AI Readiness Assessment
Assess whether a task fits AI before a build. We review data, access, constraints, and oversight, then define a bounded pilot.
Why?
AI readiness starts with a useful task and evidence that it can be supported. We separate practical pilot candidates from ideas blocked by data, access, cost, or risk, with clear conditions for moving forward.
-
Use cases worth testing
Compare business value with data availability, operational effort, and risk.
-
Visible data gaps
Identify missing ownership, access, or quality evidence before selecting an AI approach.
-
Human oversight by design
Define who reviews outputs, handles exceptions, and authorizes consequential actions.
-
An evaluation-led roadmap
Set pilot measures and decision gates before considering broader adoption.
Our process
Choose the use cases
We define the tasks, intended users, current baseline, and business value to test, including whether AI is necessary.
Review data readiness
We assess available sources, quality, ownership, access rights, and suitability for the selected use cases.
-
Assess systems and teams
We review integration constraints, existing tools, skills, and the capacity to operate and support a pilot.
Define risk and oversight needs
We identify privacy, security, output-quality, and misuse risks, then specify review and escalation needs for specialist validation.
Compare readiness evidence
We document readiness by dimension, distinguish missing evidence from confirmed gaps, and prioritize remediation.
Plan a measurable pilot
We outline pilot scope, evaluation examples, human review, estimated resource needs, and proceed-or-stop criteria.
Questions?
We assess the feasibility and prerequisites of selected AI use cases, then define evaluation examples, human oversight and proceed-or-stop criteria. This is not generic AI training, a live implementation, a completed tool benchmark or a compliance certification; any pilot execution is scoped separately.
No. We start with the sources you have and assess their suitability. Consolidation is recommended only where the selected use case and access requirements justify it.
The schedule depends on the number of use cases, source access, system complexity, and availability of technical and business owners. We agree these dependencies at kickoff.
Your team can address prerequisites or commission a separately scoped pilot. The roadmap defines evaluation criteria, ownership, human review, and the evidence needed before expansion.
