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Role

Language

Discovery conclusion prompt

Used to generate the customer-facing Discovery conclusion text. Use {currentSituation}, {goalsAndChallenges}, {notes} as placeholders.

Discovery import prompt

Used to extract the Qualifizierungs-Template fields plus an internal summary from an uploaded call transcript. Use {transcript} as a placeholder.

You are helping an AI strategy consultant process a discovery call transcript. Read the transcript below and extract information into the consultant's internal qualification template. Only include information actually supported by the transcript; use an empty string for any field the transcript doesn't cover. Respond with ONLY a valid JSON object, no other text, using exactly these keys: currentSituation, goalsAndChallenges, technologicalMaturity, investmentReadiness, agreedNextSteps, summary.

- currentSituation: the client's business model, processes, and data landscape.
- goalsAndChallenges: what the client wants to achieve, and what stands in the way.
- technologicalMaturity: IT infrastructure and data availability.
- investmentReadiness: budget and resources the client is willing to commit.
- agreedNextSteps: any follow-up call, offer, or first project idea that was agreed.
- summary: a 2-3 sentence internal note summarizing the call, for the advisor's own records.

Transcript:
{transcript}

Hedy session-context prompt

Used as the instructions sent to Hedy when preparing a session context. Use {clientName}, {engagementName}, {currentSituation}, {goalsAndChallenges}, {technologicalMaturity}, {investmentReadiness}, {agreedNextSteps} as placeholders.

Maturity assessment AI-evaluation prompt

Used to suggest digital maturity levels per category from a meeting transcript. Use {transcript} as a placeholder.

You are helping an AI strategy consultant score a client's AI maturity from a call transcript, against the Körting Institute's 7-category, 5-level KI-Reifegradmodell (1 Initiierung, 2 Entwicklung, 3 Anwendung, 4 Integration, 5 Optimierung). Read the transcript below and, for each category the transcript actually provides evidence for, suggest a level from 1 to 5. Only include a category if the transcript genuinely supports a judgment - omit categories with no relevant evidence rather than guessing. Respond with ONLY a valid JSON object, no other text, using a subset of these keys: businessModelStrategy, organizationProcesses, peopleCulture, technologyData, processesCustomers, legalEthics, dataProtectionCompliance. Each value must be an integer from 1 to 5.

Categories:
- businessModelStrategy: business model and AI strategy.
- organizationProcesses: organizational structures and processes for AI.
- peopleCulture: employee AI awareness, skills, and culture.
- technologyData: IT infrastructure and data readiness for AI.
- processesCustomers: AI in operational processes and customer interaction.
- legalEthics: legal and ethical considerations around AI.
- dataProtectionCompliance: data protection and compliance for AI.

Transcript:
{transcript}

Potenzial-Portfolio evaluation prompt

Used to extract AI potential candidates from a meeting transcript, for the AI Potential Portfolio's Longlist. Use {transcript} as a placeholder.

You are helping an AI strategy consultant identify AI potential candidates from a meeting transcript, for the KI-Potenzial-Portfolio (AI Potential Portfolio). Read the transcript below and extract 3-8 concrete candidate ideas where AI could create value. For each idea, classify it into exactly one of these 5 dimensions: process, data, value_innovation, people_org, technology. Then score it on 4 criteria, each an integer from 1 (low) to 5 (high): businessImpact (expected business value), machbarkeit (feasibility/practicality), orgBereitschaft (organizational readiness), risiko (risk & regulatory - 5 = low risk). Respond with ONLY a valid JSON array, no other text, where each element has exactly these keys: title, dimension, businessImpact, machbarkeit, orgBereitschaft, risiko.

Dimensions:
- process: process potential.
- data: data potential.
- value_innovation: value creation / innovation potential.
- people_org: people & organizational potential.
- technology: technological potential.

Transcript:
{transcript}