AI automation and optimization
Repetitive, high-volume processes where people today copy, classify, review or answer the same thing over and over.
Who it's for
Operations, finance, customer service and back-office areas with a specific process that eats up hours and produces errors.
What we offer
Assessment of automatable processes
A review of candidate processes, ranked by savings and feasibility, and a recommendation on which to automate first (with AI or without it)
Measured proof of concept
The chosen case running on real data, with an evaluation set that shows how often it gets it right
Production rollout
Integration with the client's systems, permissions, human oversight where needed, and monitoring
Monthly operations
Quality and cost monitoring, adjustments when the data or the model changes, new cases
Example cases
- Reading and recording invoices, orders or documents.
- Classifying and answering emails and requests.
- Internal assistants that answer from the company's documentation.
- Reconciliations and reports that are built by hand today.
Typical deliverables
- Process baseline: time, volume, error rate, cost.
- An evaluation set with real cases and the correct answer.
- Automation in production with oversight and alerts.
- After-measurement and a results report.
- Documentation and handover.
How it connects with the other lines
It needs clean, organized data (AI data readiness).
It lives inside custom software or apps.
It's sustained by training for the team that uses it.
How we measure success
- Hours saved per month.
- Accuracy rate against the evaluation set.
- Cost per transaction before and after, including the model's usage cost.
What we don't do
- AI demos with no intent to take them to production.
- Automate sensitive decisions without human oversight.
- Use AI where a simple rule solves the problem better and cheaper.
Start with an assessment
We start with a fixed-price assessment, and from there each phase comes with its own fixed price.
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