Implementation over advice
We're judged on systems running in production, not on the quality of our slides. Every engagement ends with something live.
the platform
What you get Who works for you What it connects to How you stay in controlmeet a few
Ad monitorstops the ad that is bleeding, before you open the account Shopify managerfound 340 customers who bought once and never came back Outreach employeewakes the leads that went quiet Email employeereads 142 emails, hands you the 9 that need you The full roster →by domain
Strategy & Intelligence Marketing & Growth Sales & Revenue Operations Customer Operations Commerce & Supply Chain Operations & Delivery Finance & Backoffice People & Organisation Oversight & compliance Data & knowledge All use cases →spotlight
142 mails came in. It handled 128 on its own, put 9 drafts in front of you and passed 5 to a colleague. That was one Tuesday.
One employee · an ordinary day
Open its file →Every digital employee has one job, a name, and a file you can open. You see what it did, what it decided, and the rules it worked inside, all of which you set.
the process
The scan & workflow mapping Role selection & configuration Build & integration Controlled go-live Monitoring & tuningspotlight
Almost everyone starts at “it advises”: it prepares the work and waits for your yes. You move the dial when you trust it, and you can move it back.
Autonomy · on your terms
How control works →From the first scan to the day it runs by itself. We map the workflow, build it inside the tools you already use, and stay on it after go-live.
spotlight
Not pilots, they run every working day on real work, and you can ask them about it.
Worked-out scenarios · a call with a client on request
Read the cases →We are an implementation studio, not a software vendor. We build the employee, connect it to your systems, and keep it running afterwards.
10about aimplement
AImplement is an AI implementation studio. Our mission: digital employees that make teams faster, sharper and less dependent on repetitive manual work, implemented, monitored and measurably useful.
→why we exist
Every operational team we meet has the same shape of problem: capable people spending a serious share of their week on work that repeats, sorting requests, updating sheets, moving data between tools, building the same report again.
Meanwhile the AI market offers two extremes: strategy decks that never ship, and loose tools that help one person a little. We built AImplement for the gap in between: implementing AI as a colleague, with a role, boundaries, oversight and a number attached to its output.
That means we say no to projects that don't have a measurable workflow at the core. It means every employee ships with an approval layer, a log and a monthly report. And it means the humans on your team end up doing more of the work only humans can do.
Not replacing teams. Giving them leverage.
→operating principles
We're judged on systems running in production, not on the quality of our slides. Every engagement ends with something live.
Focus beats transformation programs. One workflow, proven end to end, earns the next one. And compounds from there.
Approval gates, logs and stop buttons are not features we upsell. They're the default in every implementation.
If a workflow isn't a good automation candidate, we say so in the first call. A wrong pilot costs us more than a lost deal.
→how we work
No account manager, no layer in between, no off-the-shelf software. Every digital employee is built by hand on your real work. The person who maps your workflow is the person who builds it, and the person you call when something breaks.
The same person from the first call to production. Maps the workflow with you, decides with you what the employee may do on its own, and stays reachable after go-live.
Built by hand, connected to the tools you already use, and tested against your real cases. Fixed when something breaks.
30-45 minutes · discuss one concrete workflow
→common questions
A builder with a consultant's discipline. We advise during mapping, but every engagement ends with a working system in production, that's what we're judged on.
The people who build it, directly, from the first call to production. Everything is built by hand on your real work, no off-the-shelf software and nobody sitting between you and the build.
We remove repetitive work, not people. Every implementation is designed as leverage for the existing team, humans keep the judgment, relationships and final say.