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Documentation Index

Fetch the complete documentation index at: https://docs.auditynow.com/llms.txt

Use this file to discover all available pages before exploring further.

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AI Readiness Score

A numeric score (typically 0–100) that represents how prepared a client or prospect is to adopt AI in their business. Audity computes the score from survey responses, uploaded documents, and optionally web research. The score feeds the Opportunity Matrix and the executive summary. For leads, the score appears as aiReadinessScore in the API response; a compositeScore is also available when web research has been completed.

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Credits

The unit of consumption for AI-intensive operations in Audity. Credits are deducted when you create a project (1,000 credits) or convert a lead (1,000 credits). Your credit balance is visible in the dashboard and via GET /api/user/credits. Credits reset each billing period and do not roll over. See Tier limits for the credit allocation per plan.

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Consulting team

The people in a consulting firm who use Audity to deliver AI readiness audits. In the platform, “consulting team” refers to the users on a shared Team or Enterprise account who collaborate on projects. Audity is purpose-built for consulting teams running structured assessments for their clients, not for in-house enterprise teams assessing their own organization.

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Deliverables

The client-ready outputs produced by the Audity audit synthesis pipeline. Deliverables include:
  • Executive summary, a high-level narrative of the client’s AI readiness
  • Opportunity Matrix, prioritized list of AI opportunities ranked by impact and effort
  • Risk assessment, identified risks and their severity
  • Stakeholder memos, tailored summaries written for specific stakeholder roles (e.g. CFO, COO)
Deliverables are fetched via GET /api/projects/{id}/deliverables after an audit analysis has completed.

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Nucleus

Audity’s persistent memory layer. Nucleus stores facts about clients (memories), ingests context from outside sources like meeting transcripts (captures), and generates proactive observations (insights) from background jobs. Unlike the audit pipeline, Nucleus is always on and accumulates knowledge across all engagements. Agents can read and write Nucleus via the /api/nucleus/* endpoints.

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Opportunity Matrix

A structured view of AI implementation opportunities for a client, ranked by impact score and effort score (each 1–10). The matrix is one of the core deliverables produced by the audit synthesis and is returned in GET /api/projects/{id}/opportunities and within the full deliverable dashboard. Consulting teams use the matrix to prioritize recommendations in client presentations. A public-facing AI readiness survey link generated in Audity. A consulting team creates a ReadyLink and shares it with prospects. When a prospect fills out the survey, their responses are captured as a lead with a computed AI Readiness Score. Multiple ReadyLinks can be created for different campaigns, industries, or client segments. ReadyLinks can be managed via GET/POST/PATCH/DELETE /api/agent/readylinks.

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Readiness Inbox

The lead management view in the Audity dashboard where incoming ReadyLink survey responses appear. Each entry in the inbox is a lead with a score, survey responses, and optional web research. The agent API exposes this inbox via GET /api/lead-generation/leads.

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Stakeholder memo

A deliverable document written by the Audity AI for a specific stakeholder role at the client (for example, a memo addressed to the CFO covering financial risk, or one addressed to the Head of Operations covering process automation opportunities). Stakeholder memos are produced automatically during audit synthesis and returned as part of GET /api/projects/{id}/deliverables. In v1, memo regeneration is a web app operation.

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Web intelligence / research

The process of enriching a lead’s profile with publicly available information about the prospect’s company. Web research is triggered from the Audity web app for eligible accounts. When completed, the results are incorporated into the compositeScore alongside the survey-derived aiReadinessScore. In v1, web research is not triggerable via the agent API; agents can read the results of research that has already been completed.