VERDUONA AI TRANSFORMATION

We make your company run itself, step by step.

We map how your company works, put AI agents to work in your tools and workflows, train your people, and stay with you after go-live. Named people at Verduona answer for the result.

The programme Four steps, one team responsible

Step by step

01

Audit

We map your processes, data and risks, and pick where AI pays off first.

02

Implementation

We put agents to work in your tools and workflows, one process at a time.

03

Training

Your people learn to work with the agents and to approve what matters.

04

Hypercare

After go-live we watch closely, fix fast, and hand over a process that holds.

Platform Verduona Autonomy Platform
Pricing Per programme, on request
First step An audit, credited to the programme

Verduona AI Transformation

How a programme works

01

Runs on the Verduona Autonomy Platform

Our own agent system, connected to your tools, team and workflows. Agents do the work; your people approve what matters.

02

Sized to your company

We price a programme by the departments and processes it covers, never per seat. You get a quote after the audit.

03

Start small, keep the credit

Audit, workshop, sprint and ops are entry steps you can buy on their own. What you pay is credited against a programme signed within six months.

04

Named people answer for it

Every step has a named Verduona person responsible for the result, from the first audit to hypercare.

Apps by Verduona

  • CouncilNow · Decisions

    People and agents work the same Problems. Every decision gets a named owner, a review date and a checked outcome.

    Learn more ↗
  • Workplace Safety

    Health-and-safety and fire-protection records for workplaces in the Czech Republic.

    Learn more →

Point of view

The market does not have a stable AI implementation recipe yet.

Large vendors often sell the wrong abstraction: a generic copilot, a chatbot, or a platform before the business workflow is understood.

Verduona stays close to the technical edge, but the work is grounded in customer economics, industry rules, security, and whether employees can actually use the system.

How we work

Agents do the work, named humans hold final responsibility, and every step leaves evidence.

  • Security and regulatory risk mapped before rollout
  • Training that reduces employee fear instead of increasing it
  • Evidence ledger for what works, what fails, and what should be repeated

First step

Book an audit.

Tell us about your company, where work gets stuck, and how you use AI today. We reply with a plan for the audit.