Format 03 · Full coverage
AI Employee Pro: an entire AI department instead of several staff roles
When the routine is spread across several processes at once, for example a Hunter finding customers, a Sales Rep running the deal and an Analyst tracking metrics, one AI employee can't cover the whole picture. Pro is several of these roles working in parallel as one department, with shared data and coordinated scenarios.
AI department: first results in 4–6 weeks
What's included
Several roles working in sync
Pro isn't several Starters placed side by side: the roles share customer data and follow one scenario, like a well-coordinated department.
2–4 roles in parallel
For example: the Hunter finds and qualifies leads, the Sales Rep runs the deal and checkout, the Assistant takes inquiries and books customers, and the Analyst tracks conversion and bottlenecks in real time. The whole department works at the same time, not in turns, and nobody waits on anyone.
Shared customer record
Every role sees the inquiry history: customers never have to repeat what they already told another AI employee in the department.
Hand-offs between roles
An inquiry that reaches payment is automatically passed to the documents role, with no manual switching between systems.
Unified department reporting
Metrics for every role (inquiries, conversion, response time) come together in one report instead of being scattered across tools.
Flexible role mix
The set of functions is chosen for your business: it doesn't have to be sales and service, it can be any 2–4 processes that need covering at once.
Management oversight
You see the department's work as a whole: which roles handle things on their own and where you need to step in, without managing each AI employee separately.
Who it's for
When the routine is spread across several processes
What it means in practice
The impact of a whole department, not one role
Figures are approximate: the exact impact depends on the number of roles and the volume of work.
The difference in practice
Several disconnected tools vs. one AI department
How we launch
Five steps to a working AI department
Department makeup
We decide which 2–4 roles to cover together and how they connect in your actual process.
Shared data model
We design what customer and inquiry information every role in the department can see, so nothing is repeated and no context is lost.
Scenarios for each role
We define the conversations and hand-off rules between roles: what each role does and when the next one takes over.
Trial period
We launch the department in a limited mode, review real scenarios and fine-tune the hand-offs between roles.
Full launch and reporting
We move the AI department into permanent operation and set up a single report covering every role's metrics.
Why an AI department, not several new hires
It replaces not one position but several at once
The Pro AI department takes over the work of several staff roles at once, with all the advantages of an AI employee over a human hire, multiplied by coordination between roles.
FAQ
Pro in brief
Several independent Starter AI employees each follow their own logic and don't know about each other. In Pro, the roles share customer data and pass inquiries to each other automatically: it's one coordinated AI department, not a set of isolated bots.
Usually 2–4 roles, which is enough to cover the core routine without unnecessary complexity. If you have more business lines and the work goes beyond one department, it's usually Custom.
Yes, it's a common path: we launch one role, see the results, then add neighboring roles and connect them into one department, with no need to rebuild the part that's already working.
The price depends on the number of roles and how complex the connections between them are; there's no fixed rate on purpose. We give you the exact figure after reviewing the task, and if you're not sure Pro is the right fit, start with the AI Opportunity Audit.
We can connect to the CRM or spreadsheet you already use, but with several connected roles a CRM built for your specific process usually works more precisely and conveniently than adapting an existing system. We build that ourselves too, as part of the implementation.
If the routine is spread across several processes at once, let's discuss the right AI department for your business.