Contact

Let’s Talk About Your Data & AI Roadmap

Share a bit about your organisation, your current challenges, and what you’d like to achieve. You’ll get a thoughtful, honest response—no spam, no generic sales pitch.

Send a Message

Use the form below to outline your situation. If it’s a good fit, we’ll propose a time for a call.

Other Ways to Get in Touch

Email
[email protected]

Typical response time
1–2 business days.

Location
UK & Remote, working with clients across Europe.

  • Public sector, higher education, and enterprise clients
  • Engagements from short assessments to full platform builds
  • No hard sell, no outsourcing without your knowledge
WordPress WordPress
Your details are kept confidential and will only be used to respond to your enquiry.

🎯 Interactive AI-Ready Assessment

Answer 30 questions to discover your AI readiness score

📊 Section 1: Data Quality & Discovery

⚠️ Qualifying Check: If you answer NO to all three, this section scores 0

1. Data Accuracy: Do you know your critical datasets are correct?
0 Not at all
1 Planned
2 Minimal
3 Partial
4 Mostly
5 Fully
2. Data Completeness: Are mandatory fields populated?
0
1
2
3
4
5
3. Data Consistency: Does same entity match across systems?
0
1
2
3
4
5
4. Data Timeliness: Is data refreshed fast enough for AI use cases?
0
1
2
3
4
5
5. Data Validity: Are values enforced against rules?
0
1
2
3
4
5
6. Data Uniqueness: Are duplicates detected and resolved?
0
1
2
3
4
5
7. Data Integrity: Are relationships preserved (no orphan records)?
0
1
2
3
4
5
8. Data Lineage: Can you trace where data originated?
0
1
2
3
4
5
Section 1 Score
0 / 40 (0%)
⚙️ Section 2: Data Pipelines & Reliability

⚠️ Qualifying Check: If you answer NO to all, this section scores 0

1. Are data pipelines fully automated (no manual fixes)?
0
1
2
3
4
5
2. Do pipelines have SLAs and monitoring?
0
1
2
3
4
5
3. Are failures detected and alerted in real-time?
0
1
2
3
4
5
4. Can you replay/recover data after pipeline failure?
0
1
2
3
4
5
Section 2 Score
0 / 20 (0%)
🔐 Section 3: Governance & Security

⚠️ Qualifying Check: If you answer NO to all, this section scores 0

1. Are data ownership and stewardship formally defined?
0
1
2
3
4
5
2. Are access controls enforced (RBAC/ABAC)?
0
1
2
3
4
5
3. Is sensitive data protected (PII, GDPR, HIPAA)?
0
1
2
3
4
5
4. Are governance policies actually enforced?
0
1
2
3
4
5
5. Are audit logs available for all data access?
0
1
2
3
4
5
Section 3 Score
0 / 25 (0%)
🗺️ Section 4: Metadata & Lineage
1. Can users discover datasets without asking people?
0
1
2
3
4
5
2. Is technical lineage automatically captured?
0
1
2
3
4
5
3. Can you perform impact analysis before making changes?
0
1
2
3
4
5
4. Can you explain any metric to a regulator?
0
1
2
3
4
5
Section 4 Score
0 / 20 (0%)
📊 Section 5: Monitoring & Drift Detection
1. Do you have data quality dashboards?
0
1
2
3
4
5
2. Are quality thresholds defined and enforced?
0
1
2
3
4
5
3. Is data drift detected automatically?
0
1
2
3
4
5
4. Are anomalies flagged before downstream impact?
0
1
2
3
4
5
Section 5 Score
0 / 20 (0%)
🏗️ Section 6: Architecture & Scale
1. Does architecture support AI experimentation AND production?
0
1
2
3
4
5
2. Can it scale 5-10× without redesign?
0
1
2
3
4
5
3. Is security built-in (not bolted on)?
0
1
2
3
4
5
4. Are feature stores available or planned?
0
1
2
3
4
5
Section 6 Score
0 / 20 (0%)