FAQ
Questions boards and executive teams ask before committing
Direct answers to the questions that determine whether an AI program reaches production or remains a pilot.
According to Gartner, the vast majority of AI projects stall between pilot and production. The failure is rarely technical. It is structural: no named owner for the production workflow, no redesigned manager roles, no governance cadence that connects deployment speed to board-level accountability. The pilot proves a tool can work. It does not prove the organization can absorb it.
TokenShift engagements range from EUR 75K for a 4-6 week Decision Clarity session to EUR 2M+ for a 12-24 month Compounding Returns engagement. The starting point depends on where the organization is today. Most enterprises begin with Decision Clarity (EUR 75K-150K) to produce a board-ready investment view before committing larger capital. The AI Investment Audit, a fixed-scope variant at the lower end, is designed specifically for CFO-led evaluation.
Without a structured approach, EU mid-caps typically spend 12-18 months in pilot mode before reaching a go/no-go decision. With a Decision Clarity engagement, that collapses to 4-6 weeks for the initial decision and 14-18 weeks for the first production deployment under a Production Commitment. The difference is not speed -- it is the presence of a named owner map, a target architecture, and explicit go/no-go criteria from the start.
Five questions that separate informed boards from hopeful ones: (1) How many pilots are running and what is the production conversion rate? (2) Who is the named executive owner of AI investment across the organization? (3) What is the total cost of pilots that have not reached production? (4) Are manager roles and KPIs redesigned for AI-enabled workflows? (5) Is there a governance cadence that connects AI deployment to quarterly business outcomes? If the executive team cannot answer these in a board meeting, Decision Clarity is the starting point.
Management consultants produce strategy documents. Systems integrators build technical implementations. Neither addresses the structural gap between them: who owns the production workflow, who is accountable for adoption, and how the organization sustains capability after the engagement ends. TokenShift works across all four -- architecture, governance, workforce, and ownership -- because the failure mode is always at the intersection, not within any single discipline.
Article 4 of the EU AI Act mandates AI literacy for all personnel involved in AI system deployment. Article 9 requires risk management systems proportionate to the impact. For mid-cap enterprises, this means governance is not optional -- it is a compliance requirement. TokenShift builds EU AI Act readiness into every engagement, not as a separate compliance project, but as part of the operating model design.
Yes. Decision Clarity (EUR 75K-150K, 4-6 weeks) is designed as a standalone engagement that produces a board-ready output -- a named owner map, a risk-quantified investment view, and a recommended decision sequence. Most clients use Decision Clarity to decide whether to proceed to Production Commitment.
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