How we put AI to work in your business
We find the work worth automating, build the system around how you operate, and run it after launch. The people who scope it are the people who build it. Every engagement has a fixed fee and ships working software at every stage.
How a project runs
It starts with a free 30-minute call. From there, every stage ends with software you can use, so you see progress as you go.
Intro call
It starts with a free 30-minute call where we learn what your business does, what software it runs on today, and where that software gets in the way. If it makes sense to work together, we send a fixed-fee proposal within a week. If custom software isn't the right next step yet, we suggest what would help more.
First system in production
We pick the workflow worth automating first, design the system around it, and put it into production on your real data, usually in about four weeks, for a fixed fee agreed up front. You finish with software running in production and a written plan for what to automate next. If you stop there, you keep what shipped.
Get started in as little as 2 weeks.
How the first system worksBuild
We build in stages. Each stage adds a piece of the system and ends with working software, and if you stop, you keep what’s there. Most engagements take 3–6 stages, and we agree on each one as we go.
Operate
Once the system is live, we run it for you on a monthly basis and keep it working as the AI models and tools underneath it change.
- Keep the agents current. Models get deprecated, APIs change, and the tools your agents depend on get updated. We migrate to new models, retune prompts when behavior slips, and re-test against your real cases before anything ships.
- Catch drift before users do. Evals run on every change, and we monitor output quality, latency, cost, and error rates. When an agent starts to slip, we usually see it before your team does.
- Retrain on your data. Edge cases, exceptions, and your team’s corrections feed back into prompts, retrieval, and policies, so the agents handle more of your business over time.
- Add what's next. New modules, agents, and workflows as the business changes, built on the same foundation by the same people.
Most clients stay on Operate because the agents need ongoing care. Some move to a lighter-touch arrangement once things settle.
Some of the things we build
Every business runs a little differently, so no two systems we build are the same. These are the ones that come up most often.
Scheduling and operations systems
Scheduling, exception handling, and a live view of the work. Agents make the routine calls a coordinator would: re-planning the day when a job runs late, escalating anything unusual, summarizing the day at shift change. Your people spend their time on the exceptions.
Client portals with AI intake and routing
Clients upload documents and your team gets a summary. Each document is classified on arrival and the next step is suggested, so nothing sits in an inbox. The portal carries your brand.
Internal ops dashboards with predictive signals
Live business metrics that flag unusual numbers as they happen. Reports are drafted automatically, and drill-downs explain why a number moved.
Custom CRMs and pipelines
Built around how your team sells. AI summarizes calls, classifies leads, drafts follow-ups, and updates records, so nobody re-types notes. It replaces the parts of Salesforce or HubSpot that don’t fit how you sell.
Inventory, supply chain, and fulfillment tools
Demand forecasting, reorder points, and exception routing. Agents handle routine reorders and pass the exceptions to your team. It runs on top of the ERP or order system you already have.
Recommendation and merchandising engines
Models trained on your catalog and customer behavior, data no competitor has. They improve as the data grows, and feed your storefront, email, and ad platforms.
Don't see your business here? Tell us what you're running and we'll tell you whether we can help.
How we build
We build with AI coding and planning agents, the same kind of tooling we put into the systems we deliver. They write and test much of the routine code. We design the architecture, review every change, and own the result.
That is how a first system reaches production in weeks, and why a fixed fee stays within reach for a growing business. It also means we run our own work on the methods we sell.
What the AI does once it's running
This is what we mean when we say a system is AI-native. Ask us on the call and we'll show you any of it working on real data.
It handles the routine work
The software does the work itself. A scheduling agent re-plans the day when a job runs late. An intake agent processes new client paperwork from start to finish. A reconciliation agent matches invoices and escalates the ones that don't match. You set the rules, and the agents ask for help when they're unsure.
You can ask it questions in plain English
Requests go straight to your data and your agents. Ask "show me which clients haven't paid this month and have the follow-up agent draft replies in my voice" and the drafts come back ready to send.
It makes the routine calls along the way
Classification, routing, prediction, and anomaly detection run as steps in the workflow. When an invoice arrives, it's classified, sent to the right approver, and flagged if it doesn't match the usual pattern.
It keeps up, and gets better at your business
Models get deprecated, APIs change, and the tools your agents depend on get updated. We run evals, upgrade models, and migrate agents so they keep working. We also feed your team's decisions and corrections back in, so the agents handle more of your edge cases each month.
Talk to the people who would build it.
In 30 minutes we'll go through where the hours go in your business and tell you what AI should take on first, and whether we're the right fit to build it.