Useful work, inside dependable controls.
Document intelligence, approved knowledge, exception triage and decision support. Each one wired into your permissions, your audit trail and a person who can overrule it.
Explore applied AIWe engineer policy, claims, collections and reporting platforms for insurance, lending and complex operations.
Custom software. Connected systems. Applied AI.
Products, rules, integrations and exceptions. We turn the moving parts of your operation into systems with clear boundaries, dependable data and room to evolve.
Every connection has a purpose.
Extract information. Check it against approved knowledge. Route the exception to a person. Applied AI becomes useful when it connects to the work around it.
A clear decision. A traceable path.
Follow a claim through three scenarios. See AI read the evidence, rules guide the decision and people resolve uncertainty.
Step inside the engineeringOne claim. Different paths. AI reads the evidence. Rules and people guide the decision.
Animated demonstration · Synthetic data
AI extracts the evidence. A complete claim passes validation and policy rules before a decision is recorded.
Follow AI-prepared evidence through validation, policy rules and a recorded decision.
claim.receivedIntakeevidence.extractedAI analysisevidence.checkedValidationrules.evaluatedPolicy rulesdecision.recordedDecisionaudit.appendedAudit trailWe build new platforms, replace systems that have reached their practical limit, and connect technology that was never designed to operate together.
Administration, configuration, quotation, issue and renewal.
Evidence, rules, referrals, exceptions and decision workflow.
Intake, assessment, adjudication, payment and recovery.
Payments, arrears, servicing, collections and reconciliation.
Partner portals, self-service, mobile applications and APIs.
Reporting, document AI, knowledge and decision support.
Our principal stack is .NET, Azure and SQL Server. Around it we add the web, mobile, data and integration technology that fits the system—and the team who will inherit it.
Document intelligence, approved knowledge, exception triage and decision support. Each one wired into your permissions, your audit trail and a person who can overrule it.
Explore applied AIBoundaries, data models, cutover and observability are designed with the platform. Leaving them until after launch adds risk and rework.
Explore our engineering approachThe people who establish the architecture remain involved through delivery, production and ongoing change. The same context informs later changes.
Map the users, products, rules and exceptions—then the data and integrations underneath them.
Define architecture, data, contracts, delivery sequence and principal risks.
Validate against real users, representative data and operational workflows.
Release, migrate, support and evolve as products and priorities change.
From assessment, architecture and migration through build, cutover and long-term operation. Bring what you have—a formal brief can come later.