Digital transformation for insurers and MGAs, without starting from scratch.
Insurers and MGAs are under pressure to modernise, but legacy core systems are costly to replace and every change carries regulatory risk. We focus on the operational work that slows the business down day to day, and apply the right technology or AI only where it genuinely earns its place.
Transformation is never just about the AI tools.
In insurance, the tools are the easy part. Our framework guides transformation across four areas that have to work together, and we support all four.
AI tools and capabilities
The models, extraction and decision tools themselves. Necessary, but the smallest part of the work.
We select and build the right tools for each process, and prove them on your real cases before anything scales.
Technology foundation
Data quality, connectivity between systems, and IT infrastructure that is scalable and secure, especially for large corporates.
We assess your data and systems, then design integrations that work with what you already have rather than replacing it.
Business leadership
Leaders who understand what is possible, then connect that possibility back to real business priorities.
We work alongside your leaders to shape a roadmap tied to measurable business priorities, not technology for its own sake.
Change management & culture
Transformation treated as change, not installation. Stakeholders, the workforce and decision makers all need to be part of driving it.
We manage stakeholders from the first prototype and involve your teams early, so adoption is built in rather than bolted on at the end.
All four turn together. If one is missing, transformation stalls.
The problem is rarely one system. It is the work between systems.
Many insurers and MGAs already have core platforms, portals, policy systems, claims systems and reporting tools. The friction often sits between them: emails, documents, spreadsheets, exceptions, approvals and manual handovers. That is where AIREKA focuses.
Underwriting intake
Structure submissions, documents and risk information before they reach the decision stage.
Claims triage
Read inbound evidence, classify urgency, extract key details and route work to the right team.
Broker communication
Turn broker messages and document packs into clearer actions, status and follow-up.
AI and transformation work that can be tested quickly.
Workflow discovery
Map where work enters, where it slows down, and where better structure would create value.
Process redesign
Re-engineer the process itself before automating it, so technology is applied to a process worth keeping.
AI document interpretation
Extract, classify and structure information from PDFs, emails, forms, spreadsheets and messages.
Operational prototypes
Build working prototypes around real processes before committing to larger change.
Adoption design
Shape the people, process and control model needed to move from prototype to live use.
Integration planning
Design how the solution should sit around existing systems rather than replacing them.
The same capability extends to customer-facing e-commerce. BEEP-ai, our Labs prototype, shows a full quote-and-buy insurance journey built this way, end to end.
What digital transformation should actually deliver.
Every engagement is measured against outcomes the business can see, not technology milestones.
A leaner, faster operation
Customers who stay and recommend
Clarity and confident decisions
Start small, prove value, then scale carefully.
Review one process
We choose one area where manual work, documents or handovers are slowing things down.
Build a working proof
We build a prototype around real examples, not abstract slides.
Test with the team
We check whether it improves speed, clarity, control and user experience.
Shape the delivery path
We define what is needed for adoption, governance, integration and scale.