Business outcome
Workflow pain, measurable value, buyer urgency, process owner, and success metric clarity.
AI readiness assessment
Score the right AI use case before committing to build
DigiScience evaluates business value, workflow pain, data readiness, cloud readiness, security controls, responsible AI requirements, and first-pilot feasibility. The output is a practical roadmap, not generic AI advice.
Assessment output
Use-case scorecard, risk register, data/cloud readiness view, governance gaps, and recommended pilot path.
What we assess
Data and system readiness
Documents, systems, event data, images, APIs, data quality, access constraints, and retention needs.
Cloud and security readiness
Azure, AWS, GCP, hybrid posture, IAM/RBAC, private networking, monitoring, logging, and cost controls.
Responsible AI risk
Prompt security, model risk, hallucination controls, human approval, audit trail, and compliance mapping.
Pilot feasibility
Smallest useful pilot, dependencies, stakeholder availability, scope boundaries, and go/no-go criteria.
Proposal path
Recommended package, assumptions, exclusions, timeline, delivery model, and buyer-side responsibilities.
AI readiness assessment FAQ
It delivers a use-case scorecard, readiness view, risk register, governance gaps, recommended pilot scope, success metrics, and a practical 30/60/90-day roadmap.
The workflow owner, technology or cloud owner, data owner, security or compliance representative, and business sponsor should join so value, feasibility, and risk can be scored together.
No. The assessment can begin with process context, sample structures, system descriptions, and access constraints. Production data is not requested unless a later pilot scope explicitly requires controlled access.
DigiScience recommends whether to proceed to a 45-day pilot, defer the use case, close readiness gaps first, or choose a smaller safer workflow.
Prepare before the assessment call
Capture the target workflow, current systems, available data sources, cloud platform, security constraints, compliance needs, decision stakeholders, and success metrics.