AI and automation
Agents, document processing and workflow automation built into systems that already run. The work is usually less about the model than about where it sits: what it is allowed to touch, what happens when it is wrong, and who reviews the output.
In short
- Best fit when
- Repetitive documents or decisions could be automated, and being wrong about one of them is expensive.
- Pairs with
- Technology advisory, when the first question is whether automation is the right answer at all.
What you get
What is handed over at the end, and yours to keep running without us.
- Automation running against your real workflow, not a demonstration
- Human review points at every step where being wrong is expensive
- Logging that shows what was decided and why
- A cost model, so running it is a known number rather than a surprise
How it runs
The same sequence every engagement follows, applied to this line of work.
- Stage 1
Discovery
We find the repetitive work and, more importantly, the failure cost when it goes wrong.
- Stage 2
Pilot
A narrow slice runs against real data alongside the existing process, so the two can be compared.
- Stage 3
Rollout
Scope widens only where the pilot earned it.
Tell us what is still held together by spreadsheets and email
Describe the process, and we will tell you whether we are the right studio for it — and where we would start if we are.
Thirty minutes, or email hello@nyansastudio.com