OpenAnalyst · Birkan Industries · Proposed episode

One team.
Trusted information.
Capacity for more.

A documentary case study of manual work, trusted records, AI automation, and what the team can do next. Follow one operational case, a relevant official-record example, and evidence of additional work completed.

Documentary case study7 practical worksheetsAI in existing workflowsLocal draft · no verified outcomes

The visual rhythm

Colour represents the main picture on screen. The interview audio can continue over factory scenes, records, and diagrams. Click a block to inspect its chapter.

Factory / workConversationScreen evidenceMap / worksheet
00:0005:0010:0015:0020:0025:0030:00
Factory / work07:1324.1% of the proposed picture budget
Conversation11:5739.8% of the proposed picture budget
Screen evidence07:0523.6% of the proposed picture budget
Map / worksheet03:4512.5% of the proposed picture budget
CuriosityRecognitionInvestigationDiscoveryAccountabilityPracticeReflection
Two deliberate changes in rhythm

11:30: leave the table and follow the failed handoff on the floor. 21:30–24:30: stay with a focused, readable template setup on a prepared data connection. At 16:00, show what the team can now complete. At 25:30, assess the evidence of change.

AI automation through existing workflows

Existing input → AI preparation or execution → person reviews or decides → checked result reaches the team’s working record → next check.

Show the same task before and after. Identify what starts the run, which repeated steps AI handles, what people still do, and where the result is used. Open the workflow filming map.

The case-study edit plan

Expand a chapter for its shot sequence. These blocks budget the final edit; they do not require a camera cut at every boundary.

00:00–01:15The decision

Where is the order, and what changed?
A recognizable task opens the case study.

Episode timeMain pictureWhat happens
00:00–00:08Factory / workMeaningful detail of the main operational case; record natural factory sound.
00:08–00:20ConversationEmployee describes the actual update and decision, or host uses a clearly labelled illustration.
00:20–00:38Factory / workReveal the person and workplace; ask which information is trustworthy enough to act on.
00:38–00:58Screen evidenceShow one useful clue and its original source, with the unanswered question still clear.
00:58–01:15Factory / workHost introduces the case study: trusted information, AI in everyday work, and capacity for more.
01:15–03:00Birkan and its workflow

Who had to find the answer?
Establish the business, team, and existing workflow.

Episode timeMain pictureWhat happens
01:15–02:00ConversationLeader establishes the business, participating team, scope, and why this task mattered.
02:00–02:35Factory / workFollow the real route through the team’s existing tools and handoffs.
02:35–03:00Map / worksheetMap the main operational case and identify where work waits for information.
03:00–07:001 · The manual work

What manual effort kept recurring?
Show manual effort and the useful work it displaces.

Episode timeMain pictureWhat happens
03:00–03:50ConversationOperator reconstructs the manual task and the repetitive effort it required.
03:50–04:25Factory / workObserve the lookups, copying, checking, or chasing in context; identify any reconstruction.
04:25–05:00Screen evidenceShow the existing update and the records the colleague needed to assemble.
05:00–05:55ConversationAsk which work required judgment, what was repeated, and what useful tasks had to wait.
05:55–06:30Map / worksheetShow the decision brief and capacity baseline: task, frequency, effort, waiting, and backlog.
06:30–07:00Factory / workMove toward the colleague responsible for checking the information.
07:00–11:302 · Trust and official records

What made the information trustworthy?
Connect trustworthy internal answers with a relevant official-record check.

Episode timeMain pictureWhat happens
07:00–07:35Factory / workIntroduce the data owner and the decision that requires a dependable answer.
07:35–08:30ConversationEmployee explains what they needed to check before relying on an AI answer.
08:30–09:30Screen evidenceTrace an actual conclusion to ERP source rows; show identifiers, definitions, dates, and unknowns.
09:30–10:10ConversationIntroduce one relevant official-record task; clearly identify a different case or entity.
10:10–10:50Screen evidenceShow the actual official source or authorized document, retrieval date, entity match, and comparison.
10:50–11:30Map / worksheetTrust worksheet: confirmed fact, source, scope, unknowns, reviewer, and limits of the conclusion.
11:30–16:003 · AI in the working process

Where does AI fit in the working process?
Show the actual AI step and the process around the changed handoff.

Episode timeMain pictureWhat happens
11:30–12:05Factory / workReturn to the main operational case and walk into the production or quality handoff.
12:05–12:55ConversationStation owner explains what the physical process requires and which event records it.
12:55–13:35Map / worksheetMap the input, trigger, AI task, person, destination, and evidence of completion.
13:35–14:25Factory / workObserve the changed handoff and the actual working step supported by AI.
14:25–15:20ConversationAsk what the AI handles, what the person decides, and which process or ERP changes were needed.
15:20–16:00Screen evidenceShow the supported run, its source-backed result, and where the next colleague uses it.
16:00–20:304 · Adoption and team capacity

What can the team now complete?
Connect adoption, ownership, and additional useful work.

Episode timeMain pictureWhat happens
16:00–17:00ConversationEmployee explains initial doubts, learning, corrections, and ownership of the changed task.
17:00–17:45Factory / workFilm additional work the employee can now complete; distinguish actual work from a demonstration.
17:45–18:30Screen evidenceShow the accepted output and action record supporting the example of increased capacity.
18:30–19:30ConversationAsk what happened to the released effort, what review remains, and whether quality held.
19:30–20:10Factory / workFollow the additional work to the colleague or customer-facing function it helps.
20:10–20:30Map / worksheetCapacity chain: effort changed, review accounted for, additional work completed, quality checked.
20:30–25:305 · Repeat the useful workflow

How do we check this next time?
Make the supported workflow and its repeat procedure understandable.

Episode timeMain pictureWhat happens
20:30–21:30ConversationTeam explains how the workflow fits its recurring review and how the run actually starts.
21:30–22:10Screen evidenceSETUP 1: open the actual template and explain the recurring task and required input.
22:10–22:25ConversationExplain the prepared source and whether a person, schedule, or event starts the workflow.
22:25–22:45Screen evidenceSETUP 2: select scope, dates, field meanings, and the supported AI step.
22:45–23:25Screen evidenceSETUP 3: run the task; explain what AI performs and label any omitted elapsed time.
23:25–23:40ConversationAsk what a person must check and how they respond to missing or incorrect input.
23:40–24:30Screen evidenceSETUP 4: check the result, retain an unknown, show the working destination and next run.
24:30–25:05ConversationWho uses the result, knows it completed, and remains responsible for exceptions?
25:05–25:30Factory / workObserve the checked output being used in the team’s real review routine.
25:30–28:30Evidence of change

Which outcomes can the team substantiate?
Assess operational outcomes and team capacity with comparable evidence.

Episode timeMain pictureWhat happens
25:30–26:25ConversationLeader and employee describe the supported operational and team-capacity outcomes.
26:25–27:00Screen evidenceCompare effort, accepted output, quality, and dates for the same task; label estimates.
27:00–27:35Factory / workReturn to the opening operational case and its documented outcome.
27:35–28:05ConversationAsk about remaining work, other causes of change, and which ambitions are still future plans.
28:05–28:30Map / worksheetShow the strongest supported result, its scope, and the remaining unanswered question.
28:30–30:00A starting point for another team

Which update will you investigate first?
Offer one transferable starting point for another team.

Episode timeMain pictureWhat happens
28:30–28:55ConversationHost invites viewers to choose one recurring task and define trusted inputs, AI work, and ownership.
28:55–29:15Map / worksheetRecap the case-study lessons and the relevant workflow, trust, and capacity worksheets.
29:15–29:40Factory / workClose on the team doing meaningful work; natural sound returns.
29:40–30:00Map / worksheetTemplates CTA with the checked destination and current campaign offer, when ready.

Seven worksheets for the case study

Read the master written case-study structure. The five workflow worksheets are joined by trust and team-capacity worksheets.

IDEA 1Decision briefTurn an update into a decision and a bounded investigation.IDEA 2ERP reconciliationCheck whether an apparent mismatch is a real discrepancy.IDEA 3Handoff mapFind the transition that needs explanation.IDEA 4Action and verification logConnect an insight to an action and observable completion.IDEA 5Daily exception reviewRepeat a useful question and check whether the process holds.TRUSTTrust and recordsSource, entity, freshness, checks, and limits.CAPACITYTeam capacityEffort changed, additional accepted work, and quality.
The screen-to-person rule

Show the original task, the repeated work AI handles, where the result goes, and what a person does next. Let each worksheet appear after its usefulness is clear. Show only actual supported product steps; retain missing information and the limits of the evidence.

Timed case-study treatment and interview questions · Editor’s running order CSV · Pack guide