For Managed Service Providers

    Know your client's AI exposure before you walk in

    AI Risks gives MSPs a company-specific, sector-benchmarked view of AI disruption and opportunity before an account review. Use it to prepare a relevant vCIO, security, modernisation or service conversation without waiting for a full discovery workshop.

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

    How do MSPs use AI risk assessments with clients?

    New logo acquisition

    Run a report on a prospect before making contact. Send them the PDF as a cold outreach piece (branded with your logo once configured), or hand it over at the first meeting. A prospect who sees something specific and relevant about their own business is more likely to take the next step than one who receives a generic capabilities deck.

    Quarterly business reviews

    Every QBR becomes more strategic when you can show a client exactly how their sector is moving on AI disruption, and where they sit relative to peers. The report gives the vCIO conversation a foundation that goes beyond infrastructure and uptime.

    Identifying upsell opportunities

    Clients scoring high on disruption risk have an urgent need to respond, and that response often involves AI tooling, security uplift, cloud modernisation, and managed AI services. The report tells you which clients to prioritise and gives you the evidence to support the conversation.

    Batch pipeline scoring

    Upload your full prospect list as a CSV. Get disruption and opportunity scores for all of them in one session. Sort by score to identify the companies where AI disruption is most pressing. Focus outreach where the need is highest and the willingness to spend is clearest.

    What does an AI disruption report for an MSP client include?

    Disruption risk at 3, 5, 7 and 10 years

    Four time horizons show whether the client's sector is under near-term pressure or has time to adapt. Useful for sizing the urgency of the conversation.

    AI opportunity score (0-10)

    Where the client can gain from adopting AI: operational efficiency, competitive advantage, and new revenue potential.

    Sector benchmarking

    The company's scores use the relevant sector baseline to provide context for further review.

    Detailed reasoning with sources

    The analysis cites the evidence behind each score: public data, sector research, and live web findings. Not a black box.

    Can MSPs white-label the AI risk report?

    Upload your logo and configure branding once, and every report you run can lead with your brand, with the option to show your company name too. When the client receives it, the analysis is associated with you. The report is the door-opener; the relationship is yours.

    Branded PDF with your logo, with the option to display your company name
    Choose whether the header shows your logo on its own or alongside the AI Risks logo
    PDF is ready to send or present without any formatting work

    How it works in your practice

    QBR prep: giving the vCIO conversation a strategic spine

    A week before each quarterly business review, the account manager runs a fresh report on the client. The QBR deck opens with the client's updated disruption scores and how they have moved against sector peers. The meeting shifts from ticket counts and uptime to where the client's business is heading. That is the conversation MSPs say they want but rarely have material for.

    Pre-sales qualification: choosing which prospects get real effort

    An MSP's sales team uploads their 80-company prospect list as a CSV and scores the lot in one session. The fifteen companies with the highest near-term disruption risk get personalised outreach that quotes their own report. The rest stay in an automated sequence. Effort follows evidence.

    New client onboarding: the report in the welcome pack

    Alongside the network assessment and asset register, the onboarding pack includes an AI disruption report carrying the MSP's own branding on the client's own business. It signals from day one that the relationship covers strategy as well as support, and its findings feed directly into the first roadmap discussion.

    Questions MSPs ask before signing up

    Does the client need to fill anything in?

    No. The analysis is built from public data and live web research, so you can run a report on any client or prospect without their involvement. There is no questionnaire.

    Will the client know the report came from a third-party platform?

    Branding is configurable. Upload your logo and choose whether the report header shows your logo on its own or alongside the AI Risks logo, with the option to display your company name too. The report you hand to the client leads with your brand.

    We do not sell AI services. Is this still relevant?

    Yes. Clients with high disruption risk typically need cloud modernisation, security uplift, data readiness and managed services first. Those are the things MSPs already deliver. The report gives you the client-specific evidence to raise them.

    How many credits does a typical MSP need?

    One credit per report. Most MSPs run their top accounts quarterly and batch-score prospects occasionally, so a 50-credit bundle covers a typical client base for a year. Credits never expire and there is no subscription.

    How current is the analysis?

    Each report is generated on demand using live web research, so it reflects the sector conditions and company information available at the moment you run it, not a static database snapshot.

    Sector views

    See how AI disruption is playing out in your clients' sectors.

    Start with 5 free reports

    Sign up and get 5 free credits. Run reports on your top prospects before your next meeting. No subscription, no commitment.