Reporting that swallows the quarter
Solvency II, IFRS 17, and ORSA all want consistent, traceable, well-governed numbers. Most carriers still glue them together in spreadsheets the regulator would rather not see.
Trusted by Allianz and Marsh McLennan. AI-native engineering for life, P&C, reinsurance, and broking – underwriting AI, claims automation, and Solvency II / IFRS 17 reporting shipped to production by senior practitioners who understand the actuarial and regulatory terrain.
Trusted by Allianz, Marsh McLennan
Solvency II, IFRS 17, and ORSA all want consistent, traceable, well-governed numbers. Most carriers still glue them together in spreadsheets the regulator would rather not see.
Underwriters work across legacy policy admin, third-party data sources, and spreadsheet scoring models. AI can lift loss ratios – but only when the data plumbing supports it.
Manual triage, slow document handling, and inconsistent decisioning. AI-assisted claims is a clear win, provided the operational guardrails come with it.
Closed legacy platforms slow product launches and inflate maintenance. Modernisation is rarely a rip-and-replace – it’s a sequenced decomposition done without breaking the renewal cycle.
Reusable patterns drawn from our wider regulated-industry portfolio – sequenced against your underwriting and reporting cycle, not a generic delivery framework.
Augmented underwriting workbenches, third-party data ingestion, and explainable risk scoring – with the audit trails actuarial and compliance teams need.
Intelligent document handling, AI-assisted FNOL triage, and straight-through processing for low-complexity claims. Adjusters spend time where it pays back.
Automated, traceable reporting pipelines with model governance built in. Pairs with the Financial Services Regulatory Reporting accelerator.
Domain-decomposed migration off closed legacy platforms. Event-streamed policy lifecycles, API-first product factories, and AI-assisted code translation.
Modern broker portals, quote-and-bind APIs, and panel management for brokers, MGAs, and carriers – built for speed without trading away governance.
Actuarial-grade data platforms, lineage, and MLOps. Production models with the governance the regulator and internal model committee both expect.
Full case studies live in the case studies archive.
Common questions we get from senior technology leaders evaluating this work. Direct answers, no hedging. Open one to read in full.
An underwriting workbench. Policy data, third-party signals, a risk model the underwriter can actually interrogate. The model proposes a score with reasoning attached; the underwriter accepts, overrides, or explores alternatives. Loss ratios improve because the data is broader and the scoring is consistent. The judgement stays human.
As a software discipline. Automated, traceable pipelines ingest from policy admin, claims, and finance systems. Model governance and lineage are written into the architecture itself. Our Financial Services Regulatory Reporting accelerator gives a faster path to the first auditable submission, against the systems you already run.
Yes, if you draw the line carefully. Straight-through processing for low-complexity, low-risk claims where the AI can decide with high confidence. AI-assisted triage for everything else. Adjusters spend their time on what actually needs them – complex claims, fraud signals, customer escalations, anything the system flags as ambiguous. The system shows which decisions need inspection.
The renewal book is the constraint. Domain-decomposed migration gets sequenced around it: new event-streamed policy services run alongside the legacy system for a full renewal cycle before the old platform retires for that product line. AI-assisted code translation accelerates the refactor work. The cut-over plan protects the renewals – the part most carriers underestimate.
Yes. Distribution platforms, panel management, quote-and-bind APIs – the patterns apply across the chain with different emphasis at each link. Brokers want quote turnaround and panel breadth. MGAs want delegated authority workflows that hold up under audit. Carriers want pricing discipline and capital efficiency. Senior practitioners on each engagement cover the right end of the chain.
Send us a brief and we’ll come back within one working day with a senior insurance practitioner – and a clear sense of how to start.