Manager's assistant
Suggests answers, finds information, drafts messages and helps keep track of each customer's context.
- Draft replies
- Product guidance
- Enquiry history summary
AI assistant · knowledge base · leads
An AI assistant that helps your team work within clear processes
LCS designs and implements internal AI assistants for business: document search, answers for managers, lead handling, summaries, reports and integrations with Telegram, WhatsApp, CRM and spreadsheets.
Start with one assistant role and 1-2 knowledge sources. This keeps the pilot manageable.
Assistant roles
What an AI assistant can do for your company.
An assistant works best with a defined role and results you can verify, rather than trying to do everything at once.
Knowledge base search
Answers questions about procedures, instructions, FAQs, contracts, commercial terms and internal documents.
- Answers with source references
- Search across PDFs, Docs and spreadsheets
- Separate access permissions
Lead dispatcher
Classifies incoming enquiries, flags urgent ones and suggests an owner and next step.
- Categories and priorities
- Routing
- Telegram notifications
Executive assistant
Prepares brief summaries of leads, sales, tasks, statuses or exceptions without manual data collection.
- Daily or weekly summary
- Exceptions and risks
- Brief management insights
Employee onboarding
Helps new staff find instructions, understand processes and ask questions without interrupting experienced colleagues.
- Process FAQs
- Procedure search
- Knowledge freshness checks
Internal IT assistant
Helps with common IT questions, service statuses, instructions, access and support requests.
- Instructions and checklists
- Statuses and requests
- Engineer handover
Where to start
Start where knowledge already exists but is difficult to use.
Scattered documents
Instructions, PDFs, contracts, FAQs and spreadsheets exist, but staff waste time searching or asking colleagues.
Repetitive customer questions
Customers ask many similar questions whose answers depend on procedures, pricing or terms.
Leads arrive through different channels
Email, the website, Telegram, WhatsApp, CRM and spreadsheets create noise, and statuses get lost.
Managers need brief summaries
They need a clear summary of what happened, what is urgent and what needs a decision, rather than a raw export.
Process
How we launch an AI assistant with clear boundaries.
First we define the scope, then connect knowledge, integrations and oversight.
01
Role
Define who the assistant helps and with which questions.
02
Sources
Gather documents, FAQs, spreadsheets, CRM data or enquiry history.
03
Boundaries
Set up access permissions, restrictions, human review and logs.
04
Pilot
Launch a focused use case and test it with real questions.
05
Support
Update knowledge, improve answers and add integrations.
FAQ
Frequently asked questions about AI assistants.
What do we need to start?
One clear use case and a small set of sources: FAQs, instructions, documents, spreadsheets, CRM or enquiry history.
Can we start without a perfect knowledge base?
Yes, but some work will go into making the knowledge usable. This is often more useful than connecting AI to disorganised data straight away.
Where will the assistant work?
Depending on the task: Telegram, a website, an internal interface, CRM, spreadsheets or a combination of channels.
Can the assistant be prevented from making decisions?
Yes. The assistant can draft replies, suggestions and summaries, with a person approving final actions.
A pilot with limited risk
Start with one AI assistant for one role.
Tell us who the assistant should help: a manager, executive, support, HR, IT or operations team. I will suggest a safe starting scope.