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X AI AND PROCESS ADVISORY

Innovation Executive Programme

Innovation Executive is a senior-led advisory programme for leadership teams who need to decide where AI and automation belong.

It creates shared, evidence-based judgement by embedding with your organisation, observing real work, and turning that reality into clear priorities and decision-ready next steps.

Senior clarity, grounded in the reality of your business.

For teams under pressure to make sensible decisions about AI and automation — with budgets, time and credibility on the line.

Innovation Executive gives leadership a clear view of what matters, what’s blocking progress, and where AI or automation could create commercial value.

We spend hands-on time with the people closest to the work, review real systems and workflows, and surface the constraints, handovers and workarounds that shape outcomes.

You leave with shared judgement and a prioritised plan leaders can act on.

What Innovation Executive is

Innovation Executive is a structured period of immersion that helps leadership teams move from activity to clarity.

Door4 embeds with your organisation to understand how work actually gets done — then synthesises what we learn into decision-grade priorities.

It’s designed for organisations exploring AI and automation seriously, especially where in-house CTO / AI leadership capability doesn’t exist yet, or where senior teams want external challenge and clarity.

Innovation Executive is designed to produce accuracy and judgement at leadership level.

We focus on what’s true in your organisation, where work slows down or breaks, and where AI or automation could create measurable value.

The goal: shared, evidence-based judgement you can use to make confident decisions.

What you get from Innovation Executive
Decision-grade outputs that help leadership teams choose the right next moves. Built from live observation, senior interrogation, and practical synthesis — designed for alignment, clarity and momentum.
  • Evidence-based priorities

    A clear view of where AI and automation could create commercial value — based on real workflows and constraints.

  • A prioritised opportunity backlog

    Categorised, owned, and ranked — so leadership has a short list of sensible bets tied to outcomes.

  • A readiness snapshot

    A grounded view of capability across data, systems, people and culture — what’s ready and what needs work.

  • A near-term roadmap

    Typically 90–100 days. Clear actions, owners and sequencing, focused on momentum and measurable progress.

  • Responsible AI guardrails (v1)

    A practical Responsible AI policy draft — high-level principles and boundaries to keep decisions safe and sensible.

  • Better internal decision-making

    A shared view leaders can use to steer conversations, set priorities, and justify spend with confidence.

Thank you for the session on Wednesday — it really was excellent. You did a fantastic job guiding the discussion and challenging our thinking in a productive way. The concepts were spot-on and have given us a clear direction. There’s strong potential for automation and AI to add real value across our business.
Chloe Maine
Business Development Manager - MGS Plastics

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.

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)

This is the smallest complete unit. Where organisations have multiple functions or business units with different realities, multiple programmes can run in parallel or sequence without losing depth and context.

A Programme Built Around Your Business

We adapt the structure and emphasis of each session to suit your organisation’s priorities, leadership appetite and current AI maturity. Whether you’re at early exploration stage or already experimenting internally, the programme flexes accordingly – balancing strategic advisory, practical education and roadmap development to meet you where you are.

Typical Innovation Executive Schedule
  • Session 1 – Context, Risk & Reality

    Clarify current AI usage across the business, surface risks and informal adoption, assess leadership understanding, and define what “innovation” realistically means in the organisation. Establish commercial priorities and success criteria.

  • Session 2 – Opportunity Mapping

    Identify high-value opportunity zones across operations, training, quality and data. Separate automation from augmentation. Prioritise use cases based on impact, feasibility and risk. Narrow to 3–5 serious candidates.

  • Session 3 – Governance, Capability & Readiness

    Define guardrails for responsible AI use. Review data sensitivity, IP protection, compliance and global considerations. Assess internal capability gaps and determine where training, policy or tooling upgrades are required.

  • Session 4 – Roadmap & Pilot Definition

    Convert insight into action. Select 1–2 priority pilots with clear proof-of-value metrics. Define ownership, timeline and board visibility. Produce a practical 6–12 month innovation roadmap.

The work with Door4 was incredibly thought-provoking. It helped us see how our existing data could support better decisions and better commercial conversations. The focus on prioritising what to do first gave us a clear path forward.
Lee Williams
Managing Director, Moorhouse's Brewery

Next steps

Innovation Executive is designed for senior marketing and commercial leaders who want clarity before committing time, budget, or internal focus.

We work with leadership and the people closest to the work. We review live systems, documents and workflows. That evidence becomes a shared view of priorities and next steps.

By the end, you’ll have:

  • A shared view of what matters and what doesn’t
  • A prioritised AI / innovation opportunity backlog
  • A readiness snapshot (data, systems, people, culture)
  • A near-term roadmap (typically 90–100 days) with clear owners and sequencing
  • Responsible AI guardrails (v1)
Real Examples from Client Engagements
Below are examples of services and pilot projects we’ve mapped with clients through this programme. Each one began with observing how work actually happens inside the business – then identifying where time, accuracy or decision quality could be improved in a measurable way.
  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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).

What happens in the sessions?
Each half-day is structured and adaptive. We walkthrough real processes and decision paths, review live systems and documents, and map constraints, dependencies and workarounds.

What do we get at the end?
A small set of decision-grade outputs: a prioritised opportunity backlog, readiness snapshot, near-term roadmap (typically 90–100 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.

Can we run multiple programmes?
Yes. If teams operate with materially different realities, multiple 4× half-day programmes can run in parallel or sequence. Insights can be synthesised at leadership level when useful.

Does this include implementation?
Innovation Executive produces decision-grade direction and prioritisation. Any follow-on implementation work is scoped separately once there is shared understanding.

Take the Next Step

If AI and innovation are already being discussed in your business, it’s probably time to structure the conversation properly. Let’s talk.