Custom AI Agents
Software agents that carry out repetitive work across your existing tools, with approval steps wherever you want a person in the loop.
Agents at Work
We build task-focused AI agents that take real work off your team: handling requests, moving data between systems, and running multi-step workflows with tool use, guardrails, and human oversight where it matters.
An agent only matters if it can act safely on your real systems. Ours do, with the oversight you control.

What we build
Agents that act, not just chat. Integrated into your stack, with oversight you trust.
Task agents
Agents scoped to real jobs: triage, lookups, data entry, follow-ups.
Tool & API use
Agents that call your systems and APIs to actually get work done.
Orchestration
Multi-step, multi-agent workflows with reliable hand-offs.
Guardrails
Constraints, approvals, and safe-by-default behavior.
Human-in-the-loop
People stay in control wherever judgment is needed.
Audit & logs
Every action traceable and reviewable.
What you get
Hours of repetitive work handled automatically, every day.
Agents that act across your tools, not a chatbot that just talks.
Oversight, approvals, and logs so you always stay in control.
Work that scales without adding headcount.
How we work
- 01
Discovery & scope
We map goals, constraints, and success metrics, then scope precisely. No surprises later.
- 02
Architecture & design
We design the system and the interface together: the plan you sign off before we build.
- 03
Build & integrate
We engineer in typed, tested increments, integrating with your stack as we go.
- 04
Launch & QA
We ship with performance, accessibility, and QA checks, plus a clean handover.
- 05
Measure & iterate
We instrument, watch the numbers, and keep improving against your goals.
Where this fits
- Teams buried in repetitive, rules-based tasks.
- Operations spread across many tools that need to talk to each other.
- Companies that want automation with accountability.
What's inside
Common questions
Can agents act on real systems safely?
Yes, with scoped permissions, approval steps, and full audit logs. Humans stay in the loop wherever it matters.
What can an agent actually do?
Anything we can give it a tool for: read and write to your systems, call APIs, and run multi-step workflows.
How do we oversee them?
Through dashboards, logs, and approval gates, so you see and control exactly what they do.

Ready to start?
Let's build something exact. Reach out and we'll map the path forward.
Start a project→