An application may depend on business logic spread across code, databases, scheduled processing and external services. Before changing or replacing it, teams need a reliable description of those dependencies, the behaviour that must be preserved and the areas requiring further investigation.
Application and estate intelligence
Analyse applications and their relationships to identify components, dependencies, interfaces, business behaviour and areas of uncertainty. Use the resulting information to prioritise where deeper investigation or change is needed.
Recovered documentation and specifications
Develop structured documentation and specifications from available application evidence. Make important findings traceable to their source, so architects, engineers and business owners can review them rather than accepting generated descriptions uncritically.
Modernisation planning
Assess candidate changes, technical constraints, sequencing and risks. Distinguish what the existing application demonstrates from assumptions about a proposed target architecture or delivery approach.
Technology and lifecycle risk
Investigate relevant dependencies, versions, deprecations and vulnerabilities in context. Identify which findings warrant confirmation and remediation planning rather than treating an automated alert as a complete risk assessment.
AI-assisted software engineering
Use governed AI-assisted analysis to examine complex codebases and produce reviewable outputs. Human reviewers remain responsible for accepting specifications, architecture choices and changes to operational systems.
Specialist consultancy and delivery partnerships
Work directly with public-sector organisations or alongside established delivery partners on discovery, technical assessment, application modernisation and related engineering decisions.