It’s time to trust your data

MTN Guide maps your data and provides the trusted context you need, when you need it.

Messy data used to slow you down

Now, with unchecked AI, it lies with confidence.

One question

What was our Q3 headcount?

  • Workday1,428
  • MatrixCare1,606
  • PointClickCare1,571
  • NetSuite1,689
  • Legacy DB1,352

337 apart Five systems, five answers, and nothing that says which one to report.

An agent asked this question will pick one and tell you with total confidence. You cannot build AI on data you cannot trust.

Understanding your data used to require expensive humans

In late 2025, that ended.

1985 – 2025
Read by humans

Understanding a data estate meant hiring people to read it, one system at a time. Only large enterprises could afford the climb.

Late 2025
Coding agents became trustworthy

Machines got good enough to read structure and hold their reasoning to evidence.

2026 →
Read by machines

The read now takes hours instead of quarters, which puts a trusted foundation within reach of operators who were priced out of one.

Three tiers, one MTN

Trusted data at the base, the real AI business at the top.

Your AI-enabled business

Models trained on your own operations. Agents you can put into production. Questions nobody in the business can answer today. Built with whatever tools you choose.

Data transformation

A forward-deployed engineer works inside your systems and carries the load. You review the work. You do not staff it.

MTN FieldMap and MTN Guide

The map of what every field means, and the guide that answers against it. Everything above rests here.

Order matters, and the summit runs on it

Revenue and quality depend on a true timeline. Building one is the part everyone underestimates.

What happened
Service delivered
Claim submitted
Claim denied
What your systems show
Clinical record
Service deliveredcoded 9 days later
no shared key
Billing system
Claim deniedposted from the payer remit
Claim submittedbackfilled from the clearinghouse
Same three events, split across two systems, and neither in the order things happened. No one view has the whole story, and nothing says how to join them.

How MTN Guide works

An agentic data engineer that builds MTN FieldMap, then keeps it current.

1

Read

Schemas, docs, and API definitions, not your records

2

Map

Fields to concepts, with the evidence behind each claim

3

Maintain

A source changes, and only that connection is re-checked

A different deal

Fixed scope and a named engineer, instead of an open-ended program.

1The Read
Hours

Your systems mapped. What is there, and what is possible.

2The Number
Weeks

One answer everyone trusts, live and traceable, in production.

3The Year
Ongoing

It stays true as systems change and acquisitions land.

Built to be trusted with regulated data

A map is only useful if you can check it. Ours is designed to be checked.

Schema-first

We work from schemas and docs. No PHI to begin.

Evidence-backed

Every claim names what it rests on, including a person’s answer.

Honest about gaps

When it can’t answer, it says so and names what is missing.

Out of the data path

Guide returns routes. Running the query stays with you.

Send us one representative schema

We’ll show you what the FieldMap finds in it. Just as usefully, we’ll show you what it can’t tell you without asking.