For AI Consultancies

    A structured starting point for every client engagement

    Before you scope a project, use a company-specific, sector-benchmarked assessment to form an initial view of exposure, opportunity and the questions that require discovery. The report supports a first conversation. It does not replace stakeholder input.

    5 free credits on sign-up. No subscription required.

    How do AI consultants use risk assessments across an engagement?

    Proposal stage

    Run a report before you write the proposal. The scores give you concrete evidence for the case that intervention is warranted, and let you frame the scope around what the data shows rather than what the client thinks they need.

    Discovery and diagnosis

    Use the report as a baseline for the discovery phase. It covers automation potential, competitive moat erosion, industry transformation rate, business model vulnerability, and capability gaps, structured across 3, 5, 7 and 10-year horizons. You have a starting framework on day one.

    Ongoing account management

    Run the report annually on key clients. Track how sector conditions change and how the client's exposure shifts over time. Use the updated scores to drive follow-on advisory conversations.

    Pipeline prioritisation

    Upload your prospect list as a CSV. Score all of them. Focus business development effort on the companies where the AI disruption need is most pressing and where the willingness to invest in a response is likely to be highest.

    What does an AI readiness assessment for consultants include?

    Risk scores at 3, 5, 7 and 10 years: Four time horizons showing how urgency changes across the planning cycle.
    AI opportunity score (0-10): Structured across operational efficiency, competitive advantage, and revenue potential.
    Sector-calibrated scoring: Each score uses the relevant industry baseline, so findings have sector context rather than relying on a one-size-fits-all model.
    Detailed reasoning with cited sources: Live web research and sector data behind every score. Auditable and client-presentable.
    Brandable PDF output: Add your logo and choose your header layout. Ready to include in a proposal or present in a meeting.
    Batch analysis: Run the entire engagement portfolio or prospect list from a CSV in one session.

    How it works in your practice

    Pre-sales qualification: which prospects are worth a proposal?

    A boutique AI consultancy has a list of 30 inbound leads and referrals. Instead of guessing which are serious, they upload the list as a CSV and score every company. The ones with high near-term disruption risk and a high opportunity score get a proposal within the week; the low-urgency ones go into a nurture sequence. Business development time goes where the need is provable.

    Week one of discovery: a baseline the client cannot argue with

    A consultant starts a readiness engagement with a mid-sized distributor. Rather than opening with a blank-page workshop, they present the AI Risks report on day one: sector-benchmarked scores at 3, 5, 7 and 10 years, capability gaps, and cited sources. The workshop becomes a discussion of the evidence, not a debate about whether AI matters to the business.

    Annual client review: turning a finished project into follow-on work

    Twelve months after delivering a strategy engagement, the consultancy re-runs the report on the client. Sector conditions have shifted, and the client's exposure has moved with them. The updated scores become the agenda for a review meeting and the basis for the next phase of advisory work.

    Questions AI consultants ask before signing up

    How is this different from running my own AI readiness framework?

    It does not replace your framework. It front-loads it. The report gives you a sector-calibrated, evidence-based baseline in minutes, so your framework starts from data rather than from a blank page. Your methodology, judgement and recommendations remain the value the client pays for.

    Will clients see that the analysis came from a third-party tool?

    Report branding is configurable. Upload your logo and choose whether the report header shows your logo on its own or alongside the AI Risks logo, and optionally display your company name on the report. The analysis is presented under your header, ready to hand to the client.

    How accurate can a report be without interviewing the client?

    The analysis is based on live web research, public company data and the relevant industry baseline, with findings backed by cited sources. It is a structured external view. Your client-facing work then adds the internal context.

    Do I need a subscription to use it with a small client base?

    No. Credits are pay-as-you-go and never expire. You get 5 free credits on sign-up, so you can test it on real prospects before spending anything.

    Start your first engagement with data

    5 free credits on sign-up. Run a report on your next prospect or current client before the next meeting. No subscription required.