We act as a reliable partner for established companies and provide dedicated pods, defined timelines, and clear metrics so you stay in control of budget, risk, and learning.

1. Strategy & governance sprint (4-6 weeks)

• Kickoff with business and IT: We clarify goals, data landscape, compliance topics, and existing initiatives.
• Roadmap & business-case package: You receive prioritized use cases, effort estimates, budget ranges, and decision decks for the executive committee or board.
• Enablement & change plan: Together we define responsibilities, required roles, and training modules.

Outcome: A signature-ready roadmap, including governance guidance, that lets you make confident investment decisions.

2. Delivery & pilot phase (3-6 months)

• Interdisciplinary pod: Data scientists, ML engineers, and full-stack developers deliver prototype, infrastructure, and monitoring.
• Coordinated stakeholder management: We align business units, security, privacy, and works councils inside clear decision rituals.
• Production-grade handover: Documentation, metrics, and handover workshops make sure your internal team can take ownership.

Outcome: A production-ready pilot or live solution with measurable KPIs (for example conversion, utilization, or cost savings).

3. Executive sparring & recruiting bridge

• C-level advisory: Recurring sessions with executives on strategy, budgeting, and risk controls.
• HR & hiring support: We help with job descriptions, interview guides, and technical assessments.
• Scale-up planning: Together we design the operating model for growing internal AI teams.

Outcome: Leaders receive confident decisions and an operating setup that sustains AI initiatives long term.

Not sure where to begin? Let us talk for a moment and find the right entry point together.