Glossary
AI transformation: what it means for a company
AI transformation is the process of rebuilding how a company operates around AI, so that its core work runs through AI systems rather than only being assisted by them. It covers processes, systems, roles and governance, not just tool adoption. Done well, it moves one department at a time, with pilots live in weeks and whole departments AI native within months.
Featuring insights fromShaun Devan · Founder & CEOUpdated · 3 min read
AI transformation vs AI adoption
| AI adoption | AI transformation | |
|---|---|---|
| Changes | The tools people use | How the work itself is done |
| Unit of change | A license or a seat | A process or a department |
| Typical result | Individuals save time | Departments handle more with the same team |
| End state | AI-enabled | AI-native |
The main stages
- Map how each department works and where the time goes.
- Rebuild the highest-volume processes around agents, inside the systems already in use.
- Govern with written authority, evals and logs from the first agent.
- Train the team to run and extend what was built, then move to the next department.
What it looks like at scale
Native helped Avalara put AI into production across eight departments in under six months, with 179 agents running and one shared measure of value. See how Native works.
Sources
Frequently asked questions
What is AI transformation in business?
It is the work of redesigning a company's processes, systems and roles around AI, so that AI carries out core work rather than just assisting individuals.
How long does an AI transformation take?
The first process can be live within weeks and a whole department within months. A company-wide transformation runs department by department over a year or more.
What is the difference between AI transformation and digital transformation?
Digital transformation moved work onto software. AI transformation changes who does the work, with agents carrying out processes that software only recorded.
