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Done-for-you AI implementation

We install AI into your business.

We identify the work slowing your company down, build the right AI systems, connect them to your existing tools, and train your team to use them.

Strategy, implementation, integration, training, and ongoing optimization—from one team.

Our partners

  • Lukoil
  • OMV
  • Delhaize
  • Gazprom
  • Ušće Shopping Center
  • Stadion Shopping Center

Sketch your installation

What would AI look like in your company?

Toggle the channels work arrives through and the systems you already run. The sketch updates as you choose.

Where work arrives

Systems you run

Illustrative sketch — every real installation is scoped to your workflows and approval rules.

AI reads what arrives from email and your website, classifies and drafts the response, waits for a person to approve anything important, and keeps your CRM and calendar up to date.

The real problem

Most companies do not need more AI tools.

They need the right AI connected to the work they already do.

No empty AI strategy decks. We build systems that work inside your business.
  • Manual copy-paste between systems

    The same data, retyped between email, spreadsheets, and internal tools.

  • Leads waiting too long for a response

    Inquiries sit in inboxes while competitors answer first.

  • Follow-ups that get forgotten

    Promising conversations go cold because nobody was reminded.

  • Knowledge that's hard to find

    Procedures and product details live in folders only a few people can navigate.

  • Reports that take hours to prepare

    The same report, rebuilt by hand from scattered sources every week.

  • The same questions answered repeatedly

    Someone types the same answer to the same question, every day.

  • Information trapped in calls and emails

    Context from conversations never reaches the systems where decisions happen.

  • Disconnected AI experiments

    AI tools get tested in isolation — nothing is wired into real operations.

What we install

AI systems built around how your company works

Not a menu of standalone tools — connected systems designed for your workflows, your software, and your team.

Example installation

What an AI installation can look like

Illustrative workflows — each real installation is designed around your processes, tools, and approval rules.

Illustrative — not a live customer system

A lead-handling installation for a company receiving inquiries from several channels.

Step 1 of 8

The shift

Before and after a proper installation

Not a promise of specific numbers — a change in how the work itself flows. Systems are designed to help; results depend on your processes and adoption.

Before AI installation

  • Repetitive manual steps in every workflow
  • Information spread across disconnected tools
  • Inconsistent follow-up that depends on memory
  • Employees searching through folders and documents
  • Reports assembled by hand, week after week
  • Handoffs where context gets lost
  • Limited visibility into what's actually happening

After a properly implemented installation

  • Connected workflows across your existing systems
  • AI-assisted execution of repetitive steps
  • Human approvals for important actions
  • Company knowledge centralized and searchable
  • Follow-up designed to be consistent
  • Summaries and reporting generated automatically
  • Clearer operational visibility for leadership

Installation process

From AI opportunity to working system

A structured path from understanding your company to a monitored, documented installation your team actually uses.

  1. 01

    Understand the company

    We review your processes, systems, bottlenecks, responsibilities, and business goals.

  2. 02

    Identify the best opportunity

    We prioritize use cases based on practical value, complexity, risk, available data, and adoption requirements.

  3. 03

    Design the installation

    We define the workflow, integrations, AI responsibilities, employee responsibilities, approval rules, and success criteria.

  4. 04

    Build and integrate

    We develop the system and connect it to the tools your company already uses.

  5. 05

    Test and train

    We test real scenarios, document the system, and train the people who will use and supervise it.

  6. 06

    Launch and improve

    We monitor performance, fix weak points, and expand the installation when the first workflow is working properly.

Where it works

Installations by department

Capabilities like these are selected and configured around your company — not switched on as an instant, one-size-fits-all product.

Explore use cases

Sales

  • Lead qualification and follow-up
  • Call summaries and CRM updates
  • Proposal preparation
  • Meeting scheduling
  • Pipeline visibility

Customer Support

  • Common-question assistance
  • Suggested responses for agents
  • Ticket classification
  • Conversation summaries
  • Escalation and customer history

Operations

  • Data processing and task creation
  • Workflow routing
  • Document preparation
  • Exception detection
  • Daily operational summaries

Management

  • Consolidated reporting
  • Meeting briefings
  • Decision-support summaries
  • Performance explanations
  • Company knowledge retrieval

Administration

  • Form processing and data entry
  • Email classification
  • Recurring documents
  • Invoice and order data extraction
  • Internal requests

Human Resources

  • Employee onboarding
  • Internal policy assistance
  • Training support
  • Candidate information summaries
  • Frequent employee questions

Why AI Installer

Not another AI consultation. A working installation.

The difference between advice about AI and AI that is doing useful work inside your company.

  1. Built around your actual workflow

    We start from how your company operates today — not from a product we want to sell you.

  2. Connected to existing tools

    Installations live inside your CRM, inbox, calendar, and internal systems — not in a separate tab.

  3. Custom implementation, not generic software

    Workflows, prompts, integrations, and rules are configured for your business specifically.

  4. Human control for important decisions

    Approval steps and escalation rules are designed in from the start, not bolted on.

  5. Employee training included

    Your team learns how to use, supervise, and get value from the system.

  6. Documentation included

    How the system works, what it touches, and who is responsible — written down.

  7. Monitored after launch

    We watch performance after launch and improve weak points instead of disappearing.

  8. One team from analysis to launch

    Strategy, build, integration, and training — without handoffs between vendors.

  9. Vendor-neutral technology selection

    We choose models and platforms that fit your requirements, not a reseller agreement.

  10. Start small, expand deliberately

    One useful workflow first. Proven, then extended into more departments.

Security & control

AI where it helps. Human control where it matters.

No autonomous high-risk decisions without appropriate controls. Every installation defines what AI may do alone, what needs approval, and what stays fully human.

Systems are designed around the security, access, and approval requirements of each implementation.

Minimum required access

Systems get only the permissions the workflow needs — no unrestricted access by default.

Role-based access where supported

What the AI can see and do follows the access rules of your existing systems.

Human approval for high-impact actions

Sending, committing, and deciding stay with people wherever the stakes are high.

Clear escalation rules

When the AI is uncertain or the case is sensitive, it hands over — by design.

Controlled knowledge sources

Assistants answer from approved information, not from anything they can reach.

Data minimization

Workflows process the data they need for the task — and no more.

System logs where available

What the system did and why, recorded where the platforms support it.

Testing before wider rollout

Real scenarios are tested with your team before an installation expands.

Documented responsibilities

Who supervises, who approves, and who to call — written down and agreed.

Engagement model

Start with one process. Prove it. Expand.

Pricing depends on the workflow, integrations, volume, and implementation requirements — we scope each installation individually rather than selling fixed packages.

Phase 1

AI Opportunity Audit

Understand how the company works and where AI can create practical value.

  • Review company workflows
  • Identify practical AI opportunities
  • Prioritize by value, risk, and effort
  • Define risks and requirements
  • Create an implementation roadmap

Phase 2

Installation Pilot

Build one focused installation and prove it on real work.

  • Select one focused process
  • Build the system and connect required tools
  • Test real cases with your team
  • Train the people involved
  • Measure whether the installation is useful

Phase 3

Company Rollout

Extend what works into more departments and systems.

  • Improve the pilot with real feedback
  • Add departments and connect more systems
  • Expand the knowledge base
  • Add monitoring and reporting
  • Maintain and optimize installations

Book a call to define the first installation and request a project scope for your workflow.

Request project scope

FAQ

Questions companies ask before installing AI

Straight answers — including the ones that depend on your specific situation.

Find the first place AI should work inside your company.

Start with a focused process, build a working installation, and expand from there.