Services
Advisory offers aligned to your data and AI risk priorities
Data Factorial delivers scoped engagements with clear outputs — so Australian leadership teams can govern sensitive data, vendors, and AI without generic playbooks.
Choosing an offer
How to choose the right entry point
Match urgency and depth to where you are in the cycle — alignment before capital spend, evidence before AI scales, trust readiness before enterprise deals, vendor clarity before exposure compounds, and fractional support when initiatives would otherwise drift.
Offers
Assessment packages and advisory engagements
Each offer includes named outputs and a clear scope conversation before work begins.
Data & AI Risk Discovery Workshop
A structured leadership session to align on sensitive data, AI use, vendor exposure, and what “safe and governed” means for your business.
Best for
Executive and extended leadership teams that need a fast, shared picture before committing to deeper assessment or remediation.
Problem solved
Misalignment on where sensitive data sits, how AI is used, and what “good enough” governance looks like for your context.
Typical scope
- Stakeholder alignment workshop (typically half-day)
- Review of business objectives and regulatory or customer pressures
- Structured discussion across data, systems, vendors, and AI use cases
- Facilitation toward agreed priorities and next-step options
Typical outputs
- Shared themes and priority risks acknowledged by the room
- Options for a flagship assessment, vendor deep dive, or roadmap engagement
- Suggested sequencing if multiple offers apply
AI & Sensitive Data Risk Assessment
A focused assessment of sensitive data exposure, governance gaps, vendor touchpoints, and AI readiness — with executive-ready outputs.
Best for
Mid-market and regulated-adjacent organisations where AI adoption or sensitive data exposure needs an independent, evidence-backed baseline.
Problem solved
Uncertainty about where the greatest harm sits across people, process, technology, vendors, and emerging AI use.
Typical scope
- Structured interviews with leadership and technical owners
- Review of sensitive data flows, access patterns, and governance artefacts
- Vendor and SaaS touchpoints tied to material data
- AI readiness view aligned to how models and prompts are actually used
Typical outputs
- Executive summary and prioritised risk themes
- Scorecard-style view across agreed dimensions
- Risk register seeds and remediation roadmap themes
- Materials suitable for board or ELT discussion
Enterprise Customer Trust Readiness Review
Prepare for enterprise procurement, security questionnaires, and customer diligence with evidence-backed clarity on data handling and controls.
Best for
Vendors and SaaS providers selling into enterprises or regulated buyers where questionnaires and security reviews gate revenue.
Problem solved
Last-minute scrambling on questionnaires, inconsistent answers across teams, and gaps between marketing claims and operational reality.
Typical scope
- Review of customer-facing commitments vs actual handling practices
- Mapping of controls and evidence owners across the organisation
- Alignment on subprocessors, data locations, and retention
- Prioritised gaps that commonly surface in diligence
Typical outputs
- Internal narrative and FAQ-style alignment for sales and security responses
- Gap list with severity and ownership hints
- Themes for remediation before high-stakes deals
Vendor & SaaS Data Exposure Review
Map where SaaS and vendor relationships intersect sensitive data, access, and subprocessors — and where blind spots create exposure.
Best for
Organisations with a broad SaaS footprint where sensitive data leaves controlled core systems.
Problem solved
Shadow IT, unclear subprocessors, and excessive sharing that compounds vendor and AI-related data risk.
Typical scope
- Discovery of material SaaS and vendor relationships
- Review of identity, sharing, API, and integration patterns
- Subprocessor and data-flow visibility where available
- Prioritisation by sensitivity and business impact
Typical outputs
- Consolidated vendor and touchpoint map
- Exposure themes (e.g. oversharing, weak offboarding, unclear retention)
- Governance actions for procurement and technical owners
Fractional Data & Technology Risk Advisor
Ongoing executive advisory to steer data governance, AI guardrails, vendor decisions, and risk reporting between major projects.
Best for
Leadership teams that need steady, independent counsel without a full-time executive hire.
Problem solved
Fragmented decisions, stalled governance, and reporting that does not keep pace with AI and vendor change.
Typical scope
- Regular touchpoints (typically monthly, scoped to your cadence)
- Steering on vendor, architecture, and AI guardrail choices
- Support for risk registers, roadmaps, and executive narratives
- Ad hoc escalation on incidents, diligence, or board prep
Typical outputs
- Repeatable executive and board-ready framing
- Tracked themes across vendor, data, and AI risk
- Lightweight artefacts that fit how your organisation already meets
Next step
Book a discovery call to confirm scope and sequencing
We will recommend one primary entry point — and where a second offer should follow — based on triggers, stakeholder readiness, and commercial timing.