Architecture overview
Reslt AI — Results by Design
Reslt AI tests mortgage and insurance applications, assures the AI inside them, and exchanges loan data in MISMO formats — with a reviewable evidence record behind every result. Engage an offering on its own, or add our engineering team for the wider build.
Offerings
Three ways to start, built on mortgage and insurance domain knowledge. An offering on its own is a complete engagement — engineering is there when the fix reaches further.
AI-Powered Test Automation
Web, mobile, API and data tests for mortgage and insurance applications — with the Mortgage Domain Pack built in — and evidence your team can reproduce from the commit.
AI-Powered Test Automation →LLM Assurance
For lenders, servicers and insurers: check guardrails and retrieval context, compare model and prompt changes against reviewed scenarios, and turn production findings into regression tests.
LLM Assurance →Data Exchange Engine for MISMO
Bidirectional conversion between your data model and MISMO, round-trip tested, with an evidence record behind every conversion.
Data Exchange Engine →On-Prem Customized LLM for Mortgage
Guardrails, retrieval and prompts engineered against your own documents and policy language, then deployed to run in your environment. It proposes; a named person decides.
On-Prem LLM →Governance Readiness
MISMO FRAME for mortgage and the NAIC AI Model Bulletin for insurance, SOC 2 compliance support, and readiness for CCPA and state privacy laws — readiness support, not a certification.
Governance Readiness →How to start
Start with a release risk, an AI concern or a data requirement.
Bring the application flow, the AI use case, or the source and destination of the data.
See the failed checks, the gaps and the recommended next steps — reproducible, not anecdotal.
Run the offering with your own team, or add Reslt AI engineering for the wider solution.
Domain experience
Regulated buyers test domain fluency before anything else. Start with mortgage, then move across — the depth is the same in each.
Primary practice
We start with the domain models most teams spend years learning — TRID, MISMO, the GSE guide — so you explain your product, not your industry.
What lands with the work
Every offering ends in evidence your team, your auditor and your examiner can review — this is what lands with the code.
Architecture overview
Access control matrix
Audit trail export
Encryption & key handling
Test & coverage report
Security questionnaire
Outcomes
Audit findings
At a customer's SOC 2 Type II — the controls we built and run
Fortune-100 carriers
Live deployments, past security review
One team, together
Full retention — not assembled per project
To a live working proof
The optional Enterprise-Readiness Engagement
Product engineering
When the fix reaches into your application or your integrations, add Reslt AI product engineering — application changes, integrations, testing, DevOps and technical controls, on one accountable team. Or engage a team directly.
You bring
We run
You keep
Every offering is built using the Reslt Platform. The delivered client code is yours; the platform that builds it stays with us.
Your team
Every role an enterprise expects, US-led and on one accountable team — together six years, with full retention.
If you want a structured start
An optional four weeks ending in a live working proof — not a study, and never a prerequisite for an offering. If we continue, it becomes the foundation of the build.
Week 1
Diagnose
Enterprise-readiness diagnosis of your product and process, run inside your environment.
Findings & gap map
Weeks 2–3
Build
Target reference architecture plus a live proof slice — working software you can evaluate.
Working proof slice
Week 4
Plan
Board-ready readout and a costed delivery roadmap, shaped around your use case.
Costed roadmap
Tell us what is failing, changing or taking too much manual effort. A senior team on the first call — we will help define the next step.
Discuss your use casecontact@reslt.ai · reslt.ai