Prepared for Paul Davis, Jim Holland and Peter Livanos
James Holland WWII Limited — AI Growth Lab
Scaling the World's Most Trusted WWII Brand with AI
A phased AI Lab built for James Holland WWII Limited — designed to launch and scale a paid Substack membership, grow global audience, increase content output across video, YouTube and live events, and reduce production overhead without compromising the editorial standards that built the brand.
Brand-first. Historian-led. Built to scale without compromise.
Chris Bradshaw, Founder, Collective Intelligence · August 2026
Four outcomes that matter
Proven Audience Economics
WW2 Headquarters survey data (765 responses, July 2026) confirms the audience is affluent, advocacy-driven and travel-hungry: average household income £62,942, 80% homeowners, £2,130 annual travel spend, 72% have recommended the brand within six months. This is not a projection — it is a validated commercial base.
One Shoot, Multiple Outputs
Paul and James are already filming at world-class WWII locations — Ísafjörður, Malta, Scapa Flow, Dunkirk, Hamburg. AI extracts multiple content assets from every day's shoot: master cut for Substack members, YouTube discovery edit, newsletter essay, and social clips. The travel is happening anyway; the marginal cost of premium output is the edit.
Reduced Production Burden
Repetitive editing, publishing, transcription, metadata, scheduling and community management can be handled by AI — freeing the team for creative and strategic work.
Brand Integrity
James Holland's reputation is built on rigorous historical accuracy. Every AI system must keep historians and editors visibly in control of facts, sources, tone and final approval.
Five things the discovery call confirmed
The brand is the asset
James Holland WWII Limited is not just a content business. It is a trusted editorial voice in a global market. Any AI programme must enhance that trust — not put it at risk. Every workflow is designed to keep James and the editorial team in visible, documented control.
“The audience trusts us because we get the history right. That cannot change.”
Multi-format content is a major opportunity
Between YouTube, books, events and social media, James Holland WWII Limited produces more high-quality WWII content than almost any organisation in the world. AI can extract significantly more value from every hour of filmed and recorded material.
International growth is underexploited
WWII has a genuinely global audience — across Europe, North America, Australia and beyond. AI-powered audience intelligence can identify which topics, formats and territories have the highest growth potential and guide distribution accordingly.
The Substack model is already validated
Sixteen comparable publications — from Dan Jones (100K+ subscribers) to Lucy Worsley and Adam Tooze — prove the membership architecture works for historian-presenters. The pricing (£5/month, £50/year, £250 founding) is market-anchored. The editorial spine is confirmed: a book-by-book retrospective through the Mediterranean campaign, running alongside a live thread as James writes the next two books. AI's job is to make this sustainable at pace.
“The audience wants proximity to James — not just content. That's the product.”
The team must not be overwhelmed
The programme must work around a lean, high-output team. Minimal leadership time required. Clear decision points. Asynchronous collaboration wherever possible.
Investment must be justified by return
Every phase must demonstrate clear commercial return before the next is approved. Phase 1 exists specifically to produce the financial evidence that makes subsequent investment straightforward to approve.
“We need to see that the numbers work before we scale.”
The intelligence that wins is not the most powerful — it is the most organised.
From initial brief to a fuller programme
The discovery call expanded our understanding of what the programme needs to achieve. The original brief covered production efficiency. The revised direction addresses both growth and efficiency.
- YouTube publishing
- Social distribution
- Live events
- Newsletter
- Global audience intelligence
- Multi-territory distribution strategy
- YouTube and short-form content engine
- Live event and community support
- Substack membership architecture and growth
- Founding-tier subscriber conversion
- Membership and subscriber retention
- Organisational memory and archive
- Back-office and publishing automation
- Commercial growth measurement
Six priority areas
Each priority is independently scoped and sequenced based on commercial value, technical feasibility and editorial safety. Click any card to expand.
Global Audience Intelligence and Discovery
Build an intelligence layer that identifies the highest-potential audiences, territories, formats and topics across all James Holland WWII Ltd content.
Capabilities
- Territory-level audience analysis
- Topic and format trend detection
- Competitor and adjacent-channel research
- Content performance analysis across platforms
- International distribution recommendations
- Evidence-led content planning
- Localisation and subtitle testing
Outcomes
- Clearer international growth strategy
- Better content decisions backed by data
- Faster identification of breakout topics
- Territory-specific publishing plans
- Reduced reliance on instinct alone
YouTube and Video Production Automation
Automate repetitive production tasks from raw footage through to draft publication across YouTube and Substack video channels.
Capabilities
- Transcript generation and chapter creation
- Video descriptions and SEO metadata
- Clip identification and virality scoring
- Short-form asset creation from long-form films
- CMS and platform draft creation
- Publishing schedules and logs
Outcomes
- Faster video turnaround
- Reduced production administration
- More short-form content from existing footage
- Consistent metadata across all platforms
- More audience entry points per film
Short-Form Content Engine
Turn approved long-form content — podcast episodes, YouTube films, event recordings — into platform-specific short-form assets at scale.
Capabilities
- Clip identification and selection
- Multiple aspect ratios (9:16, 1:1, 16:9)
- Captions and on-screen titles
- Platform-specific copy variations
- Territory and language variations
- Approval workflows
- Scheduling and distribution
Outcomes
- Significantly increased weekly short-form output
- Greater value from existing archive material
- More audience growth touchpoints
- Reduced manual social media effort
Substack Membership and Subscriber Growth
Build and operate the paid Substack membership — from launch architecture through to retention, founding-tier conversion and community engagement — supported by AI at every stage.
Capabilities
- Content scheduling and pillar planning across free and paid tiers
- Founding-tier onboarding and signed-book fulfilment tracking
- Subscriber Q&A processing — surfacing and prioritising the best questions for James to answer on video
- Discussion thread prompts and community moderation
- Pathé archive compliance tracking (ensuring archive material stays within paid-only content)
- Referral and recommendations outreach — identifying historian Substacks to approach for cross-promotion
- Annual and founding-tier renewal campaign copy and timing
- Subscriber growth reporting and cohort analysis
Outcomes
- Paid subscriber base growing from launch
- Founding-tier conversions at £250 from day one
- Weekly content rhythm maintained without overwhelm
- Referral network established with peer historians from week one
- Pathé archive advantage preserved and compliant
- Retention driven by community, not just content
Back-Office and Publishing Administration
Automate recurring administrative tasks — royalties, invoices, scheduling, reporting — to free the team for higher-value work.
High efficiency gain for a lean team. Recommended after production automation is live.
Capabilities
- Invoice and expense processing
- Royalty and rights tracking
- Financial report preparation
- Recurring administrative tasks
- Supplier and partner communications
Outcomes
- Reduced administrative overhead
- Fewer manual errors
- More time for content and commercial work
Note: High efficiency gain for a lean team. Recommended after production automation is live.
Every word broadcast to millions began as a decision made by one careful editor.
Human control at every stage
No AI output reaches an audience without expert review and explicit human approval. Historical accuracy, archive rights and contributor meaning are protected at every step.
Approval Workflow
Built-In Safeguards
How the Lab works
The Lab is not a one-time delivery. It is a continuously improving production system built on five founding principles.
Brand integrity above efficiency
James Holland's editorial voice and historical accuracy come first. Every workflow is designed around that constraint, not despite it.
Human creativity, AI execution
James, the editorial team and producers make all creative decisions. AI executes, accelerates and scales those decisions.
Build and validate in levels
Nothing moves to production until it has passed quality review and met the confidence thresholds defined by the team.
Visible human approval
Every AI output that reaches an audience carries a clear approval record. Nothing is published without human sign-off.
Build once and learn continuously
Each workflow generates data, corrections and improvements that feed back into the system — reducing future effort with every cycle.
The Continuous Improvement Loop
Each cycle of the loop generates data, corrections and improvements that reduce future effort and increase reliability.
The archive is not the past. It is the foundation of everything that comes next.
Discovery, alignment and AI Operating Model
Phase 1 produces the foundations everything else depends on: a clear operating model, a prioritised portfolio, a measurement framework and the right first pilot.
What happens in Phase 1
- Leadership alignment workshop
- Current workflow and content-pipeline mapping
- Current cost and team-time analysis
- Audience and social-intelligence research
- Global growth opportunity analysis
- Multi-platform performance audit
- Editorial-control design
- Human-review requirements
- Technology and data assessment
- Agent opportunity mapping
- Governance design
- Client-time model
- Substack model review and membership architecture design
- Founding-tier pricing and perk stack confirmation
- Content pillar and editorial calendar design
- ROI scoring across all six priority areas
- Selection of the first pilot
Deliverables
- Signed-off AI Operating Model
- Prioritised opportunity portfolio
- Global audience-discovery plan
- Editorial accuracy and approval framework
- Current and future-state workflow maps
- Substack membership architecture and launch plan
- Recommended first pilot
- Six-to-twelve-month roadmap
- Refined implementation costs
- Twelve-month operating-cost model
- Human-versus-AI cost comparison
- Measurement framework
ROI Scoring Model
Every opportunity is evaluated across eight dimensions to identify the highest-value, lowest-risk starting point.
Align faster and move together
The programme starts with the whole leadership team in the same room — one focused day to build shared understanding and agree direction. From there, individual stakeholder interviews make sure every leader's priorities are captured before a single decision is made. The rest is asynchronous, bounded, and designed around a busy team.
Kickoff workshop
1 full dayIn person — all leadership
The whole leadership team in the room together. A focused day to surface what matters most, align on direction, and leave with shared clarity on where AI can create the most value. No distractions. No half-measures.
Stakeholder interviews
1 hour eachIndividual — one to one
A structured hour with each leader to understand their specific responsibilities, pressures and priorities. What matters to Paul is different from what matters to Jim. These conversations make sure the programme reflects all of it.
Review and feedback
1–2 hoursAsynchronous or short call
Draft review of the operating model and findings. Clear questions, bounded decisions. Designed to take as little of your time as possible.
Blueprint sign-off
2 hoursLeadership team together
Final review and approval before implementation begins. Everything is agreed as a team before a single pound is committed to Phase 2.
Approximately 2 days of leadership time across Phase 1
Everything else is handled by Collective Intelligence.
Phase 1 and beyond
Phase 1 — Six Weeks
- Stakeholder intake
- Kickoff workshop
- Workflow and pipeline mapping
- Cost and time analysis
- Editorial-risk mapping
- Audience research begins
- Opportunity scoring
- Social-intelligence findings
- Operating-model design
- Editorial-control framework
- Technical assessment
- First-pilot definition
- Blueprint completed
- Roadmap agreed
- Budget and operating-cost model
- Pilot plan signed off
- Low-risk proof-of-concept work may begin
Twelve-Month Horizon
Discovery and operating model
This is where we start — building as a team.
YouTube and video production automation
Short-form content engine
Substack membership and subscriber growth
Governed end-to-end content platform
A balanced scorecard
The programme measures success across four dimensions. No single metric tells the full story. Growth without editorial quality is not success. Efficiency without sustainability is not success.
Growth
- International audience growth by territory
- YouTube views and subscriber growth
- Social media reach and engagement
- Membership and subscriber conversion
- Revenue per content asset
- Substack paid subscriber count and growth rate
- Founding-tier subscriber conversions
- Free-to-paid conversion rate
- Substack annual subscriber revenue
Efficiency
- Video production time reduced
- Publishing administration hours saved
- Short-form assets produced per film
- Cost per short-form asset
- External agency spend reduced
Editorial Quality
- Percentage of AI outputs accepted without correction
- Number and severity of factual corrections
- Archive and provenance compliance
- Human review time per output
- Approval turnaround
Operating Health
- AI and infrastructure cost
- System reliability
- Leadership time required
- ROI by workstream
- Time to measurable value
Phased. Reviewed. Approved at each stage.
Investment is structured in phases. Each phase is independently reviewed and approved. Nothing proceeds without your explicit sign-off.
Discovery, alignment and AI Operating Model
YouTube and video production automation
Short-form content engine
Substack membership and subscriber growth
Governed end-to-end content platform
Ongoing AI Lab
£5,000 / month
Optional retainer covering monitoring, improvement, new workflow development and strategic support.
Technology and Infrastructure
Paid directly to providers. Not a margin item.
Programme Totals
Each phase is independently reviewed and approved. Payment is staged to each phase milestone. Ranges reflect scope variables confirmed during Phase 1.
Start lean. Build evidence. Scale when the returns are proven.
Every pound invested in this programme must be justified by a clear return. Phase 1 exists to produce that financial clarity before any larger commitment is made — so that every subsequent decision is driven by evidence, not projection.
£10,000 – £15,000
investment
You receive the AI Operating Model, ROI scoring for every opportunity, a twelve-month cost model, and a recommended first pilot with a refined budget. Before committing to Phase 2, you will know precisely what it costs and what it returns.
Exit with full financial clarity before committing further.
£18,000 – £22,000
investment
YouTube and video production automation. Transcripts, chapters, metadata and CMS drafts are generated automatically from footage. The team focuses on creative and editorial work, not administration.
£15,000 – £30,000 / year
Estimated savings from reduced production administration — typically 8–15 hours per week across the team.
£20,000 – £25,000
investment
Short-form content factory. Each approved long-form episode generates multiple short-form clips at scale — without proportional headcount. More audience entry points from the archive you already own.
£20,000 – £45,000 / year
Equivalent cost of producing comparable short-form output manually or through external agencies.
£15,000 – £18,000
investment
Substack membership and subscriber growth. AI-assisted content scheduling, founding-tier onboarding, subscriber Q&A processing, referral outreach and renewal campaigns. The membership becomes a self-sustaining commercial engine.
£250,000+ ARR potential
At £50/year per paid subscriber, 5,000 subscribers generates £250,000 in recurring annual revenue independent of any other revenue stream.
£22,000 – £25,000
investment
Governed end-to-end content platform. Savings from earlier phases compound. By this point the data exists to scope WW2 in 24 Hours — a 24-episode series covering the war start to finish, structured as a capstone Substack product and a potential broadcaster or streamer licensing conversation.
Compounding
Phase 5 amplifies returns from all previous phases. The subscription base and content asset library are now large enough to support external commercial conversations.
Building the evidence that supports future investment decisions.
Each phase generates measurable data: production hours saved, cost per video reduced, short-form output increased, Substack subscriber growth. By Phase 3, James Holland WWII Limited will hold concrete operational evidence — not projections — showing exactly what the programme costs and what it returns. The Substack membership layer compounds this: at £50 per paid subscriber per year, 5,000 subscribers generates £250,000 in recurring annual revenue before a sponsorship is signed or a tour is run. The evidence base Phase 1 produces is the foundation for every investment conversation that follows.
What makes this different
Six reasons organisations choose
Collective Intelligence.
We start with problems, not technology
We do not arrive with a pre-built AI product and look for a place to put it. We start by understanding what is costing you time, money and missed opportunity. Technology decisions follow.
We understand editorial environments
We have worked inside media organisations, publishing environments and content-led businesses. We know that accuracy, tone, archive rights and contributor meaning are not constraints to work around — they are the product.
We build for human control, not AI autonomy
Our Lab model is built on visible human approval, confidence thresholds, audit trails and correction loops. AI handles scale and repetition. Your team handles judgement.
We think commercially, not just technically
The programme measures success by audience growth, cost reduction and revenue impact — not by how many AI tools are deployed. Every workflow must justify its ROI before it is built.
We deliver working systems, not reports
Phase 1 produces a plan. Every subsequent phase produces working, tested automation that your team uses in production. Nothing is theoretical.
We build the capability into your organisation
The Lab is yours. We design it so that knowledge, prompts, workflows and improvements accumulate inside your team — not in our heads. You are not dependent on us indefinitely.
How we start Discovery and Operating Model
Read this page
Everything you need to understand the scope, approach, and investment is here. Take your time.
Review from the topConfirm the Statement of Work
The SOW sets out exactly what Phase 1 covers, how it is delivered, and the payment terms. No surprises.
Open SOW →Book in the kickoff
One full day, all leadership in the room. We align faster and move together from day one.
See your time commitmentAlign faster and move together.
Begin with Phase 1
Phase 1 answers four critical questions before any implementation begins. It is the foundation every subsequent phase depends on.
Where can AI create the strongest commercial growth for James Holland WWII Ltd?
Where can it remove the greatest production cost or operational constraint?
What editorial and brand controls are required to protect the James Holland name?
Which first pilot delivers the fastest credible proof of value?
Discovery and Operating Model
£10,000 – £15,000
3–5 weeks