01
Faster decisions without weaker reasoning
Surface evidence, assumptions and referral rules so automation accelerates work rather than hiding judgment.
Industry / IN
Turning insurance operations into an accountable decision system.
Insurance value chains carry long-lived products, fragmented evidence and decisions that must remain defensible long after they were made.
Operating context
Technology has to fit the institution around it.
Insurance value chains carry long-lived products, fragmented evidence and decisions that must remain defensible long after they were made.
Modernisation succeeds when underwriting, claims, servicing and distribution share governed data without collapsing distinct accountabilities into one opaque model.
Operating agenda
Priorities that shape the architecture.
We translate operating risk and commercial objectives into explicit system boundaries, evidence and decision ownership.
02
Claims operations built around the customer event
Coordinate intake, evidence, coverage, fraud review, reserving and communication as one observable workflow.
03
A reusable product and data foundation
Separate product rules and domain data from channel code so new propositions do not require another parallel stack.
Engineering contribution
Where Root Digit contributes.
Each engagement is scoped around a real operating decision, a controlled technical boundary and evidence that leadership can review.
IN.1
Underwriting workbenches
Decision support combining submission data, rules, model outputs and referrals.
- Submission intake and enrichment
- Rules and risk scoring
- Referral and approval workflows
IN.2
Claims orchestration
Event-driven workflows spanning first notice, evidence, coverage and settlement.
- Digital intake
- Document and image processing
- Exception and settlement workflows
IN.3
Fraud and leakage analytics
Network, anomaly and behavioural signals routed into governed investigation queues.
- Signal fusion
- Investigation prioritisation
- Outcome feedback loops
IN.4
Policy and servicing platforms
API-led products and customer operations around a consistent policy record.
- Product configuration
- Policy lifecycle services
- Broker and customer portals
Control plane
Controls designed with the system.
Assurance is part of the architecture and operating model—not a review added after delivery.
01
Explainability
Material recommendations retain the evidence, rule and model version that produced them.
02
Fairness review
Protected attributes, proxies and outcome distributions are governed across the model lifecycle.
03
Data minimisation
Collection and retention are tied to a defined decision or service purpose.
04
Human escalation
Low-confidence, exceptional and consequential cases move to named decision owners.
Practical entry points
Start with one decision that matters.
01
Digitise one claims journey
Start where evidence hand-offs and status uncertainty create avoidable operating friction.
02
Build an underwriting evidence layer
Unify submission data and model outputs before changing the core policy platform.
03
Measure one fraud workflow
Connect detection quality to investigation capacity, customer friction and realised outcomes.
Continue exploring
Related capabilities and evidence.
Industry conversation