What we examine
- Legacy application interfaces and integration dependencies
- Data access patterns, authorization, and failure handling
- Hosting, deployment, maintenance, and migration constraints
Engagement
AI Integration & Legacy Modernization
Connect AI to legacy applications through APIs, controlled data access, and workflows with approval and failure handling.
The starting point
Make existing systems AI-ready.
The most useful enterprise data often lives behind older applications and fragmented workflows. Connecting an agent directly to it can create uncontrolled access and brittle operations.
What we change
- Create governed API and data access boundaries
- Refactor integration points and modernize selected application layers
- Connect AI functionality with approval and exception handling
What you receive
- Integration and modernization plan
- Tested interfaces and workflow implementation
- Migration, recovery, and maintenance guidance
Defined scope. Clear boundaries.
Delivery depends on your systems, access, licensing, and agreed scope. Findings are not a certification of compliance, and a service description is not a guarantee of a particular outcome.
Before you start
Why modernize before connecting AI to legacy systems?
A direct connection may bypass validation, approvals, or access decisions enforced elsewhere in an application. Modernization establishes a deliberate interface for approved actions, with authorization and failure handling at the boundary. The scope can begin with one workflow; it does not require replacing every system.
What should be available for the first conversation?
Bring a general description of the systems, the decision you need to resolve, the current stage of work, and the owners who can agree on access and scope. Establish a secure exchange process before sharing detailed architecture or sensitive records.
What does a useful handover contain?
The agreed scope defines what will be delivered. For this engagement, the starting deliverables are:
- Integration and modernization plan
- Tested interfaces and workflow implementation
- Migration, recovery, and maintenance guidance
Verification evidence, operating responsibilities, and unresolved dependencies should be clear before the work is handed over.