Technical plan
Integration architecture, data flow, security + compliance posture, environments, deployment approach, monitoring + observability.
The AI Feasibility Study is a two-to-three-week deep dive on a single candidate AI use case. £3,950 fixed fee. Produces the board-ready business case + technical plan needed to commit to a full implementation. Sits between the £2,450 Readiness Audit (whole-business) and the £8,000+ Implementation Sprint (the build). You commit budget to the right use case with evidence, not a hunch.
Most SMEs go straight from Audit → Sprint and that's right.
The Feasibility Study exists for cases where the Sprint scope needs more rigour: investments over £20,000, multiple vendors in contention, complex legacy integration, regulated industries, or boards that need a written business case before approving spend. If any of those apply, the £3,950 / 2-3 weeks pays back many times over by de-risking the much larger Sprint commitment.
The Feasibility Study deliverable is a substantial document: written, defensible, and structured for board scrutiny. Below: the six sections every Study contains.
Executive summary, problem statement, proposed AI capability, sequencing recommendation. The 5-page document your board reads first.
See detail →Labour savings, revenue lift, risk reduction, payback period, 3-year NPV, sensitivity analysis. Defensible against finance scrutiny.
See detail →Off-the-shelf vendors evaluated. Custom build evaluated. Hybrid recommended where appropriate. Decision framework you can defend.
See detail →Top 3 vendors evaluated: capability, pricing, contract terms, lock-in risk, data residency, integration effort. Side-by-side comparison.
See detail →Integration architecture, data flow, security + compliance posture, environments, deployment approach, monitoring + observability.
What could go wrong + mitigations. Implementation roadmap with owners, milestones, governance touchpoints. Sprint-ready scope at the back.
We need roughly 4-6 hours of your time across the engagement. Everything else is our work: vendor interviews, technical assessment, document drafting.
90-minute kick-off call. Confirm the use case scope, the success criteria, the budget envelope, the stakeholders. Access to relevant existing data/systems agreed.
Vendor interviews, technical assessment, integration scoping, ROI modelling, governance review. Light-touch check-ins with you mid-week.
Draft document shared. 60-minute review call. Your input shapes the final version: corrections, refinements, additional scrutiny on specific sections.
Final 30-40 page document delivered. 60-minute readout call with your team. Q&A. PDF + editable source. Two follow-up emails included over the next 30 days for board questions.
The Feasibility fee is partially credited against any subsequent Wingenious engagement (typically £1,500 against a Sprint). Partial rather than full because the deliverable itself has standalone commercial value: you can take it to a different vendor and be substantially de-risked.
A 2-to-3-week deep dive on a single candidate AI use case, scoped from the Readiness Audit. It produces a board-ready document covering: built-vs-buy analysis, ROI projection with sensitivity, vendor shortlist with pros/cons/pricing, technical viability assessment, integration scope, governance + risk register, implementation plan. £3,950 fixed fee. The recommended step between the Audit (whole-business assessment) and the Sprint (the build).
Skip the Feasibility Study if: the use case is obvious + low-risk, off-the-shelf vendor selection is clear, the integration is simple, your board does not need a written business case. Do the Feasibility Study if any of the following apply: investment is over £20,000, multiple vendors are in contention, complex integration with legacy systems, regulated industry, governance scrutiny is required, board approval is needed. Most SMEs in the £1m-£20m turnover range skip to Sprint; SMEs in £20m+ usually run the Feasibility first.
The Audit is whole-business (£2,450, 5 days): scores AI readiness across five dimensions, ranks five candidate use cases by effort/impact/risk, produces a 90-day roadmap. The Feasibility Study is single-use-case (£3,950, 2-3 weeks): takes one candidate (usually the top-ranked from the Audit) and produces the detailed business case + technical plan needed for board sign-off and Sprint scope.
Partial credit. The £3,950 Feasibility fee is partially credited against any subsequent Wingenious engagement booked within 60 days, typically £1,500 credited against a Sprint or Custom Build. The £2,450 Audit also carries a 50% credit (£1,225) on the same terms. Both Feasibility and Audit are priced at their standalone commercial value: the deliverables stand on their own, and the credit is the bonus for continuing rather than a refund of an inflated fee.
No, by design. The £3,950 fixed fee covers depth on ONE use case. The discipline of "one use case, fully scoped" prevents the Feasibility from becoming an expanded Audit. If you need depth on multiple use cases, we run multiple Feasibility Studies sequentially or use the Fractional CAIO engagement to cover scoping at a different cadence.
Day 1: kick-off call (90 mins). Days 2-10: deep dive (vendor interviews, technical assessment, integration scoping, ROI modelling, governance review). Day 11-12: draft document review with you (your input shapes the final). Day 13-14: final document delivered + 60-minute readout call. Document is ~30-40 pages: executive summary, business case, technical plan, risk register, implementation roadmap, vendor shortlist, ROI model.
Most manufacturing AI investments justify a Feasibility Study: ERP integration, regulatory compliance, capital expenditure. Made Smarter grant application support included.
Regulated industry. Most partner-firm AI investments need a board-ready Feasibility before sign-off. SRA-aligned controls covered.
Practice-wide AI deployments across Xero/QuickBooks/Sage integration usually justify a Feasibility before the Sprint commitment.
When investment scrutiny matters, the Feasibility Study turns "AI looks interesting" into "this is what we'll build, why, with whom, for what return".