Wire agents into your systems, safely
AI agent integration services — connect AI agents to your enterprise systems, APIs, identity and data with typed tools, allow-listed actions, human approvals and full step-level observability.
Quick answerAI agent integration connects an AI agent to the systems it needs to act on — CRMs, ERPs, ticketing, data warehouses, internal APIs and SaaS tools — through secure, well-typed tools, with identity and permissioning, action allow-lists, approvals for high-impact steps, and step-level tracing. It is scoped specifically to agent-to-system connectivity, distinct from our general AI Integration service.
How an agent acts without becoming a risk
Allow-listed, schema-validated actions
The agent can only do what is explicitly enumerated, with strict input validation.
Least-privilege credentials
Scoped service accounts, per-action authorisation through your identity provider.
Human-in-the-loop
Approval gates for anything that changes data, money or systems.
Limits everywhere
Rate limits, spend caps, and scope boundaries the agent cannot exceed.
Sandboxing
Risky operations run in isolation with no path to production side effects.
Kill switch & rollback
Stop the agent instantly and reverse recent actions where possible.
Which integration service fits?
| You need to… | Agent Integration (this page) | AI Integration Services |
|---|---|---|
| Let an autonomous agent take actions | Yes | — |
| Enforce allow-lists and approvals for actions | Yes | — |
| Connect a model or app to enterprise data | — | Yes |
| Build a reusable retrieval / connector layer | — | Yes |
| Both, on one program | Common | Common |
A path to governed agent actions
Enumerate
List every action the agent may take and its risk level.
Build tools
Typed connectors through your API gateway, scoped and validated.
Gate
Approvals, limits and sandboxing wired to action risk.
Trace
Step-level logging for debugging and audit.
Pilot
Low-risk actions first; widen as the intervention rate falls.
Integration that governs agents like any other system
Works with your gateway & IdP
We integrate through existing infrastructure, not around it.
Governed by default
Agent activity is audited and rate-limited like any integration.
MCP where it fits
Model Context Protocol or typed connectors, chosen for maintainability.
Full observability
Every tool call and decision is traced and queryable.
Platforms behind the team
RLCatalyst and Spectra accelerate build and run.
Maintainable tool layer
A clean, auditable set of connectors your team can extend.
- AWS
- DataStax
- Salesforce
- Snowflake
Need the agent built too?
Agentic AI Development Services design the reasoning loop, orchestration and evaluation that sit above the tool layer.
Agent integration insights
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Content last reviewed: September 2026
Scaling this across the enterprise?
Our Enterprise AI Services practice brings generative AI, agents and LLMs to production at scale — with the governance, platform and operating model to keep them reliable, compliant and cost-controlled.
Have an agent that needs to act in your systems?
Tell us the actions and systems and we will design a safe, auditable tool layer.
Talk to an AI specialist
Tell us where you are on your AI journey — a use case, a proof of concept, or a platform decision — and an AI consultant will come back with next steps and a rough shape for the engagement.