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AI Enablement

Turn what your team knows into AI you own.

You've got the mandate to do more with AI and a nagging sense your competitors are further along. We help growing companies find where AI will actually pay off, then build the tools and agents that make your best people's judgment available to everyone.

You have the mandate. You don't have the plan.

The board is asking about AI. A competitor just announced an "AI-powered" something. Half your team is quietly using ChatGPT, each in their own way, and nobody can tell you whether it's helping.

Meanwhile the pilots you did try stalled. Not because the models aren't good enough, but because they don't know how your business actually works: your customers, your process, the hundred small calls your best people make every day without thinking.

That's the gap. And it's fixable.

Scattered experiments

Individual tools, no shared playbook, no way to measure what's working.

Generic outputs

Off-the-shelf AI gives the same answers to you and your competitors.

No clear starting point

Too many possible use cases, and no way to tell which one pays off first.

The advantage isn't the model. It's what your team knows.

Every company can buy the same AI models your competitors use. What they can't buy is how your team works: the way your top rep qualifies a deal, how ops handles the messy exceptions, what your support lead knows that isn't written down anywhere.

The companies pulling ahead aren't picking better models. They're capturing that know-how and building AI around it, so every person and every agent gets a little better each time the work gets done. And because it's built on your knowledge, not a vendor's, you keep it. Swap models next year and the expertise stays.

The loop

Your team's judgment

What your best people know and do

⇄ gets sharper with every use

AI that learns it

Tools and agents you own and control

From mandate to momentum in four steps

We start by understanding the work, not by picking tools. That's how you avoid another stalled pilot.

01

Map the work

We sit with your team and learn how work actually gets done: where time goes, where judgment matters, where things fall through the cracks.

02

Find the payoff

We rank the opportunities by impact and effort and hand you a prioritized AI roadmap, so you know what to do first and what it's worth.

03

Build what you own

We design and build the workflows, tools and agents, wired into the systems you already use and trained on how your team works.

04

Make it compound

We set up simple ways to measure what's working and feed your team's corrections back in, so the system gets better every month instead of going stale.

What this looks like in your business

A few examples of where growing companies are getting real leverage. Yours will depend on what the roadmap turns up.

For The work today With AI built on your team's know-how
Sales & GTM Reps spend hours researching accounts and writing first-touch emails from scratch An account-prep agent that pulls CRM, web and call notes into a brief written the way your best rep would
Customer success Support knowledge lives in a few senior people's heads An assistant that answers from your real playbooks and flags the cases a human should handle
Operations Weekly reporting means pulling numbers from four systems by hand Automated reports and alerts that explain what changed, not just what the numbers are
Leadership Client and team feedback piles up faster than anyone can read it An agent that scores and summarizes feedback so you see what matters first
Onboarding New hires take months to learn "how we do things here" Your processes captured once and available on demand, to people and agents alike

Operators first. Engineers always.

We've sat in your seat.

Our partners helped build and scale HubSpot, Dockwa and EdX. We've owned the targets, made the hiring calls and felt the pressure to move faster. We start from the business outcome, not the tech.

AI on a clean foundation.

Bolting AI onto messy systems just automates the mess. We're software engineers first, so what we build is solid, secure and maintainable long after the demo.

You own it.

Your workflows, your data, your IP. We design so you can change models or vendors without losing what your team has built in.

Close to home.

We're based in Maine and work with companies across New England. When you need to sit down and work through it, we're in the room.

Start with an AI Roadmap Session

In [one half-day working session], we map how your team works today and where AI will pay off first. Within [X business days], you get a prioritized roadmap you can act on, with us or without us.

What you get

  • — A map of your highest-leverage workflows and where time and judgment go today
  • — Ranked AI opportunities, scored on impact, effort and risk
  • — A recommended first build, with scope, timeline and rough cost
  • — A clear view of what you already have that AI can learn from, and what's missing

Investment

[Price, or "Fixed fee, credited toward your first build"]

Book an AI Roadmap Session

Questions

Are we already too far behind?

No. Most companies your size are still in the experimenting phase. The ones that pull ahead aren't the earliest. They're the ones who stop experimenting and build around what makes them different. That can start this quarter.

Do we need engineers on staff to do this?

No. We bring the engineering. If you do have a team, we work alongside them and leave them able to run and extend what we build.

What about our data and security?

We design so your data stays in systems you control, and we're explicit about what does and doesn't go to an AI provider. [Add specifics you're comfortable committing to.]

What happens when a better model comes out?

You switch. We build so the model is swappable, and the part that matters (your team's knowledge and workflows) stays yours.

Isn't this just buying an AI tool?

Tools are part of it, and we'll tell you when off-the-shelf is the right answer. The difference is fitting AI to how your team works, rather than reshaping your team around a tool.

Turn your AI mandate into an advantage your competitors can't copy.

Let's map where your team's know-how can become AI that gets better every month, and decide together what to build first.