+8 M€
margin identified
Financial Services · Technology, Data & AI · Europe
Leading European Insurer
Turning portfolio data into margin levers.
Identify concrete, quantified margin levers, then set up the governance needed to activate them.
Expertise · 03
Technology, Data & AI
Technology creates value when it is governed as a business asset.
01Executive summary
Executive summary
CIOs are asked to accelerate while reducing technical debt and risk. Business leaders expect concrete uses of data and AI.
We bridge both expectations: architecture choices, data governance, use cases prioritised by value and steering of technology programmes.
02What we solve
The situations that bring us in.
- 01Information systems that no longer keep pace with the business
- 02Abundant but hardly usable data
- 03AI initiatives without governance or risk framework
- 04Technology programmes drifting on cost and schedule
03Where we create value
Six levers we work on.
- 01
IT master plan
- 02
Data governance
- 03
AI governance
- 04
Digital operating model
- 05
IT programme steering
- 06
Data & AI use cases
04How we work
ESA Execution Framework
Every engagement follows the same four phases, each with an expected decision.
01
Diagnose
Establish the facts
02
Design
Design the trajectory
03
Deliver
Execute and steer
04
Embed
Embed the value
Decision
Where to focus effort, and what we choose not to do.
Arbitrate target, sequencing and resources.
Trade-offs on priorities, risks and escalation.
Handover of accountabilities and target run model.
Deliverables
Fact base, issue map, value hypotheses.
Target operating model, roadmap, business case.
Transformation office, executive reporting, recovery plans.
Skills transfer, performance routines, dashboards.
01 · Diagnose
Establish the facts
- Decision
- Where to focus effort, and what we choose not to do.
- Deliverables
- Fact base, issue map, value hypotheses.
02 · Design
Design the trajectory
- Decision
- Arbitrate target, sequencing and resources.
- Deliverables
- Target operating model, roadmap, business case.
03 · Deliver
Execute and steer
- Decision
- Trade-offs on priorities, risks and escalation.
- Deliverables
- Transformation office, executive reporting, recovery plans.
04 · Embed
Embed the value
- Decision
- Handover of accountabilities and target run model.
- Deliverables
- Skills transfer, performance routines, dashboards.
05Selected client result
What it produces.
06Capabilities
The practice's capabilities.
- IT & Technology Levers
- Master plan, architecture, sourcing and application rationalisation.
- Innovation & Digital
- New services, digital products and scaling of experiments.
- Data & AI
- Data strategy, governance, quality and AI use-case deployment.
Main industries: Financial Services · Public Sector · Energy & Utilities · Consumer & Retail
07Insights
Further reading.
Executive Brief · AI governance
AI governance: decide before you deploy
Without a decision framework, AI initiatives multiply faster than the ability to control their risks.
· 5 min read
Article · Payments
Modernising payments without stopping the chain
Instant payments, ISO 20022, new platforms: the difficulty is not the target, it is the transition.
· 6 min read
Article · Data governance
Data governance: start with decisions
Effective governance starts from the decisions data must inform, not from a catalogue.
· 5 min read
An issue to discuss with our Technology, Data & AI practice?
A partner from the practice will respond directly.
Talk to a Partner
A member of our team will respond within one business day. contact@esa-alliance.com