AI Consulting
Find where AI pays, and where it doesn't.
Works with the world's leading AI platforms
- Anthropic · Claude
- OpenAI · ChatGPT / GPT
- Google Gemini
- Microsoft Copilot
Why now
Agentic AI, meaning models that can read, decide and act across your tools, is now a production technology. Providers such as Anthropic, OpenAI, Google and Microsoft are shipping models that work inside email, documents, CRMs and code. Open standards such as the Model Context Protocol, introduced by Anthropic, now let AI connect to business systems in a controlled way. The organisations that win will not be the ones that try the most tools. They will be the ones that choose the right processes, put guardrails in place and measure the result.
AI Impact & Opportunity Review
A fixed-scope review of how your organisation works today, and where AI can help.
- Landscape audit
- your key processes, systems, data flows and manual workarounds, mapped with the people who run them.
- Opportunity map
- every candidate use case scored for value, feasibility and risk, with a realistic view of the time and cost each could save.
- Data readiness
- whether the data each use case needs is accurate, accessible and lawful to use.
- Risk and governance
- UK GDPR, the EU AI Act where it applies, sector rules and your own policies; who approves what, and how decisions are logged.
- Your roadmap
- a short list of priorities, a 90-day plan and the business case for each.
Typical duration: 3–6 weeks, fixed fee agreed up front.
Prove it
We build a working pilot on your real processes and data, inside a controlled environment, and measure it against the baseline. You see actual results before you commit to scale.
Build and embed
We engineer production AI: assistants and agents connected to your systems, automation of document-heavy and repetitive work, and AI-ready data pipelines. Every build includes human approval for consequential actions, a full audit trail, evaluation before release, and monitoring after.
Govern and upskill
AI policy, model risk and approval frameworks, vendor and model selection, and practical training so your people use AI well and safely.
Human in control. AI drafts and recommends; people approve anything that matters.
Our principles
- Platform-neutral.
- We work across the leading models and platforms and recommend what fits your needs, not what we resell.
- Human in control.
- AI drafts and recommends; people approve anything that matters.
- Evidence over enthusiasm.
- Every recommendation shows its reasoning and the data behind it.
- Cost you can see.
- We estimate savings and running costs before you build, and measure them after.
Where AI typically helps first
Document review and extraction · client onboarding and KYC preparation · reconciliations and exception handling · reporting and management information · service desk and internal knowledge · recruitment and resourcing workflows · software delivery and testing.
FAQ
Do we need perfect data first?
No. The review tells you which use cases your data supports today and what to fix for the rest.
Will AI replace our people?
Our focus is removing low-value work so your people spend time where judgement matters. We'll be honest about the workforce impact of each option.
Which AI provider should we use?
It depends on your security, cost and capability needs. We're platform-neutral and will compare options for your use case.
Is it safe for a regulated firm?
It can be, with the right controls: approval steps, audit trails, data boundaries and testing. Designing those controls is part of our work.
Start with one honest conversation.
In 30 minutes we'll talk through where AI, data or hiring could move the needle for you, and whether we're the right people to help. No pitch deck.