How is this different from an AI Readiness Audit?

The audit is the fixed-scope version of this work, and for most companies it is the better starting point. A broader consulting engagement makes sense when the question spans several business units, when a decision is contested internally, or when the output has to survive a board.

Do you recommend your own implementation?

The deliverable is written so any competent team can execute it, and that is deliberate. If the recommendation only makes sense when its author implements it, the assessment was compromised. We will quote for the build if you want it, after the recommendation exists.

What if we already know what we want to build?

Then the engagement tests whether it survives your data, your economics and your regulatory position, which is cheaper than discovering it will not halfway through. Confirming a decision quickly is a good outcome; finding the wrong one is a better one.

How long before we have something usable?

A ranked map and a first project definition typically take two to four weeks, driven more by data access approvals than by analysis. Identifying who grants that access in week one changes the timeline more than anything technical.

← All Services

AI Strategy & Consulting

Not sure where to start with AI? We help you cut through the noise, identify real opportunities, and build a strategy that delivers ROI.

What We Do

AI Readiness Assessment

We evaluate your data infrastructure, team capabilities, and business processes to determine where AI can have the most impact.

Technology Selection

We recommend the right tools and platforms - not the trendiest ones. Our advice is vendor-neutral and focused on your needs.

Implementation Roadmap

A clear, phased plan with milestones, resource requirements, and expected outcomes. No surprises, just progress.

ROI Analysis

We build the business case for AI investment, including cost projections, efficiency gains, and revenue impact.

Who It's For

Our consulting services are ideal for:

→ Companies exploring AI for the first time
→ Teams that tried AI but didn't get results
→ Executives needing a clear AI business case
→ Organizations planning large-scale AI adoption

Typical engagement

2-4 weeks for assessment and roadmap. Ongoing advisory available.

{# The citation-ready half of a service page: who it is for, what it needs from you, what you get back, worked scopes, and the compliance constraints that shape all three. Driven entirely from view context so the copy stays translatable and the five pages stay structurally identical. #} {# A self-contained answer passage: one question, answered completely in the first sentence, sized so an answer engine can quote it without the surrounding page. Mirrors the "answer block" rule the blog writing skill applies to article H2s. #}

What does an AI consulting engagement actually deliver?

An AI consulting engagement delivers a decision, not a technology recommendation. It ends with a ranked list of use cases scored on impact, feasibility, risk and effort, a build-versus-buy call on each, a defined first project, and the evidence behind that ranking. If it ends with a document describing what AI could theoretically do for your sector, it was not consulting, it was research you could have read.

The work is deliberately front-loaded onto the questions that decide everything downstream: which decision would actually change, whether the data behind it can be reached repeatedly, what the return looks like once lifetime running costs are counted, and where the system sits under the EU AI Act and GDPR.

A legitimate and common outcome is that nothing should be built yet, because the binding constraint turns out to be an undefined process or data that does not exist.

Who this is for

Leadership teams with a mandate to do something with AI and no roadmap.
Companies whose first pilot produced encouraging results and no path to production.
Teams weighing vendor proposals they cannot evaluate internally.
Regulated businesses that need the compliance question answered before committing budget.

What we need from you

Access to whoever owns the process that would change.
Whatever you already measure about it, however untidy.
A list of candidate use cases, even a rough one.
One person who can grant access to the relevant data.

What you get back

A ranked use case map with the scoring made explicit.
Build, buy or do-nothing recommendation per use case.
EU AI Act tier and GDPR exposure for each candidate.
A defined first project, scoped small enough to learn from.
A written record you can hand to any competent team.

What a typical engagement looks like

A manufacturer with five ideas and no sequence

Two weeks establishing which lines carry reachable machine data, what each idea would move on the P&L, and which one survives contact with the plant. Usually ends with three ideas dropped and one specified.

A healthcare provider evaluating a vendor

Assessment of the proposal against your data reality and regulatory position: whether the claimed performance transfers to your patient mix, whether the system is a medical device, and what you inherit as deployer.

A company with a stalled pilot

Diagnosis of why it stalled, which is usually a missing owner, an unreachable data path, or a workflow nobody changed, followed by a decision on whether to fix, restart or stop.

Regulatory and data constraints

Regulatory position is established during the assessment rather than reviewed afterwards. Every candidate use case is classified against the EU AI Act tiers and checked for personal data exposure under the GDPR, because a use case that turns out to be high-risk has a different cost profile and belongs lower in the ranking for that reason alone.

Where a system is genuinely ambiguous, that is reported as ambiguous and flagged for legal review rather than resolved with a guess. This is practical readiness work, not legal advice, and it runs alongside your counsel.

Frequently asked questions

Being found by AI search

Buyers increasingly reach a shortlist through an AI assistant rather than a search results page, which changes what your content has to do to be quoted at all.

What is Answer Engine Optimization?

Ready to Get Started?

Book a free consultation to discuss your AI project.

Book a Call Send a Message