Expertise

Modernize software.
Put Claude to work.

AI Definitive helps organizations improve the systems and work they depend on. The work spans application modernization, document workflows and the engineering practices needed to operate Claude with confidence.

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Engineering connected to the work it supports.

01 / What AID delivers

Three areas of practical engineering.

The starting point is a specific operational problem: software that is difficult to change, information that takes too long to prepare, or engineering teams that need a controlled way to adopt AI.

Application
modernization

For organizations whose essential software has become difficult to maintain.

Explore application modernization

Understand the existing system before changing it.

AID uses Claude to support code analysis, documentation and development. Engineers validate the business rules, identify dependencies and compare the replacement with the original before recommending a release.

Work includes: Codebase assessment, business-rule mapping, test coverage, incremental migration and integration.
Delivery evidence: An agreed migration scope, tests of existing behavior and a record of approved differences.

Document &
knowledge workflows

For teams that prepare, reconcile or search business information by hand.

Explore document workflows

Prepare documents for informed review.

AID connects Claude to approved information sources and existing systems. Documents become structured records, cited summaries or draft work products, with unclear cases routed to a reviewer.

Work includes: Document intake, extraction, knowledge search, review queues and approved system updates.
Delivery evidence: Source references, representative test results, exception handling and a record of approvals.

AI enablement for
engineering teams

For teams adopting Claude Code within an existing delivery process.

Explore the delivery approach

Make AI-assisted development a repeatable engineering practice.

AID helps establish repository guidance, approved tool access, review rules and automated checks. Team enablement uses actual development tasks so that adoption connects to the way software is built and released.

Work includes: Claude Code configuration, project instructions, workflow integration, review standards and training.
Delivery evidence: Documented settings, review and test records, operating guidance and an internal owner.

A change request moves through engineering, review and checks before an approved release. — AI supports the work. Release authority stays with the client.

How AID works

Engineering stays close
to the business.

Forward-deployed engineers work with the process owner, technical team and reviewers throughout the engagement. The same business rules that shape the solution also shape the tests used to accept it.

Agree what success means before building.
Review a working solution against real requirements.
Keep code, configuration and operating guidance accessible to the client.

See the delivery process

02 / Ways to engage

A defined first step.

Nine engagements span five stages, from initial readiness to ongoing operation. These starting points help establish the next decision; scope, responsibilities and acceptance criteria are agreed before delivery.

Establish readiness

AI Readiness Check + Engineer Walkthrough

A free self-assessment across seven dimensions, with a readiness score and recommended next steps. An engineer-led review connects the results to current priorities.

Take the assessment

Pilot success guarantee