Building the proof. In public.
We are onboarding a small number of early clients on a free pilot basis. They receive the full managed AI Employee. In return, we document what moved and publish it as a case study, with their approval.
There are no fabricated logos here and no invented metrics. The results page will be built from real deployments, real before-and-after data, and named clients who chose to participate. Until those case studies exist, this page says so plainly.
Four steps from introduction to live results.
Pilot clients are not beta testers. They receive the same managed service as paying clients. The exchange is documentation, not a discounted or partial version of the work.
We scope the work together
On a 30-minute call you walk us through the workflows your team repeats most. We identify the clearest starting point for an AI Employee and confirm the systems it will connect to.
First AI Employee live in under 48 hours
We build and deploy the first workflow. You see the employee running in your stack before the week is out. We handle the setup, not you.
30-day onboarding closes every loop
Over the next 30 days we wire in the remaining workflows, run review sessions, and adjust until the operating model is solid. Ongoing changes are included.
We publish the results, with your permission
Pilot clients receive the full managed service. In return, we document what the AI Employee owned, what moved, and what the before and after looked like. You review and approve the case study before it goes anywhere.
The full managed service. Not a preview.
Pilot clients receive unlimited agents, unlimited usage, monitoring, support, and ongoing changes. The program exists to earn case studies, not to limit delivery.
Full managed AI Employee
The same service offered to paying clients: unlimited agents, unlimited usage, monitoring, support, and ongoing changes. Nothing is withheld for the pilot.
48-hour first deployment
The first workflow is live before the week ends. You do not wait for a lengthy setup phase before seeing work happen.
Case study, your way
We document what the AI Employee did and what changed. You review every word before publication. If you are not comfortable with a detail, it does not appear.
Named partner priority
Pilot clients are named in published results, which builds public credibility for their firm. You choose how you want to be identified.
An AI Employee is judged on business outcomes.
These are the standard metrics the case studies will report on. They are not claimed results. They are the categories we track from day one so the before-and-after is legible when the study is written.
- Loops closed
- Follow-up sequences, intake flows, and coordination tasks that previously stalled are completed without manual intervention. The measure is how many open items reach resolution vs. how many stayed open before.
- Response speed
- How quickly the business responds to inbound leads, client questions, and internal requests. Faster response is a direct input to revenue, and it is measurable from system logs.
- Record quality
- CRM (Customer Relationship Management) entries, case notes, and pipeline records that are complete and current vs. sparse and outdated. Cleaner records reduce the cost of every human decision that follows.
- Revenue movement
- The volume and speed of deals, engagements, or orders that move through the pipeline. The AI Employee is not the only variable, but its contribution to pipeline velocity is trackable.
A small number of spots. No queue.
Keeping the pilot small keeps the delivery quality high. We are not running a large-scale beta. Each client gets direct attention from the people doing the work.
If the conversation goes well, we move fast. The first AI Employee is live in under 48 hours. The call is the start of the scoping conversation, not a sales pitch.
If the pilot is full when you apply, you will hear that on the call and we will be straightforward about the timeline.
Early-access pilot
Apply for a pilot spot on the call.
Tell us the industry and the workflows your team carries. We will scope the AI Employee that fits the job and confirm whether the pilot is a fit.