AI that does the work, not just the talk
Agents grounded in your data and tools, customer support, operations, research and document workflows with guardrails, oversight and evaluation built in.
Strategy, design and engineering, one practice, delivered in slices.
Grounded, guarded, observed, production AI.
The practice.
The distance between an impressive AI demo and a dependable AI employee is the entire job. Demos charm; production agents need grounding in real data, permission to act within explicit boundaries, graceful fallback when confidence drops, and evaluation that catches regressions before users do. That distance is engineering.
We build agents as systems: retrieval over your documents and APIs, tool-calling into the software that runs your business, human escalation paths that make sense, and observability that shows exactly why an agent did what it did. Security is architectural, access scoped to the agent's role, sensitive actions gated, every decision logged, because an agent with credentials is an employee with keys.
Delivered as
- Fixed-scope projects
- Staged programmes
- Retainer partnerships
The workbench.
Included
Support agents
Customer-facing agents grounded in your knowledge base, resolving, escalating and logging every conversation.
How the work runs.
Scope the job
The workflow, data, tools and escalation rules the agent will operate within, written down first.
Ground
Retrieval and integrations built over your real data, with permissions scoped to the agent's role.
Guard & evaluate
Guardrails, human-approval gates and test suites that measure quality before and after every change.
Run & improve
Observability, feedback loops and a cadence of tuning, the agent compounds instead of drifting.
The kit
- OpenAI
- Anthropic
- RAG
- Vector search
- Tool calling
- Evaluations
Asked about ai agents.
The questions buyers raise before starting this kind of engagement, answered plainly.
A question we missed?Grounding is the defence: the agent answers from your documents and data with sources attached, and declines when confidence is low. Evaluation suites catch regressions before customers do, no system is perfect, but this one is accountable.
Agents run with least-privilege access to systems, sensitive actions require human approval, and every decision is logged and traceable. We treat an agent's credentials like an employee's, scoped, monitored, revocable.
The one that earns it. We evaluate options for your tasks and wire the abstraction so models can be swapped as the frontier moves, your product shouldn't marry a vendor.
A focused first workflow ships in weeks: scope, ground, guard, evaluate. It starts supervised, earns autonomy with evidence, and expands once the pattern proves itself.
AI Agent Development, frequently asked questions
Explore further.
Three robots, one conductor, zero chaos.
every note they play is grounded.
Doodles from the studio, drawn the way we build, by hand
Need ai agent development that ships?
Tell us the problem and the constraints. We'll come back with an approach, a staged plan and an honest number, within days.