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Consulting

Navigate your AI journey.

We help companies and software vendors bring AI into processes and products in a strategic, compliant and economically sensible way. Consulting is orientation, not software development by the hour.

Which nalune track fits?

nalune is a platform company. Consulting creates clarity, Integrations brings customer work to production, Studios builds vertical products we own and Platform is the technical foundation.

Strategy and orientation

Consulting

AI roadmaps, governance, EU AI Act, architecture decisions and product strategy with clear decision material.

Implementation in production

Integrations

Shared architecture, integration, rollout and enablement for products and processes that should become productive with nalune.

See Integrations

Consulting for productive AI.

The formats are scoped so the output is decisions, roadmaps and actionable next steps.

AI roadmap

2–3 weeks

Prioritized AI roadmap with use cases, business value, risks and implementation order.

We identify processes where AI creates real operational value and translate them into a realistic roadmap for pilot, integration and operations.

  • Use-case inventory across processes and products
  • Assessment by value, data readiness, risk and feasibility
  • Pilot scope and decision material for budget
  • Recommendation: Platform, Integrations, Studios or external solution

EU AI Act & governance

2–3 weeks

Governance and risk mapping for concrete AI use cases.

We classify AI initiatives from a regulatory perspective and define governance, responsibilities, documentation and human oversight where needed.

  • Risk classification per use case
  • Governance model with roles and responsibilities
  • Transparency, documentation and oversight requirements
  • Templates for audit and decision material

AI architecture strategy

1–2 weeks

Architecture decision note for data sovereignty, integration, operations and auditability.

We review planned or existing AI architectures for production readiness: data flows, tenants, permissions, hosting, audit trails and integration patterns.

  • Analysis of data flows and system boundaries
  • Assessment of build, buy or partner integration
  • Recommendation for hosting, data sovereignty and operations
  • Handover-ready architecture note for engineering and management

AI product strategy

2 weeks

Product strategy for AI features or new AI products with clear positioning.

For software vendors we assess which AI capabilities create real product value, how they should be embedded and which operating model fits.

  • ICP, value proposition and feature scope
  • White-label or embedded integration path
  • Risk and compliance assumptions
  • Roadmap from prototype to productive AI feature

Can transition into an Integrations phase.

Where should AI start for you?

A short conversation is often enough to see whether strategy, integration or a concrete platform pilot should come first.