Benchmark your strategy, data, tech, people, process and governance, then leave with a prioritized 12 to 24 month AI roadmap.
Find out how ready your organization really is for AI, and where to start for fast, low-risk wins.
A structured AI Readiness Assessment (AIRA) that benchmarks your organization across strategy, data, technology, people, process and governance. We co-create the use case portfolio with stakeholders across business units and functions, then deliver a prioritized set of Really Quick Wins, Quick Wins and Enterprise Enablement plays tied to your business context.
For a mid-size organization (one to three business units), AIRA typically runs four to six weeks. Larger enterprises with multiple divisions or complex operating landscapes extend to eight weeks. The timeline is driven primarily by stakeholder availability for interviews and workshops, not by the methodology.
AIRA evaluates six dimensions: AI strategy and leadership alignment, data assets and quality, technology infrastructure and integration, people and skills, processes and governance, and current AI or automation initiatives. Organizations receive a readiness scorecard benchmarked against peer organizations, a prioritized use-case portfolio and a board-ready summary.
There is no binary threshold for AI readiness, but the organizations that succeed earliest share three indicators: they have reasonably clean data in at least one high-volume process, they have executive sponsorship for AI above the level of the champion pushing it, and they are willing to change processes not just automate existing ones. AIRA gives you a structured readiness benchmark across six dimensions so you can see exactly where you are and where to focus before committing capital to AI programs.
An AIRA engagement for a mid-size organization (two to five business units, one hundred to five hundred staff) typically ranges from fifty to one hundred and twenty thousand dollars, depending on the number of business units assessed, stakeholder availability and scope. Enterprise-scale assessments covering multiple divisions or complex organizational structures carry a higher price point. We provide a fixed-fee proposal after an initial scoping call.
A digital transformation assessment covers enterprise technology adoption broadly (ERP, CRM, BIM, mobile). An AI readiness assessment specifically maps which data, processes, decisions and roles are most suited for AI augmentation, and which capabilities need to be in place before AI will hold. AIRA gives you a ranked, investment-ready AI portfolio, not a general technology roadmap.
Most clients move into one of three paths: an AI Impact and ROI Assessment to build the business case for the top initiatives; direct AI strategy and roadmap work if the portfolio is clear; or a pilot on the highest-priority Quick Win identified during AIRA. We deliver a recommended next-step sequence in the readiness report.
An AI readiness framework is a structured assessment model that evaluates your organization's ability to adopt and scale artificial intelligence. Innov8ion.AI's framework covers six dimensions: strategy and leadership alignment, data assets and quality, technology infrastructure and integration, people and skills, processes and governance, and current AI initiatives. The framework produces a readiness scorecard that maps your position across all dimensions and identifies the highest-leverage gaps to close before committing capital to AI programs.
Professional AI readiness assessment services combine stakeholder interviews, data and technology audit, use-case discovery, and structured scoring against an AI maturity model. Innov8ion.AI's AIRA engagement delivers a readiness scorecard benchmarked against peer organizations, a facilitated use-case portfolio workshop with stakeholders across business units and functions, a prioritized set of Quick Wins and Enterprise Enablement plays, a board-ready summary deck, and a 12 to 24 month AI roadmap. The assessment is fixed-fee and scoped in advance so there are no surprises on cost or timeline.