AI Readiness Assessment & Consulting

The standard outputs are a readiness scorecard, a prioritized gap register, a portfolio of opportunities with their business-case assumptions, and a phased roadmap. Deeper architecture work, validation, or a pilot depends on scope and is estimated separately.

Include business and process owners who understand how the work runs today, IT and data leads, and the risk or compliance stakeholders who set the rules. It helps to prepare workflow examples, information about the relevant systems, and any existing AI policies or standards. One clear owner per target area keeps decisions moving.

Timing depends on how many departments, systems, and data sources are in scope, how quickly access is granted, and how deep the assessment goes. A focused review of one area takes less time than a company-wide assessment across several business units. We confirm a range once the scope is clear.

Cost follows scope: the number of areas assessed, the condition and accessibility of your data, how many stakeholders and systems are involved, and the governance or compliance requirements. Assessment fees are separate from optional pilot, implementation, and ongoing operating costs, which are estimated after the roadmap. We provide an estimate after an initial conversation about your goals and current state.

Yes. Most organizations start with a mix of legacy systems and incomplete data. The assessment identifies which constraints matter for the use cases you care about and what practical preparation they need. Full platform replacement is rarely required, and we recommend the smallest change that removes a real blocker.

Yes. A generative AI readiness assessment looks at data quality, retrieval, output evaluation, privacy, and human review of generated text. Agentic AI readiness adds further requirements: scoped permissions for the tools an agent can use, limits on the actions it may take, oversight and approval points, and recovery steps when something goes wrong. Both are covered when your use cases need them.

Access is agreed in advance and limited to what the assessment requires, such as read-only access, sample data, or documentation. Data-handling arrangements are set out before work begins, including where information is stored and who can see it. We work within the security and privacy requirements you already follow.

Yes. We review business fit, data, output quality, cost, controls, ownership, and adoption. Findings can support improving a pilot, expanding it, or retiring it when the case no longer holds. You get a prioritized recommendation rather than a verdict alone.

When you evaluate an AI readiness assessment consultant, check relevant delivery experience, the depth of the assessment, and whether the outputs are tangible enough to act on. Ask how the consultant evaluates use cases, how it measures output quality, and whether the recommendations respect your existing systems and constraints. It also helps when the same AI readiness assessment company can carry the work into validation or implementation, so nothing is lost in the handoff.