow. The production's Journalismfund backing also creates a strong case for claim verification and citation checking tools to meet journalistic standards. Overall, AI can meaningfully reduce the operational burden on this small team while strengthening the investigative rigour and compliance posture of a production dealing with extremely sensitive subject matter.

The existing workflow for 'Mercy Killing' covers the core production spine but is missing several critical steps unique to this production: a picture editorial track, a pre-release legal/safety gate (given the active-crime confessions), funder reporting obligations, and archive/asset management. The plan adds targeted steps across all seven phases to address these gaps — particularly around editorial, legal clearance before delivery, and long-term secure storage of highly sensitive footage — while keeping the overall plan lean given the small-team, single-camera documentary format.

Mercy Killing is a small-scale, 52-minute investigative documentary produced by de Seizoenen (Belgium) and filmed in rural Uganda. The production is characterized by a self-shooting director/producer model, a tiny core team of journalists, and a heavy emphasis on ethical/legal protocols for working with vulnerable populations. Given the minimal crew size and documentary format, the role list should be lean. Key considerations: (1) Luk Dewulf functions as self-shooting director and producer — both roles are warranted; (2) Inge Wagemakers is a producer/journalist; (3) Gerald Bareebe is the on-the-ground journalist/field producer; (4) the production requires a production sound mixer given field audio capture; (5) post-production needs an editor and a re-recording mixer for the sound mix/mastering step; (6) the delivery phase requires subtitling work; (7) a safety officer is appropriate given the high-risk field environment (rural Uganda, criminal confessions, vulnerable subjects); (8) no large departments (art, construction, stunts, VFX, etc.) are needed for a documentary of this scale. I have kept the list tightly focused on roles that are genuinely necessary for this production type and scale.

Mercy Killing is a small-scale, high-sensitivity investigative documentary produced by a core team of 2-3 people operating across Belgium and remote Uganda. The production's primary AI opportunities cluster around four areas: (1) Research and investigative support — AI can dramatically accelerate the dossier generation, chronology building, and fact-checking work that underpins Gerald Bareebe's field investigation, particularly given the complexity of human rights documentation in the Soroti District context; (2) Field audio and footage management — with a self-shooting director capturing sensitive confessions and observational footage in challenging acoustic and logistical environments, automated logging, audio classification, and dialogue editing tools offer significant time savings for a team with no dedicated post department; (3) Localisation — the translation and subtitling of local Ugandan dialect interviews is a substantial workflow bottleneck for a Flemish-funded English-language delivery, and machine translation with automated captioning can compress this significantly; (4) Post-production assembly — rough cut generation and smart assembly tools are particularly high-value for a small team that cannot afford dedicated assistant editor time. The production's extreme sensitivity around confession material and legal exposure also makes sensitive content detection and compliance checking tools important risk-management investments. Marketing AI tools are relevant but lower priority given the documentary's likely festival-first distribution strategy.

The existing workflow for 'Mercy Killing' is lean but missing several critical steps unique to this production: a pre-release legal/safety review gate (given the active-crime confessions), a picture editorial step, a funder reporting/sign-off step, and a proper archive. The plan adds these high-leverage gaps, strengthens field production with a subject consent step and a field media management plan, and rounds out post-production and distribution with targeted additions while keeping the overall plan compact to match the small-team, single-director nature of this production.

Mercy Killing is a small-scale, 52-minute investigative documentary produced by de Seizoenen (Belgium) and filmed in rural Uganda. The production is characterized by a self-shooting director/producer model, a tiny core team of journalists, and highly sensitive subject matter involving vulnerable populations. Role selection is deliberately minimal to reflect the lean, field-journalism nature of the project. Luk Dewulf functions as self-shooting director and producer; Inge Wagemakers is producer/journalist; Gerald Bareebe is the on-the-ground investigative journalist. The workflow spans development (research, ethics), pre-production (tech prep, permitting), production (field capture, data management), post (sound mix), and delivery (subtitling, marketing). Key roles needed: executive producer (oversight/funding liaison), producer (Inge Wagemakers), director/DP hybrid (Luk Dewulf as self-shooter), screenwriter for treatment/script, production sound mixer for field audio, editor for assembly, supervising sound editor for the mix, post-production supervisor for delivery workflow, and a safety officer given the high-risk field environment. A publicist is warranted for the marketing delivery step. No large department heads (art, costume, grip, etc.) are needed for this type of production.

Mercy Killing is a small-scale, high-sensitivity investigative documentary produced by a core team of 2-3 people operating across Belgium and remote Uganda. The production's AI opportunities are concentrated in four key areas: (1) Research and development — where AI can dramatically accelerate investigative dossier generation, chronology building, and fact-checking for a journalism-led project with limited research capacity; (2) Field production and planning — where weather/risk forecasting, location feasibility assessment, and automated scheduling are particularly valuable given the logistical complexity of filming in one of Uganda's poorest districts with a minimal crew; (3) Post-production efficiency — where automated logging, rough cut generation, audio classification, and smart assembly can compensate for the small team's limited post capacity on a 52-minute broadcast documentary; and (4) Localisation and delivery — where automated subtitling, machine translation of local Ugandan dialects, and regional compliance checks are critical given the multilingual field recordings and the need to deliver to Flemish and international broadcasters. The documentary's extreme sensitivity around confession footage, vulnerable subjects, and legally complex material makes compliance-oriented AI tools (sensitive content detection, red flag detection, regional compliance checks) particularly high-value. Marketing AI tools are relevant but lower priority given the festival/broadcaster distribution model. Overall, the highest ROI opportunities are in research automation, field audio classification, automated logging, and localisation — all areas where the small team faces the greatest capacity constraints.

Mercy Killing is a lean, investigative documentary produced by a small team (self-shooting director Luk Dewulf, producers Inge Wagemakers) with a journalist-led field production in one of Uganda's most remote and impoverished districts. The production faces several compounding challenges: a small crew operating across two continents, sensitive subject matter involving criminal confessions and vulnerable participants, multilingual field audio, and limited budget with no dedicated post or marketing infrastructure. The highest-value AI opportunities cluster around three areas. First, post-production efficiency: with hours of raw field footage from Uganda, automated logging, rough cut generation, dialogue editing, and scene re-ranking can dramatically compress the editorial timeline for a team without a large post crew. Second, compliance and verification: the documentary's subject matter — unverified confessions of crimes, depictions of child death, and vulnerable participants — creates significant compliance and legal exposure that AI-assisted sensitive content detection, claim verification, and red flag detection can address systematically. Third, localisation and distribution: as a Flemish-funded documentary with international festival ambitions, machine translation, automated subtitling, and multilingual publishing tools can open up territories that would otherwise require sequential, costly localisation workflows. Marketing opportunities are also meaningful given the small team: trailer rough cut generation, key art creation, and audience segmentation tools can give de Seizoenen a professional marketing output without agency costs. The production's investigative research phase also benefits strongly from dossier generation and citation verification, given the depth of background research required on disability rights, poverty, and the Ugandan legal context.

The investigative nature of 'Mercy Killing' requires high precision in research and sensitivity in handling confessions. AI opportunities focus on automating the heavy lifting of research (Dossier Generation), ensuring field safety in Soroti (Risk Forecasting), and streamlining the processing of sensitive audio and dialogue (Live Transcription, Automated Subtitles, and Dialogue Editing). These tools allow the small team to focus on the ethical and emotional complexities of the story.

Mercy Killing is a 52-minute investigative documentary produced by de Seizoenen (Belgium), self-shot by director Luk Dewulf in AVC-Intra 100 HD, with a small core team of two producer-journalists and a local Ugandan journalist. The production is lean and field-driven, with sensitive ethical and legal considerations around on-camera confessions of criminal acts. The existing workflow covers the essential spine (research, ethics, field planning, capture, data management, audio mix, subtitling, and marketing) but is missing critical post-production picture editorial steps (offline edit, picture lock, colour grade/conform), a proper archive step, and a funding/greenlight record in development. This corrected proposal addresses all previous action-field violations (all steps were incorrectly marked 'modify' when they should have been 'add' since no prior workflow existed at that point) and adds explicit assets to every step. Given the small team size and the documentary's simplicity, the proposal is kept lean — only genuinely necessary steps are added beyond what already exists.