For SMBs and enterprises
Three tracks, defined outcomes
We structure every engagement around a defined team, a fixed timeline, and a specific deliverable. You know what you are paying for before the work starts.
Strategy and governance sprint
4–6 weeks. Kickoff with business and IT: goals, data landscape, compliance, and existing initiatives. Roadmap and business-case package with prioritized use cases, effort estimates, and budget ranges. Enablement and change plan: responsibilities, roles, and training modules.
Outcome: A signature-ready roadmap with governance guidance
Delivery and pilot phase
3–6 months. Interdisciplinary team: data scientists, ML engineers, and full-stack developers. Coordinated stakeholder management across business units, security, privacy, and works councils. Production-grade handover with documentation, metrics, and workshops.
Outcome: A production-ready pilot or live solution with measurable KPIs. The PIA chatbot reduced consultation time by 38% in a prospective study with 86 patients.
Executive sparring and recruiting bridge
Recurring sessions on strategy, budgeting, and risk controls. Support with job descriptions, interview guides, and technical assessments for AI hires. Operating model design for growing an internal AI team.
Outcome: Confident decisions and a team setup that sustains AI initiatives