Data Architecture Review
Where your data lives, how it flows between systems, and where the gaps create blind spots. A complete map of your current infrastructure.
- All revenue systems mapped
- Data flow documentation
- Gap identification
Before you invest in AI tools or consultants, know what's actually possible with your current data infrastructure. A structured assessment that cuts through the hype and tells you exactly where you stand.
Most companies have questions about AI. Few have answers about their data.
You've seen the demos. You've heard the hype. But you don't know if AI would actually work with your systems and data.
A scored assessment across five dimensions, showing exactly where your data infrastructure supports AI and where the gaps need closing first.
Your data lives in multiple systems. Some of it's old. Some of it's incomplete. You suspect it's not good enough for AI.
Quantified assessment of data accuracy, completeness, and consistency across your key revenue systems. No more guessing.
Data lives in CRM, ERP, spreadsheets, and tools nobody remembers setting up. Getting a complete picture feels impossible.
A clear map of your data architecture: where data lives, how it flows between systems, and where the integration gaps create blind spots.
Everyone has ideas about what AI could do. But which ones are realistic, which are fantasy, and where should you start?
Realistic AI use cases mapped to your specific business and data, with a prioritised roadmap showing what to tackle first.
You've seen the demos. You've heard the hype. But you don't know if AI would actually work with your systems and data.
A scored assessment across five dimensions, showing exactly where your data infrastructure supports AI and where the gaps need closing first.
Your data lives in multiple systems. Some of it's old. Some of it's incomplete. You suspect it's not good enough for AI.
Quantified assessment of data accuracy, completeness, and consistency across your key revenue systems. No more guessing.
Data lives in CRM, ERP, spreadsheets, and tools nobody remembers setting up. Getting a complete picture feels impossible.
A clear map of your data architecture: where data lives, how it flows between systems, and where the integration gaps create blind spots.
Everyone has ideas about what AI could do. But which ones are realistic, which are fantasy, and where should you start?
Realistic AI use cases mapped to your specific business and data, with a prioritised roadmap showing what to tackle first.
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A structured assessment across six dimensions. Not a generic checklist, but a methodology refined through dozens of data infrastructure projects.
Where your data lives, how it flows between systems, and where the gaps create blind spots. A complete map of your current infrastructure.
Accuracy, completeness, and consistency scored across your key systems. The foundation AI needs to deliver real results.
How well your systems talk to each other. Where data gets stuck, duplicated, or lost. The integration maturity that AI depends on.
Realistic AI use cases for your specific business. Not generic hype, but practical applications that your data can actually support.
Is your data protected and compliant? AI amplifies both the value and the risk of your data. We assess both.
Tools are only part of the picture. Does your team have the skills, processes, and mindset to succeed with AI? We assess the human side.
A structured week that gives you clarity without disrupting your team.
90-minute session to understand your systems, goals, and what you're hoping AI can achieve. We scope the assessment to your specific context.
We audit your data architecture, review integrations, assess data quality, and map the landscape. Minimal disruption to your team.
Your AI Readiness Scorecard arrives: scores across all five dimensions, identified gaps, and a prioritised roadmap.
60-minute call to walk through findings, discuss AI opportunities, and plan next steps. You leave with clarity and options.
For companies with a single core system who want a focused assessment of their AI readiness fundamentals.
The full AI & Data Readiness Assessment. Comprehensive evaluation across all five dimensions with strategic recommendations.
For complex organisations or those preparing for significant AI investment. Board-ready reporting and implementation guidance.
The Assessment gives you clarity and options. Here's what typically happens next.
Take the Readiness Scorecard and roadmap to your team. The recommendations are specific enough to act on without us.
If the assessment reveals data quality issues, integration gaps, or architecture problems, our data engineering team can fix them.
Ready to move beyond assessment? We build custom AI solutions for revenue operations: intelligent automation, data enrichment, and conversational AI.
No. We assess your readiness to benefit from AI, regardless of whether you've started or not. In fact, companies who assess before buying tools make better decisions and avoid wasted investment.
7 working days from kick-off to strategy call. Day 1 is the kick-off call, Days 2-4 we conduct the audit, Day 5 you receive the Scorecard, and we schedule the strategy call within the following week.
A 90-minute kick-off call and access to your core systems (typically read-only). We do the heavy lifting. Most clients spend less than 3 hours total on this.
Focused is right if you have a single core system and want a targeted assessment. Standard is right for most mid-market companies who want the full picture. Enterprise is right if you have complex infrastructure, multiple business units, or need board-ready reporting.
That's useful information. The Assessment gives you a prioritised roadmap for closing gaps. You can work through it yourself, engage us for data engineering or integration work, or use it to brief other vendors. The findings are yours to use however you choose.
No. We're system-agnostic. While we're a HubSpot Diamond Partner, we assess and work with whatever systems you have: Salesforce, Dynamics, custom platforms, or any combination.
No. Our pricing is fixed and transparent. This protects both of us: you know exactly what you're paying, and we can deliver without cutting corners. If the investment doesn't make sense now, the service will still be here when it does.
If you proceed to a Data Engineering engagement or AI Agent Development project within 60 days, we'll credit the Assessment fee against your first invoice. This doesn't apply to the Focused tier.
This isn't a generic AI readiness survey. It's a methodology developed by engineers who build data infrastructure and AI solutions for mid-market companies.
We've delivered 50+ data and integration projects. We know what AI-ready infrastructure actually looks like because we build it.
Top 4% of HubSpot partners worldwide
Certified for complex systems integrations
Real data engineering capability, not just configuration