Our team's experience

Start with the problem.
See what changed.

Better visibility for sales leaders, less paperwork in procurement and faster reporting for finance. Discover how practical AI implementations changed the way teams worked.

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