Maturity assessment, use-case prioritisation, target architecture, and a phased implementation plan — under a single framework.
Our AI consulting begins with a five-dimension maturity assessment that scores your processes, data infrastructure, and team capabilities. The output is an annotated scorecard and the three use cases with the highest ROI potential.
Next, we decide together on the target architecture, technology choices, and a phased implementation plan. ROI projection, risk framework, and KPIs make every phase measurable.
The whole process is governed by the NATF methodology: human-centred, secure, and measurable. We work directly with decision-makers and skip the bureaucratic loop.
Process, data, and team inventory. Five-dimension maturity score and a prioritised use-case list.
Technology, model, and process decisions for the chosen areas. Target architecture, ROI goals, and risk framework are locked in.
One prioritised use case goes live; role-specific AI training runs in parallel for your team.
Internal AI committee, annual roadmap, and a scaling playbook. We move the pilot to enterprise scale.
Timeline depends on scope and team size. Our process has four phases — discovery, strategy, pilot, and scaling — each closing with a concrete deliverable. We plan the schedule with you in the first call.
A senior sponsor, the relevant department lead, and a data/IT representative form the minimum core. The user team joins during the pilot phase.
We decide architecture with you — on-prem, hybrid, or cloud — based on your sector and compliance requirements. KVKK and GDPR framing is set up from day one.
Concrete KPIs and success thresholds for each phase. Monthly measurement reports, quarterly executive briefs, and a final impact analysis are standard deliverables.