By industry
AI & Automation for Franchise & Multi-site Businesses
Open the hundredth location as easily as the second
We design around
- DPDP Act 2023
- PCI DSS
- Franchise agreement and disclosure record-keeping
- Sector licensing where applicable
- 3 days → 2 hrs
- New location provisioning time
- 1
- Platform versions in production
- 90%
- Network reporting available without chasing
Rather than one per cohort of franchisees
What we hear
The problems that bring people to us
If several of these describe your week, there is almost certainly something worth automating.
- Every new location set up by hand over several days
- Franchisees running different systems, or the same one at different versions
- Consolidated reporting assembled by chasing spreadsheets each month
- Brand and pricing consistency policed manually, and inconsistently
- The central team is the bottleneck for everything a franchisee needs
What we build
Where automation pays off in franchise & multi-site
Provisioning automation
A new site, franchise or branch created from a template with its own configuration, users, billing, domain and branding, in hours rather than days, with no manual setup steps for someone to forget.
Multi-tenant platform
One codebase and one operational surface serving every location, with per-tenant configuration and controlled local variation. Every franchisee on the current version, because there is only one.
Franchisee onboarding and enablement
Training, documentation, access and the first-ninety-days checklist automated from the point the agreement is signed, so opening speed does not depend on who at head office picked it up.
Consolidated reporting
Network-wide performance from source systems rather than submitted spreadsheets, with per-location comparison the central team and franchisees both accept.
Local marketing at scale
Campaigns run centrally with local targeting and controlled per-location variation, so brand rules hold without head office writing each advert.
Franchise is a model, not an industry
We have built this for play-school networks, fitness studios, food outlets and multi-branch service businesses. The sectors have nothing in common and the engineering problem is nearly identical, which is why this page exists as a model rather than under one vertical.
The shared shape: a central team that owns the brand and the platform, independent or semi-independent operators running locations, and a growth plan that assumes opening the next site is easy. The last assumption is usually where it breaks.
Growth exposes the manual steps
At five locations, setting a new one up by hand is a couple of days of somebody's attention and nobody notices. At fifty, that same process is a permanent function, a queue, and the reason the expansion plan slips.
The steps are rarely difficult. Creating accounts, configuring pricing and tax, setting up the domain and branding, provisioning payment, loading the local catalogue, adding users, running training. Each is small. Collectively they are the constraint on how fast the network can grow, and they are almost entirely automatable.
The variation question
Every multi-tenant platform lives or dies on one decision: what is allowed to differ between locations.
Allow too little and franchisees route around the system, keeping their own spreadsheets and submitting numbers that do not reconcile. Allow too much and you are maintaining a platform per cohort, with upgrades that take a quarter and a support burden that grows with the network rather than flattening.
The workable line is usually this. Statutory and structural differences — tax, currency, language, licensing, local pricing — get first-class configuration. Operational preferences get one way of working, decided centrally, with franchisee input into what that way is. Preferences accumulated because someone once did it differently get retired, with notice and with help.
That is a governance conversation more than a technical one, and it is worth having properly before the build rather than discovering it during rollout.
Manual network
- New location opened by hand over three days
- Four platform versions across franchisee cohorts
- Month-end reporting chased over email
- Local adverts written by whoever has time
- Head office answering the same question weekly
Provisioned network
- Location provisioned from a template in hours
- One version, upgraded for everyone at once
- Network reporting from source, continuously
- Local variants generated within brand rules
- Franchisee questions answered automatically, escalated when novel
Reporting franchisees will accept
Consolidated reporting fails on trust rather than on engineering. A franchisee shown a number they did not produce, calculated in a way they cannot inspect, comparing them unfavourably to a peer, will dispute it — and they will often be right, because submitted spreadsheets and system data rarely agree.
What works is generating from source systems, publishing the definition alongside the number, and giving each location the same view of their own data that head office has. Transparency is what converts network reporting from a compliance exercise into something the field team can act on. The underlying work is data platform buildout with a tenancy model on top.
Where the work overlaps
The platform and provisioning are Product Engineering. The environments and per-tenant infrastructure are Infrastructure Management. Franchisee support deflection is support automation, and local campaign operations are Growth & Demand Generation.
FAQ
Questions we get asked
What does a first engagement cost and how long does it take?
Two weeks to map how a location actually gets opened today — which is usually longer and more manual than head office believes — then four weeks to automate the provisioning path. A full multi-tenant platform replacement is a ten to sixteen week build and worth sequencing after provisioning, because provisioning teaches you what varies between locations and that is the platform's central design question.
Our franchisees each want something different. Does a single platform work?
It works if you separate genuine local requirement from accumulated preference, and that separation is the difficult conversation rather than the engineering. Pricing, language, tax and statutory differences are real and get first-class configuration. Layout preferences and workflow habits usually do not, and accommodating all of them is how networks end up with a platform per cohort. We will help you draw the line and we will not pretend it is painless.
We are not a franchise, just a business with forty branches. Does this apply?
Yes, and often more cleanly, because you can mandate rather than negotiate. The engineering is identical — provisioning, multi-tenancy, consolidated reporting. What differs is the change management, which is substantially easier when the locations are employees rather than independent business owners.
Can franchisees keep their own systems?
They can, and you should count the cost. Every additional system is an integration to build, a reconciliation to run and a version of the truth to argue about at month end. Sometimes the commercial reality of an existing agreement makes it unavoidable, in which case the answer is a normalisation layer rather than pretending the data is comparable when it is not.
How do you handle a franchisee leaving the network?
As a designed path, because it will happen. Access revoked, their data exported and handed over per the agreement, the location deprovisioned cleanly and any shared customer data handled according to whose it actually is under the DPDP Act — which is a question worth settling in the agreement rather than at exit. Networks that have not designed this do it manually and badly, under time pressure and often in dispute.
Where does AI genuinely help in a franchise network?
In three places. Answering the franchisee support questions that head office fields repeatedly, which is high volume and rule-bound. Flagging performance outliers across locations so the field team visits the right sites. And generating local marketing variants within brand rules. What it does not fix is a franchise model where the unit economics do not work, and it is worth being clear that no automation rescues that.
Talk to someone who has worked in franchise & multi-site
Bring a process that annoys you. In 30 minutes we will tell you whether AI helps, what it would cost, and where it would fail — even if the answer is don't bother.
Or email [email protected] · we reply within 1 business day