From stalled pilot to AI-native operating model — that you own.
Your hardest, most-audited work is stuck in pilots: claims, underwriting, prior authorization, compliance. We take it to production, with agents built on your cloud and models, run by your people, and owned by you.
Prior auth · specialty medication
Status
Guardrails
The problem
You've already tried AI. Here's why it stalled.
Built from scratch, for one use case.
When the model was deprecated or the use case shifted, everything started over. Nothing compounded.
Nobody trusts it, so nobody uses it.
There's no visibility into why it acted, compliance won't sign off, and teams route around it.
Someone else owns your intelligence.
Your workflows, rules, and edge cases sit inside a runtime you don't control.
That's the gen-AI paradox: near-universal adoption, little bottom-line impact. These systems were built for the pre-AI era. Budget spent, nothing in production. The durable win looks different. It compounds, your people use it, and it stays yours.
The agent factory
We start from a shelf, not a blank page.
Intux is our agent factory: a growing library of reusable agents, MCP tools, prompts, and evals. Every engagement adds to it, so each new client starts from a richer baseline than the last. From there, the assets specific to your domain accumulate across your use cases. The second draws on the first, the third on both, and each one starts closer to done. Nothing to configure, nothing to license. The shelf runs in your environment, and what it builds is yours.
Every use case adds to the shelf: yours, and everyone's after you.
Shared library
Client solution · claims intake
Foundation · your stack, not ours
The model
From pilot to production operating capability.
Industrialize, don't demo
Most agentic pilots die in production. Yours won't.
We take the hardest, most-audited work from pilot to production and keep it running. Evals are first-class artifacts, guardrails hold for regulated contexts, and a human reviews where it counts.
How we work →
02Open by design, yours to keep
Your cloud. Your models. Your platform. Your capability to keep.
When a better model ships or your cloud contract changes, one component swaps. The orchestration, the tools, and the memory layer stay put.
Platform →
03Trust engineered in
Built to survive an audit.
Every agent action logs what it saw, which rule it applied, why it acted, and where a human reviewed it, in a format auditors already accept.
Trust & AI Ops →
04Value that compounds
Feature one hundred should cost less than feature one.
Each engagement starts from the shelf and adds back to it. Your second use case starts closer to done than your first.
How we work →
05 · Built for people + agents
Agents fail because nobody trusts them. So we make the system legible.
Intent preview before the agent acts. Confidence-based routing to a human when it's uncertain. One-click override. A clean audit trail every regulator can follow.
AI Experience →- 01Intent preview
- 02Tool-use disclosure
- 03Planning visibility
- 04Confidence + override
- 05Audit & verification
Prior authorization · specialty medication
Press Run the agent to watch it work through the five AIX patterns — with a human in the loop.
Where we go deep
Built for the work regulators examine.
Proof
Partnering with enterprises since 2007.
Delivery across banking, insurance, and life sciences.
0
proprietary runtimes. Everything runs on your stack.
~6 wks
stalled pilot to production on a prior-auth engagement
Representative
~94%
straight-through rate on a first production prior-auth workflow
Representative
60–70%
of assets already in place when a client starts their next use case
Representative
How we work
Innovation at scale is a loop, not a project.
Each turn makes the next cheaper, and every engagement is designed to be handed over.
Reimagine
Find the highest-value regulated workflow.
Quick MVP
Prove it on your stack in weeks, not quarters.
Hybrid-Pod Scale
Your people and ours industrialize it together.
AI Ops
Run it in production — handed over to your team.
Insights
Field notes on industrializing agents in regulated work.
Observability is the product: why agents without traces don't survive a compliance review
Feature 100 < feature 1: the economics of a growing agent shelf
Your pilot didn't stall because of the model. It stalled because nothing was designed to be reused.
Let's talk
Tell us where your pilots are stuck.
We'll show you what production looks like on your stack.
Path 01
Book a call
Grab a slot directly. Talk to a delivery lead, not a sales queue.