Building AI Readiness from the Ground Up
Tackling the hidden blocker to AI adoption: human errors in data
The Hidden Threat to AI
Human errors quietly undermine every dataset: spreadsheets, CRM entries, ERP systems, even board reports. The key information that businesses rely on is riddled with mistakes:
- 90% of spreadsheets contain errors
- Only 50% of errors are ever caught manually
- 72% of professionals admit they don’t check the data they input
- Fewer than 1% of companies have any dedicated spreadsheet risk management
As AI adoption accelerates, the cost of bad data compounds. Gartner makes it simple:
“If your data isn’t ready for AI, you’re not ready for AI.”
Gartner Group 2025
Our Mission
We exist to ensure organisations become AI-ready by stopping human errors at the source, before they poison downstream systems, reports, or models.
AI Native, AI First
We put AI at the core of everything we do — from our products to our culture, so people and AI achieve more together.
Introducing DataCheckr AI
Our flagship product line starts with DataCheckr AI for Excel – the world’s first AI-powered data checking agent designed to catch and correct human errors in spreadsheets.
- Runs as an Excel add-in with a native sidebar, fully integrated into Microsoft 365
- Identifies common errors and guides users to resolve
- Requires no prior setup or training data
- Needs no knowledge of the user’s data
- Learns from user interactions to continuously improve
The HEAT Engine
At the heart of DataCheckr AI is our Human Error AI-powered Trapping (HEAT) engine:
- Monitors every entry at the point of input (edge processing)
- Flags suspicious values in real time
- Learns from user interactions to deliver more personalised and accurate error checking with each use
- Provides oversight for both individuals and teams
What Norton Anti-Virus did for data security, DataCheckr AI does for data integrity – an always-on companion guiding users to cleaner inputs in real time.
The Market Opportunity
Scale of the Challenge
Data entry is universal — and universally error-prone:
- Over 1 billion Excel users worldwide
- 2 million+ companies use Microsoft 365
- 700 million Google Sheets users add to the problem
- Each office worker has an average of 2.6 spreadsheets open at any time
Escalating Cost of Errors
The 1:10:100 rule of data quality is simple:
- Fixing an error at entry costs 1×
- Fixing it once it’s in a system costs 10×
- Fixing it after it drives reporting or AI models costs 100×
Find out more about the Excel Conundrum
Unique Model for User Adoption
- Full functionality free forever for individual users. No freemium
- Paid editions for corporate teams
- Contracts unlock team oversight, collaboration, ticketed support, SLAs, and advanced training
- Future expansion into a broader spectrum of enterprise applications (ERP, CRM, HR systems)
Roadmap
- DataCheckr AI for Excel — continuous error-trapping for spreadsheet data
- CRM/ERP Integrations — vendor-specific add-ins to expand coverage
- Advanced ML Features — correlated value checking, personalised error traps
- Vertical Use Cases — healthcare, finance, and other mission-critical domains
Our path is clear: start with Excel, expand to every data entry system.
The Leadership Team
Richie Saville
Founder & CTO
A serial technology entrepreneur with over 30 years of experience building and scaling software companies across the US, UK, and Europe, Richie brings a rare combination of technical depth and business leadership.
Craig Decker
Co-Founder & CEO
With over 25 years leading global sales organisations at companies such as Cisco and BroadSoft, Craig brings deep experience in scaling technology businesses.
Norm Thomas
Co-Founder & COO
With over 30 years leading digital transformation across global enterprises and start-ups, Norm brings a depth of experience in shaping technology strategy and operational direction.