Evidence and source history
Preserve what the AI used, where it came from, whether it stayed intact, and how it moved through the workflow.
Enterprise AI Evidence and Assurance
Make consequential AI reviewable.
DigiTrust is the evidence and authority system of record for consequential enterprise AI.
When AI acts, recommends, or automates, DigiTrust records what happened, checks the supporting evidence, captures who approved the result, limits it to the approved purpose, identifies known limits, and keeps a complete review history.
AWS Partner validation completed
AWS solution review completed
Works across cloud and AI providers
Patent pending
The enterprise control gap
AI can act. Can your organization prove the action was valid?
Security tools show activity. Monitoring tools show behavior. Governance programs define policy. Organizations also need one clear record that connects the evidence, checks, human approval, approved purpose, known limits, and final outcome.
01What happened?Who and what acted
02What evidence supported the outcome?source history
03What verification occurred?Checks performed
04Who approved this use?Human approval
05Can the workflow be reconstructed later?Review history
The category
Enterprise AI Evidence and Assurance
DigiTrust creates one connected Trust Record across the controls that make consequential AI reviewable.
Repeatable, rule-based checks
Use clear rules to check evidence quality, supporting facts, approval rights, conflicts, safe disclosure, and the exact information reviewed.
Accountable human approval
Record who approved the result, what was approved, the conditions, and how long the approval lasts.
Approval for a specific use
Allow only the approved result and conditions. Changed, expired, withdrawn, or substituted use is blocked automatically.
Known limits and complete review history
Keep important concerns visible, state what information is unavailable, and preserve the full evidence and decision history.
Regulated-industry launch
Built for AI workflows where evidence and authority matter.
Start with the workflows that already carry customer, regulatory, clinical, security, or mission consequences.
Make financial AI reviewable.
Strengthen the evidence and approval record across banking, insurance, risk, fraud, customer service, cybersecurity, AI assistants, and automated workflows.
- Fraud and financial crime
- Risk and decision support
- AI copilots and agents
Make healthcare AI reviewable.
Add a clear evidence and approval record to clinical governance and human review, with known limits and a complete history.
- Ambient documentation
- Research and trial support
- Digital and operational AI
Preserve human authority in high-consequence operations.
Begin with unclassified enterprise, engineering, knowledge, and mission-support workflows under explicit data boundaries.
- Knowledge and engineering support
- Enterprise automation
- Decision-assistance workflows
The first enterprise engagement
Start with two or three consequential AI workflows.
The DigiTrust Enterprise AI Evidence and Assurance Pilot is a focused 30- to 45-day engagement that turns governance intent into a reviewable operating model.
DigiTrust Enterprise AI Evidence and Assurance Pilot
Evaluate current controls, map the evidence and authority path, identify limitations, and define a production expansion plan without exposing sensitive data in the initial discovery process.
Duration30–45 days
Scope2–3 AI workflows
Commercial termsProvided through AWS and direct sales channels
PurchasingAWS Marketplace
Customer deliverables
- 1Workflow and control assessment
Current evidence, governance, authority, review, and operational boundaries. - 2Evidence and assurance map
Sources, checks, actors, approvals, approved-use conditions, and limitations. - 3Production roadmap
Prioritized architecture, operating model, success criteria, and expansion path. - 4Executive findings
A customer-safe summary for security, risk, compliance, purchasing, and leadership.
AWS credibility and purchasing
Reviewed by AWS. Available for customer purchase.
DigiTrans completed AWS Partner software validation, DigiTrust passed an AWS solution review, and the product is publicly listed in AWS Marketplace.
01Partner validation complete
DigiTrans completed an AWS Partner software validation milestone.
02Solution review passed
DigiTrust passed an AWS review of its solution foundation.
03Marketplace live
An active customer purchasing path is available through AWS Marketplace.
AWS participation and Marketplace availability support customer purchasing and sales collaboration. They do not mean AWS endorses DigiTrust or guarantees any customer, security, regulatory, or business outcome.
Why DigiTrust
A complete review record—not another AI dashboard.
DigiTrust works across AI models, agents, cloud platforms, and enterprise systems while preserving one consistent review record.
Identity, evidence integrity, approval rights, conflicts, safe disclosure, and approved-use checks cannot be skipped because an AI answer sounds persuasive.
Agents cannot approve their own consequential output or transfer approval to a changed result.
The evidence and approval record remains useful even when cloud platforms, AI models, and workflows change.
Missing evidence, unresolved concerns, expired approval, and future capabilities are stated clearly instead of being hidden.
Current boundary: DigiTrust supports evidence and assurance workflows. It does not replace customer legal, clinical, security, audit, purchasing, certification, or regulatory responsibility.
The next step
Choose one consequential AI workflow. Make it reviewable.
Request a 30-minute Enterprise AI Evidence and Assurance briefing, define the right pilot scope, or begin through the AWS Marketplace purchasing path.