AI Enablement and operating model transformation across regulated industries
From flagship AI Enablement engagements — with dedicated sector practices for banking, insurance, asset management, wealth, capital markets, payments, healthcare, life sciences, energy, and public sector — to focused operating model, risk, and process work. Senior practitioners delivering audit-defensible outcomes inside FTSE 100 banks and adjacent regulated institutions.
AI Enablement
Operating model redesign for AI-native organisations
Solves:
- Pilots that never compound into structural change
- Data captured for reporting, unusable for action
- AI-native challengers eroding your market position
AI Readiness & Implementation
Data readiness, governance & pilot implementation
Solves:
- Unsure where to start with AI
- Data quality concerns
- Lack of AI governance policies
Process Mapping & Documentation
BPMN 2.0 process flows & operational documentation
Solves:
- Undocumented processes in people's heads
- Failed audit findings due to documentation gaps
- High operational error rates
Target Operating Model Design
Future-state TOM with implementation roadmap
Solves:
- Broken handoffs between teams
- Unclear ownership and accountability
- Inefficient organizational structure
Risk & Control Assessment
Risk heatmaps, control libraries & audit readiness
Solves:
- Weak control environment
- Repeat audit findings
- Regulatory scrutiny
Business Analysis Services
BRDs, FRDs, requirements traceability & UAT
Solves:
- Unclear requirements leading to rework
- Failed UAT and production defects
- Budget overruns and delays
Regulatory Compliance
Compliance programmes & regulatory change
Solves:
- Regulatory breaches and findings
- Missing data lineage documentation
- Long remediation cycles
Change Management
Change impact, stakeholder engagement & adoption
Solves:
- Low user adoption of new systems
- Change resistance
- Programme delays
Systems Implementation
Financial systems implementation support
Solves:
- Delayed go-lives
- High post-launch incident volumes
- Poor data migration
Workflow Automation
Operational automation & zero-touch processing
Solves:
- Manual, error-prone workflows
- Long processing cycles
- High headcount costs
Engagement models
From a focused diagnostic through to multi-year transformation programmes — we structure engagements around your operating model maturity, executive sponsorship, and the binding constraints we identify in the first few weeks.
Discovery & Assessment
Duration: 2-3 weeks
Organizations needing diagnosis
Core Deliverables:
- Current state assessment
- Gap analysis & recommendations
- Prioritized roadmap with quick wins
Implementation Programme
Duration: 8-16 weeks
Organizations ready to transform
Core Deliverables:
- Complete documentation deliverables
- Hands-on implementation support
- Team training & capability building
Retained Advisory
Duration: 6-12 months
Organizations scaling programmes
Core Deliverables:
- Ongoing strategic guidance
- Monthly governance & reporting
- Continuous improvement support
Not sure which practice area fits?
Start with an executive working session — 90 minutes, no deck, no pitch. We use the time to understand your operating model, your AI ambition, the binding constraints, and which engagement is the right one to start with.
Book a working session90 minutes · Senior practitioners only · No obligation