Auditic

What it does

Auditic is a discovery platform for AI consultants and automation agencies. It analyzes discovery conversations and turns them into structured automation opportunities. The platform identifies processes worth automating, scores opportunities by impact and feasibility, models potential ROI, and helps consultants move from conversation to clear project proposals. Auditic brings structure to AI discovery so consultants can identify the right opportunities and build proposals grounded in real operational signals.

Core features

• ✦Discovery Interview Analysis: Analyze discovery call notes or transcripts to extract operational signals, processes, and potential automation opportunities.
• ✦Opportunity Identification: Detect repetitive processes, bottlenecks, and inefficiencies that may be suitable for AI or automation.
• ✦Opportunity Scoring: Score opportunities based on impact, feasibility, complexity, and business value.
• ✦Opportunity Matrix: Visualize opportunities on an impact versus feasibility matrix to prioritize the best automation initiatives.
• ✦ROI Modelling: Estimate potential time savings, cost reductions, and return on investment from proposed automation projects.
• ✦Structured Opportunity Profiles: Convert discovery insights into structured opportunity briefs with defined scope, context, and outcomes.
• ✦Proposal Foundations: Turn scored opportunities into structured proposals supported by discovery insights and ROI data.
• ✦Discovery Question Frameworks: Use structured discovery question banks to guide more effective AI and automation discovery calls.
• ✦Client and Engagement Tracking: Organize discovery sessions, opportunities, and proposals within structured client profiles.
• ✦Opportunity Analytics: Track patterns across discovery sessions to reveal common automation opportunities and high-value areas.

Use cases

• →Turn discovery calls into automation opportunities: Analyze client conversations to identify processes worth automating and convert them into structured opportunities.
• →Prioritize the best AI projects: Score automation ideas by impact, feasibility, and complexity to identify the highest-value initiatives.
• →Build ROI-backed automation proposals: Estimate time savings, cost reductions, and financial impact to support stronger client proposals.
• →Structure messy discovery notes: Transform scattered discovery notes into clear opportunities, project scope, and actionable insights.
• →Improve AI consulting discovery calls: Use structured frameworks and question banks to uncover better automation opportunities during client conversations.
• →Identify hidden automation opportunities: Detect repetitive processes, bottlenecks, and manual workflows that clients may overlook.
• →Turn conversations into execution plans: Convert discovery insights into structured proposals and practical implementation paths.
• →Standardize the AI consulting workflow: Create a repeatable process for moving from discovery to opportunity scoring, ROI modeling, and proposal creation.