AI strategy and adoption for companies
We help you find the AI use cases worth doing, prioritize them by impact and risk, and leave with a 90-day roadmap and a human-and-agent operating model your teams can actually run, not a slide deck that sits in a drawer.
Most companies do not have an AI problem, they have a prioritization problem. There are dozens of things AI could do, the tools change every month, and it is hard to tell which use cases pay off and which quietly add risk. A good AI strategy cuts that down to a short list you can execute this quarter.
Our approach is deliberately concrete. We start from your real processes, look at where AI already helps and where it could, and score each use case on value and on risk. What you leave with is a roadmap, an owner for each item, and a clear way of working, so the plan survives contact with everyday work.
What you leave with
- A prioritized use-case map. Every candidate scored on impact, effort, and risk, so the order is defensible.
- A 90-day roadmap. What to do first, who owns it, and what success looks like in the first quarter.
- A human-and-agent operating model. Which tasks stay with people, which move to AI, and where a human reviews the output.
- Per-role assistants. Practical AI setups for the roles that gain the most, ready for your teams to use.
- A training plan. The literacy and skills your people need, delivered through the TVL Academy program.
How the engagement runs
- DiscoveryWe map how work flows today and where AI already touches it, team by team.
- Use-case sprintWe run a focused workshop to surface and score candidate use cases.
- PrioritizationWe rank by impact and risk and pick the first wave.
- Operating modelWe define the handoffs between people and AI, with review points.
- RoadmapYou get a 90-day plan with owners, plus the training to execute it.
Signs you need an AI strategy
- Teams use AI tools on their own, with no shared way of working and no oversight.
- You have run pilots that never turned into everyday use.
- Leadership is asked for an AI plan and does not have one on paper.
- You cannot say which AI use cases actually save time or money today.
- You worry that some AI use may be creating compliance or confidentiality risk.
Who this is for
Leadership teams in mid-market and corporate companies in Romania and the EU that want AI to produce results this quarter, not a strategy document nobody uses. It works best when a sponsor can commit a few teams to the first wave.
Frequently asked questions
What is an AI strategy for a company?
A short, concrete plan for where AI creates value in your business, which use cases to do first, who owns them, and how you will roll them out safely. It is a prioritized roadmap, not a vision statement.
How long does it take?
A focused engagement runs a few weeks: a discovery phase to map use cases, a prioritization workshop, and a 90-day roadmap. We keep it short so you start seeing results in the first quarter.
What is a human-and-agent operating model?
It defines which tasks stay with people, which move to AI assistants and agents, and where a human reviews the output. It sets the handoffs so AI speeds up work without removing accountability.
Do you cover the EU AI Act as part of strategy?
We flag where an intended use is high-risk or regulated so the roadmap accounts for it, and we hand off to our EU AI Act compliance service when a use case needs full classification and controls.
How is this different from training?
Strategy sets what to do and in what order. Training gets your teams able to do it. Most companies need both, which is why the roadmap includes a training plan through the TVL Academy program.
Turn AI from experiments into a plan
Book 30 minutes. We will look at where AI can move the needle in your company and agree the first use cases worth doing.
Book 30 minutes