Strategy & use-case fit
Value, decision boundaries, risk appetite and success criteria.
● AI-READY DATA ASSESSMENT
A decision-grade assessment of the data, architecture, controls and operating model behind your AI ambitions—translated into a practical investment roadmap.
Request an assessment ↗THE REAL QUESTION
AI initiatives often begin with a model demonstration and discover the hard problems later: unclear ownership, stale data, weak retrieval, missing access controls, unmeasured quality and no operational response.
We examine the full evidence path from source to answer, giving executives and engineering leaders one view of risk, readiness and next action.
THE ASSESSMENT FRAMEWORK
Each domain is evaluated through evidence, stakeholder interviews and architecture review—not questionnaire optimism.
Value, decision boundaries, risk appetite and success criteria.
Ownership, schemas, completeness, timeliness and lineage.
Parsing, metadata, chunking and document lifecycle.
Selection, versioning, drift and reproducibility.
Hybrid search, filtering, reranking and citations.
Definitions, metrics and text-to-SQL safety.
Permissions, memory, orchestration and approval.
Identity, isolation, encryption and least privilege.
Golden datasets, thresholds and adversarial tests.
Traces, incidents, rollback and runbooks.
Economics, latency budgets, caching and demand.
Testing, release gates, accountability and skills.
MATURITY MODEL
Use cases and data remain informal.
Pilots depend on individual knowledge.
Ownership exists; production gaps remain.
Controls and operations support deployment.
Quality and cost improve continuously.
WHAT YOU RECEIVE
Maturity, dependencies and decisions across all domains.
Failure modes, impact, likelihood, ownership and controls.
Sources, context, models, policies and telemetry.
Quality gates, security, tests and release evidence.
Sequenced quick wins and accountable outcomes.
Options, trade-offs and a production-readiness path.
HOW IT WORKS
Align outcomes, scope and decisions.
Inspect data, architecture and controls.
Identify the highest-impact constraints.
Agree priorities, ownership and investment.
START WITH THE EVIDENCE