We run a managed AI Employee, not a tool you operate.
You describe the work that needs to happen. We build the digital employee, connect it to your systems, keep it running, and improve it as your operations shift. The value is business movement, not a platform to manage.
First employee live in under 48 hours.
We move fast on setup and spend the first month making the employee genuinely useful, not configuring it forever.
Scoping call
We map the workflows with the highest operational load: intake, follow-up, reporting, coordination, documentation. You tell us what keeps the team behind.
First AI Employee live in under 48 hours
We scope, configure, and connect the first agent to your real tools and context. You do not wait weeks for a proof of concept.
Fully onboarded in about 30 days
Over the first month we expand coverage, refine behavior against live outcomes, and hand back a digital employee that knows your business.
Ongoing
The employee stays current as your operations shift. Changes are included. You review outcomes. We keep the work moving.
Build, run, monitor, support, improve.
Every part of operating a digital employee is on us. You do not learn a platform, manage integrations, or carry the upkeep.
We build it
We scope the workflows, configure the agents, and connect them to your existing systems. You describe the work. We do the setup.
We run it
The AI Employee operates continuously. It does not have office hours, forget context, or need someone to click the button each time.
We monitor it
Every live workflow is watched. If something stops working, we know before you do. Monitoring and alerting are part of the subscription.
Security built in
Security is not an add-on. Every workflow runs with access controls, credential isolation, and the same standards we would apply to a sensitive internal system.
We support it
When the business changes a process, we update the employee. You do not manage a ticket queue. Support and ongoing changes are included flat.
We improve it
As the employee runs, we tune performance against real outcomes. You point us at the metric that matters and we iterate toward it.
Point it at the work. Review outcomes.
You identify the workflows that carry the most operational load: follow-up, intake, coordination, reporting, documentation. We build the employee around those specific jobs.
Once live, your role is reviewing outcomes. Did intake move faster? Did follow-through close more loops? Did the operational load on the team actually drop? That is the measure, not a platform dashboard.
When a process shifts, you tell us. We update the employee. The business does not start over.
The short answers.
- What do I actually have to do?
- Point the employee at the work and review outcomes. The setup, monitoring, security, and maintenance are on us. You do not operate any tooling.
- How fast does it go live?
- The first AI Employee is live in under 48 hours. Full onboarding across your tools, context, and review workflows takes about 30 days.
- What if a workflow breaks?
- Monitoring is built in. We receive alerts and resolve issues before they affect downstream work. You are not responsible for keeping it running.
- Does security mean anything here?
- Yes. Each workflow runs with isolated credentials and access scoped to exactly what it needs. We apply the same discipline to your data that a responsible internal IT function would.
- Can the employee be updated when processes change?
- Ongoing changes are included in the flat subscription. When your operating model shifts, you tell us and we update the employee. Nothing is locked.
- What does business movement mean?
- The value we measure is operational. Fewer open loops, faster follow-through, cleaner handoffs, better records. Not a report of hours. Real business movement.
Managed service
Ready to see what the first AI Employee would cover?
Tell us the industry and the workflows that carry the most load. We will map the employee that fits the job and move fast on setup.