Data Audit & Readiness Assessment
Audit current data assets and systems to uncover quality gaps, coverage holes, and compliance risks. Ideal for teams that don’t know what’s in their data warehouse—or if it’s even usable.
Fix Data Before It Breaks Your AI
Is your data ready for automation?
Most AI and automation projects fail not because of the technology—but because the data isn’t clean, consistent, or even known. According to a dbt Labs survey, over 50% of data teams cite poor quality and unclear ownership as their top barriers. That’s why the smartest companies don’t skip the first step: a comprehensive data audit.
Before you deploy AI, discover what you’re working with.
Inventive’s Data Audit & Readiness Assessment uncovers hidden issues that stall AI projects—like incomplete records, conflicting definitions, and siloed systems. We evaluate your current data infrastructure, map data sources, assess quality and coverage, and deliver a prioritized action plan. No guesswork. No wasted investments.
This isn’t just a checklist. It’s a transformation catalyst.
Our assessment doesn’t stop at documentation—it’s built to drive action. We blend technical audits with business impact scoring to show exactly where poor data is costing you accuracy, time, and money. We’ve helped clients uncover 30% redundant records, identify six-figure compliance risks, and reduce prep time by 40%—before writing a single line of AI code.
Unlike traditional firms, we don’t just grade your data—we get it ready for intelligence.
Inventive pairs audit expertise with AI and automation implementation. That means our assessments are built to lead directly into activation. We embed AI-readiness scoring, automation potential mapping, and fast-start integration options so you’re not stuck in analysis paralysis. And if you move forward with us, your audit fee can roll into the next phase.
While your competitors automate, each day of bad data costs you.
Poor data isn’t just inefficient—it’s expensive. Every duplicate record, broken pipeline, or missing field degrades AI accuracy and decision-making. If you’re planning a digital transformation, don’t let your foundation sink the structure. Start with clarity, act with confidence.
You can’t fix what you can’t see.
We thought our data was ‘fine.’ Turns out we had three billing systems and no owner. This saved our AI project.
CTO, Regional Retail Chain
Fix Data Before It Breaks Your AI
- You discover new data sources every time someone opens a spreadsheet.
- Nobody can answer "Where's the source of truth?" without sweating.
- Your AI vendor just asked for clean data, and your soul left your body.
of professionals
Struggle most with poor data quality
Bad data = broken AI. Our audit stops the madness before it starts.
of SMBs
Lack clear data ownership
Our audits spotlight who’s responsible—and where your risk lives.
projects
Low-friction, high-conversion entry point
An accessible way for clients to dip into data services (and often stay for more).
