Know What to Fix Before You Invest in AI
Most teams do not have an AI problem. They have a data hygiene problem that AI will amplify. We audit your sources, definitions, pipelines, governance, and workflow fit so you know where AI can help now — and what foundation work has to come first.
Book an AI Readiness Audit
What We Assess
Source Reliability
Schema drift, duplicates, null patterns, latency, and ownership across your core systems
Metric & Model Trust
Business definitions, dbt tests, transformation quality, documentation, and lineage
Workflow Fit
Which AI use cases fit your operating cadence, tools, and decision points right now
Roadmap & Priorities
A sequenced plan for hygiene fixes, governance work, and fast-win AI pilots
How It Works
Inventory
We review your core systems, warehouse models, reporting layer, and the AI use cases your team is considering.
Assess
We inspect data quality, testing coverage, business definitions, ownership, and delivery workflows to find the trust gaps.
Prioritize
We separate must-fix foundation issues from nice-to-have cleanup and identify the best first AI opportunities.
Roadmap
You get a concise plan covering what to fix first, where AI can help now, and what should wait until the foundation is stronger.
Get a practical yes, not AI theater
- See whether your data is clean enough for scoring, automation, and copilots
- Identify the source, metric, and governance gaps most likely to break trust
- Prioritize the 20% of fixes that unlock useful AI use cases first
- Leave with a roadmap your team can execute with or without us
This is for you if...
- Leadership wants AI use cases and you need to separate signal from hype
- Your dashboards still disagree and nobody can define the same metric twice
- You have warehouse data, but testing, documentation, or governance is weak
- You want to avoid buying another AI tool before the inputs are trustworthy
This isn't the right service if...
- You want a generic AI strategy deck with no data review
- You need a custom LLM app built immediately regardless of data quality
- You already have clean, governed, trusted data and just need implementation hands
Audits start at $3,500
Most AI readiness audits run $3,500-$7,500 depending on stack complexity and scope. Fixed fee, clear deliverables, and no generic strategy fluff.
Book an AI Readiness AuditWhat This Makes Possible
Mid-Market SaaS Data Team
Pipeline reliability went from constant firefighting to 99%+ uptime
A brittle pipeline and inconsistent governance made the team hesitant to layer on anything new. We stabilized the foundation with testing, documentation, and clear operating patterns so the team could trust the data again.
Read case studyB2B SaaS Sales Team
AI lead scoring increased sales efficiency 40%
Once the underlying warehouse data was trustworthy, we built a product-qualified lead scoring workflow that surfaced the right accounts in the CRM at the right time.
Read case studyPLG SaaS Product Team
Warehouse data turned into a churn-reduction workflow in 3 weeks
The team already had strong models in place. With the data flow and operational handoff tightened up, the first reverse ETL workflow reduced churn by 18% and proved the value of acting on clean data.
Read case studyGo Deeper
Read our guide to AI readiness through data hygiene — the practical checklist for teams whose data needs to be trusted before AI can help.
Read the AI Readiness GuideNeed clarity before you buy another AI tool?
We will tell you honestly whether you are ready for scoring, automation, or copilots — and what to fix first if you are not.
Book a Discovery Call