Anyone can build an agent. We build the production system that runs your business.
Lily learns how your company works and puts that intelligence to work. Your systems stay; Lily sees across them and does the work.
Start with one use case, or start with the whole platform. Live within a week of data access, and you keep the model.
“The barrier to building an agent is low, but a production-ready system around it is not trivial. We could build in-house. We won’t.”
We learn your business.
Bring a real transcript, request or territory. In the workshop, we build a working demo from it in about 30 minutes, so you see your own work, not a canned demo. Weeks one and two run on public data while access is set up. Once your systems are connected, Lily is live within a week.
Live within a week of data access.
Then one play, measured against the number you agreed, by week twelve. A production system from the first week.
Change management, built in.
A forward-deployed team lands within two weeks and drives adoption with your frontline team, skeptics included. Adoption is measured weekly, like any other result.
Any data, read in place.
ERP, CRM, email, documents and public signals, messy or spread across acquisitions. Your systems stay. Messy data is the starting point, not a prerequisite.
We bring what we've learned.
Industry experts on site, with service and process know-how from every deployment. Your data never trains another company's AI.
We run the work.
Agents are easy. Systems are hard. Lily for Sales grows more from every customer. Lily for Service gives every technician your best expert. Lily for Operations moves more work through the business. Specialist agents do the work inside the systems you already use, under their own names, with a receipt for every change.
Sell like your top ten percent.
Every rep and technician works with your company's best judgment beside them: who to call, what to say, and why.
Action, with evidence.
Ranked actions you can do, say or send. Nothing reaches a person without its sources and the reason it surfaced now.
Your people move up.
Research, prep and admin come off their plates. In service and operations, volume grows faster than headcount.
It gets better every day.
A rented assistant answers and forgets. Lily keeps the history, the corrections and the outcomes, so win rates, match rates and response times keep improving. And all of it stays yours.
Your experts, built in.
Corrections become guidance, credited to the people who made them.
Lily stays.
Our team builds it with you, then moves on. Lily is the AI that stays with your company: it keeps the record, keeps it current and keeps improving.
Own, not rent.
The model, the memory and the track record are yours, whatever happens to the engagement. Our cloud, your cloud or your building.
The model is one part. The system is the product.
Frontier intelligence knows the world. Lily knows your business, and you own it. Every vendor has the same models now, and they get better and cheaper every quarter. What none of them has is a working model of how your business runs. Lily is that system: the AI that stays with your company, running on whatever models come next.
Why it mattersThis is what turns AI from a demo into a production system you can scale, audit and trust, including in regulated industries.
01Rules first, AI second.
In the first week, we write down the rules your business runs on: pricing exceptions, approval thresholds, who owns which account. The people who own them review and sign them. They run as rules, so the AI follows them instead of re-deciding them.
02AI output is checked before it acts.
Every recommendation has to cite its evidence and come from an agent with the authority to make it. Anything it can't back up is stopped, visibly.
03People decide what matters.
Each kind of action is set up front: automatic, approved by a named person, or human-only. Money, customer commitments and changes to your systems never move on a guess.
04People and agents work together.
Several agents and several people can work the same situation at once, with one shared record of who found what, who challenged it and who decided.
05Swap the model, keep the business.
When a better model arrives, we switch it in. Your rules, your history and your results stay where they are.
Start with a use case. Or start with the platform.
Use cases are a great place to start.
Pick the product that owns your hardest number: Lily for Sales, Service or Operations, with an industry solution such as Lily for Sales for building-products distribution. One play, live within a week of data access. When you’re ready for the next one, it’s a toggle on the same platform, not a new project.
Or start with the platform.
Some companies want the foundation first: their own Lily, the AI that stays with the company, on their systems, under their controls, ready for every use case that follows. That’s an intelligence asset you own, not another tool you rent.
Either way, it’s the same platform underneath:
One Brain.
One owned model of how your company works: customers, products, prices, assets, people, history. What the first play learns, the next one already knows.
Controlled action.
Every action scoped, approved by a named person where required, reversible and receipted. Every new play inherits it on day one.
A forward-deployed team.
Industry experts on site, not a toolkit and a bench. They configure the first play and drive adoption; Lily keeps it running and improving after they move on.
Built to scale.
Small models built for your business give fast responses and costs that stay flat as volume grows. One play or ten, one site or hundreds, in our cloud, your cloud or your building.
An equipment rental company runs Lily across technicians, branches, sales and customers, covering about 80% of its fleet value.
Read the case study: Multiplayer AIAn urgent-care operator expanded from one district to its full footprint before the first results were in.
Read the case study: Staff Scheduling