Sheet A-01 / AI agents and agentic AI
We design, build and run AI agents that automate real workflows in your business: integrated with the systems you already use, governed to your standards, and measured on the results they deliver.
Leadership sees the potential. Teams run pilots. Then the pilot stalls: the agent does not understand the business well enough, nobody owns it, and there is no way to prove it behaves. The technology and the business have different centres. We close that gap with a structured path from use case to production agent, and the governance to keep it there.
Firmitas, utilitas, venustas.
A short, fixed-scope engagement to identify where agents can create measurable value in your business. You get a prioritised use-case backlog, a first value case, and a roadmap covering the data, systems and governance needed to deliver it.
Production-grade agents built around your workflow, not around a platform. We model the business rules and data the agent depends on, integrate it with your ERP, CRM and data platform, and ship it with clear boundaries on what it may do.
Written policies, guardrails and evaluation suites that prove every agent stays within its mandate: what it may access, when it must escalate, and how its decisions are logged. The evidence risk, compliance and the board need to sign off.
Monitoring, evaluation and continuous improvement for agents already in production, delivered as a managed service or alongside your own team. Results reported, costs controlled, capability transferred as your team grows into it.
Find the workflows where an agent moves a number that matters, and confirm your data and systems can support it. One value case, agreed with the people who own the process.
Design and build the agent in your environment, test it against real cases, validate with a pilot where needed, and move it into production with guardrails in place.
Monitor results, improve the agent, and transfer ownership to your team, with as much ongoing support as you want.
Every engagement starts with the outcome and the number it moves. Use cases are prioritised on value and feasibility, and results are measured from the first agent onward.
Built in your environment, to your security and compliance standards, with governance, monitoring and evaluation included rather than added later.
Your people take part in the build, documentation is part of the deliverable, and ownership transfers at hand-over. You need us less over time, not more.
Python · Microsoft Fabric · dbt · Azure · AWS · Claude
A 30-minute conversation about your use case: where you are, what is possible, and what a sensible first step looks like. No obligation.