Custom ops systems for teams outgrowing their tools
We build the software your business runs on, with AI built in from day one. For teams outgrowing spreadsheets, or hitting the ceiling of a low-code and SaaS stack: the integrations that don’t work, the changes that need a contractor, the places AI can’t reach.
Software that was the right call a few years ago now quietly locks you out of what comes next. What used to be a stretch to develop is now table stakes for operating a business efficiently.
The internal software your business runs on: project tracking, client records, invoicing, the portal your clients log into. Built on foundations you own, and handed over with your team trained to work with it directly. Not copy-pasting into ChatGPT to find out what the business already knows.
Most teams know AI is important. Fewer can see where it actually pays back in their specific business, or how to integrate it into the systems they already run. Part of what we deliver is the answer to those two questions: where the leverage is, and how to build it in.
If you can't plug an AI tool of your choice into the system and pull info or do work, the system isn't working. We build so the AI tool you reach for can read your records, draft against your playbooks, and write back. The kind your team uses on day one, and keeps using.
Airtable, a handful of SaaS tools, Zapier holding it together. Now nobody wants to touch it, because one wrong click breaks three things downstream.
We pull project tracking, client data, and workflows into one system you own. The specialty tools that earn their keep stay. Everything else goes.
Your team uses ChatGPT for drafts, Claude for summaries, maybe Copilot in a spreadsheet. None of it knows anything about how your business runs.
AI reads and writes through the system itself. It pulls from your data, answers questions about your clients, drafts against your playbooks. Not a sandbox that forgets context every conversation.
You pay a contractor, you wait, you get something close to what you asked for, you iterate, you pay again.
Your team makes day-to-day changes without us: new fields, views, workflow tweaks. Structural changes ship in days instead of months.
Adding a field, adjusting a workflow, turning on a new feature: each one means a contractor quote, a ticket, a rebuild of half the system, and a two-week wait before anything moves.
Your team owns the small stuff: new fields, new views, workflow tweaks. Same-day changes, no contractor required. We step in for the structural work. Most of the day-to-day stops being an ask.
A low-code builder, a Zapier specialist, a spreadsheet wrangler, maybe a fractional analyst. Nobody sees the whole. Your SaaS bill keeps climbing.
One team that sees the whole picture: data model, workflows, AI layer, interface. You stop coordinating contractors and start shipping.
Record limits. Rate caps. Features gated behind enterprise tiers. Every new capability you want is a pay wall or a wait list.
We build on open infrastructure: Postgres, code you own, AI through models of your choice. You are not subject to the platform's roadmap or tier structure.
Every new hire adds a seat to every tool. Five platforms, ten licenses, a monthly bill that climbs even when the work stays the same. You pay more just for the privilege of having a team.
On your own infrastructure, adding users costs nothing extra. The bill scales with what you build, not with how many people log in. Hire five more people next quarter and your costs look the same.
There’s another way. One system you own, built around how your business works, with AI that can read, draft, and update it the way your team does.
Book a free call“You feel like AI should be transforming how the business runs. Instead it’s scratching the surface. Another summary, another tab, another ‘that was kind of useful.’”
One system. Built for your business. Owned by you.
We bring the software your business runs on into one place: project tracking, client data, workflows currently held together by spreadsheets and Zapier. Specialty tools that already work stay put. You end up with one place your team and your AI can both read and write to.
Your team asks the system for a status summary, a draft invoice memo, or a list of stuck projects. It reads the same records your team does and answers from that, not from a hallucination or a stale export.
You pay roughly what you're spending on your current contractor mix, and you get end-to-end visibility. One team sees the same code, the same workflows, the same data. Instead of tickets scattered across specialists who've never met, one partner with context.
Your database, your automations, and your AI finally know about each other. A change in one becomes updates everywhere else.
Your records, your workflows, your logic: all exposed to AI in a way a closed platform can’t match.
Your code, your data, your infrastructure. No per-seat pricing, no record limits, no vendor surprises.
Changes that took weeks take days. AI-assisted development moves at your speed, not a platform's roadmap.
No seat limits, no record caps, no rate ceilings. The system grows with the business.
Breadth, context, and consistency, without the contractor coordination overhead.
The three partners building this with you: an architect, an AI engineer, and an operations lead. Years of building the internal systems teams actually use every day.
Founder & Lead Architect
Baz founded Shawmut Consulting after leaving a product role at Whoop. The practice started as a low-code and Airtable agency for founder-led service companies, building internal tools, ops systems, and workflow automation. Watching a client rebuild months of that work in a week using an AI agent made clear the low-code era was closing. That's what Shawmut AI is built around.
AI Engineering
Cole is an AI engineer on Indeed's internal AI team, where he builds production tooling for a large technical organization. He's hands-on with the infrastructure behind this kind of software: MCP servers, Supabase, Composio, OAuth flows, and the developer stack we use to ship. On Shawmut AI engagements, Cole leads AI integration and technical depth.
Operations & Delivery
Anthon spent years in corporate operations leadership at a large enterprise, where he ran internal teams, managed vendor relationships, and saw firsthand the gap between what software looks like in a demo and what it has to do when a real team depends on it every day. He brings the operator's perspective to Shawmut AI engagements.
Bolt AI onto an existing system and it has to learn your architecture from the outside. Build the system with AI and it’s been inside the work from day one. No handoff, no ‘please read these docs.’
Pricing up front. No lock-in. Every engagement starts with a project build and can continue as a retainer. Either we keep maintaining and evolving your system, or you take ownership outright and we step away. The code and the documentation for how to use it are always yours. We build every system so you could run it without us.
No lock-in past the first year. Month-to-month after that, with 30 days notice.
We build on open infrastructure. Any developer who works in Next.js and Postgres can pick up your system.
Tier review every 6 months. We recommend downgrading if you're under-using. No overpaying for capacity you don't need.
Rebuilt campaign operations for an influencer marketing company: centralized creator roster, automated invoicing, and profile scraping for engagement metrics. 18+ months and growing.
Built the software that runs a short-term rental management company. 30,000+ reservations unified, data pipelines from every SaaS tool, and AI-powered reporting. 3+ years and counting.
Full production management system for a creative studio. HubSpot integration, AI-powered invoicing from Bill.com PDFs, and complete AR/AP financial tracking across every project.
Pick a time, or send us a question. Either way, we get back to you within 24 hours.