Put AI to work
across your business.

Ontovia is your AI implementation partner. We connect your tools and knowledge, automate recurring work and help your team put it into daily use.

Implementation. Training. Ongoing support.

Our team has worked at

  • T-Bank
  • Ozon
  • Mars
  • Yango
  • Sber
  • T-Bank
  • Ozon
  • Mars
  • Yango
  • Sber
The agency behind the implementation

Your AI transformation partner.
From the first bottleneck to daily use.

Ontovia brings business operations, engineering and team adoption together. We help you choose where AI belongs, implement it and make it useful to the people doing the work.

Find the business case.

We map the bottleneck with your process owners, check the available data and agree the cost, scope and success measures.

What you get

A prioritised use case and a measurable pilot.

Build it into the business.

We configure the AI workspace, connect your systems and build agents around your knowledge, approvals and everyday tasks.

What you get

A working workflow, tested with your team.

Make the change stick.

We train the people using it, support the rollout and review quality, adoption and costs as the workflow becomes part of daily work.

What you get

A supported team and a clear view of performance.

Our team's experience

Real business problems.
Practical changes to everyday work.

Selected projects from the Ontovia team's experience. A closer look at the problem, the implementation and what changed for the client.

Sales quality

Better coaching starts with better visibility.

The challenge
Sales leaders needed to find recurring mistakes across a multilingual team. Listening to calls one by one made it difficult to see the patterns.
What the team built
Call transcription, translation and scoring against a shared playbook, with insights for each salesperson.
What changed
Managers identified coaching needs sooner and gave more specific feedback. The project reported improved sales conversion.

More focused coaching. Stronger sales conversations.

Procurement

More attention on the bids worth pursuing.

The challenge
Manual tender searches and document preparation consumed time before the team could decide which opportunities to pursue.
What the team built
Automated opportunity monitoring, relevance checks and preparation of application documents.
What changed
The team spent less time finding tenders and preparing paperwork, with more attention available for promising opportunities.

Less searching. More time for promising bids.

Finance & reporting

From scattered data to a clearer decision.

The challenge
Financial information lived across spreadsheets and other sources. Bringing it together delayed reporting and analysis.
What the team built
Automated collection and standardisation of data, a shared reporting dashboard and an AI assistant for questions and anomalies.
What changed
Reports were prepared sooner and manual consolidation was reduced, giving the finance team more time to analyse the business.

Faster reporting. More time for analysis.

Team experience, described anonymously. Outcomes relate to these projects and depend on each client's processes, data and adoption.

Solutions

Where your team
gets time back.

An AI workspace connected to your knowledge and tools. Purpose-built agents for the work that comes around every day.

Sales

A proposal ready for your review.

Turn a client brief and an approved price list into a proposal draft. Your team checks the scope and decides when to send it.

  • Connect the approved documents
  • Prepare a proposal with source context
  • Keep the final decision with your team

What we measureTime from request to reviewed proposal

Illustrative sales assistant reading a client brief and price list, preparing a proposal and requesting human review.
Illustrative interface · Demo data Click to enlarge +
Support

Useful answers. A clear handover.

Prepare replies from your knowledge base. Flag exceptions for a specialist, with the customer context already attached.

  • Find the relevant knowledge
  • Draft a response grounded in the source
  • Escalate account-specific exceptions

What we measureResolution time and quality of handovers

Illustrative support assistant drafting a reply from a sample billing guide and flagging an exception for a specialist.
Illustrative interface · Demo data Click to enlarge +
Operations

Your weekly brief, already prepared.

Bring recurring reports together on a schedule. See the updates, their sources and the information that still needs an owner.

  • Read the connected reports
  • Compile a brief on an agreed schedule
  • Flag gaps before they become decisions

What we measurePreparation time and completeness of reporting

Illustrative operations assistant compiling sales and support reports, with missing delivery data clearly flagged.
Illustrative interface · Demo data Click to enlarge +
A shared foundation

Your tools.
Your team in control.

Connected knowledge

Work with the documents and sources your team relies on.

Defined permissions

Set access and approval rules for each workflow.

Visible AI spend

Track model usage and configure spending limits.

Illustrative interface · Demo data

Inside your AI workspace

One AI workspace.
Built around your business.

Give your team shared knowledge, specialised agents and connected tools — all in one place.

01 / SPECIALISED AGENTS

The right assistant.
For each kind of work.

Equip agents with your instructions, tools and reusable skills. Make your team’s way of working repeatable.

ontoviaAgent library Demo
Prepare a proposal from this client brief.
KNOWLEDGE
  • Client brief.pdf
  • Approved price list.xlsx
REUSABLE SKILL

Proposal structure & tone

A structured proposal draft, ready for your team to review.

Help me answer this billing question.
KNOWLEDGE
  • Billing guide.pdf
  • Support playbook.md
REUSABLE SKILL

Response & escalation rules

A reply grounded in your guidance, with exceptions flagged for a specialist.

Summarise this week’s operational updates.
KNOWLEDGE
  • Weekly reports.csv
  • Reporting guidelines.md
REUSABLE SKILL

Weekly reporting format

A concise brief with source context and missing information highlighted.

Illustrative preview · Select an agent to explore
02 / COMPANY KNOWLEDGE

Your knowledge.
Part of the conversation.

Keep documents in shared drives so agents can work with the context your team relies on.

03 / SCHEDULED WORK

Set the rhythm.
Let AI do the preparation.

Schedule recurring tasks so agents can prepare updates without a fresh prompt every time.

04 / CONNECTED TOOLS

Put AI where
your work already lives.

Connect agents to your business systems to retrieve information and carry out the actions you approve.

WORK TOGETHER

Share what works.

Give colleagues access to shared agents, reusable instructions and team workspaces.

WorkspacesShared skills
CHOOSE YOUR MODEL

Match AI to the task.

Choose the model behind each agent to suit the work, quality requirements and budget.

Model choiceAgent settings
MANAGE USAGE

Keep costs visible.

See usage costs by model and set daily and weekly limits for each user.

Usage visibilitySpending limits
EVALUATE QUALITY

Test before you scale.

Evaluate agents against repeatable scenarios to understand where they need improvement.

Test scenariosQuality reviews

Illustrative interfaces with demo data. Available models, integrations and evaluation tools depend on your deployment and agreed scope.

The workspace is the starting point

We make it work for your team.

We configure the workspace, connect your systems and help your people use it.

Explore your setup
How it works

Start with one workflow.
Build from there.

A focused pilot gives you a clear decision: refine it, expand it or choose a better starting point.

01Discovery

Choose the right work.

Walk through one recurring process. Identify its owner, the systems involved and the result worth improving.

A clear starting point
02Scope & baseline

Define a measurable pilot.

Agree the inputs, access, success measures and boundaries. Set the implementation fee before the build begins.

Scope, baseline and a fixed proposal
03Build & adoption

Put it into daily use.

Connect the tools, test real scenarios and train the people who will use the workflow. Review the results together.

A tested workflow and a trained team
04Ongoing operations

Keep improving the result.

Monitor quality and usage, resolve issues and review the agreed measures. Expand when the evidence supports it.

Support and regular performance reviews

Clear scope. Clear costs.

Implementation, ongoing support and usage costs are outlined separately in your proposal.

Discuss your pilot

A few things you might be wondering.

What should we automate first?

Start with frequent, repeatable work that has accessible inputs and a clear owner. We look at the current effort, the cost of mistakes and how you will judge a useful result.

Can we keep our existing tools?

We check the APIs, permissions and data available in your current systems before agreeing the scope. The proposal lists the integrations included and any work needed to connect them.

How do we stay in control?

We define access and approval rules for each workflow. Sensitive actions can require human review. Usage limits and quality checks are configured around the agreed deployment.

How long will a pilot take?

Timing depends on the workflow, integrations and access to your data. We agree a delivery schedule during scoping, including the time your team needs for testing and approvals.

What is included in the price?

Your proposal separates implementation, ongoing support and platform, model and infrastructure costs. It also specifies the review cadence, support scope and handover arrangements.

The people behind the work

Implementation
is a team sport.

Business context, engineering and adoption belong in the same conversation. We work with the people who own the process, from the first discussion through daily use.

Meet Ontovia
Eugene Shilnikov

Eugene Shilnikov

Product and Operations

Andrey Romanovskiy

Andrey Romanovskiy

Technology