Quick Win Service

Is your data
ready for AI?

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.

Abbott Laboratories logoCIPD logoLivaNova logoHealix LogoGunnebo LogoUniversity of West LondonCloserStill Media LogoMention Me logoFeefo logoEcommpay LogoSuperior Press logoThought Leaders 4WayPoint PartnersTussell LogoUnily LogoUtilize LogoArdmacCauseway logoSadel GroupTrue Student LivingStudent FM logoLeaders Romans GroupSpriftIncome AnalyticsConnect Vending LogoRoar B2BSIGOS logoTentbox logoZeroAviaproAlpha logoIcon Solutions logoVantagePoint Consulting logoConway ConsultingPetExec LogoBuyaPowa LogoVableStakeholderzAbbott Laboratories logoCIPD logoLivaNova logoHealix LogoGunnebo LogoUniversity of West LondonCloserStill Media LogoMention Me logoFeefo logoEcommpay LogoSuperior Press logoThought Leaders 4WayPoint PartnersTussell LogoUnily LogoUtilize LogoArdmacCauseway logoSadel GroupTrue Student LivingStudent FM logoLeaders Romans GroupSpriftIncome AnalyticsConnect Vending LogoRoar B2BSIGOS logoTentbox logoZeroAviaproAlpha logoIcon Solutions logoVantagePoint Consulting logoConway ConsultingPetExec LogoBuyaPowa LogoVableStakeholderz

What the Assessment reveals

Most companies have questions about AI. Few have answers about their data.

Without SpotDev

What you're uncertain about

With SpotDev

What you'll know

"Can we actually use AI?"

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.

AI Readiness Scorecard

A scored assessment across five dimensions, showing exactly where your data infrastructure supports AI and where the gaps need closing first.

"Our data's probably not ready"

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.

Data Quality Score

Quantified assessment of data accuracy, completeness, and consistency across your key revenue systems. No more guessing.

"Everything's in different systems"

Data lives in CRM, ERP, spreadsheets, and tools nobody remembers setting up. Getting a complete picture feels impossible.

Integration Architecture Map

A clear map of your data architecture: where data lives, how it flows between systems, and where the integration gaps create blind spots.

"We don't know where to start"

Everyone has ideas about what AI could do. But which ones are realistic, which are fantasy, and where should you start?

AI Opportunity Roadmap

Realistic AI use cases mapped to your specific business and data, with a prioritised roadmap showing what to tackle first.

Without SpotDev

"Can we actually use AI?"

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.

With SpotDev

AI Readiness Scorecard

A scored assessment across five dimensions, showing exactly where your data infrastructure supports AI and where the gaps need closing first.

Without SpotDev

"Our data's probably not ready"

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.

With SpotDev

Data Quality Score

Quantified assessment of data accuracy, completeness, and consistency across your key revenue systems. No more guessing.

Without SpotDev

"Everything's in different systems"

Data lives in CRM, ERP, spreadsheets, and tools nobody remembers setting up. Getting a complete picture feels impossible.

With SpotDev

Integration Architecture Map

A clear map of your data architecture: where data lives, how it flows between systems, and where the integration gaps create blind spots.

Without SpotDev

"We don't know where to start"

Everyone has ideas about what AI could do. But which ones are realistic, which are fantasy, and where should you start?

With SpotDev

AI Opportunity Roadmap

Realistic AI use cases mapped to your specific business and data, with a prioritised roadmap showing what to tackle first.

Swipe to explore

What's included

Six dimensions of AI readiness

A structured assessment across six dimensions. Not a generic checklist, but a methodology refined through dozens of data infrastructure projects.

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

Data Quality Assessment

Accuracy, completeness, and consistency scored across your key systems. The foundation AI needs to deliver real results.

  • Quantified quality scores
  • Cross-system consistency
  • Data decay analysis

Integration Gap Analysis

How well your systems talk to each other. Where data gets stuck, duplicated, or lost. The integration maturity that AI depends on.

  • All integrations reviewed
  • Data silo identification
  • Sync health analysis

AI Opportunity Mapping

Realistic AI use cases for your specific business. Not generic hype, but practical applications that your data can actually support.

  • Business-specific use cases
  • Feasibility assessment
  • ROI potential scoring

Governance & Security Review

Is your data protected and compliant? AI amplifies both the value and the risk of your data. We assess both.

  • GDPR readiness check
  • Access control review
  • Data lineage assessment

Organisational Readiness

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.

  • Skills gap analysis
  • Process readiness
  • Change capacity assessment

How it works

A structured week that gives you clarity without disrupting your team.

Scroll to explore all five phases
1

Kick-off Call

90-minute session to understand your systems, goals, and what you're hoping AI can achieve. We scope the assessment to your specific context.

2

Architecture & Integration Audit

We audit your data architecture, review integrations, assess data quality, and map the landscape. Minimal disruption to your team.

3

Scorecard Delivered

Your AI Readiness Scorecard arrives: scores across all five dimensions, identified gaps, and a prioritised roadmap.

4

Strategy Call

60-minute call to walk through findings, discuss AI opportunities, and plan next steps. You leave with clarity and options.

Choose your Assessment

All tiers use the same five-dimension methodology. The difference is scope, depth, and strategic support.

Focused

£3,500

For companies with a single core system who want a focused assessment of their AI readiness fundamentals.

  • Single system focus (e.g., HubSpot or CRM)
  • Core data quality assessment
  • Key integration review
  • AI Readiness Scorecard
  • 30-minute findings call

Standard

£5,000

The full AI & Data Readiness Assessment. Comprehensive evaluation across all five dimensions with strategic recommendations.

  • Full data architecture review
  • All revenue systems assessed
  • Complete integration gap analysis
  • AI opportunity mapping with use cases
  • Governance and security review
  • Organisational readiness assessment
  • Prioritised roadmap
  • 60-minute strategy call
  • 2-week email support

Enterprise

£8,500

For complex organisations or those preparing for significant AI investment. Board-ready reporting and implementation guidance.

  • Everything in Standard
  • Multi-business-unit assessment
  • Data warehouse readiness evaluation
  • Vendor-neutral AI tool recommendations
  • Executive summary for board/leadership
  • Implementation roadmap with effort estimates
  • 90-minute strategy workshop (up to 5 attendees)
  • 4-week email and call support
  • Priority scheduling
After the Assessment

What you can do with the findings

The Assessment gives you clarity and options. Here's what typically happens next.

Use the findings yourself

Take the Readiness Scorecard and roadmap to your team. The recommendations are specific enough to act on without us.

  • Clear priorities
  • No ongoing commitment

Data Engineering engagement

If the assessment reveals data quality issues, integration gaps, or architecture problems, our data engineering team can fix them.

  • Data pipeline development
  • Integration engineering

AI Agent Development

Ready to move beyond assessment? We build custom AI solutions for revenue operations: intelligent automation, data enrichment, and conversational AI.

  • Custom AI development
  • CRM-integrated solutions

Common questions about the AI & Data Readiness Assessment

300+projects delivered

Built by engineers who do the work

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.

Diamond-Tier Partner

Top 4% of HubSpot partners worldwide

Integration Accredited

Certified for complex systems integrations

In-house Data Engineers

Real data engineering capability, not just configuration

Rigorously Audited by HubSpot

Code Quality Review
Delivery Process Audit
Case Study Verification
Client References

Ready to find out if your data can support AI?

Book an AI & Data Readiness Assessment. You'll have clarity within a week.