Integrating AI agents with existing business APIs

Agents create value when they act on your systems — orders, tickets, inventory, identity. Those integrations are almost always custom. Universal “CRM connector” marketing rarely survives contact with real auth, tenancy, and error semantics.

What we assess before writing adapters

• Auth models — OAuth, service accounts, mTLS, signed requests
• Idempotency — what happens if the agent retries a write
• Compensating actions — how to undo or repair partial failure
• Rate limits — bursts from agent loops vs human traffic
• Audit requirements — who needs a record of each write
• Data boundaries — what the agent may read, redact, or never see

A practical integration sequence

1. Inventory the APIs that matter for the first agent outcome
2. Prove one read path and one write path in a sandbox
3. Encode errors the agent must handle (401, 409, 429, 5xx)
4. Wrap the API as a typed tool with clear input/output contracts
5. Put authorization in front of any irreversible write
6. Only then expand to adjacent systems

Skipping straight to “connect everything” is how prototypes stall.

Honest framing

HumanBee does not claim universal CRM/ERP plugins. We implement integrations against documented APIs and your environments. If a vendor API is incomplete or undocumented, we say so early.

HazelJS Skillgate can curate which APIs become agent capabilities — see Skillgate. That helps keep the agent’s tool surface intentional instead of a grab bag of every client in the monorepo.

Patterns that hold up in production

• Prefer explicit tool names over giant “doAnything” HTTP proxies
• Keep business validation in shared services when possible
• Log correlation IDs across agent run → tool → upstream API
• Separate “draft” writes from “commit” writes when the domain allows

When to bring HumanBee in

If your agent needs to call multiple systems with real identity and failure modes, talk through an integration scope. We scope contracts before we automate.