AI Consulting Firm & AI Strategy
Consulting that ends in working software.
Most AI consulting ends in a slide deck. Ours ends in a running pilot. We audit your workflows, find the use cases that are actually worth money, and prove them on your real data in weeks — because the same team that writes the roadmap builds the thing.
What we deliver
Advice that survives contact with production.
/ 01
AI opportunity audit
A structured pass over your workflows and data: where AI genuinely saves hours, where it doesn't, and what each candidate costs to try — ranked by ROI and feasibility, not hype.
/ 02
AI strategy & roadmap
A concrete plan: use cases, model choices, build-vs-buy calls, budget, and sequencing — written for the people who have to execute it, not for a board slide.
/ 03
Pilot builds
A scoped proof-of-value in two to four weeks, wired to your real data. If the numbers don't hold, you learn that cheaply — before a serious budget is committed.
/ 04
Enablement & governance
Prompting practice, tooling choices, data-privacy guardrails (GDPR included), and review workflows — so your team can run and extend what we hand over.
Tools we reach for
- Anthropic Claude
- OpenAI
- Gemini
- Vercel AI SDK
- n8n
- Firebase
How we work
Audit
Workshops with the people who do the work. We map workflows, data, and constraints, and collect the manual tasks that eat the most hours.
Prioritise
Every candidate gets an honest ROI-times-feasibility score — cost, latency, failure modes, privacy. Most ideas die here. That's the point.
Pilot
The strongest use case becomes a working pilot on real data within weeks — measured in time saved, not tokens consumed.
Scale
What proves out gets hardened, documented, and handed over — with your team trained to own and extend it.
FAQ
Questions we get a lot.
- What does an AI consulting firm actually deliver?
- Three things: an audit of where AI genuinely helps your business, a roadmap with honest cost and feasibility calls, and — where the case is strong — a working pilot. You end up with running software and a plan, not a slide deck.
- How much does AI consulting cost?
- The audit and roadmap is a deliberately small fixed engagement; pilots are scoped to two to four weeks. We keep the first step cheap because its job is to tell you whether the bigger investment is worth it.
- Do we need an AI strategy, or should we just build something?
- If one use case is obvious and small, just build it — and we'll say so. A strategy pays off when many ideas compete, several teams are involved, or real privacy constraints apply. The audit tells you which situation you're in.
- Is this GDPR-compliant? What happens to our data?
- We design for it from the start: EU hosting options, data minimisation, scoped access, and model providers chosen to fit your privacy requirements. What data goes where is documented before anything ships.
- Do you only advise, or do you implement too?
- Both — that's the difference. The team that writes the roadmap builds the pilot and, if you want, the production system. Recommendations stay honest when their authors have to implement them.
Related services
AI automation & agents
Ready to build? Workflow automation, LLM integrations, and custom AI agents — from the same team.
AI agent development
Ready for an agent with a real job? Custom agents and chatbots, wired to your data and tools.
AI & LLM integration
AI as a product feature — Claude, GPT, or Gemini wired in with RAG, evals, and cost controls.
Working together
Wondering what AI can do for your business?
Start with an audit. A short conversation tells us both whether there's real leverage to find.