Are you AI Ready?
Winning with AI isn't about better models. It's about clean, connected, governed data.
Take the free AI readiness assessment to find out if your data is AI ready.
Score Breakdown
Your AI Readiness Profile
Scored across 3 pillars
Stage 2 · Reporting
Biggest gap: Team Alignment
Your CFO and CTO are working from different numbers, with no shared source of truth.
Why AI Ready Data Matters Before You Scale AI
Most AI projects stall.
Strategic ones don't.
The leaders getting real returns from AI made one decision before anything technical: they validated their data foundation first.
- They know exactly what data their AI is querying, and what it isn't.
- Finance and engineering are working from the same numbers.
- When someone asks where a number came from, they can answer in minutes, not weeks.
- Their AI tools are connected to a warehouse actually built to support them.
AI produces answers nobody fully trusts
AI queries a clean, governed warehouse
Finance and engineering argue about the numbers
One source of truth across every team
Weeks to trace where a metric came from
Full data lineage, answered in minutes
AI tools bolted onto a messy stack
Foundation built for AI from day one
Every company sits somewhere on this curve. Where are you?
Most companies we assess land at Stage 2. Find out exactly where you stand. Free, 5 minutes.
Take the AssessmentWe've done this before. In your industry.
“I can see our GPV. I can't see our margin.”
Fintech client — $37B in payments processed, unified in weeks.
80%
of fintech reporting is still manual
Your AI Readiness Score in 12 questions.
4 questions each across three areas. We score each one and combine them into a single readiness profile for your organization.
Data Foundation 4 questions
Is your warehouse structured, clean, and connected enough for an AI layer to query without producing wrong answers?
Data Security 4 questions
When your team uses AI tools and third-party platforms, do you have visibility and control over what data leaves your environment?
Team Alignment 4 questions
Do your CFO and CTO agree on the same numbers, or are there competing definitions and no single source of truth?
The teams who got there first.
“We tried five BI platforms. They looked nice, but each broke down at the hard part: cleaning and structuring data. We learned the hard way that putting a pretty face on disorganized data doesn't solve the problem. Pliable was the only solution that could clean, structure, and display our data within budget, and their team has been every bit as impressive as the product itself.”
Olga Bartnicki
CEO — Design Manager
“We had data in HubSpot, we had data in Pendo, we had data in our production database. But you'd have to go look at it in each place. Different teams were kind of counting on different data. And there was no holistic view of the customer and what was going on. Pliable solved all of that for us without any distractions for our core team.”
Brian Singer
Chief Product Officer — Nobl9
“Pliable has completely changed the game for us. We've templatized our data models and eliminated 80% of the manual data engineering work. Now, instead of getting bogged down in data prep, our entire team is focused on value-added work for our clients. It's exactly the kind of efficient, scalable solution growing businesses like ours need.”
Nate Sheth
CEO — Management One
“Pliable equipped our business leaders with powerful, self-serve analytics and created a space where analysts and decision-makers could genuinely collaborate, transforming data into meaningful outcomes, fast. Working with Pliable sped up our projects by months and lowered our costs to build and maintain our systems in the process.”
Will Incrovato
Associate Director, Digital Products — EF Education First
What if I don't have a Snowflake account?
We're good friends with Snowflake and can spin you up a free account, and even manage it all for you (otherwise you'll need a data engineer).
What even is a semantic layer?
It's a translator between your raw data and the people who don't speak SQL. It's more important than ever if you're trying to use AI with your data — without it, AI tools query columns they've misunderstood and return answers that look right but aren't.
Do I really have to define "Revenue" in five different tables and as many tools?
Not with Pliable. One definition, everywhere. That's the whole point of a governed semantic layer.
How does Pliable clean my data?
With built-in deduping, schema alignment, and ID resolution. Your messy CSVs and disconnected sources are safe with us.
Can Pliable help me use AI without my team needing a PhD?
Yes. Pliable builds the AI-ready foundation — clean, connected, governed data — so your AI tools have something correct to reason on top of.
What if I really like my BI tool?
Keep it. Use Pliable as your single source of truth and connect it to anything that can use Snowflake.
Is support free, or do I need to Google everything?
Chat-based support is included in all plans. We also offer preferred support with SLAs and even a shared Slack channel.
What if I need additional help?
Many customers need analysts and data scientists to get the most out of Pliable. We offer flex-in Pliable experts as part of your subscription.