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Innovation Executive Programme
Most teams know AI could help. They just don't know where to start.
Four sessions.
Clear priorities.
A plan you can act on.
Clarity before commitment.
For teams under pressure to make sensible decisions about AI — without wasting budget or credibility.
We spend time inside your organisation reviewing real systems, real data, real workflows. Not assumptions. What’s actually there.
From that, we surface where AI or automation would make a measurable difference – and tell you what to tackle first.
What Innovation Executive is
Four sessions. Adapted to where you actually are today.
We don’t arrive with a fixed agenda. We start by understanding what data you use, how decisions get made, and where AI is already creeping in informally — sometimes helpfully, sometimes not.
From there we work out what’s worth pursuing: whether that’s a simple prompt-based tool or something more integrated into your workflows. And what governance you need in place before you go further.
The output isn’t a presentation. It’s a short, prioritised list of things worth doing – and a clear view of what is best left alone.
Structured judgement applied to your business. Not generic training.
A construction business came to us frustrated with their tendering process. Subcontractor returns were arriving in different formats, with missing information and no consistent way to evaluate them. Within the programme we identified a structured ingestion and classification system that could standardise inputs, score opportunities, and cut evaluation time significantly. They’d been living with the problem for years. It took four sessions to see it clearly.
A field sales team were writing informal visit reports that nobody could act on. Qualitative observations, inconsistent detail, no structure. The data existed — it just wasn’t usable. We helped them see that the same workflow, with a lightweight capture layer added, could turn rep intelligence into a scored, searchable asset their managers could actually use.
A growing ecommerce brand had AI already running in the background — content being drafted, copy being tested — but nobody owned it and nothing was governed. The programme surfaced three distinct use cases worth pursuing properly, and gave the leadership team a shared view of what to formalise, what to stop, and what to build next.
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Evidence-based priorities
Grounded in real workflows, not assumptions about what AI can do
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A prioritised opportunity backlog
Categorised, ranked, commercially sensible. A short list of bets you can act on.
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A readiness snapshot
Practical assessment across data, systems, people and governance. What's ready and what needs work first.
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A near-term roadmap
Typically 90-180 days, with clear sequencing, owners and proof-of-value focus
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Shared internal clarity
Something leadership can use to steer conversations, justify spend and avoid distraction
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Board-level confidence
A clear narrative leadership can use to communicate direction, justify investment and bring the rest of the organisation with them
Built around real work, in real systems
Innovation Executive is grounded in observation. We review live processes, systems, documents and handovers with the people doing the work.
That makes the programme faster and more accurate. You replace assumptions with evidence, and opinions with shared judgement.
Decisions get easier when the reality is clear
Once you can see what’s really happening, you can prioritise the right opportunities, avoid the wrong ones, and move forward with confidence.
This is the smallest complete unit. Clear start. Clear finish. No ongoing commitment.
The programme unit
Innovation Executive runs as one clear unit:
- 4 × half-day advisory sessions
- Led by one senior Door4 advisor throughout (Leon Calverley)
- Typically completed over 2–3 weeks (maximum 6 weeks)
There is no rolling consultancy and no obligation beyond the four sessions.
Where organisations have multiple functions with materially different realities, additional units can run in sequence or parallel — but each stands alone.
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Session 1 – Context, Risk & RealityClarify current AI usage across the business — including informal or shadow use. Surface risk exposure, data sensitivity and leadership understanding. Define what AI realistically means in your context and agree commercial success criteria.
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Session 2 – Opportunity MappingIdentify high-value opportunity zones across operations, training, quality and data. Distinguish between simple augmentation and structured automation. Prioritise 3–5 viable candidates based on impact, feasibility and risk.
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Session 3 – Governance, Capability & ReadinessDefine practical guardrails for responsible AI use. Review data access, compliance exposure and integration constraints. Assess whether your opportunity requires prompts, copilots or true workflow agents.
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Session 4 – Roadmap & Pilot DefinitionSelect 1–2 priority pilots with clear proof-of-value metrics. Define ownership, sequencing and visibility. Produce a practical 90–180 day roadmap tied to commercial outcomes.
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Financial Services: Pre-qual triage assistant
A rules-aware assistant that applies lender criteria to client inputs and returns a likely eligibility outcome. Cuts manual prep and improves consistency in early-stage conversations.
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FMCG / Manufacturing: Account briefing layer
An AI layer that turns CRM/ERP history into a call-ready briefing — recent orders, buying patterns, and talking points — so teams stop going in cold.
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Manufacturing: RFQ and quote process support
An internal assistant that reads RFQs, extracts key details, applies pricing logic and routes specs to the right people. Less email, faster quoting, clearer visibility.
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Legal / Services: Content and compliance checking
A review agent that checks published content against tone, brand rules and risk markers — plus flags competitor shifts — so teams spot issues before they become problems.
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E-commerce & Logistics: Courier decision support
A decision engine that evaluates SKU mix, tariffs and warehouse constraints to recommend the best courier option — reducing overcharges and delivery errors.
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Commercial Services: Lead qualification assistant
An enquiry assistant that guides staff through structured questions, scores credibility, and routes serious prospects automatically — freeing time and improving response speed.
Frequently Asked Questions
How long is the programme?
A single Innovation Executive programme is 4 half-day advisory sessions, typically completed over 2–3 weeks (maximum 6 weeks).
Is this open-ended consultancy?
No. Innovation Executive is a fixed four-session unit with a clear start and finish. There is no obligation beyond the programme.
What happens in the sessions?
Each half-day is structured and adaptive. We walkthrough real processes, review live systems and documents, surface shadow AI usage, and assess where structured agents may create more value than standalone chat tools.
What do we get at the end?
A prioritised opportunity backlog, readiness snapshot, near-term roadmap (typically 90–180 days), and Responsible AI guardrails (v1).
Who runs the programme?
One senior Door4 advisor leads the programme end-to-end (Leon Calverley), preserving context across all four sessions.
Do we have to implement with Door4?
No. Implementation can be delivered internally, with a third party, or with Door4 once priorities are agreed.
Can we run multiple programmes?
Yes. Where teams operate with materially different realities, multiple four-session units can run in sequence or parallel.





