“Where do we start?”
You know AI matters but not where it fits. We map the opportunities across your business and rank them by value and effort.
Know where AI helps.
Before you build.
The costliest AI mistakes happen before a line of code — the wrong use case, unready data, a tool bought on hype. We help you find where AI actually pays off, prove it’s feasible, and leave with a realistic, governed roadmap.
Vendor-neutraladvice, not
a sales pitch
a sales pitch
ROI-firstuse cases scored
on real value
on real value
Actionablea roadmap you
can act on Monday
can act on Monday
Opportunity assessment
Feasibility & ROI
Architecture & vendor choice
A governed roadmap
When it helps
Clarity before
Clarity before
you commit budget.
Consulting earns its fee by saving you from the expensive wrong turn — and pointing budget at the work that will actually return.
“Is this even feasible?”
You have an idea and a budget question. We pressure-test feasibility, data readiness and ROI before you commit to building.
“Build or buy?”
You’re weighing a vendor against a custom build. We give a straight, neutral read on architecture, cost and lock-in.
“Is our team ready?”
You want to build in-house capability. We assess skills, set guardrails and governance, and upskill your people.
What’s included
From opinion
From opinion
to evidence.
Not a slide deck of buzzwords. A grounded assessment of what’s worth doing, what it takes and how to do it safely.
01
See the whole board
Opportunity mapping
We inventory where AI could help across your workflows and score each idea on value, effort and risk — so you invest with eyes open.
Use-case discoveryValue scoringEffort estimatePrioritisation
02
Prove it before you fund it
Feasibility studies
A focused assessment — sometimes a quick prototype — that answers “will this actually work well enough?” before the big spend.
Technical reviewPrototypeRisk analysisGo / no-go
03
Good AI needs good data
Data readiness review
We assess whether your data can support the use case — quality, access, structure — and what it’ll take to get it ready.
Data auditAccess & gapsQualityGovernance
04
The right shape, the right vendor
Architecture & build-vs-buy
A neutral view on models, tooling and whether to build, buy or blend — weighing quality, cost, privacy and lock-in.
Model choiceReference architectureVendor reviewCost model
05
Safe by policy, not by luck
Governance & risk
Practical policies for privacy, security, human oversight and acceptable use — the guardrails that let you adopt AI responsibly.
AI policyPrivacy & securityOversightCompliance
06
A plan you can act on
Roadmap & enablement
A sequenced roadmap with owners, milestones and budgets — plus optional enablement so your team can carry it forward.
Phased roadmapBudgetsTeam upskillingKPIs
How we work
A short engagement
A short engagement
with a real deliverable.
Consulting that ends in a document you can act on — not a retainer that never quite lands. Typically two to four focused weeks.
Discovery
We meet your team, learn the business and the pain points, and gather the context — workflows, tools, data and goals — that decisions will rest on.
Use-case scoring
We surface the opportunities and rank them on value, effort and risk, so the conversation moves from “AI sounds good” to “this one, first.”
Feasibility & data
For the top ideas we test feasibility and data readiness — sometimes with a quick prototype — so the plan rests on evidence, not optimism.
Architecture & risk
We recommend the shape of the solution, the build-vs-buy call and the governance to adopt it safely — vendor-neutral throughout.
Roadmap
You get a sequenced roadmap with owners, milestones, budgets and expected returns — a plan your team and your finance lead can both sign off.
Enablement
Optionally, we upskill your team, set the guardrails and stay on call — or pick up the build ourselves if you’d rather we run it.
Direct answers
Questions before
Questions before
we start.
Good consulting is candid from the first call — here are straight answers to what people ask before engaging.
Ask us somethingA prioritised list of AI opportunities, a feasibility and data-readiness read on the top ones, an architecture and build-vs-buy recommendation, and a sequenced roadmap with budgets and expected returns — documents you can act on immediately.
Usually two to four focused weeks, depending on scope and how many use cases we assess. It’s deliberately short — the goal is a decision and a plan, not an open-ended retainer.
Neutral. We recommend build, buy or blend based on your situation — and we’ll tell you honestly when AI isn’t the right answer at all. If you later want us to build, great; if not, the plan still stands.
Yes. We can hand the roadmap to your team, deliver it ourselves, or work alongside you — the consulting stands on its own either way, so there’s no lock-in.
It’s a fixed-scope engagement priced to the number of use cases and depth of feasibility work. We agree the scope and price up front — no open-ended meter.
Contact
Let’s make the next
Let’s make the next
move count.
Tell us what you are building. We will come back within one business day with questions, not a pitch deck.