Deep Enterprise Integrations

Data strictly stays under enterprise control, and exclusively approved workflow actions can write back through secure APIs.

+ Custom APIs

Connect without surrendering control

An integration architecture for agents that work across the enterprise

Agents create value when they can use trusted knowledge and perform actions in systems of record. The integration challenge is to make those capabilities discoverable and useful while keeping credentials, schemas, policy and transaction boundaries under enterprise control.

Four integration layers leaders should separate

01

Knowledge layer

Search approved policies, cases, documents and structured records with source identity and freshness.

02

Tool layer

Expose narrow business actions—such as create case or draft report—instead of raw system access.

03

Orchestration layer

Coordinate steps, state, retries, approvals and hand-offs across multiple systems.

04

Control layer

Apply identity, policy, secrets, logging, budgets and environment restrictions consistently.

05

Experience layer

Deliver work through the channels employees already use while preserving the same controls.

06

Operations layer

Observe latency, failures, cost, quality and downstream business outcomes end to end.

The controlled path from request to system of record

  1. 01

    Intent

    Translate the business request into a bounded task.

  2. 02

    Context

    Retrieve only the approved, relevant records.

  3. 03

    Tool contract

    Choose an allow-listed API, MCP tool or enterprise skill.

  4. 04

    Policy

    Check identity, purpose, data class and transaction limit.

  5. 05

    Commit

    Execute or pause for approval before changing system state.

  6. 06

    Reconcile

    Verify the system outcome and write evidence to the audit trail.

Choose the right connection pattern

PatternBest forLeadership consideration
Read-only retrievalPolicies, knowledge and case contextFreshness, source permissions and citation quality
Controlled APIStable, high-volume business transactionsSchema ownership, idempotency and service levels
MCP or tool gatewayReusable tools across agents and modelsCentral catalogue, authentication and policy enforcement
Browser or computer useLegacy systems without suitable APIsIsolation, visual change risk and approval requirements
Event triggerScheduled or system-initiated workflowsDuplicate handling, ownership and failure queues

Architecture decisions to make early

  1. 01

    Which systems remain the authoritative source after an agent acts?

  2. 02

    Will credentials belong to the user, the workflow or a managed service identity?

  3. 03

    How will the agent prove a write succeeded rather than trusting a screen message?

  4. 04

    Where are schemas, tool descriptions and approval policies versioned?

  5. 05

    What happens when a connected system is slow, unavailable or returns conflicting data?

Good agent integration does not connect everything to everything. It exposes the smallest useful capabilities through stable contracts, then verifies every meaningful state change.