Who we help
Data and AI for banks and insurers
We help banks and insurers build numbers their board and regulators can rely on, governance that works in practice, and AI that can move beyond the pilot. Our leads bring senior experience from different organisations, including enterprise data leadership in regulated industries.
A senior lead replies within one business day. No obligation.
Common data and AI challenges in banking and insurance
“Finance, risk and the business each have their own numbers.”
“Our AI pilots never reach production.”
“Regulatory reports take too long and still need manual fixes.”
“Only one or two people really know where the data is.”
“Our policy, claims and financial reporting data don't always agree.”
Where to start
- Numbers nobody trustsConsistent definitions, clear ownership and controls for your priority figures. Often preceded by a Readiness Assessment.Data Governance Implementation
- Starting with AIFind the use cases worth funding, and check the data can support them.AI Use-Case Discovery & Prioritisation
- AI pilots stuckMove one use case towards production through four gated phases, starting with the data.AI Pilot-to-Production
- No senior data leaderSenior data leadership, part-time, within an agreed mandate.Fractional CDO
How we work with banks and insurers
- Your security and data-residency requirements come first. Engagements are designed around your approved access, hosting and security arrangements, including on-premise environments where required.
- Controls, not documents. Governance is judged by accountability, adopted processes and controls that can be traced and audited.
- Alongside your IT team and vendors. We work with the teams and providers you already have, and we have no platform to sell.
- One result at a time. Start with one figure, one use case or one assessment. A senior lead, specialists and delivery partners are brought in as the scope requires.
- Clear about regulation. We help establish definitions, ownership and traceability for priority regulatory reporting data, within the agreed scope. Regulatory compliance and approval remain the institution's responsibility.
Who you'll work with
DataOfis is led by senior practitioners across five disciplines: data management and governance; architecture; engineering; DevOps and platform operations; and AI, machine learning and advanced analytics. Our leads bring senior experience from different organisations, including enterprise data leadership in regulated industries.
We also work with a network of senior specialists, including AI and machine learning specialists, and with delivery partners, under DataOfis design and oversight. You talk with a senior lead from the first conversation.
- Data management and governance
- Architecture
- Engineering
- DevOps and platform operations
- AI, machine learning and advanced analytics
Start with one concrete problem
Tell us which data, governance or AI challenge matters most. We'll help identify a practical starting point.
A senior lead replies within one business day. No obligation.
Start with the numbers: Data Governance Implementation