AI center of excellence

We launch an AI CoE in 12 weeks: we assemble a team of 5 to 20 people, define roles, select the scenario portfolio, and hand over the regulations. The program starts at RUB 2,000,000; training and first-launch support are separate options.

We build an AI center of excellence: a team, a scenario portfolio, and regulations that run as one process.

Pricing

from ₽2,000,000

per program

This is the lower bound of a project. We scope the exact quote after a brief: it depends on volume and the number of integrations.

What's included

Capabilities

Team core

We assemble a core of 5 people: product, ML engineer, analyst, architect, and process owner. Each role gets a scope and a first 90-day plan.

Scenario portfolio

We select up to 20 scenarios and rank them by impact, risk, and data readiness. Five scenarios enter delivery with a rouble estimate and a launch date.

Regulations and roles

We describe the flow from request to launch: prioritization, review, testing, and monitoring. The regulation links CoE roles, the business owner, and IT.

Training and handover

We run 6 workshops for the team and 2 sessions for executives. Materials and templates stay with you, so new scenarios launch with your internal team.

How we work

From request to result

  1. 1

    Discovery

    We run 12 interviews with business and IT. We record current scenarios, data, budgets, and bottlenecks.

  2. 2

    CoE model

    We choose the model: centralized, federated, or hybrid. We define headcount, roles, and the first 12-month budget.

  3. 3

    Pilot portfolio

    We select 5 scenarios and calculate the impact. Each one gets a launch plan, metrics, and a risk score.

  4. 4

    Launch and handover

    We formalize regulations, train the team, and launch the first scenario in production. We hand over templates and the decision log.

Who it fits

Check if it fits you

Good fit

  • AI in three or more units

    Scenarios appear in sales, support, and operations. A CoE gives them one priority list, one budget, and one launch rule.

  • A dedicated AI budget

    You have RUB 2,000,000 or more for the program and 5 people ready to work in the core team. The CoE takes the portfolio to launch.

Not a fit

  • One model only

    A single model or chatbot fits a 4-6 week project. A center of excellence serves a stream of scenarios and a repeatable process.

  • Team still unassigned

    The program rests on 5 people from your organization. When the core is unassigned, the start moves to the staffing decision.

Track record

What you get

12 weeks

Discovery and launch

From discovery to the first scenario: team assembly, a portfolio of 5 scenarios, and the regulation handover.

5

5 people

Five people in the CoE core run the portfolio after the program. Roles and scopes are fixed in the operating model.

20

20 scenarios

Up to 20 scenarios in the portfolio with impact and risk scores. Five of them get a launch plan in the first 12 weeks.

Scope of work

What the delivery includes

Operating model

The operating model describes the CoE structure, roles, budget, and prioritization cycle. The document fixes who decides on scenarios and how impact is measured.

Scenario portfolio

The scenario portfolio holds up to 20 ideas with impact, risk, and data readiness. Five scenarios get a launch plan and an owner.

Training program

The training program includes 6 workshops, 2 executive sessions, and a template set. The team applies the materials to its own scenarios from week one.

How it works

How the system is built

  1. Portfolio diagnostics

    We run 12 interviews and collect the idea portfolio in one register. Each idea has an owner, data, an impact estimate, and a risk score, so priority rests on numbers and data readiness.

  2. Team and roles

    The team is built from 5 people: product, ML engineer, analyst, architect, and process owner. We define roles, scopes, and the meeting rhythm, so scenario decisions land within 5 working days.

  3. Training and handover

    Training runs on your scenarios: 6 workshops, 2 executive sessions, and document templates. After the handover the team runs the portfolio itself, and we stay available within first-launch support.

Limitations and cost

Where the solution pushes back

  • 01

    Hiring speed

    Hiring and internal transfers run at your organization's pace; assembling the core takes 4-8 weeks. The program starts when the roles are filled.

  • 02

    Program budget

    The program budget starts at RUB 2,000,000 and grows with the number of scenarios. A portfolio of 20 scenarios needs a separate 12-month estimate.

  • 03

    Delivery ownership

    Delivery ownership is shared by the CoE and the business owner: the team provides the process and tools, the owner accepts the result and the scenario budget.

Budget estimate

Cost calculator

This is an indicative range, not a quote. We scope the exact estimate after a brief: it depends on volume and the number of integrations.

Team

5

Scenario portfolio

5

Training

Launch support

Service

AI center of excellence

The estimate covers our team's work. Hardware, third-party service licences and travel are added on request.

Estimated cost

₽2M

Timeline

12 wk

Questions

Frequently asked questions

How much does the program cost?

The base program starts at RUB 2,000,000 and covers discovery, the CoE model, a portfolio of 5 scenarios, and regulations. Training adds RUB 150,000, support for the first launches adds RUB 200,000.

How long does the launch take?

12 weeks for one business unit and a portfolio of 5 scenarios. Every 10 extra scenarios add 4-6 weeks.

Which CoE model fits?

A centralized model fits 1-2 business units, a federated model fits 4 or more. Teams pick a hybrid when some units already run AI on their own.

What does training include?

6 workshops of 3 hours: prioritization, data assessment, testing, monitoring, cost, and security. Plus 2 sessions for executives on budget and metrics.

Who stays on the team after the program?

You get a core of 5 people, regulations, and templates. We hand over the decision log and a two-quarter plan, so the team runs the portfolio itself.

Ready to discuss your task?

Leave a request – we'll get back with a proposal and a preliminary estimate.

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