Find where AI actually saves your team time.
We map your team's weekly work, rank what is worth automating, and prove the first win on your own numbers.
Ækora
Operations lead
How it works
- Step 1
Map
We sit with your team and rank every repetitive task by return and effort.
You get: Ranked opportunity map: now, later, never
- Step 2
Pilot
We build the top pick inside your real workflow and measure it against one number.
You get: A working pilot, not a slide deck
- Step 3
Guardrails
A local check decides what may go to online models, and masks or blocks the rest.
You get: Data rules your IT team can read
If the answer is to run models on your own servers: Local LLMs
The usual worries, answered
Among EU companies that considered AI but held back, 71% named a lack of expertise and 49% data protection. Eurostat
"We don't have AI skills in-house."
We do the work, then hand it off with training.
"Will it pay off?"
Every opportunity on the map comes with its cost and expected return, before anything is built.
"Our data can't leave."
It does not have to: local models, or a gateway in front of online ones.
"Pilots never reach production."
We pilot inside the real workflow, not in a sandbox.
Is this for you?
A good fit if
- Your team repeats the same document, inbox or reporting work every week
- You want AI, but your data has to stay under control
- You want a working result, not just a strategy
Not a fit if
- You only need a chat assistant for a few people
- You want a slide deck with no build
15 minutes to see if it's worth it.
You leave knowing whether AI is a now, a later or a never for your team.
Book a discovery callWhat happens on the discovery call
15 minutes · video call · with Daniel Arevalo, CPO
Step 1
You describe the work
The tasks your team repeats. Nothing confidential.
Step 2
We ask what it costs today
Hours, errors and delays: the number to beat.
Step 3
We tell you if it is a fit
If an off-the-shelf tool is enough, we say so.
Step 4
You get the next step in writing
Usually a scope for the opportunity map.
How your data is handled once work starts: Security and data.