Agentic workflows
Agents given real responsibilities — with the leases, approvals, escalation and audit trails that make that responsible rather than reckless.
For teams that need agents operating inside a controlled workflow, not improvising in a chat window.
Case studies behind this
An agent-operated task engine
AI agents needed to work from the same queue as humans without double-claiming tasks or hiding failures.
Drizzle · Postgres LISTEN/NOTIFY · SSE · contract-first APIMulti-tenant SaaS with isolation enforced on every query
A single missing tenant filter can expose one customer's data to another in a multi-tenant SaaS platform.
tRPC · Prisma · Postgres · Next.jsReal-time mirror trading against an on-chain order book
Near-real-time trade mirroring had to detect source trades quickly without replaying the same transaction or accepting bad fills.
Python · Web3 RPC · on-chain CLOB
Questions worth asking first
What state should the agent own, and what must stay human-owned?
Where do approvals, escalation and audit trails belong?
How should autonomy shrink when the system becomes uncertain?
Related services
AI agent workflow design
Start here when the team wants agents, but nobody has decided what happens when one fails at 2am.
Open serviceInternal tools automation
Start here when operators need a real tool — with permissions, audit trails and half-done states — not another spreadsheet and a pile of scripts.
Open service