Source inventory
Map the systems, tables, files, APIs, owners, refresh paths, and access constraints that matter.
Services
Flagship 2026 offer
AI/Data Quality& MigrationReadiness Audit
Find out which data and AI work is worth doing next, what is risky, what should be fixed first, and what can be delivered in 30-90 days.
3-5 day starting audit
30/60/90-day roadmap
Production proof stack
What the audit delivers
A practical decision package, not another AI demo.
The output is designed for leaders who need to choose between fixing data foundations, validating a migration, piloting AI, or stopping work that is not ready yet.
Data quality scorecard
Check completeness, duplicates, validity, freshness, consistency, and high-risk anomalies.
Migration readiness
Surface mapping gaps, reconciliation needs, cutover risk, rollback constraints, and target-platform fit.
AI readiness
Decide which RAG, assistant, dashboard, or workflow automation use cases are safe enough to pilot.
Delivery workflow
Five steps from uncertainty to a funded next move.
The work stays bounded: a narrow scope, real evidence, a risk register, and a recommendation the client can act on.
01
Qualify
Confirm business owner, decision deadline, data boundary, and access path.
02
Discover
Interview stakeholders and review systems, reports, samples, and known quality issues.
03
Assess
Run quality/readiness checks and classify blockers, risks, and quick wins.
04
Prioritize
Turn findings into a ranked backlog and 30/60/90-day roadmap.
05
Read out
Deliver the executive report and recommend stop, fix, validate, migrate, pilot, or scale.
Productized packages
Start small, then expand only when the evidence supports it.
Readiness Snapshot
3-5 days
Fast diagnosis before budget is committed.
USD/EUR 1.5k-3k
Validation Sprint
1-2 weeks
Sample-data profiling, reconciliation, and implementation backlog.
USD/EUR 4k-8k
Production Pilot
3-6 weeks
A first validated pipeline, report, RAG slice, or monitored workflow.
USD/EUR 12k-30k
Proof approach
Backed by repeatable validation patterns.
The offer uses public-safe examples and client-ready templates: inventory, quality checks, reconciliation, readiness scoring, and an executive roadmap.
- Representative migration validation workflow
- Repeatable quality-assessment checklist
- Executive readiness scorecard
- Client-safe report and discovery templates
Use the audit when the next technical bet needs evidence.
Best fit: ERP/CRM migration partners, data and AI consultancies, SaaS teams, and regulated SMB operators with reporting trust issues, migration risk, or AI pilots that need a production path.