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AI implementation scenarios

AI implementation scenarios: 4 scenarios for business

Four clear scenarios instead of abstract promises: what we build, what data we need from you and how the pilot starts.

  • A clear scope of work in every scenario
  • We start with a pilot on your data
  • Integration with your systems, not alongside them
Discuss your task See the scenarios
AI integration: service overviewImplementation processAI implementation cost
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What these scenarios are and how we work

These are not boxed products. Each scenario is a defined scope of work that we adapt to your systems and data. If your task does not fully match any of them, that is normal: scenarios can be combined, and the solution is shaped around your process. The approach is the same for all: we start with a limited pilot, verify quality on real data and only then scale.

Four AI implementation scenarios

Pick the scenario closest to your task or combine several. We lock in the scope of work before we start.

01

AI assistant for your company knowledge base

A RAG-based assistant answers employees and customers based on your documents: policies, manuals and knowledge base. Every answer links to its source.

What is included

  • Connection to your documents (Confluence, Google Drive, files, wiki)
  • Search and indexing setup (RAG pipeline)
  • Interface: web chat, Telegram bot or a website widget
  • Answers with links to the source document
  • Role-based access control

What we need from you

  • Policies, manuals, knowledge bases and FAQs in any format (PDF, Word, wiki)
  • A list of roles and access rights to sections

What the business gets

  • Employees and customers find answers themselves without distracting colleagues
  • New hires get up to speed faster
  • Answers rely on your documents, not the model's general knowledge

How the pilot starts

With one section of the knowledge base: we connect 20-50 documents, collect user questions and verify answer quality together with you.

02

Request and document processing

AI classifies incoming requests and documents, extracts data from them and routes everything to the right place without manual sorting.

What is included

  • Classification of incoming requests (email, forms, messengers)
  • Data extraction from documents (invoices, applications, forms)
  • Routing to the right team or system
  • Completeness checks and requests for missing data
  • Integration with your CRM, ERP or helpdesk

What we need from you

  • Samples of incoming requests and documents (anonymized is fine)
  • A description of the current flow: who does what with a request
  • Access to the system where the results should land

What the business gets

  • Requests do not get lost and reach the right person
  • Routine triage of incoming items moves from staff to the system
  • Data from documents lands in your systems without manual entry

How the pilot starts

With one type of document or request: we set up the processing and compare results against manual handling on a real stream.

03

Sales and support assistant

A first line in chats and messengers: it answers common questions, qualifies the lead and hands it over to a manager together with the conversation context.

What is included

  • A bot in Telegram, WhatsApp or a website widget
  • Answers to common questions about your products and services
  • Lead qualification: task, budget, timeline
  • Handover to a manager with the conversation history
  • Escalation to a human based on defined rules

What we need from you

  • Descriptions of products and services, pricing, common customer questions
  • Qualification scenarios: what to ask, what matters to find out
  • Access to the channels (bot token, widget installation)

What the business gets

  • Customers get an answer right away, including outside business hours
  • Managers receive already qualified leads with context
  • Common questions stop taking up the team's time

How the pilot starts

With one channel: we launch the bot in Telegram or on the website, review the conversations and refine the scenarios on real questions.

04

AI layer on top of your CRM

AI works inside your CRM: summaries of conversations and calls, hints for managers, automatic filling of deal cards.

What is included

  • Summaries of conversations and calls in the deal card
  • Automatic filling of card fields from conversations
  • Hints for managers: next step, response to an objection
  • Reminders about stalled deals
  • Integration with amoCRM, Bitrix24 or your CRM

What we need from you

  • API access to your CRM
  • Samples of conversations and call recordings, if available
  • A description of the funnel and the fields that need to be filled

What the business gets

  • Managers spend less time filling in the CRM
  • The team lead sees the state of deals without reading conversations
  • Data in the cards stays complete and up to date

How the pilot starts

With one feature: for example, conversation summaries in the deal cards of one sales team.

Did not find your scenario? Describe the task in your own words: we will look into the process and suggest how to solve it with AI and where to start the pilot.

Describe your task

How to choose your scenario

If your task does not fit into one scenario entirely, that is normal: scenarios can be combined and adapted to your processes.

  1. 1

    Identify the process with the most manual routine or wasted time

  2. 2

    Check what data you already have: documents, conversations, request history

  3. 3

    Assess which systems the solution needs to integrate with

  4. 4

    Start with a pilot on a limited scope, not a full rollout

Not sure which scenario to start with?

We will review your processes and data, and suggest a suitable scenario and pilot scope. We give a preliminary estimate after a short brief.

Discuss your task

Frequently asked questions about the scenarios

How do I choose the right scenario for my task? ＋

Start from the process with the most manual work: searching for information in documents, triaging incoming requests, answering common customer questions or maintaining the CRM. If in doubt, describe the task to us: we will suggest which scenario fits and which pilot to start with.

What determines the success of an implementation? ＋

The key factors are the quality and availability of data, how ready the processes are for automation, team involvement and integration with your current systems. That is why we start with a pilot: it shows the real quality of AI on your data before scaling.

Can the scenarios be combined or adapted to my industry? ＋

Yes. The scenarios often complement each other: for example, the sales assistant passes conversations to the AI layer on top of the CRM. We adapt the scope of work to your processes, systems and industry requirements.

All questions about AI integration

Shall we discuss your implementation scenario?

Leave a request: we will review the task and suggest a scenario and a pilot plan.

Working hours: Mon-Fri 09:00-19:00 · Email: hello@axium.uz

What happens next

  1. Intro call: We clarify business goals and context. If needed, we sign an NDA immediately.
  2. Requirements analysis: We review your operational flow, identify technical risks, and map integration points (1C, CRM, ERP).
  3. Plan and estimate: We prepare a transparent proposal (SOW) with stages, timeline, and a fixed budget framework.
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