AI audit and strategy
Where AI will have an effect, data readiness, a roadmap and a business case
Formats / Support and consulting
During diagnostics we record the baseline — model accuracy, response time, processing cost, share of manual work. We agree on the target and guide the changes until your team reaches it and learns to hold the result on its own
Where AI will have an effect, data readiness, a roadmap and a business case
Architecture, code, performance, security, model quality
Architecture decisions, reviews, steering committees, contractor oversight
Monitoring, incident analysis, model retraining under an SLA
Programs for engineers and managers on your own tasks
We repeat until the metric reaches the target
Metric
baseline → target
01 · Diagnostics
Interviews, data, code, processes. Baseline metric values.
02 · Targets in metrics
What we improve and by how much, how we measure it.
03 · Change plan
Priorities, owners, deadlines, effect.
04 · Implementation with your team
We guide changes, reviews and training.
05 · Measurement and handover
Comparison with the baseline, methods and documentation.
Price on request, depends on format and scope
In consulting, your team makes the changes with our guidance and expertise. In turnkey development, we build the system and are responsible for it.
Tell us which metrics you want to improve — we will suggest a format of involvement