Integration design

Legacy-to-AI Integration Architecture

Connect new capabilities to the systems you depend on.

Design a credible bridge between legacy systems and AI-enabled capabilities, with explicit data access, integration and operational boundaries.

What you receive

The result of this engagement.

  1. A bridge architecture and integration option rationale.
  2. Data-flow, access and interface designs with operating constraints.
  3. A transition and implementation handoff for the agreed scope.

When this helps

Recognize the situation.

  • AI features need access to legacy business data or functions.
  • A complete core rewrite is neither justified nor feasible.
  • Teams need a design across APIs, events, documents and retrieval pipelines.

How the work unfolds

Evidence appropriate to the question.

01

Understand the constraints

Establish source systems, business semantics, access restrictions and operating requirements.

02

Design the bridge

Compare abstraction, API, event/CDC, retrieval and document-ingestion approaches where relevant.

03

Prepare the transition

Specify boundaries, failure handling, ownership and the sequence needed for implementation.

Scope & responsibility

Agree the depth. Keep the boundaries clear.

Scope of the engagement

The design is tailored to the legacy estate and intended AI capability. Relevant source-system, data and security expertise is agreed for the engagement.

Appropriate reliance

Sparkling does not implement pipelines or operate the resulting platform. A bridge does not remove the need to validate data meaning, permissions and source-system limits.

One accountable principal. The named architect directs the work and owns the integrated recommendation. Relevant specialists contribute where agreed. Client and partner teams implement and operate; clients retain final business and acceptance decisions.

The agreed engagement sets the coverage, deliverables, responsibilities, timing and fees. Changes to that scope are agreed explicitly.

Practical questions

Before engaging us.

Does this assume retrieval-augmented generation is the answer?

No. The integration approach follows the use case, data semantics, operating constraints and alternatives.

What is the decision you need to make?

Share the situation and the intended commitment. We will establish whether this scope fits.

Discuss your situation