Assessment
10 min
Data Privacy Readiness
KSA PDPL · GDPR · UK GDPR · AU Privacy Act · India DPDPA · CCPA/CPRA
Start the assessment
Data, AI, and decisioning systems for regulated, data-intensive organisations outside financial services.
For healthcare, energy, public sector, and mid-market.
Organisations sitting on years of operational data with no analytics function. The capability spine that built a national credit bureau — applied at sensible mid-market pricing, without the Big 4 procurement overhead.
Common roadblocks
Is your programme delivering? Common challenges we see in data-intensive organisations.
- To
A team and platform that turn data into decisions
Hired, trained, embedded. Capability transferred to your people — no permanent dependency on us.
- To
Privacy posture aligned to the 2024 reforms
Lawful-basis architecture, DSR workflows under 48 hours, evidence pack ready for the next OAIC enquiry.
- To
AI roadmaps your engineering can actually ship
Honest gap analysis, sequenced foundations work, and a 12-month plan that closes the AI-readiness debt.
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Executive BI that ties out every cycle
Reconciled numbers, explicit definitions, governed semantic layer. The C-suite uses it again.
- To
One entity definition across functions
Customer-360 (or patient-360, asset-360) with shared keys and lineage, auditable across departments.
- To
Operator-grade advice at sensible price
Engagements scoped, delivered, and transferred in weeks — not Big 4 procurement cycles or staffing pyramids.
From
Years of operational data with no analytics function
The data exists, but the team that turns it into decisions doesn't.
Transformation
To
A team and platform that turn data into decisions
Hired, trained, embedded. Capability transferred to your people — no permanent dependency on us.
From
AU Privacy Act amendment readiness gaps
The 2024 reforms raised the bar; many organisations are still operating under old assumptions.
Transformation
To
Privacy posture aligned to the 2024 reforms
Lawful-basis architecture, DSR workflows under 48 hours, evidence pack ready for the next OAIC enquiry.
From
AI initiatives stalling on data foundations
Leadership wants AI; the data doesn't yet support governed deployment.
Transformation
To
AI roadmaps your engineering can actually ship
Honest gap analysis, sequenced foundations work, and a 12-month plan that closes the AI-readiness debt.
From
Dashboards nobody trusts
Numbers move month-to-month for unexplained reasons; the team has stopped relying on the BI.
Transformation
To
Executive BI that ties out every cycle
Reconciled numbers, explicit definitions, governed semantic layer. The C-suite uses it again.
From
Departmental data silos
Operations, finance, clinical/technical functions have separate views of the same entity, and reconciliation is manual.
Transformation
To
One entity definition across functions
Customer-360 (or patient-360, asset-360) with shared keys and lineage, auditable across departments.
From
Big 4 quotes that are too expensive and too slow
The procurement-heavy advisory route doesn't fit mid-market budgets or timelines.
Transformation
To
Operator-grade advice at sensible price
Engagements scoped, delivered, and transferred in weeks — not Big 4 procurement cycles or staffing pyramids.
What we deliver
Six concrete capabilities, applied to data-intensive organisations.
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Cross-sector commercial fluency
Five years rating corporate credits across telco, utilities, property, transport, construction — the financial-modelling depth that builds fast commercial fluency in a new sector.
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Modern data platform & governance
dbt, ClickHouse, Snowflake, BigQuery — modern transformation and warehousing built to handle scale. 200+ DQ rules in production.
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Privacy & lawful-basis architecture
AU Privacy Act, PDPL, GDPR, India DPDPA — privacy regimes designed in from the data model up, not bolted on at the dashboard layer.
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Executive BI that reconciles
Semantic layers and dashboard suites the C-suite actually uses. Numbers that tie out, definitions that are explicit, governance that survives staff turnover.
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AI readiness assessments & roadmaps
Honest diagnosis of whether your data is ready for AI, what the gaps are, and what closing them looks like in months 1–3, 4–6, 7–12.
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Senior advisory at mid-market price
Operator-grade advice without the Big 4 procurement overhead. Engagements that scope, deliver, and transfer ownership in weeks, not months.
Outcomes
What data-intensive organisations actually want from a senior data programme.
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Data your team trusts — quality, lineage, and governance that hold up across departments.
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Privacy posture matched to your jurisdiction — PDPL, AU Privacy Act, GDPR — designed in, not retrofitted.
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AI projects with foundations to actually ship — honest gap analysis and a roadmap your engineering team can execute.
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Executive BI that reconciles — numbers that tie out month-on-month and survive scrutiny.
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Cross-departmental data alignment — operations, finance, clinical/technical functions sharing entity definitions.
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Senior advisory at sensible price — operator pace without the Big 4 overhead.
Why us
The credibility that backs the work.
- 01
National-scale data programme experience
Eight years building and running a regulated-industry data function from scratch.
- 02
Cross-sector financial fluency
Five years rating corporate credits across telco, utilities, property, transport, construction.
- 03
Vendor-neutral senior advice
Fluent across the modern stack — no vendor commissions, no preferred-partner pressure.
Free benchmark
Want to benchmark your own programme against KSA PDPL & GDPR?
Under 10 minutes. Free, personalised report.
What we don't claim.
We don't pretend to have years of healthcare-specific or public-sector-specific delivery experience. What we have is the capability spine — data foundations, governance, ML production, regulatory awareness — applied at national scale in a regulated industry. The first month of any engagement in a new sector is dedicated to learning your operational context. We move fast in that learning because the underlying patterns of regulated data work travel.
Selected work
From cross-sector data delivery.
Sector-specific case studies in healthcare, energy, and public sector will be added as Diagnostics deliver through 2026–2027.
Ways to engage
Three productised paths in.
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Engagement The CDO Diagnostic
2 weeks
Two weeks. A senior assessment of your data, AI, or risk programme — the way a CDO would diagnose it from the inside. You walk away with a 10-page report, an opportunity map, and three quick-win recommendations.
USD $2,500 introductory (first 3 only) / $5,000 standard
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Engagement Data & AI Maturity Audit
4 weeks
Four weeks. A comprehensive maturity audit covering governance, platform fitness, AI readiness, and regulatory exposure. 25-page deliverable, 90-day roadmap, executive workshop. The audit your board needs before signing off on the next data investment.
USD $10,000–$12,000
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Engagement Data & AI Sprint
6 weeks
Six weeks of focused delivery on a single scoped problem. Two named patterns to choose between: Governance Sprint (regulator finding or audit issue) or Readiness Sprint (production ML deployment). Same engagement, two named variants.
USD $15,000–$18,000
Sitting on years of operational data and ready to make it work? Start with a free assessment or a 30-minute scoping call.
No deck, no pitch — we listen, ask hard questions about your operational context, and tell you whether the capability spine we built at national scale fits what you're trying to do.