Why does this cost money when everyone else does discovery for free?

Free discovery produces a scope built on guesses, and you pay for the guesses later. Paying for it gets you four deliverables you keep, real access to your systems and the people doing the work, and a build quote that came from evidence rather than from an hour on a call.

How long does the sprint take?

Three weeks, billed up front. The build phase is scoped and priced separately, from what comes out of the sprint.

AI Strategy Sprint

Without a map, you're just wandering

Q: Who needs to be in the room?

Whoever approves the build, plus two or three people who actually do the work being examined. That's not a preference. Without the approver in the room the plan has no owner and it dies in the budget conversation.

Q: What if the answer is that we're not ready?

Then that's the deliverable, and it's worth more than a roadmap you can't execute. The readiness assessment exists to say that out loud.

3-week engagement to map your AI opportunities, assess your readiness, and scope/price a 90 day roadmap based on your business objectives.

See If We're a Fit

Trusted by

Everyone is scrambling to figure out AI. We can help.

What we hear

What we think

“We don't know where to start”

Most companies don’t. Start with your business goals. This is a business question, not a technical one.

“I'm not technical enough to navigate this”

You shouldn’t have to be. Hand it to a team that does this every day.

“We’re making good progress with Claude”

Great, keep going. We'll secure & stabilize your progress or build the next layer of advanced tech.

“We don't have anyone to hand this to”

Hiring an AI team is expensive and hard to retain. That’s why we exist. You keep your focus.

“Every vendor is promising the world”

They are. Most AI firms are run by technologists. We’re business people who happen to deploy technology.

how it works

how we’ll jumpstart your ai roadmap

Efficient Process

You have a day job, so we run a tight ship over three weeks to dive into your business, processes, systems, data, and people.

Readiness Assessment

We look at your systems, data, and people to see what’s in place, what’s missing, and what would have to change before anything gets built. If you’re not ready yet, we tell you.

Opportunity Map

Every AI idea on the table, ranked by what it’s worth and how buildable it is with what you have today. You see which ones pay off soon and which need groundwork first.

Roadmap

The order to build in, with the dependencies spelled out. Some projects unlock others, and doing them out of order wastes money.

Outcomes & Budget

A price and an expected return for each project, so you decide what to build first with real numbers in hand.

Sample pages from an AI Strategy Sprint deliverable

this ain’t our first rodeo

Your tech stack is our day job

Identity, security, networks, and the systems your business actually runs on. AI has to land inside that environment, and it's the environment we work in every day.

Operator-led and engineer-built

Pointing AI at the wrong problem is the most common failure. Strategists set the scope, engineers build it, and neither job substitutes for the other.

Governance is standard practice

Permissions, data handling, retention, and policy are how we already work. AI gets deployed inside real controls rather than around them.

Enablement at the center

The best build is worthless if nobody knows how to use it. Training is in every engagement from the start, because adoption is what determines the return.

Often paired with:

Workforce+

AI & Workflow Automation

Launch

We take our own medicine

We don't just build agents for clients, we run them ourselves. Our service desk takes in hundreds of tickets a week by email, portal, phone, and monitoring alerts, and one person triaged and routed most of them by hand. About 42% got reassigned at least once. We built four agents on one shared data layer: they triage each ticket, route it to the right tech, assist inside the ticket, and learn from every correction. It went live in about three weeks.

9 min → real time

time to triage

~2,500 hours

returned per year

No backfill

role covered without a new hire

Practical resources

Use the playbooks we use to plan better technology

For Series A teams

IT Playbook for Startups

What to prioritize, what to defer, and how to build a foundation that holds through the next stage of growth.

Read the Playbook

For expanding footprints

IT Design/Build: Wired for Growth

Network standards, hardware, procurement, rollout sequencing, and operations across locations.

Read the Playbook

For project teams

New Location Cheat Sheet

Straight to the point mega page for everything you need to think about when opening a new location.

Read the Cheat Sheet

common questions

Before we talk, here's what most teams want to know.

Is this just a discovery call?

No. It’s a deep dive into your business, systems, processes, people and readiness. You walk away with process maps, an opportunity map and a readiness assessment you keep, whatever you decide next.

Who needs to be in the room (virtually)?

The boss, and the people who do the work. The boss because this is about hitting business goals, not just deploying technology. The people doing the work because they’re the ones who make it deploy well and actually get used.

What if the answer is that we’re not ready?

Almost everyone is ready for something. We’ll be straight about what you’re ready for and what you’re not. Deploying technology nobody adopts is a bad return for everyone, including us.

Our systems and data are a mess. Is that a problem?

That’s normal. Often the first step is data and system integration, the foundation AI and automation sit on. We can run self-contained quick wins in parallel, so your team sees results while the foundation gets built.

3 weeks from now you could have a plan

Tell us what you've already tried and what you're under pressure to figure out. We'll tell you whether a sprint is the right next move.

See If We're a Fit