01
Discovery
We define the job, allowed tools, stop conditions, and escalation paths. Anything that spends money or emails customers starts gated.
Service
AI Agents
Agents here are constrained workers: they plan steps, call approved tools, and stop for review when the risk crosses a threshold you define.
Problems this work usually addresses
- Multi-step busywork spans email, CRM, and internal tickets
- Open-ended agents take irreversible actions
- Nobody can explain why an agent did what it did
Who benefits most
Product and ops teams that need multi-step assistance with an explicit tool allowlist and an audit trail.
Typical outcomes
- Automate multi-step tasks with tool use
- Keep humans in the loop where risk is high
- Instrument agent behavior for debugging
Technical approach
02
Design & architecture
Agent graphs or state machines keep plans inspectable. Tool schemas are strict. Memory is intentional, not infinite.
03
Build, test, and handoff
We test failure modes—missing data, tool timeouts, contradictory instructions—before widening autonomy.
Architecture considerations
A planner proposes steps; an executor calls typed tools; a supervisor records state. High-impact tools require confirmation. Transcripts are stored for review.
Security
Tool credentials are scoped. Agents cannot invent new tools at runtime. Customer-facing sends require approval until confidence is proven.
Scaling
Concurrency is capped. Long-running work moves to queues. We measure success by completed jobs and override rates, not by how ‘autonomous’ the agent looks.
Technology stack
TypeScript agentsTool APIsDurable job stateLLM providersAdmin consoles
Common challenges
- • Prompt injection through untrusted documents
- • Tool loops that burn budget
- • Operators needing a kill switch
Frequently asked questions
How autonomous should the first agent be?
Conservative. Draft, classify, and prepare—then wait for a human on anything irreversible. Autonomy widens after override patterns are boring.
Related reading
Related services
AI Automation
Agent-assisted operations and workflow automation that remove repetitive work without creating black-box risk.
LLM Applications
Retrieval-augmented apps, assistants, and internal copilots grounded in your documents, systems, and permissions.
Workflow Automation
Structured workflow systems that connect people, tools, and approvals across the business.
Relevant projects
Have a multi-step workflow ready for a constrained agent?
Share the steps, tools, and where a human must stay in control.
Design an agent workflow