Use Cases
AI governance is not one-size-fits-all. See how organisations in your industry use Verisum to build trust, meet regulation, and move faster.
Ship AI products your customers can trust
Technology companies embedding AI into their products face mounting pressure from enterprise buyers, regulators, and partners to prove their systems are governed responsibly. Identity alone does not equal intent — IAM verifies accounts but cannot prove whether a human actually authorised an AI action. Verisum gives you the infrastructure to demonstrate governance maturity, scope AI delegation, and produce verifiable evidence before the deal stalls.
Outcome:Close enterprise deals faster with verifiable proof of responsible AI — not just a PDF on a landing page.
The Challenge
- Enterprise procurement teams demanding AI governance evidence before signing
- Keeping pace with the EU AI Act, UK AI Code, and sector-specific regulations
- Scaling governance across multiple AI models, copilots, and agentic workflows
- No way to prove human authorisation behind AI agent actions — audit logs show who, not whether
How Verisum Helps
- Run TrustOrg assessments to benchmark governance maturity and share results with prospects
- Auto-generate AI policies aligned to your product stack and regulatory obligations
- Issue scoped, time-bound delegation credentials for AI agents with instant revocation
- Anchor governance decisions on-chain for tamper-proof, cryptographic proof that travels with the product
Govern AI across the content lifecycle
AI content proliferation without human accountability is reshaping media. From newsroom copilots to recommendation engines and audience analytics, organisations risk reputational damage, editorial bias, and regulatory exposure. Verisum provides human-anchored provenance so audiences, regulators, and partners can verify that a real person stands behind every published decision.
Outcome:Protect editorial integrity and audience trust while harnessing AI for competitive advantage.
The Challenge
- AI-generated content flooding platforms without attribution or human sign-off
- Demonstrating to audiences and regulators that recommendation algorithms are fair
- No way to distinguish human-created from AI-assisted content at scale
- Logging and responding to AI-related incidents before they become headlines
How Verisum Helps
- Establish clear AI usage policies for editorial, creative, and commercial teams
- Use Staff Declaration Portals so journalists and editors disclose AI usage transparently
- Anchor human approval of AI-assisted content with cryptographic provenance certificates
- Monitor AI systems in production for drift against editorial and ethical policies
Meet regulatory expectations with evidence, not assumptions
Financial institutions and DeFi protocols alike operate under intensifying scrutiny. As AI enters credit decisioning, fraud detection, trading, and on-chain governance, regulators expect demonstrable, continuous compliance — not annual audits and static policies. Verisum provides the evidence layer that bridges traditional finance compliance with the provenance demands of decentralised systems.
Outcome:Turn AI compliance from a bottleneck into a competitive advantage — with evidence regulators and protocol participants can verify.
The Challenge
- Satisfying FCA, PRA, EU AI Act, and MiCA requirements for high-risk AI and digital asset systems
- Maintaining tamper-proof audit trails for AI-driven credit, pricing, and risk decisions
- Sybil attacks undermining fair DAO voting and flash-loan exploits enabling governance capture
- No privacy-preserving way to meet KYC/AML on-chain without centralised blacklists
How Verisum Helps
- Assess AI governance maturity against financial-sector and DeFi regulatory frameworks
- Generate policies tailored to high-risk financial AI and digital asset use cases
- Anchor governance decisions on-chain for tamper-proof regulatory evidence — with zero-knowledge proofs that verify compliance without exposing user data
- Enable one-human-one-vote DAO governance through Proof-of-Humanity credentials, resistant to Sybil and flash-loan attacks
Anchoring trust from molecule to patient
The BioPharma and MedTech ecosystem is plagued by trust gaps at every level. Design and development records can be manipulated, clinical trial data is vulnerable to tampering, AI models in R&D lack transparency over training data and validation, and counterfeit products — a $200B annual problem — circulate through uncontrolled supply chains. Verisum and the HAPP protocol provide a universal provenance layer across every stage of the life sciences value chain.
Outcome:From molecule to patient, every step in the value chain becomes verifiable — protecting patients, IP, and regulatory standing.
The Challenge
- No verifiable chain-of-custody from R&D through manufacturing to patient
- Clinical trial data vulnerable to tampering, fraud, or incomplete custody records
- AI models used in drug discovery lack transparency over training data, validation, and authorship
- Counterfeit drugs and supplements circulating through uncontrolled supply chains — a $200B annual problem
How Verisum Helps
- Anchor lab research, compound design, and preclinical records to verified researchers under GLP standards
- Log immutable provenance of clinical trial datasets with full custody chains for FDA/EMA submission
- Track AI model lineage — authorship, training data, and validation — with cryptographic credentials
- Mint batch-level GMP credentials referenced to regulators, verifiable by pharmacies and patients via QR/NFC
Build customer confidence in AI-powered experiences
From personalised recommendations to dynamic pricing and AI-powered customer service, eCommerce businesses depend on AI to drive conversion and loyalty. But fake reviews erode trust, AI-driven pricing faces fairness scrutiny, and customers are paying attention. Verisum helps you govern these systems transparently — and prove it to customers, marketplace partners, and regulators.
Outcome:Deliver personalised, AI-powered shopping experiences that customers trust and regulators approve.
The Challenge
- Fake review proliferation undermining platform credibility and conversion rates
- Ensuring AI-driven pricing and recommendations are fair and non-discriminatory
- Managing a growing number of AI vendors across the commerce stack
- Responding to consumer protection regulations and customer trust concerns
How Verisum Helps
- Map and register every AI system and vendor in your commerce stack with risk scoring
- Set governance policies for personalisation, pricing, and automated customer interaction
- Detect drift when AI behaviour deviates from your fairness and transparency policies
- Anchor human-verified review credentials and share governance attestations with marketplace partners
More Industries Coming Soon
We are actively building use-case frameworks for healthcare, education, government, legal services, and more. If your industry is not listed yet, Verisum's governance platform is industry-agnostic by design — you can start today.
Ready to Govern AI in Your Industry?
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