Decision Systems
Models embedded where judgment is made — pricing, risk, allocation — so your experts decide with more, not less.
EST. 2026 · LAYER VI SURFACE · 00%
AN ENTERPRISE AI CONSULTANCY
Most AI stops at the surface.
We work at depth.
BEGIN DESCENT ↓ LAYER II
AI THAT GIVES YOUR PEOPLE SUPERPOWERS.
SO THEY DO THE HUMAN WORK —
NOT THE ROBOT WORK.
FOCUS AREAS
CLAIMS AUTOMATIONDEMAND FORECASTINGCONTRACT INTELLIGENCEFRAUD & AMLSUPPLY OPTIMIZATIONKNOWLEDGE RETRIEVALUNDERWRITINGLEGACY MIGRATIONCLINICAL OPERATIONSPRICING SYSTEMSREGULATORY REPORTINGCUSTOMER INTELLIGENCE
We don't replace people. We give them superpowers.
The point of enterprise AI isn't fewer people on the payroll. It's people freed from the robot work — the copying, the reconciling, the 2 a.m. exports — to do what only humans can.
PRINCIPLE 01
Augment, never replace.
Every system we ship hands hours back to a person. We measure leverage gained, not headcount removed.
PRINCIPLE 02
Built for production.
No sandboxes. We ship into your environment, behind your controls, alongside your people.
PRINCIPLE 03
Owned by your team.
We document, train, and hand over. Then we leave. Dependence is a design flaw.
Four practices. One standard: production.
Agentic Operations
Autonomous workflows for the repetitive work, with full audit trails. People set the policy; agents do the grunt work.
Data Foundations
The layer that decides whether your AI compounds or decays. Unglamorous. Decisive.
Governance & Assurance
Model risk, provenance, and controls written for your regulator — not around them.
The decision stays human. The grunt work doesn't.
RETAIL BANKING
The whole client, before the decision.
A loan officer sees every account, the full history and the risk in one view — and when an applicant doesn’t qualify for what they asked for, the system surfaces what they do.
See the breakdown ↘INSURANCE
Context the moment a claim lands.
The adjuster sees policy, history and evidence in context the instant a claim arrives, with a drafted assessment to react to — not assemble.
See the breakdown ↘CUSTOMER SERVICE
The person handles the person.
The agent gets the customer’s whole story and the next best action on one screen, while the system does the lookups, the notes and the follow-up.
See the breakdown ↘HEALTHCARE
Less paperwork, more patient.
Prior-authorization requests are drafted from the record with the right codes and evidence attached; a clinician reviews and submits.
See the breakdown ↘SUPPLY CHAIN
One picture of demand and supply.
Planners get a live view of demand, stock and supplier risk, with a proposed reorder and the trade-offs spelled out.
See the breakdown ↘LEGAL
Every clause, read and ranked.
Each incoming contract arrives marked up against your playbook — deviations surfaced, risk ranked, fallback language suggested.
See the breakdown ↘Sixteen weeks. One number.
- M—01 WKS 0–2
Diagnose
We choose one KPI with your operators and price the engagement against it.
- M—02 WKS 3–8
Prove
A production-grade system on your data, inside your perimeter. Not a prototype.
- M—03 WKS 9–14
Industrialize
Security review, failover, cost ceilings, controls. The work that makes it permanent.
- M—04 WKS 15–16
Transfer
Runbooks, training, a hard handover date. Your engineers run it from here.
What you can hold us to.
1
ONE KPI PER ENGAGEMENT — A NUMBER YOUR CFO ALREADY TRACKS
16
WEEKS FROM BRIEF TO PRODUCTION. NOT A PROTOTYPE
100%
YOURS AT HANDOVER. DOCUMENTED, TRAINED, TRANSFERRED
0
JOBS WE'RE HERE TO REPLACE. WE BUILD LEVERAGE, NOT LAYOFFS.
The best AI in your company should make your people impossible to replace — not redundant.
You've reached the base layer.
This is where engagements begin. Tell us the work your people shouldn't be doing. We answer within two business days — with a point of view, not a deck.
NOW OPEN FOR OUR FIRST ENGAGEMENTS · 2026