Bad data costs you money... every single day.
60-70% of enterprise data isn't fit for AI. Before investing in models and infrastructure, you need a data foundation that actually works. We help you assess, remediate, and govern your data so your AI investments deliver real ROI.
60-73%
of enterprise data goes completely unused
The Three-Fold Data Crisis
Revenue Crisis
Flawed data = missed insight = missed revenue opportunity.
Compliance Crisis
With no lineage, no masking, and no audit trail — regulation is a ticking clock.
Knowledge Crisis
Without AI-ready data, projects are doomed from the start. Organizations will abandon 60% of AI initiatives unsupported by quality data.
From Data Chaos to AI-Ready
Click each step to explore the details
The reality most organizations face today
Siloed, Undocumented Data
Data exists across dozens of systems with no shared understanding
- ▸Critical business data locked in team-specific databases
- ▸No machine-readable schemas — just tribal knowledge
- ▸New team members take months to understand the data landscape
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AI Projects Stall or Fail
85% of AI initiatives never reach production deployment
- ▸Models trained on inconsistent or incomplete data
- ▸No way to verify data quality before model training
- ▸Production models degrade silently as source data drifts
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Compliance is a Fire Drill
Every audit is a scramble to gather evidence and prove controls
- ▸PII scattered across systems with no automated discovery
- ▸No data lineage — can't prove where data came from or how it's used
- ▸Manual compliance processes that don't scale
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The Result?
15-25% of revenue lost to poor data quality. AI budgets wasted. Audit risk growing.
How AI-Ready Is Your Data?
Answer 10 questions to get your AI readiness score across three pillars.
AI Readiness Assessment
This 2-minute assessment evaluates your organization across three pillars:
Get Your Data AI-Ready
AI only works when the data behind it is clean, governed, and trustworthy. We help you get there.
Free call
Data Readiness Assessment
A free 30-minute call to map your data landscape, identify gaps blocking AI adoption, and deliver an initial readiness scorecard.
- ✓Data landscape mapping
- ✓AI readiness scorecard
- ✓Quick-win identification
- ✓Strategic recommendations
Deep audit
Data Quality Audit
A deep-dive into your data quality, governance gaps, PII exposure, and AI readiness — with a prioritized remediation roadmap.
- ✓Automated data quality scan
- ✓PII & compliance analysis
- ✓Lineage gap assessment
- ✓Prioritized remediation roadmap
Advisory
Data Governance Advisory
Hands-on advisory to build internal data governance capability, implement data contracts, and establish continuous quality monitoring.
- ✓Data contract implementation
- ✓Governance framework setup
- ✓Quality monitoring automation
- ✓Platform onboarding & enablement
Built for Decision-Makers and Builders
Whether you're setting the AI strategy or preparing the data to power it, we speak your language.
C-Suite & Leadership
CDOs, CIOs, VPs of Data — you need your data ready for AI, not more dashboards.
"Why aren't our AI investments paying off?"
We show you the data quality gaps that are blocking ROI and how to fix them.
"Are we exposed to regulatory risk?"
We assess your compliance posture and build audit-ready governance.
"How do we compare to our industry?"
We benchmark your AI readiness against peers and best practices.
"What should we prioritize?"
We deliver a roadmap ranked by business impact, not just technical debt.
Data & AI Teams
Data engineers, ML engineers, analysts — you need your data pipelines AI-ready, not more theory.
"We spend more time fixing data than building models."
We help you implement data contracts that catch issues before they reach your pipeline.
"Our models degrade in production and we don't know why."
We set up data quality monitoring and drift detection at the source.
"Compliance requirements keep slowing us down."
We automate PII classification and lineage so governance becomes invisible.
"How do we get leadership to invest in data quality?"
We quantify the cost of bad data in language the C-suite understands.
How We Make It Happen
We use the Griot platform to enforce data quality with machine-readable contracts across your entire pipeline.
Data Contracts
Define, version, and enforce machine-readable contracts. Shift-left CI/CD validation catches issues before production.
Governance & Compliance
Automated PII discovery, data lineage, and audit-ready reporting. Compliance becomes a system property, not a manual checklist.
AI-Ready Export
Semantic context manifests enable LLMs to query your data with high accuracy via natural language.
Stop Burning Budget on AI Projects Built on Bad Data
A 30-minute call can save you months of wasted effort. Let's assess your AI readiness together and build a plan that actually works.
Free Assessment Call
Understand your current AI readiness in 30 minutes
Custom Roadmap
Get a prioritized plan tailored to your data landscape
No Commitment
Walk away with actionable insights, regardless