Credit Usage

Credits are consumed when you use AI-powered features. Here's how usage breaks down.

What Consumes Credits

AI Interviews

Conducting voice interviews is the primary credit consumer. Credit cost depends on:

• Interview duration
• Language processing complexity
• Real-time AI follow-up generation

Process Analysis

Generating process maps and schemas from interview data consumes credits based on:

• Number of interviews being synthesized
• Complexity of the processes discovered
• Number of cross-functional handoffs identified

Opportunity Scoring

Running the AI analysis to score process steps for automation potential. Cost scales with:

• Number of process steps being evaluated
• Depth of the feasibility analysis

Recommendation Generation

Creating 3-tier implementation recommendations consumes credits based on:

• Number of opportunities being analyzed
• Detail level of cost projections and architecture guidance

Agent Brief Generation

Producing structured agent briefs for identified opportunities.

Checking Costs Before Actions

Before performing any credit-consuming action, the platform shows:

• The estimated credit cost
• Your current balance
• Whether you have sufficient credits

If you don't have enough credits, you'll be prompted to purchase a top-up package.

Optimizing Credit Usage

To get the most value from your credits:

• Upload context documents before interviews to make them more efficient
• Focus interviews on the most important business functions first
• Use opportunity scores to prioritize which functions to analyze in depth