Agents for your most accountable functions.
AI agents are the shift from analytics-that-inform to systems-that-act. We build them where the stakes are real — project, risk, compliance — and we engineer them like infrastructure, not like demos.
For a decade we built analytics that informs decisions. The next decade belongs to systems that make them.
The era of "we built a dashboard, now waiting for someone to look at it" is over. Modern enterprises need decisions executed continuously, at the operational tempo of the business.
Foundation models made the tooling viable. The hard part now is engineering — choosing the right scope, the right guardrails, the right eval, the right human checkpoints. That's our craft.
We've shipped decision systems for over a decade. Agents are the same problem at a new abstraction. The platforms that worked before still apply: clarity of objective, rigour of measurement, discipline of deployment.
Where we ship agents
that actually run.
How we deliver.
Discovery
Two-week sprint to map the workflow, the data sources, the success criteria, and the guardrails.
Pilot
A working agent against real data in 4–6 weeks. Eval harness defined. Stakeholders piloting alongside production.
Production
Hardening, monitoring, escalation paths, and human-in-the-loop wiring. Deployed where it lives — your stack, your VPC.
Operate
Ongoing eval drift detection, prompt and tool refinement, and capability expansion as the role grows.
Agents in production
need infrastructure-grade care.
Human-in-the-loop by default
Every consequential action waits for a human approval until calibration is proven. Then graduates section by section.
Full audit trail
Every prompt, tool call, retrieval, and decision is logged. Immutable, exportable, auditor-ready.
Tool-level guardrails
Allowlist what agents can read, write, and execute. Scope tightening, rate limiting, anomaly checks at every boundary.
Eval-first
No agent ships without an eval harness — accuracy, latency, cost, fairness — and we ship the harness with the agent.
Data residency
On-prem, your VPC, or our managed cloud. Models on-host where required. Nothing leaves your perimeter.
Model-agnostic
Claude, GPT, Gemini, open-source — we pick per workload and per cost envelope, not per vendor allegiance.
Have a workflow that's begging
for an agent? Let's scope it.
A 30-minute discovery is enough to tell whether your use case is a 4-week pilot or a 12-week build.