AI readiness check
Six questions about one workflow you'd like to improve. Get a readiness level, what to do next and an estimate of the time it could save.
Readiness quiz
Is your workflow ready for AI?
Think of one specific task your team does, then answer for that task. It takes about a minute.
Build the foundations first
AI would struggle with this workflow today. The quickest wins come from capturing the know-how and data the task depends on.
What to do next
- Write down how the task is done, including exceptions
- Move key information out of inboxes and into systems
- Start measuring volume, time and errors
Ready for a focused pilot
This workflow is a good candidate for a pilot where AI suggests or drafts and a person approves before anything goes out.
What to do next
- Pick one high-volume slice of the work
- Agree the baseline and a target metric
- Pilot with human approval on every output
Ready for production
This workflow has the volume, data and ownership AI needs. An agent with clear limits and human checkpoints could run it in production.
What to do next
- Define tools, limits and escalation rules
- Build an evaluation set from real cases
- Launch with monitoring and a named owner
Savings calculator
What could it save?
Move the sliders to match the workflow. The estimate shows time freed up before running costs.
Estimated time freed up
0hours / month
- Cost of that time, per month
- AED 0
- Per year
- AED 0
- Full-time equivalent
- 0 people
Estimate only. Real savings depend on the workflow, the time people spend reviewing AI output and the running costs of the system. We'll size it properly in a discovery call.
Size it with usStart here
Start with one workflow.
No big-bang programme. One opportunity, one capability, one measurable outcome, then scale.
- 01
Discover one opportunity
A short discovery finds the highest-value workflow in your operation and sizes the prize.
- 02
Build one capability
We build a working AI capability around that workflow, on your data, owned by you.
- 03
Prove one outcome
We measure it against the baseline before anyone scales it across the business.