The clients are anonymised. The work and outcomes are real.

Case Study 1: Delivering a £6m+ transformation without disrupting frontline services

Client: Anonymised UK housing provider

Challenge: Replace ageing core systems, migrate critical data and meet a fixed regulatory deadline without disrupting resident services

Work: Enterprise programme leadership, integrated planning, governance, migration readiness and executive reporting

Outcome: More than 10,000 records migrated with no frontline disruption; property-compliance deadline met; reported productivity increased by approximately 35% and decision latency fell by approximately 25%

EVIDENCE

Case Study 2: Restoring momentum in a regulated HealthTech programme

Client: Anonymised regulated HealthTech business

Challenge: Restore momentum and confidence in an AI-enabled product programme without weakening quality, evidence or compliance

Work: Programme recovery, governance reset, integrated planning, quality gates and cross-functional leadership

Outcome: Iteration cycles became approximately 40% faster while compliance and quality expectations were maintained

Case Study 4: When every priority needed the same person

Case Study 3: Replacing firefighting with organisational control

Client: Anonymised portfolio-owned aviation software business

Challenge: Several critical workstreams depended on the same specialist, while routine priority conflicts kept pulling the CTO into day-to-day operations

Work: Portfolio review, prioritisation model, readiness standards, capacity planning and leadership workshops

Outcome: Clearer trade-offs, more credible commitments and more space for the CTO to focus on technical direction

Client: Anonymised portfolio-owned enterprise software company

Challenge: Persistent delivery volatility, unclear authority and too much dependence on experienced people rescuing work late in the process

Work: 360-degree delivery review, operating-model redesign, decision rights, readiness controls and executive reporting

Outcome: Stronger controls, clearer responsibilities and a more dependable view of progress and execution risk