01
The same questions
Experts and managers repeat standard answers instead of handling complex cases and growing the business.
Custom AI employees for business
Build an AI employee that takes routine work off your team
Answers from your knowledge. Works with your data. Completes the actions you allow.
So your team stops spending hours on the same questions, hunting for information, booking clients, and copying data between systems. You set the rules — AI does the work and hands complex cases to a person.
Your roleYour knowledgeText and voiceAllowed actionsVisible results
The business pain
Routine work steals time from people who should solve hard problems
The team answers the same questions again, searches across files, and manually copies the result into a calendar or CRM. People are overloaded, while customers and tasks wait.
02
Knowledge is scattered
Policies live in documents and spreadsheets, so speed and quality depend on whoever happens to answer.
03
The process stops short
The answer is given, but the booking is not created, CRM is not updated, and the next step is never assigned.
The solution
An AI employee does not just reply — it finishes a standard task
Braincore combines knowledge, communication rules, data, and actions in one role. That is why AI knows what to do, what to rely on, and where to stop.
Answers by your rules
Follows the role, policy, tone, and limits defined by the company.
Finds the right knowledge
Uses websites, documents, and project facts so an employee does not have to search manually.
Works with tables
Looks up and matches structured data available to that specific role.
Talks in text and voice
Uses the same logic and knowledge in chat and on a phone call.
Takes the next step
Works with calendar, CRM, and connected systems within the permissions you grant.
Shows what it did
The team sees the conversation, tools used, errors, cost, and the moment a person was brought in.
How to start
Launch an AI employee on one task
Pick repeating work, set the rules, and verify the result before connecting it to a live channel.
- 1
Choose a task
One repeating job with a clear outcome.
- 2
Set the rules
What to do, what is forbidden, and when to call a person.
- 3
Add knowledge
Company documents, websites, facts, and tables.
- 4
Test it
On real requests before go-live.
- 5
Launch
Assign a channel and improve from the errors you find.
Flexible automation
Automate work the way your team actually works
For each role, choose the level of independence: from helping an employee to completing a standard task end to end.
Helps an employee
Drafts a reply, finds data, or suggests the next step — a person still decides.
Acts after approval
Prepares the required action and runs it as soon as the owner confirms.
Completes the task itself
Takes a standard job in full and performs only the actions you already allowed.
Where to start
Give AI one concrete job
This is not a closed set of templates. Pick a repeating task, define a good outcome, and assemble a role around your process.
Shorter queues
Support specialist
Takes standard requests off the team and hands complex cases to a person with full context.
Read more
Less manual booking
Booking administrator
Answers questions, offers available times, and does not leave a booking unfinished.
Read more
Faster answers
Knowledge specialist
Finds answers in documents and tables so people do not search manually.
Read more
Fewer lost leads
Sales manager
Does not let a lead wait: replies, clarifies need, and records the next step.
Read more
Case studies
The work AI already takes on
Each case study is a concrete task, a configured role, and a result for the team.
01
Dental clinic
China Dent
An AI manager for the initial consultation and preparing the patient for an appointment.
Problem
Enquiries from messengers and the website were handled with delay, and some contacts were lost before the first reply.
What AI does
The AI manager answers typical questions, collects symptoms and contact details, offers an appointment, and hands a prepared patient to the administrator.
Result
Initial handling continues without pauses, and the administrator joins an already warm enquiry.
Read more
02
Tour operator and excursions
Golden Key
Handling evening enquiries and preparing a booking request.
Problem
After the office closed, enquiries went unanswered until the next day.
What AI does
The AI manager advises on excursions, clarifies dates and group composition, helps choose an option, and records the request.
Result
Enquiries are handled immediately, and the manager receives a structured booking request.
Read more
03
Education
UAV operator training
Advice on programmes and qualification of prospective students.
Problem
The team received many similar questions about the programme, preparation, and upcoming intakes.
What AI does
The AI manager answers from the knowledge base, helps choose a course, and leads to a trial lesson or consultation booking.
Result
The manager receives an enquiry with a clear level of preparation and training goal.
Read more
04
Hospitality
Countryside glamping
Replying to guests outside working hours and collecting booking details.
Problem
Guests wrote in the evening and at weekends, when a manager could not reply immediately.
What AI does
The AI manager clarifies dates, number of guests, and preferences, then helps move on to booking.
Result
The first reply does not depend on the manager’s schedule, and the request arrives with the key trip details.
Read more
Guides
How to launch an AI employee without expensive mistakes
Short and practical: which work to hand to AI, how to limit actions, and what to verify before go-live.
Fundamentals
What an AI employee is and how it differs from a chatbot
A practical definition of a custom AI employee, how it is built, what it can do, and where its limits are.
Read more
Sales and CRM
How an AI manager works with CRM: from the first message to a deal
A step-by-step scheme of how an AI manager works with conversation, qualification, and CRM actions.
Read more
Voice
Voice AI employee: scenarios, limits, and launch
What a voice AI employee can do and how to introduce AI calls safely.
Read more
Next step
Which task takes hours from your team every week?
Start with that one. Describe a good outcome and give AI the knowledge it needs — you can test the first role on real requests before connecting it to the live process.