Built for SaaS ยท B2B2C ยท Multi-Tenant ยท AI ยท DPDP ยท GDPR

Compliance infrastructure for fast-moving SaaS and AI products.

SaaS platforms ship new features, integrations, analytics workflows and AI capabilities while customer data spreads across product databases, logs, support tools, CRMs, warehouses and sub-processors. OpenBlockAI helps SaaS teams manage consent, map data flows, govern sub-processors, reduce raw PII exposure and prove compliance during enterprise procurement.

Run SaaS Data Discovery Assessment
Sub-Processor RegistryAI Privacy ControlsPII-Free LogsEnterprise Evidence

Product Velocity Control Layer

SaaS Reality

Feature releases, AI tools, integrations and support workflows reuse customer data across many systems.

VS

Enterprise Expectation

Buyers ask for DPAs, sub-processor lists, deletion workflows, data maps, AI controls and audit evidence.

OpenBlockAI Resolution

Map product, support, analytics, AI and vendor data flows with Discovery Studio
Govern consent, re-consent, withdrawal and rights workflows with Consentica
Keep raw PII out of logs, support tickets and AI workflows with Privault

Procurement Evidence Ready

Data maps, sub-processor evidence, consent records and access logs ready for enterprise review

Build once. Govern continuously.

A compliance layer for product, legal, security and engineering teams that need to ship fast without losing data visibility or audit evidence.

SaaS data does not stay inside your app.

Every integration, AI feature, CRM sync, support ticket, log stream or analytics pipeline can become a new privacy and compliance exposure point.

Sub-processor accountability

Enterprise customers ask which vendors receive which data, in which country, under which purpose and contract.

Raw PII in logs and tickets

Names, emails, phone numbers, account IDs and support content often appear inside debugging, analytics and support systems.

AI and analytics reuse

LLM prompts, RAG pipelines, embeddings and product analytics may reuse customer data without a mapped purpose and evidence trail.

Deletion and rights complexity

Access, correction, erasure and withdrawal requests become difficult across backups, support tools, exports and sub-processors.

SaaS Scenario

One Feature Launch, Five Systems, One Compliance Evidence Layer

Follow a new AI feature from data discovery to consent, sub-processor mapping and raw PII minimisation.

01

Data Use Identified

Discovery Studio maps which customer data the feature, model, logs and support workflows touch.

02

Purpose Reviewed

Processing purpose, affected users, vendor role and evidence requirements are mapped before launch.

03

Consent Managed

Consentica handles notice, consent, preference updates, withdrawal and rights workflows where required.

04

PII Minimized

Privault tokenises fields before they enter logs, AI prompts, support exports or analytics.

05

Evidence Exported

Security and procurement teams can export sub-processor lists, data maps, consent history and reveal logs.

SAAS DATA CONTROL
ProductAILogsVendorDPO
Feature-aware ยท Tenant-aware ยท Audit-ready

Built for SaaS workflows

From onboarding to AI features โ€” every workflow where product evolution touches personal data.

B2B SaaS

Sub-Processor Registry

Maintain a live list of vendors mapped to data categories, purpose, region and contract evidence.

DPAready annexes
AI

AI Data Use Review

Map prompts, logs, embeddings and model-connected workflows before shipping new features.

PIIminimised
Support

PII-Free Logs and Tickets

Tokenise sensitive fields before they enter logs, support tools, exports and debugging workflows.

Tokencontrolled reveal
Enterprise Sales

Procurement Evidence Packs

Export data maps, sub-processor records, consent history, deletion workflows and access evidence.

Auditready

OpenBlockAI capabilities for SaaS compliance

Discovery Studio for Product Data Maps

Discover personal data across product databases, CRMs, support systems, logs, warehouses, cloud folders and vendors.

Discovery

Consentica for Consent and Rights

Manage purpose-based consent, privacy centre workflows, withdrawal, rights requests and downstream sync.

Consent

Privault for Logs, Support and AI

Tokenise PII before it enters logs, support tools, AI prompts, RAG pipelines, exports or analytics.

Tokenisation

Sub-Processor Governance

Map vendors to data categories, processing purposes, regions, contracts and audit evidence.

Vendors

Tenant-Aware Policy Controls

Support customer-specific policy sets, consent rules and procurement requirements across B2B and B2B2C products.

Multi-Tenant

Evidence for Enterprise Review

Prepare security questionnaire, DPA, procurement and audit evidence without manually stitching screenshots and spreadsheets.

Evidence

Deep-Dive Use Case: AI Feature Compliance Readiness

A new AI feature may touch support tickets, account history, usage logs, prompts, embeddings and third-party AI vendors.

The Scenario

A SaaS team launches an AI summarisation feature that reuses existing customer support data:

Product โ†’ Support โ†’ LLM โ†’ Logs โ†’ Enterprise Buyer

Without a data map, the team cannot prove which data entered the model workflow or how PII was controlled.

The OpenBlockAI Solution

OpenBlockAI maps the AI data flow, governs consent and minimises raw PII before data reaches prompts or logs.

  • Discovery Studio maps affected fields, systems and vendors
  • Consentica manages notices, consent, preference and rights workflows
  • Privault tokenises PII before prompts, logs or support exports
  • Evidence packs support procurement, security review and audit

Outcome: Ship AI features with mapped data use, controlled PII exposure and evidence for enterprise buyers.

Build SaaS compliance infrastructure buyers can trust

Map data, govern consent, reduce raw PII exposure and prepare evidence for enterprise procurement.

Request SaaS Demo

Frequently Asked Questions

SaaS buyers care about enterprise procurement, DPAs, sub-processors, AI data use, logs, deletion, security reviews and audit evidence. DPDP is one compliance driver, but the page should sell the full industry solution.