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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.

The problem

The data exists. It just doesn't connect.

A franchise system generates plenty of data. The trouble is where it lives: in separate systems, captured differently at every location, never reconciled into one view. That gap is what stops both reporting and AI.

  • Field service & scheduling

    Completed jobs, dispatch, and technician activity live in the platform each location runs — and rarely roll up the same way twice.

  • CRM & lead systems

    Where leads and customer history are captured locally, disconnected from what actually got booked or completed.

  • Franchise management

    The system of record for the franchise relationship — onboarding, compliance, performance — held apart from operating data.

  • Point of sale & payments

    Transaction-level revenue that should reconcile against operations but usually sits in its own silo.

Works with the tools you already run

ServiceTitanHousecall ProJobberTekmetricHubSpotSalesforceFranConnectSquareToastQuickBooks

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 — but every one of those domains depends on data it can trust. ADF is what makes that data trustworthy. For PE-backed portfolios especially, it's the work that has to land before AI can: portfolio-scale data, normalized once, so the next acquisition or AI build starts from a known baseline.

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.