Governance core
Authoritative assets connected to processing, assessments, rights, vendors, policies, retention, incidents and AI records.
Connect discovery, decisions, delivery and evidence across one intelligent operating system.
Ask richer role, sector, geography and scenario-aware questions.
One Platform. Total Intelligence. One Bigger Picture.
Every signal is connected to a record, owner, decision, deadline and output. The dashboard is not a decorative layer. It is a route into governed work.
The Information Asset Register is not an isolated inventory. It is the shared evidence spine that lets a change in an asset inform the records, owners, risks, actions and reports that depend on it.
AI system trains on, retrieves or produces the asset
System, model, dataset, agent, lifecycle gate and evidence
AI risk classification and deployment assurance
The live v69.2 HTML preserves connected records in the user's current browser. Authenticated shared databases, enterprise connectors and cross-device synchronisation form part of production full-stack deployment, not a claim made for this standalone demonstration build.
Search the current product architecture and open any module to inspect its controls, reports and measurable outcomes.
A coached multi-programme delivery system joining the 291-control privacy transformation plan, the 150-control AI Governance programme and the Data Retention implementation pathway through common owners, evidence, dependencies, milestones and executive cadence.
Run privacy, AI Governance and Data Retention as owned, phased and measurable programmes.
Evidence becomes memory. Memory improves decisions. PRIVASTU connects operational facts, strategic lenses and role-aware questions without claiming that the system trains itself.
Where is privacy maturity moving in the wrong direction?
RoPA · DSAR · Policies · Vendors · Incidents · Learning
Maturity scorecard with trend movement, affected functions and a sequenced intervention plan.
The selected framework changes the analysis. It does not merely relabel the same generic answer.
Systems, data, vendors, laws, risks and evidence connect.
Role, sector, geography and dependency sharpen the question.
Analysis distinguishes urgency, opportunity and affected populations.
Recommendations gain owners, dates, decisions and outcomes.
Saved pathways and completed programmes build decision memory.
A 0 to 36-month coached multi-programme system for Privacy Transformation, AI Governance and Data Retention with best-practice delivery views and evidence built into every stage.
PRIVASTU brings the AI estate, 150-control delivery programme, evidence, people, infrastructure, regulatory intelligence and executive assurance into one connected operating environment. It is designed to support accountable judgement, not replace it.
The Hub joins discovery, inventory, assessment, controls, evidence, human assurance, technical infrastructure, change and deployment. Each workspace operates on the same governed context so a finding can become an owned action then a measured control and finally a defensible report.
DiscoverUse, data and dependencies
DecideClassify, assess and approve
DeliverControls, owners and evidence
DeployGate, monitor and change
AssureTest, report and improve
Create the governed AI estate and make current exposure visible.
Track programme maturity, accountable ownership, evidence and unresolved exposure across the full AI governance environment.
A configurable 36-month programme translates AI governance into owned work. Every control can carry the question, objective, actions, owner, RACI, dependencies, legal and framework references, evidence, progress, residual risk and next step needed to run it.
Establish the estate, accountability, risk appetite and baseline.
Define the operating model then close priority control gaps.
Embed controls, evidence and cross-functional workflow.
Test effectiveness, report posture and improve the programme.
The control model spans governance, rights, high-risk systems, data, technical documentation, human oversight, safety, GPAI, supply chain, operations, incidents, literacy and assurance.
Track behavioural risk, sustained use, workforce confidence, AI literacy and whether human reviewers have the expertise, time, authority and psychological safety to challenge a system.
Model, prompt, RAG, vendor, API, data, permission, autonomy, purpose and region changes can trigger proportionate reassessment before a documented GO, CONDITIONAL GO or HOLD decision.
Fifteen role packs, 75 governed questions and seven strategic lenses help teams interrogate live context then produce executive, governance, discovery, infrastructure and human-assurance outputs.
Open the working map to select infrastructure nodes, trace governed flows, inspect sovereignty routes, simulate concentration and resilience scenarios then move directly into the supporting register and reports.
12 domains → 291 controls → ownership → delivery → assurance
15 domains → 150 controls → twelve sprints → deployment assurance
Inventory → rules → holds → disposition → destruction evidence
Every named report and governed output across 20+ connected modules and 26 operational screens is individually available, including the complete 46-report AI Governance portfolio and the v69.2 Asset Evidence Pack. Open any item as a high-end executive edition, switch to structured working detail then download a standalone premium HTML or print it to PDF.
Premium output readyEvery template carries executive summary, metrics, findings, decisions, actions, evidence and interpretation guardrails.
Connected posture · decisions · evidence · next action
A concise RAG view of material risks, live measures, decisions required and DPO commentary.
Response time, backlog, verification, extensions and escalation across the rights pipeline.
Chronology, 72-hour status, notification decisions, root causes and remediation evidence.
Processing coverage, legal bases, sensitive data, transfers and DPIA triggers.
Risk tiers, DPA coverage, due diligence, fourth parties and unresolved assurance.
Completion, pass rates, overdue learners and high-risk role coverage.
High-risk assessments, DPO advice, approvals, reviews and consultation triggers.
Portfolio posture across systems, agents, assessments, controls, evidence, people, infrastructure and deployment readiness.
Policy coverage, approval, attestation, scheduled review and mapped control gaps.
Proof integrity, expiry, withdrawal, suppression and purpose alignment.
Schedule coverage, deletion, exceptions, legal holds and system implementation.
Legislative change, regulator signals, AI milestones and action deadlines.
Guidance appears at the point of judgement. Teams can run existing pathways or build their own visual decision trees without losing expert review.
Article 6 guided decision
High-risk processing triage
Reasoned period and action
72-hour decision pathway
Chapter V control route
Your method. Preserved and reusable.
Category leaders proved the suite. PRIVASTU expands the value equation with a clearer operating model for turning governance work into delivery, intelligence and reusable evidence.
PRIVASTU embeds the perspective of a former Information Commissioner and senior Group DPO with years spent buying, testing and operating privacy technology. The result is software shaped around the work that must actually be completed and the evidence leaders must be able to defend.
Move from a rapid mobile product view to a complete investor and strategic buyer narrative. Every walkthrough is mobile-first and independently shareable.
A polished mobile-first view of the wider PRIVASTU product.
Open mobile.BETA →02A guided explanation of the connected platform and its operating model.
Start overview →03The challenger case for programmed delivery, intelligence and evidence.
Explore the value →04The category thesis, compounding value and acquisition logic.
Open investor view →See how PRIVASTU can connect the work, coach the programme and turn governed context into better decisions.