01 · ENGINEERING & DELIVERY
Applied AI engineering
Modernize legacy applications, integrate Claude with business systems, and develop AI workflows with evaluation and human review.
Enterprise AI services
Applied AI engineering. Built on Claude.
Claude implementation for enterprise software and operations. Application modernization, system integration, and AI adoption—with governance built into delivery.
Take the readiness assessment
Industry focus
Regulated organizations
Core capabilities
Implementation.
Integration. Adoption.
Technical delivery and organizational readiness, designed together. Each engagement connects a defined business need to working software, clear controls, and operational ownership.
02 · ENABLEMENT & ADOPTION
AI enablement engineering
Establish approved access, role-specific workflows, and practical training. Build internal capability through reusable playbooks and quality standards.
Use cases
AI applied to
business operations.
Focused implementation paths, defined review controls, and measurable objectives.
Modernization workstreamBUSINESS RULES → WORKING SOFTWARE
EXISTING APPLICATION
Business logic
Data & integrations
Operating behavior
Rules that matter
Payment terms
Approval paths
Exception handling
Review with business owner
Tested
replacement
Working code
Behavior checks
Operating notes
Preserve business rules.
Modernize the application.
Map legacy code and dependencies with Claude. Validate business rules with domain experts, then migrate and test a defined application boundary.
Delivery objective
Maintainable software with documented business rules and verified behavior.Success measures: change lead time, regression coverage, and approved behavior changes.
Claims correspondenceINTAKE → REVIEW → RECORD
INCOMING DOCUMENTS
Match & prepare
Identify claim
Extract required fields
Flag uncertainty
Human review before update
Connected
claim record
Source document
Reviewed fields
Decision history
Claims correspondence,
prepared for review.
Connect incoming correspondence to a custom claims system. Match documents, extract required fields, and route uncertain results for human review.
Delivery objective
Reduced manual handling, with source traceability and review before record updates.Success measures: handling time, extraction accuracy, wrong-file matches, and review workload.
Working methods with clear ownershipACCESS → PRACTICE → OWNERSHIP
1Approved sources & access
2Reusable task instructions
3Review & verification
4A named internal owner
Repeatable workflows.
Consistent review.
Develop role-specific methods for policy briefings, document comparison, and other recurring tasks. Pair practical training with verification standards.
Delivery objective
Repeatable use of Claude, supported by internal owners and documented quality checks.Success measures: completion time, reviewer rework, and sustained use on agreed tasks.
Forward-deployed engineering
Embedded expertise.
Accountable delivery.
Engineers work alongside domain experts and technical owners from assessment through release. Defined scope, regular reviews, and documented handover establish a clear path to operation.
Assess
& scope
- Business requirements
- System constraints
- Success measures
Build
& validate
- Working increments
- Evaluation and review
- Release criteria
Transfer
& support
- Code and runbooks
- Operational walkthrough
- Named maintainers
Project consultation
Define the next
implementation.
Review the business requirements, system landscape, and delivery priorities. Establish the scope for a focused Claude engagement.
Book a consultation