Our structured 6-week sprint gives you a precise, evidence-based picture of your organization's AI readiness across data, infrastructure, talent, and strategy, and a clear roadmap for what comes next.
Most AI initiatives fail not because of technology but because organizations move before they know where they stand. They invest in tools their data cannot support, build teams before infrastructure is ready, or deploy AI into processes that have not been mapped.
The Hive AI Readiness Assessment is a structured diagnostic that prevents exactly that. In six focused weeks, our senior advisors work alongside your leadership team to build a complete, honest picture of your AI maturity and identify the highest-leverage moves to make first.
This is not a survey. It is a deep, collaborative engagement that produces insights your competitors do not have about themselves.
"Through 2026, organizations will abandon 60% of AI projects unsupported by AI-ready data."
Gartner, Lack of AI-Ready Data Puts AI Projects at Risk, February 2025
AI Readiness Dimensions · Illustrative Baseline
Illustrative only. Your baseline is established in Week 1
We evaluate your organization across six critical dimensions that determine whether and how fast AI can create value for you.
We evaluate the completeness, accessibility, and quality of your data assets. Data quality and availability is the barrier middle market leaders cite most often when deploying AI (RSM, 2026).
We map your tech ecosystem to identify where AI can plug in immediately versus what needs modernization first.
We assess the AI literacy, technical capability, and change-readiness of your workforce from executives to front-line staff.
We map your core operational workflows to identify high-value automation targets and decision points where AI can augment judgment.
We benchmark your AI ambitions against your competitive landscape, identifying where peers are investing and where urgency is highest.
We evaluate your readiness for responsible AI deployment, data privacy, bias risk, regulatory compliance, and governance structures.
A structured, senior-led engagement. Every week has a clear focus, defined outputs, and a working session with your leadership team. No ambiguity. No scope creep.
Every deliverable is designed to be immediately actionable. These are working documents your leadership team will use in the weeks and months ahead.
A scored assessment across all six dimensions with benchmarks against industry peers and a visual maturity map your board can read in 60 seconds.
A ranked inventory of AI use cases specific to your business, scored by impact potential, implementation complexity, and time-to-value.
A clear-eyed assessment of where your data architecture needs to evolve, with specific sequenced recommendations for your highest-priority use cases.
A documented risk landscape and recommended governance structure so you can move fast without creating compliance or ethical exposure.
Role-by-role AI literacy gap analysis, a recommended training and hiring roadmap, and a change management framework tailored to your culture.
An immediately executable 90-day plan covering quick wins, critical dependencies, and the strategic sequencing needed to move into Phase 2 with momentum.
An inventory of overlapping tooling and vendor commitments across the AI and data stack. In most portfolios there is redundant spend that has accumulated without a recent audit, and identifying it gives leadership a way to fund the next phase from the existing budget rather than a new line item.
Your complete AI Readiness Assessment delivered as an executive-ready report package, built to share with your board, investors, or leadership team on Day 42.
We do not use templated questionnaires or junior analysts. Every AI Readiness engagement is led by a senior Hive advisor with direct operating and implementation experience in your sector.
Our methodology draws on the enterprise-scale transformation programs our advisors have led, adapted to the pace and budget of a mid-market company.
Your engagement is led by a principal with 15+ years of operating and advisory experience. The person in the room is the person doing the thinking, with no handoff to junior staff.
100% Senior-LedOur readiness scoring is built on data: system logs, data quality metrics, process documentation, and structured interviews, not surveys and gut feel.
Quantified ScoringWe have no preferred platform partners and no license revenue. Our recommendations are driven entirely by your needs, not commercial incentives.
Zero Vendor BiasEvery engagement begins with a mutual NDA. Your competitive intelligence, system architecture, and strategic plans stay with you. Always.
NDA-FirstAn AI readiness assessment is a structured diagnostic of whether an organization's data, technology, people, processes and governance can support AI before significant money goes into tools. Hive's assessment is a collaborative engagement with your leadership team, not a survey. We evaluate six dimensions: data infrastructure and quality, technology stack, talent and capability, process maturity, AI strategy and competitive position, and governance, risk and compliance.
Hive's AI Readiness Assessment is a fixed-scope, six-week sprint. Each week has a defined focus, moving from discovery and baseline through data and infrastructure, talent and process, use case scoring, and risk and governance, to a final readout. Every week includes a working session with your leadership team, and the engagement typically involves 80 to 120 senior advisor hours and interviews with 8 to 15 leaders.
At the end of the assessment you receive six working documents, delivered as an executive-ready report package. They cover an AI Readiness Score and maturity map, a use case scorecard, a data and infrastructure gap analysis, an AI risk register and governance framework, a talent and capability development plan, and a 90-day action plan with a Phase 2 roadmap. The package is built to share with your board, investors or leadership team.
For most firms, we would usually suggest an assessment before buying AI tools, because the common failure is moving before knowing where you stand. What we typically see is investment in tools the data cannot support, teams built before infrastructure is ready, or AI deployed into processes that have not been mapped. The assessment clarifies which use cases your data and systems can support now and what needs modernizing first.
Our AI readiness assessment differs from a maturity survey because the scoring rests on evidence such as system logs, data quality metrics, process documentation and structured interviews, rather than surveys and gut feel alone. Hive does not use templated questionnaires or junior analysts. A senior advisor leads the work alongside your leadership team, and the recommendations are vendor-agnostic, since we have no preferred platform partners and no license revenue.
Request a 30-minute briefing with a senior Hive advisor. We will walk you through what an AI Readiness Assessment looks like for your industry and what it will take to close the gap with your competitors.
30 minutes · No pitch · Senior advisor · NDA available