- Duration
- 6–12 weeks · remote
- Audience
- for business units
- Investment
- from €15,000
The Goal
Bring a prioritised use case fully into production – the proof that AI creates measurable value in your real operations. With custom algorithms where standard and LLM approaches reach their limits.
When the project fits
- › When a business-critical solution is needed for which standard AI is not sufficient.
- › When custom algorithms or bespoke development beyond LLM is required – when ChatGPT hits its limits.
- › When AI should have a measurable impact on your core processes.
How we work
Iteratively in 2-week sprints with weekly demos, fully remote, in close collaboration with your domain experts, data owners, and IT:
- 1
Discovery & solution design
Frame the problem precisely, define target metrics and success criteria.
- 2
Data & feasibility analysis
Thoroughly assess data availability and quality; select methods and algorithms.
- 3
Data preparation & features
Clean data, create labels and features, build training and test datasets.
- 4
Model / algorithm development
Develop and train custom models, run iterative experiments.
- 5
Evaluation & validation
Measure against target metrics and baseline, including robustness, bias, and edge cases.
- 6
Integration & deployment
Connect to your landscape, set up operations (MLOps) and monitoring.
- 7
Acceptance, go-live & handover
Acceptance test, production launch, onboarding, and operational handover.
What you get
- ✓ A tailored AI solution with custom algorithms, optimised for your processes and target metrics.
- ✓ Integration & operations (MLOps): API/pipeline connection, automated training and inference, monitoring.
- ✓ An evaluation and acceptance report: comparison against baseline, target metrics achieved, robustness and bias checks.
- ✓ Documentation and impact report with measurable effect on your core process (ROI).
- ✓ Support after go-live.
Ready for the next step?
Start with the free Maturity Check or talk to us directly.