A.2 · Artificial Intelligence & Machine Learning
Agentic AI Systems & Enterprise Copilots
Agents that hold a plan, call real systems, and stop where they should
What we build
Multi-step agent runtimes wired into the systems an organisation actually runs on. Tool and function-calling layers over internal APIs with a typed contract per tool, planner and executor loops with bounded retries, durable run state that survives a restart, policy checks and human approval gates on every irreversible action, token and cost budgets enforced per run rather than per request, and a replayable trace of every call an agent made.
Capabilities
- Typed tool contracts over internal APIs, so an agent cannot call what it was not given
- Planner and executor loops with bounded retries and durable state across restarts
- Human approval gates on every irreversible action, by design rather than by convention
- Token, latency, and cost budgets enforced per run, with a ceiling that cannot be exceeded
- Copilots embedded in the tools people already use: web, Slack, Teams, and your own app
- Replayable end-to-end traces, so you can explain in March what happened in January
Related services
How it connects
Where it sits in the stack.
This service, and the two it hands off to. None of them can be optimised alone.
Agentic AI & Copilots
Multi-step agent runtimes wired into the systems an organisation actually runs on.
Generative AI & LLMs
Production systems built on large language models, hosted or self-hosted.
AI & Machine Learning · see serviceComputer Vision
Vision pipelines that run at the speed of the process they watch.
AI & Machine Learning · see serviceBring us the whole problem.
Tell us where the work is stuck, whether that is a model that never reached production, an application nobody can change, a data platform nobody trusts, or a plant the business cannot see. An engineer replies with a first read, not a sales deck.