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    AI Consulting Playbook (End-to-End Guide)

    AI consulting is a structured process that involves identifying automation opportunities, quantifying their impact, prioritising them, and presenting clear, ROI-backed solutions.

    "This playbook outlines the full process used by successful AI consultants."

    The AI Consulting Process

    Four steps from initial conversation to prioritised, costed automation proposal.

    Step 01

    Sell the problem

    Identify measurable business problems and frame them as opportunities.

    How to sell AI services →
    Step 02

    Discover opportunities

    Analyse workflows, volumes, and time to uncover automation potential.

    AI discovery call framework →
    Step 03

    Calculate ROI

    Quantify time savings, cost reduction, and financial impact.

    AI ROI calculation framework →
    Step 04

    Prioritise opportunities

    Score opportunities based on impact, effort, and feasibility.

    AI opportunity scoring model →

    Definition: The AI Consulting Playbook is a structured methodology for turning business processes into prioritised, ROI-backed automation opportunities.

    Example: From Discovery to ROI

    How a single discovery conversation becomes a prioritised automation opportunity.

    1
    Identify processInvoice handling
    2
    Measure volume5,000 per month
    3
    Calculate time250 hours
    4
    Estimate value£5,000/month
    5
    Score priorityHigh impact, low effort

    "This becomes a clear, prioritised automation opportunity."

    How Auditic supports this playbook

    Auditic brings this entire process into one system — from discovery to proposal — without spreadsheets or disconnected tools.

    Structured discovery
    Opportunity extraction
    ROI calculation
    Opportunity scoring
    Proposal generation

    Frequently Asked Questions

    What is AI consulting?

    AI consulting is the process of identifying and implementing automation opportunities that reduce cost or increase revenue.

    How do AI consultants find opportunities?

    By analysing workflows, volumes, and time spent during discovery.

    How do you prioritise AI projects?

    By scoring opportunities based on impact, effort, and feasibility.