AI for franchisors and multi-location brands. The same standard at every location.

At a glance

• Who it's for: founders, CEOs, COOs and operations leaders of franchisors and multi-location brands with $10M+ in system or company revenue.
• What Modern Thesis does: AI strategy, change management, implementation and ongoing stewardship, from one team.
• How it starts: a strategic assessment that measures how the work moves today and ranks where AI pays first. See the assessment.
• Where: based in the Denver area, with an office at 11001 W 120th Ave, Ste 400, Broomfield, CO 80021. On site across the Denver metro and Colorado, and remote anywhere in the US.
• What it doesn't do: give franchise legal advice, replace your POS or franchise management software, or publish a rate card. Each engagement is priced to its scope after a first conversation.

Who is this page for?

This page is for the people who run a franchise system or a multi-location brand. The work grows with every new unit: onboarding new franchisees, answering the same operations questions again and again, comparing locations that report differently and keeping customer follow-up consistent across owners who run things their own way. Support teams stay small while the system grows. AI helps keep the standard without adding a support person for every few locations.

Where does AI help?

AI helps most where the same work repeats at every location. Four areas are common:

• Franchisee onboarding and support: answer questions from the operations manual and training materials, with sources, and track onboarding steps.
• Location-level reporting: pull the same measures from each location's systems into one weekly view and flag outliers.
• Customer follow-up: follow up on leads, bookings and reviews the same way at every location.
• Scheduling: help each location staff to expected demand.

Which kinds of companies does this cover?

Each type of brand has its own page: franchisors in general, IV hydration, kids' education and enrichment, coffee and food, and moving and storage. Multi-location home services operators have their own page. These pages explain how AI applies to each. They are not a claim that we specialize in any of them.

What does Modern Thesis do for a brand like this?

Modern Thesis covers four disciplines with one team. In strategy, Jim Coleman and the team map how the work moves through your brand today. In people, we work with franchise support staff, field consultants and location managers on training and incentives, so they use what gets built. In implementation, our AI specialists and Forward Deployed Engineers build the workflows and connect them to the software you already run. In stewardship, we stay to check accuracy, keep pace with new AI models and report the return against the baseline.

How does an engagement start?

Every engagement starts with a strategic assessment. We sit with the people who do the work, map how it moves through the brand today, and measure a baseline on the workflows that matter most: support tickets per location, onboarding time for new units, reporting hours per week, lead follow-up time and labor cost against sales. Then we rank the opportunities by return and define the first build. If AI won't pay for itself somewhere in your business, we'll tell you.

When is something else the better choice?

If your franchise management or POS platform already handles reporting and support the way you need, use it fully first. If the main need is better writing and email, the ChatGPT or Copilot licenses you already pay for may be enough; our comparison of Copilot or ChatGPT and an AI partner walks through the difference.

How Modern Thesis handles this

We put AI to work inside xFusion, the 70-person company Jim co-founded, and then for several of its clients. Jim ran operations across a private equity fund's portfolio, so we start with comparable numbers across locations. Ongoing stewardship has no set end date, and you own your data, accounts, code and documentation throughout.