Advisory
The best AI strategy isn't to deploy everywhere. It's to deploy where it matters. Our advisory engagements help organisations identify, validate, and prioritise the use cases most likely to deliver meaningful business impact.
Four decisions, made properly, before anything is built.
Most AI initiatives don't fail because of the technology. They fail because the wrong problem was chosen, the wrong team went first, or the business case never held up in practice. This engagement helps you make those decisions early, before time, budget, and momentum are spent.
Is AI the right answer?
Not every problem needs AI. Sometimes the best solution is a process change, better reporting, or clearer ownership. We'll help you separate genuine AI opportunities from problems that can be solved more simply and cost-effectively.
Where should you start?
The first deployment shapes everything that follows. Selecting the right department, use case, and stakeholders creates a foundation that makes future adoption faster, easier, and more successful.
What needs to be considered from day one?
Security, governance, compliance, and data protection cannot be an afterthought. We identify these requirements early so solutions are designed to meet them from the start, rather than being forced to adapt later.
What should success look like?
Every initiative needs a clear business case, realistic budget, and measurable outcomes. We define the success criteria upfront, so you know what to invest, how to evaluate progress, and when to scale, refine, or stop.
Four ways to work with us.
Most clients start with an assessment and continue into a build. Some only ever need the first conversation, which is a perfectly good outcome.
AI Readiness Assessment
An honest read on where AI will and will not pay for itself in your organisation — grounded in your data, systems and constraints rather than a generic maturity model.
What you receive
- Use-case inventory scored on value, feasibility and risk
- Data and systems readiness findings
- Prioritised twelve-month sequence with budget ranges
- Board-ready summary of what to do and what to decline
Solution Architecture & Build
We design the system and build it with your team — retrieval, evaluation, guardrails and deployment — then hand over something your engineers can own.
What you receive
- Reference architecture and integration design
- Working system in your environment, not a slide deck
- Evaluation harness and quality gates
- Runbooks and engineer enablement
AI Governance & Assurance
The policy, controls and evidence needed to deploy AI in a regulated environment — and to keep deploying it after the first audit.
What you receive
- AI usage policy and model inventory
- Control framework mapped to EU AI Act and ISO/IEC 42001
- Evaluation and monitoring standards
- Audit evidence pack and reviewer walkthrough
Executive Briefing & Enablement
Sessions that leave decision-makers able to interrogate an AI proposal properly — no hype, no jargon, worked through your own scenarios.
What you receive
- Board or exco briefing tailored to your sector
- Working sessions on live internal proposals
- Vendor and proposal evaluation checklist
- Follow-up advisory retainer if useful
How an engagement runs.
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01
Discover
Two weeks understanding the constraint you actually have, not the one in the brief.
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02
Frame
A shortlist of use cases scored on value, feasibility and risk, with baselines defined.
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03
Prove
One narrow slice built and measured against the baseline, in your environment.
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04
Scale
Production hardening: evaluation gates, monitoring, access control, runbooks.
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05
Hand over
Your team owns it. We stay on retainer only if that is genuinely useful.
We build AI platforms. That's exactly why transparency matters.
We believe organisations should know what an AI system knows, where it learned it from, and why it produced a particular answer. AIMY is designed with governance, traceability, and organisational control at its core, helping teams adopt AI confidently without treating it as a black box.
Bring the problem, not the solution.
The most useful first call is the one where you describe what is actually going wrong and we tell you plainly whether AI is the right instrument for it.