You have a plan. We build it. The systems go live, the team comes along, and the work gets faster because your people get hours back and use them on work that needs their judgment.
The gap between the plan and the work
You have the strategy. Maybe a deck, maybe a roadmap, maybe a pilot that looked great in the demo. Then it stalls. The deck sits in a drawer. The pilot never spread past the two people who built it. The tool you bought for everyone is paid for and nobody opens it.
This is the most common place we see firms get stuck: between Pilot and Integration, with a few experiments running, some leadership awareness, and nothing embedded in how the work gets done. At one mid-market engineering firm, the licenses were in place and the training had run, yet only about one in ten people were really using the tools. The software worked. The work hadn't changed, because no one owned the part where it does.
The plan tells you what to build. Somebody still has to build it, test it on real work, and get people using it, and that is the part where the stall happens.
What implementation looks like with us
We do the work in the plan with you. We pick the highest-value workflow, redesign how it runs with AI in it, stand up the tools, and get your team using them on live proposals and project files, with the people who own that workflow in the room.
The team comes along as we go. People who own the workflow are in the room while we build it, so the system fits how they work and they trust it by the time it goes live. Adoption is part of the build: training goes on the calendar before launch, and the AI step is written into the SOP.
"Done" has a definition. The AI step lives in the SOP. Training is on the calendar. In the Pacemark model, that is the point where the workflow runs with AI in it as standard practice.
The human side
This is where implementations most often go wrong in our experience, and it's the part we score equally.
A tool nobody adopts returns nothing. The firms we have seen get a return point AI at the work their people couldn't get to before, so the team can do more than it could last quarter. The work it takes off their plate is usually the stuff they didn't love anyway.
We describe how people use AI at five levels, from Non-User through Curious, Practitioner and Builder to Architect, and we track where your team sits on it through the build.
More on how we bring people along in the AI change management piece.
The methodology: Pacemark
In a full engagement, we bring together interviews and supporting evidence to assess the firm across six dimensions: Strategy & Leadership, People & Culture, Data Readiness, Workflows & Operations, Technology Infrastructure, and Governance & Ethics. We use five levels to describe the profile, from Ad Hoc and Pilot through Integration, Acceleration and Transformation.
The model is built from published research on more than 400 named firms and organizations (evidence and limitations).
Pacemark includes People & Culture alongside technology. During a build, we work with the people who will use the workflow and agree on how we'll judge whether the result is useful.
During implementation, we can test a workflow within a defined scope, compare it with your current approach, and examine whether your team can use the result. See the framework at pacemark.ai, or run the free Signal Scorer to see where your firm stands today.
Free · 8 min
See where your firm stands with AI
Twenty-five questions give you a reported profile across six dimensions and an area to examine with your team, in about 8 minutes. To see your result, you provide contact and firm details at the end and sign up for follow-up emails. Each email includes an unsubscribe link.
Start the assessment →Free assessment
Find out where you are with AI
In about 8 minutes, you can see your reported profile across six dimensions and a proposed experiment. To see your result, you provide contact and firm details at the end and sign up for follow-up emails. Each email includes an unsubscribe link.
Take the assessment →Free · 8 min
Where does your firm stand with AI?
In about 8 minutes, you can see your reported profile and an area to discuss with your team, shown on screen. To see your result, you provide contact and firm details at the end and sign up for follow-up emails. Each email includes an unsubscribe link.
See your score →Proof
At Keller, the build started with the people who already do the work. I sat with engineers and staff across the firm to learn how the work runs before recommending anything, then handed leadership a prioritized plan and the guidelines to put AI to work responsibly, without cutting the licensed review their projects depend on. One of those engineers, a board treasurer, put it this way:
"The way Dan framed it has stuck with me: AI is like another EI (engineer-in-training). It does real work and saves real time, but a licensed engineer still reviews it and approves it. Dan sat down with many of us across our firm and learned how we actually work before recommending anything. Then he gave us a prioritized plan and the guidelines to adopt it responsibly. It was the right approach for us, and helped us get buy-in on using AI throughout the firm."
Eric Roundy, PE, BCEE
Senior Wastewater Engineer & Board Treasurer, Keller Associates
That's the work: find the people who already make it run, build with them, and the rest of the firm follows.
Read the full engagement: how Keller Associates got its AI roadmap.
Who this is for
This fits architecture, engineering, and construction firms, and professional-services firms, in the $20–100M range, led by a founder or CEO who can make the call, and who already has a plan and wants someone to build it.
If you're still working out the plan, start on the AI strategy consultant page. If you want a single tool installed with no one bringing your team along, I'm not your consultant.
Engineering or construction firm? Start at our E&C page— same method, your language.
Questions
What do you build?
The working version of your plan: redesigned workflows with AI in them, the tools that run them, and the team trained to use them. We start with the one project that pays off first, then move to the next.
How long does it take?
The first build takes eight to sixteen weeks. We scope it against the plan so you know the timeline and the cost before we start, and you see something working early.
How do you handle adoption and training?
The people who own the work help design the system, training goes on the calendar, and the AI step gets written into the SOP. We measure where each person on your team sits on the five-level scale at the start, and we track their progress through it.
Is this a hand-off or a retainer?
Either. We can build the system, hand it over, and step out. Most firms keep us on a Retainer as the work spreads to the next project and the next team, because that's where the gains compound.
Do I need the roadmap first?
If you already have a plan, we can start from it. If you don't, the AI strategy consultant engagement builds one first. We build from the plan, which tells us what to build and in what order.
Ready to build it?
Book a 30-minute call. We'll talk through your plan, where it's getting stuck, and whether the Build is the right next step.
