AI application
Establish trusted inputs, ownership, and clear access boundaries.
TECHNOLOGY / AGENTIC AI
MCP & agent interoperability
Connect AI applications to tools through structured interfaces.
ARCHITECTURE GUIDE / 07HOW THE TECHNOLOGY CONNECTS
REFERENCE DESIGN01AI application
02Tool discovery
03Authorized adapter
04Enterprise API
05Validated result
CONTROL PLANEIdentity · governance · observability
THE PRACTICAL VIEW
Understand the pattern.
Then choose the tools.
Multiple AI applications need consistent access to enterprise tools.
Tool discovery, typed requests, delegated access, protocol adapters, and service boundaries. The right design depends on data characteristics, operating constraints, risk, and the people who will maintain it.
Expose narrowly scoped tools; authenticate callers; validate inputs; log actions; enforce service permissions.
ARCHITECTURE RESPONSIBILITIES
Tool discovery
Make this responsibility explicit, observable, and independently testable within the overall workflow.
Authorized adapter
Make this responsibility explicit, observable, and independently testable within the overall workflow.
Enterprise API
Make this responsibility explicit, observable, and independently testable within the overall workflow.
Validated result
Define acceptance checks and ownership of the resulting information or action.
TECHNOLOGY OPTIONS
Architecture first.
Tools with a purpose.
Model Context Protocol, API gateways, OAuth-based access
Examples describe architectural options, not Travinto partnerships, certifications, or confirmed integrations.
Fit
Does the pattern solve a specific workflow problem?
Trust
Can access, quality, and source evidence be verified?
Operate
Can the team observe, recover, and manage the system?
Value
Can usefulness and cost be evaluated against a baseline?
Where this pattern
can come into focus.
START WITH YOUR CONTEXT
Make the next step
a practical one.
Explore the opportunity, assess your current landscape, and agree a focused scope with clear success criteria.
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