Opportunity mapping
We look at how work flows today and pick the few places where AI pays back fastest.
AI transformation
Put AI to work inside your operations.
We find the processes where AI creates real leverage, then build the assistants, automations and integrations that make them run — and keep them reliable.
No AI strategy deck required. Bring a process that is slow, manual or expensive.
What we do
From opportunity to working AI
Four things an AI transformation engagement usually includes.
Custom AI assistants
Assistants that answer, draft, classify and act on your own documents, data and systems.
Automation & integration
LLM-powered steps wired into email, ERP, CRM, ticketing and the tools your team already uses.
Evaluation & guardrails
Test sets, monitoring and human review so the system stays accurate and safe after launch.
How it runs
Three steps, one pilot first
- 01
Map
A short discovery on your processes and data. We shortlist candidates and pick one pilot with a measurable outcome.
- 02
Pilot
We build the pilot on real data and put a working version in front of your team within weeks, not quarters.
- 03
Scale
What proves value goes into production with monitoring, then we extend it to the next process.
Use cases
Where AI usually pays back first
The best candidates are high-volume, document-heavy and rule-bound. These are the ones we see most often.
- Inbound email and ticket triage
- Document extraction and matching
- Customer support assistants
- Internal knowledge assistants
- Sales and quote drafting
- Report generation
- Quality checks on submissions
- Back-office reconciliation
Our other services
FAQ
AI transformation with Evonx
Do we need our data cleaned up before starting?
No. The pilot works with the data you have; cleaning and structuring what matters is part of the engagement, and we tell you early if a use case needs more than that.
Which models and providers do you use?
Whatever fits the task, cost and data-residency requirement: hosted frontier models, smaller open models, or a mix. The integration is built so the model can be swapped later.
How do you keep AI outputs reliable?
Every assistant ships with an evaluation set, logging and a review loop. Where a mistake would be costly, a person approves before the system acts.
Where does our data go?
Your data stays in your systems and your accounts. We build with clear ownership and document every external service used; see our Security & Trust page for details.
Start with one process
Which process should AI take on first?
Bring the one that costs the most time. On a short call we work out whether AI is the right answer and what the pilot looks like.