Consulting · AI agents · AI Agents
Turn your internal APIs into a single conversation
Your team already has the systems. We build the AI agents that compose them — querying your TMS, updating your CRM, posting to accounting, and answering questions across all of it without anyone touching seven tabs.
Moves: Manual handoffs eliminated
What we deliver
Custom REST API agent
An agent with structured tool definitions for each endpoint you want it to use. Authenticates, calls, parses, and presents results in plain language.
Multi-step workflows
Chained operations: "If a shipment is delayed > 24h, post a CRM note, email the customer, and create an exception ticket." The agent owns the orchestration.
Permission-aware execution
The agent respects role-based access. Read-only users can only ask questions; ops managers can trigger writes. Audit log on every action.
Conversational surface
Slack, Teams, your CRM, or a hosted chat — whichever your team will actually open. No new app to learn.
How the engagement runs
- 1
Week 1
API & workflow inventory
Catalog the APIs in scope, the auth models, the workflows worth automating, and which ones are too sensitive to fully automate.
- 2
Week 2-3
Tool surface build
Write the structured tool definitions, the auth layer, and the safety rails. Each endpoint tested in isolation before the agent gets it.
- 3
Week 4-5
Agent reasoning + UX
Build the agent's prompt scaffolding, the conversational surface, and the audit logging. Pilot with a small group internally.
- 4
Week 6+
Rollout & expansion
Expand to more teams. Each new API endpoint becomes a tool you can add to the agent in days, not weeks.
Tech we build on
LLM
Common integrations
Auth & safety
Who this is for
- Operations teams losing hours per day to swivel-chair workflows.
- CIOs who built clean APIs and want a unified front-door for them.
- Customer service organizations where answering a single question requires checking three systems.
- Anyone whose "we should automate that" backlog is longer than their automation team.
FAQ
How is this different from Zapier or Make?
Zapier triggers fire on fixed conditions. An agent reasons. "Find any customers whose shipments have been delayed and might churn" is an agent question; "when a shipment is delayed, send an email" is a Zapier trigger. They complement each other — we often build agents that call Zapier-managed automations.
What about systems with no API?
We push hard for an API-first approach because it's safer and more maintainable. For legacy systems, we can use browser automation as a bridge, but we treat it as technical debt to retire.
How do you keep the agent from doing something destructive?
Every write operation is gated by role-based permissions and bounded by a safety policy in the prompt. High-impact actions (refunds, cancellations, mass-updates) require explicit human confirmation. Everything is logged.
Can the rating-system agent and the REST API agent be the same agent?
Usually yes, once both are mature. We typically launch them as separate agents to keep the initial deployments simple, then merge into a single "ops copilot" once each surface is proven.
Talk to us about ai agents for rest api endpoints
30 minutes is usually enough to know whether this is a fit.
Book a consultation