Massachusetts · Applied AI
AI strategy in Boston
AI roadmap + plan – wired into a Boston workflow, not bolted on the side.
What AI strategy actually does
A clear-eyed AI roadmap built for your business – not a generic deck. We sit with your team, map the high-value plays, and write the build order. You leave with a plan you could actually start tomorrow.
The reason we take on work in Boston is that the businesses here tend to be sharper about what they want than the brief lets on. AI strategy for a Boston team almost always ends up looking different to AI strategy for a downtown Auckland one.
- 01 On-site discovery with the people doing the work
- 02 Ranked initiatives with ROI, effort, and risk
- 03 Tool selection – not married to any vendor
- 04 Phased 90-day plan you can execute or hand off
Built on: Claude Notion Miro Linear
Why Boston businesses choose this
Boston runs on biotech, higher education and finance, with more PhDs per capita than almost anywhere in the country – AI here has to earn trust from a genuinely technical audience.
What Boston teams tell us when they get on a call.
A world-leading biotech and pharma cluster, a huge concentration of universities and hospitals, and a mature financial services industry. Boston businesses expect AI claims to be backed by something more rigorous than a demo.
We work with teams across Boston: Back Bay · Cambridge · Seaport · Somerville · South End · Kendall Square.
How we build AI strategy for a Boston team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Boston business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.
AI roadmap + plan.
The outcome for Boston teams
Most plans pay for themselves in the first build. For Boston teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
Most plans pay for themselves in the first build.
AI strategy in Boston – common questions
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
What's the smallest engagement you'd take on?
A two-week paid discovery for Boston businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Do you have proof this works for Boston businesses?
Direct case study: Most plans pay for themselves in the first build. Happy to walk you through full numbers on a call.
What tools do you build AI strategy on?
For AI strategy we usually reach for Claude, Notion, Miro, Linear. We're tool-agnostic at heart – we pick what your Boston team can actually run after we hand the build over, not what looks good on a vendor sticker.
Sketch this with us.
We'll map your real workflow before quoting anything.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.