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ADF — AI Data Foundation

You can't deploy AI on data you can't see.

Most franchise systems run on tools that don't talk to each other. The AI Data Foundation connects and normalizes that fragmented data into one layer — so you can report on the network today and build AI on it tomorrow. It's the prerequisite that sets the ceiling on everything else.

Ask your network a question. Get one reconciled answer.

Every location runs its own stack — field service, CRM, franchise management, point of sale — and none of it reconciles into one view. ADF connects and normalizes that data into a single layer, so anyone on your team can ask a question across the network and get a number that holds up.

One data layer, whichever AI tool your team runs

What’s our real network AUV this year—one number I can stand behind at the board meeting?
Claude
Loaded tools, used ADF MCP integration
query_network_auv
Result
Done

Network AUV is $1.42M, up 4.1% YoY—every location counted the same way, reconciled against deposits. Top quartile grew 11%; bottom quartile shrank 3%. The gap is widening, and that’s the number to watch.

Reply to Claude…

Sonnet 4.5

What ADF does

Connect. Normalize. See. Build.

ADF turns the systems you already run into one data layer you can trust. The reporting that runs on it today is the same foundation AI runs on later.

Connect

ADF integrates the systems your locations already use — field-service platforms, CRM, franchise management, point of sale — and brings their data into one place. These are partners we connect to, never tools we replace.

Normalize

The same metric means the same thing across every location, so a number from one franchisee reconciles against the next. This is the part fragmented stacks never get right on their own.

See — then build

BI and reporting work immediately: one connected view of how the network performs. The same layer is what AI runs on later.

Where it sits

The foundation under the flagship.

The AI Modernization Accelerator finds and builds AI across seven domains — and every one of them depends on data it can trust. ADF is what makes that data trustworthy, and it ends in a decision of its own.

Today

The systems you already run

Each location’s data lives in its own tool, and none of it reconciles into one view.

  • Field servicejobs & revenue
  • CRMleads & pipeline
  • Franchise mgmtroyalties & reporting
  • Point of saletickets & sales

Four systems, four versions of the same number.

This program

ADF — one data layer

The systems stay. Their data comes into one layer the whole network can trust.

  1. Connectevery system’s data, in one place

  2. Normalizethe same metric means the same thing at every location

  3. Seeone connected view of how the network performs

For PE-backed portfolios: normalized once, so the next acquisition or AI build starts from a known baseline.

ADF ends in its own decision

Stop here

A connected data layer

BI and reporting across the network, and a layer your AI assistants can query directly — complete on its own.

Move into AMA

The flagship

AI across all seven domains, built on data it can trust.

Starting with ADF doesn’t commit you to the rest.

Is ADF right for your system?

Built for systems where the data won't reconcile.

ADF is the right starting point when the data already exists but you can't see it as one picture — and reporting, not just AI, is what that gap is blocking.

  • You're running multiple systems that don't reconcile — field service, CRM, franchise management, POS.

  • The same metric means different things at different locations.

  • You want reporting you can trust now, with AI as the next step — not a science project.

  • Pulling a network-wide number today means manual exports and spreadsheets.

Related programs

Get Started

Let's look at your data.

A 30-minute scope conversation covers the systems you run today and what it would take to bring them into one layer you can see and build on.