Solutions
Forward Deployed Specialists
AI operators for the teams that run the business.
Not every AI problem is an engineering problem. Forward-deployed specialists embed with your operations, finance, and support teams — the people who actually run the business — to redesign how work gets done around AI.
They sit with your team, map how work really happens, put AI into the daily workflow, and stay until the new way of working sticks without them.
Why AI adoption stalls
outside engineering.
The process lives in people's heads
The way work actually gets done isn't written down anywhere. You can't automate a workflow no one can describe.
Tools get bought, not adopted
The licenses exist; the usage doesn't. Software that asks people to change how they work fails without someone driving the change from inside.
Reports recommend, nobody implements
The assessment named the opportunities and the consultants moved on. Twelve months later the workflows look exactly the same.
Every team automates alone
One analyst has a clever script, another team pays for a tool, a third does everything by hand. Nothing compounds because nothing is shared.
What they actually do
with your team.
Specialists work where the work happens. The output isn't a recommendation — it's your team, running a better process, with AI doing the parts it should.
Map the real workflow
Sit with the team, shadow the work, and document how it actually flows — including the workarounds and tribal knowledge nobody wrote down.
Redesign around AI
Rebuild the process around what AI does well and humans do better, instead of sprinkling tools onto a broken workflow.
Deploy into daily tools
Copilots, automations, and assistants wired into the systems your team already lives in — not another tab nobody opens.
Write the operating playbook
SOPs, escalation paths, and quality checks for the new process, written so the next hire can run it without a walkthrough.
Train until it sticks
Hands-on sessions with the people doing the work, repeated until the new workflow is the default — not the exception.
Measure honestly
Adoption, cycle time, and error rates tracked before and after. If something isn't working, you hear it from us first.
The engagement arc
Week 1–2
1. Embed & map
Specialists join the team, shadow the work, and document how it really happens. By end of week two we agree on which workflows to transform and what success looks like.
Week 3–8
2. Redesign & deploy
New workflows go live incrementally, with AI wired into the tools your team already uses. Weekly check-ins measure adoption, not sentiment.
Week 9–12
3. Transfer & step back
Playbooks are finished, team leads run the process themselves, and we step back gradually — staying available until the numbers hold without us.
Who this is for
Operations leaders buried in manual work
Your team's week disappears into copy-paste, reconciliation, and status-chasing. Most of it can be redesigned away — with the team, not to them.
Companies standardizing after a deal
Post-acquisition, every unit does the same work differently. Specialists converge them onto one AI-enabled process while the integration clock is running.
Leaders with shelfware AI
You bought the tools; adoption never came. We find out why, fix the workflow underneath, and drive usage until it's habit.
Put AI to work where the work happens.
Tell us which team is drowning. Within a week, a forward-deployed specialist is sitting with them — priced on outcomes, not hours.
Let's talk →