Why this matters
Most AI consulting produces a slide deck and a pilot that never reaches production. Teams do not need another strategy document. They need to know which three workflows to automate first, what it will cost, and what to skip.
Service
Agentic AI Consulting
Agentic AI is the shift from tools you prompt to systems that carry work end to end. We consult from the operator seat. Our own agency runs on agents we built, which changes the advice you get.
Result focus
A clear, costed path from zero to working agents, grounded in what we already run in production for our own business and for clients in the UK and US.
Our approach
- 01.Audit how work actually moves through your team, not the org chart version.
- 02.Score workflows by hours saved, error cost, and how easy the output is to check.
- 03.Prototype the highest-value agent early so decisions rest on evidence, not theory.
- 04.Deliver a build roadmap with honest costings, including the things not worth automating.
What is included
- Workflow and AI-readiness audit
- Prioritised automation roadmap
- Working prototype of the first agent
- Build vs buy recommendations
- Governance and human-review design
FAQ
What is the difference between agentic AI and normal automation?
Traditional automation follows fixed rules. If this, then that. An agent can plan, use tools, and judge its own output, which lets it take on messy knowledge work like research, drafting, and triage. That extra judgement is also why agents need review gates that rule-based automation never did.
What does an engagement look like?
Two to four weeks for the audit and roadmap, with a working prototype inside that window where scope allows. You can take the roadmap to any builder, including your own team. Plenty of clients ask us to build the first system, but nothing forces that.
Where are you based?
Milton Keynes and New York, with most consulting delivered remotely. UK clients get a team that understands FCA rules on financial promotion; US clients get overlap on Eastern hours.
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