About Ontovia

AI expertise.
Business understanding.
One implementation partner.

We help companies turn repetitive work, scattered knowledge and slow handovers into practical AI workflows. Our role covers the whole journey: choosing the right problem, building the solution and helping your team use it.

Our team has worked at

T-BankOzonMarsYangoSber
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.

What success looks like

Agree the baseline.
Then measure the change.

Before a pilot starts, we agree what to compare, over what period and who owns the result. Together, we review the evidence before expanding the rollout.

Time back
Time spent preparing, checking and completing the task.
Quality of work
Accuracy, rework, exceptions and the amount of human review needed.
Business impact
The relevant outcome: conversion, response time or reporting turnaround.
Adoption & cost
Regular use by the team, running costs and support effort.
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.

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