AI Strategy & Readiness — A 2-Week Diagnostic That Turns Ambition Into a Plan
An AI readiness assessment is a structured diagnostic that evaluates your data, identifies and prioritises AI use cases by ROI, and produces a costed implementation roadmap. Perimattic's AI Blueprint delivers this in a fixed 2 weeks as a board-ready plan.
Overview
What is AI Strategy & Readiness?
An AI readiness assessment reviews whether your data, systems and processes are ready for AI, shortlists the highest-ROI use cases, and lays out a prioritised, costed roadmap to implement them. Perimattic's AI Blueprint is a fixed 2-week engagement that replaces guesswork with a concrete, board-ready plan.
The most expensive AI mistake isn't a failed model — it's spending six months building the wrong thing. AI Blueprint prevents that. In two weeks we assess your data maturity, map where AI can actually move a number in your business, score those opportunities on ROI versus effort, recommend the architecture, and hand you a costed roadmap you can take to your board. It's deliberately independent of the build: you leave with a plan you could execute with us, in-house, or with anyone. Most firms give this away in pre-sales; we productized it because a paid diagnostic produces a sharper, more honest plan than a free pitch ever will.
The Blueprint deliverable is a board-ready deck plus a written roadmap. It names the use cases in priority order, the model or architecture we would recommend for each, the ROI estimate with the assumptions written down, and the implementation cost. It also names the use cases we would not do — with the reason, in plain language. That "no" list is often the most useful part of the engagement.
What You Get
What you get
A fixed 2-week engagement producing a board-ready deck and roadmap: data maturity assessment, prioritised use-case shortlist, model and architecture recommendation, ROI projection, and a costed, sequenced implementation plan with a clear go/no-go on each opportunity. The deliverable is written to be executable by us, by your in-house team, or by any other vendor — the Blueprint is the plan, not a lock-in to a build.
Scope
Fixed scope — what is and is not included
| Not included | Included |
|---|---|
Implementation or build (that is the other five services in the suite) | Data and readiness assessment across the systems in scope |
Data cleanup or migration | Use-case discovery through leadership and operator workshops |
Proof-of-concept development | ROI-versus-effort scoring across the shortlist |
Vendor selection for tools we do not use | Model and architecture recommendation per prioritised use case |
ROI projection with assumptions documented | |
Costed implementation roadmap with sequencing | |
Board-ready presentation deck | |
Explicit go / no-go per use case with reasoning |
| Timeline | Best for | Deliverable |
|---|---|---|
| 2 weeks (fixed) | Leadership teams starting or re-focusing an AI initiative; boards and investors evaluating an AI business case | Board-ready strategy deck + written roadmap + go/no-go per use case |
Process
How it works
Discovery workshops
Two to four workshops with your leadership team and the operators who will actually use whatever gets built. We understand the goals, the data, the systems, and the constraints — including the unwritten ones like which team really owns which process.
Readiness assessment
We evaluate data maturity — completeness, cleanliness, structure, access — and technical fit across the systems in scope. This is where "we want to do AI" becomes "here is what your data will actually support."
Use-case scoring
We shortlist and rank use cases by ROI-versus-effort. Every candidate is sized against a rough cost, a rough time to first value, and a rough impact on a business number that leadership actually cares about. The ranking is defensible in a board meeting.
Roadmap
Architecture per prioritised use case, cost estimate, sequencing across quarters, dependencies between initiatives, and an explicit go/no-go with reasoning. This is the deliverable your CFO reads.
Readout
Board-ready presentation to your leadership team plus the written roadmap for reference. Q&A is included so your team leaves with a clear picture of what to do next — and what not to.
Use Cases
Use cases
AI Blueprint is designed for the moment when someone senior has said "we should do AI" but nobody has yet said what, why, or how much. It converts that ambition into a plan a board can approve.
First AI initiative and no idea where to start
Leadership has been told AI is important; the team has been told to figure it out. AI Blueprint replaces the guessing with a prioritised list of use cases, sized against your data reality and your business numbers.
Stalled AI programme that needs refocusing
The last AI initiative shipped a proof-of-concept that never made it to production. Blueprint diagnoses why — usually a mix of wrong use case, wrong data readiness, and wrong sequencing — and produces a re-plan that avoids the same fate.
Choosing between competing AI ideas
Every function has a favourite AI idea, and they can't all be first. Blueprint scores them on the same ROI-versus-effort scale so leadership can prioritise without picking sides.
Building a board or investor case for AI spend
Blueprint produces the deck: what will be built, why it is worth building, how much it costs, when it pays back, and what could go wrong. Board-ready in two weeks rather than three months of internal drafting.
Results
Proven in production
Multiple Blueprint engagements have converted into build engagements across the AI Suite — including enterprise RAG deployments, AI-driven workflow automations, and ERP AI integrations. Just as importantly, some Blueprint engagements have concluded that the timing was wrong or the data was not ready, and the customer avoided spending six months building the wrong system. Both outcomes count.
Why Us
Why Perimattic for AI consulting
Because we also build. Our roadmaps are grounded in what actually ships — costs, timelines and architectures we stand behind because we deliver them every week. Independent enough to trust, practical enough to execute. If we say a use case is a bad idea, that is not a sales strategy — it is the DevOps and delivery discipline Perimattic has run on since 2018, and honest guidance on whether AI solves your specific problem is a differentiator we lead with.
Frequently Asked Questions
Frequently asked questions
What is in an AI readiness assessment?
A data maturity evaluation, a use-case discovery workshop set, an ROI-versus-effort scoring of the candidate use cases, model and architecture recommendations, a ROI projection with assumptions written down, and a costed implementation roadmap. AI Blueprint delivers all of these as a single board-ready package in a fixed 2-week window.
How long does it take?
Fixed 2 weeks. Week 1 is discovery workshops and data assessment; week 2 is scoring, roadmap production, and readout. Timeline slippage is our problem, not yours — the window is committed at engagement start.
Do we have to build with you afterward?
No. AI Blueprint is deliberately independent of the build. You walk away with a plan you can execute with Perimattic, in-house, or with any other vendor. If you do choose to build with us, the Blueprint fee is often credited toward the first build engagement — but there is no obligation and no pressure.
What do we walk away with?
A board-ready presentation deck, a written roadmap, a prioritised list of AI use cases with ROI-versus-effort scores, a recommended architecture per prioritised use case, a costed implementation plan sequenced across quarters, and an explicit go/no-go on each use case with reasoning. The deliverable is executable by any competent vendor, not just Perimattic.
Who should be involved from our side?
Leadership sponsor (usually a C-level or head-of-function), the operators who will actually use whatever gets built (this is the critical group most engagements underinvest in), and a data or IT lead who can answer questions about system access, data structure, and integration constraints. Two to four workshops totalling roughly 8–12 hours of your team's time across the two weeks.
Is the fee credited toward a build?
Frequently, yes. If you engage Perimattic for a build service in the six months following an AI Blueprint, the Blueprint fee is credited against the first build engagement. This is not a lock-in mechanism — the Blueprint deliverable stands on its own and can be executed by anyone — but customers who do choose to build with us get the credit.
What does it cost?
AI Blueprint is a fixed fee for the fixed 2-week engagement. Some engagements price higher based on the number of systems in scope, the number of workshops required, or the geographic scope of the leadership team. We quote the exact fee before you commit — contact us for a proposal.
Related
Related in the Perimattic AI Suite
AI Blueprint pairs naturally with these sibling modules.
AI Agent Development
A common Blueprint outcome is "build an agent for workflow X."
ExploreEnterprise RAG
Another common Blueprint outcome is "deploy a private knowledge assistant."
ExploreMachine Learning Development
When the Blueprint points at forecasting, classification, or anomaly detection, this is the next step.
ExploreBook an AI Blueprint — fixed price, fixed timeline
One-page scope. One-page price. One clear delivery window.
Book an AI BlueprintOr email us at sales@perimattic.com
Perimattic AI Suite — All Services