Review source references and declared freshness, completeness, and disclosure requirements. Keep missing support and conflicting evidence visible.
DigiTrans · Your AI Adoption Partner
Adopt AI with Confidence
DigiTrust is an AI Evidence & Assurance platform that helps organizations establish a reviewable chain of evidence, human oversight, and recorded outcomes for AI-assisted decisions.
Make AI actions reviewable, approved, and accountable.
Claude integration on Amazon Bedrock
Assisted onboarding available
AI Evidence & Assurance
Why Organizations Use DigiTrust
Organizations use DigiTrust to answer questions such as:
- What evidence supported this result?
- Who reviewed and approved it?
- What limitations were identified?
- What happened after the decision was made?
- Can the decision be explained and reviewed later?
Why DigiTrust
Evidence requirements tied to approved use.
DigiTrust brings the evidence behind a specific business result into the same review path as its approval, permitted use, and recorded outcome. Start with one workflow and define what the result must satisfy before it is used.
Bind an independent reviewer to the exact result and evidence, purpose, destination, conditions, and time window. Changes require renewed review.
Keep the supporting sources, checks, corrections, and unresolved questions together so the next reviewer can understand the basis and limits of the decision.
Distinguish completed, blocked, and uncertain actions. Use the saved record to investigate a lost response before considering another attempt.
Applied within the models, data sources, roles, and controls agreed for your deployment. Explore how it works or see a sample evidence packet.
One engagement option: a paid pilotKnow what is supported, what is missing, and what to do next.
Example duration30–45 days
Example scope2–3 AI workflows
Example deliverables4 customer-ready outputs
Request a pilot briefing
AI Adoption & Assurance
Leave with clear findings and an agreed next step.
Whether you are starting AI adoption, building confidence in an existing workflow, or preparing to expand, DigiTrans helps define a useful next step. We tailor the scope, duration, deliverables, success measures, and fees to your business and workflows before work begins. Services are scoped separately from a DigiTrust software subscription.
DigiTrust Enterprise AI Evidence and Assurance Pilot
A paid pilot is one way to begin. Review the evidence behind AI-generated work, identify gaps, and agree who needs to approve its use. Use the findings to decide what to improve and whether to expand.
Example duration30–45 days
Example scope2–3 AI workflows
Services termsScoped and agreed separately
Software contractPurchased separately
Example pilot deliverables
- 1Workflow and control assessment
Understand current controls, evidence gaps, review owners, and operating limits. - 2Evidence and assurance map
Connect supporting sources, required checks, human approvals, and permitted uses. - 3Production roadmap
Prioritize next steps, responsibilities, success measures, and an expansion path. - 4Executive findings
Share a clear summary with security, risk, compliance, purchasing, and leadership.
Sample evidence packet · fictional data
See the evidence, the gap, and the review decision.
A vendor security review shows the kind of record your team can work toward: the claim, its supporting source, missing evidence, and the human decision still required.
Vendor access review
Claim: Fictional Vendor A reviews administrative access quarterly.
- Source
- Fictional access policy, section 2
- Supporting excerpt
- “Administrative access is reviewed quarterly.”
- Evidence gap
- The most recent completed access-review record has not been supplied.
A policy is only part of the evidence.
The excerpt supports the stated review schedule. It does not establish that the latest review was completed.
- Next step
- Request the completed review record and assign a security reviewer.
- Human approval
- Pending. The reviewer must assess the evidence and intended use.
- Use and history
- Internal evaluation only. The sample records the claim, source check, and unresolved evidence gap.
Illustrative sample. All names, sources, and findings are fictional. This is a static example of the record's layout, not a live customer record or a completed production review. It does not approve a vendor or authorize external use.
DigiTrust Evidence Assistant
Try a vendor evidence review in ChatGPT.
Review selected non-sensitive claims and source excerpts, find missing evidence, and check quotations and dates. Start with a synthetic example or confirm which material you permit the Assistant to send to DigiTrans. Results guide human review; the Assistant does not access your customer workspace or approve external use.
AI Evidence & Assurance · practical questions
Can you show how an AI-assisted decision was reviewed?
Start with a decision your team needs to make. Agree what evidence and human oversight are needed, then connect the review to its recorded outcome.
How can we demonstrate human oversight of an AI-assisted decision?
A useful review record connects the exact AI result to its supporting sources, checks, unresolved gaps, and an identified human reviewer's decision. DigiTrust brings those elements together with the approved purpose and recorded outcome, within the workflows agreed for an engagement.
What belongs in an AI decision audit trail?
Record the intended purpose and evidence requirements before use; the source material, result version, checks, and approval during review; and the outcome, limitations, and follow-up afterward. The record should make clear what is supported and what remains uncertain. A complete history supports review; it does not by itself establish that an AI result is correct.
How can AI and compliance teams agree on oversight?
Choose one workflow and agree on the evidence needed, the review owner, approval conditions, and how unresolved gaps will be handled. DigiTrans can scope a paid assessment, pilot, or implementation engagement around those requirements, with deliverables and success measures agreed with your team.
Can we explore the approach before sharing customer data?
Yes. The DigiTrust Evidence Assistant demo uses a fictional vendor review to show evidence links, findings, limitations, and the human decision still required. The public Assistant does not access private customer workspaces or authorize external use.
The category
AI Evidence & Assurance, from evidence to outcome.
Bring supporting sources, evidence checks, human approval, permitted use, and the recorded outcome into one review path. See how the controls work and what each deployment requires.
Evidence and source history
Preserve what the AI used, where it came from, whether it stayed intact, and how it moved through the workflow.
Repeatable, rule-based checks
Apply defined checks to declared source metadata, scope, disclosure, conflicts, and the exact information reviewed.
Independent human approval
Bind a separate, authorized reviewer to the exact result, intended purpose, destination, conditions, and approval window.
Approval for a specific use
Record the intended purpose, destination, and approval window so reviewers can see where a result may be used.
Outcome and review history
See what completed, what was blocked, and what still needs investigation, alongside the supporting record.
Reference workflows
See the review path in two practical workflows.
Synthetic examples connect the assessment, architecture, approval boundary, and recovery checks. They support a focused design discussion before customer data or production systems are introduced.
Referral intake
Check the evidence behind an intake summary, resolve missing support, and obtain independent approval for a specific receiving queue.
- Reviewed action
- One referral handoff
- Critical boundary
- The approved result and destination
- Recovery question
- Did the handoff already complete?
Documentation evidence
Connect a draft to its supporting sources, preserve corrections, and let an accountable reviewer approve the exact evidence packet for a review queue.
- Reviewed action
- One evidence packet handoff
- Critical boundary
- Source support and independent review
- Recovery question
- Can the recorded outcome be recovered?
Synthetic reference examples. No customer deployment, patient outcome, clinical decision, or external system write is implied. See implementation and release boundaries.
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.
- Referral intake and handoff
- Documentation evidence review
- 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
Built on AWS. Available in AWS Marketplace.
Buy DigiTrust through your AWS purchasing channel.
Agree your workflow and onboarding scope with DigiTrans, then purchase the appropriate DigiTrust software subscription through AWS Marketplace.
01Claude integration deployed
Claude integration through Amazon Bedrock deployed to DigiTrust's production platform.
02Clear purchasing scope
Buy DigiTrust software from DigiTrans. Pilot and implementation services are scoped separately.
The integration is a DigiTrust platform milestone; customer deployments follow their agreed scope. Claude Enterprise is a separate Anthropic product and subscription, not included with DigiTrust. AWS Marketplace availability does not imply AWS endorsement.
Assisted onboarding is open
Start in your own production workspace.
Each customer starts directly in their organization's production DigiTrust workspace. DigiTrans confirms your first workflow and applicable subscription, prepares your workspace and arranges access for the agreed participants.
Use the same workspace for your guided first session and ongoing work. Together, we aim to complete one useful evidence packet or review record, then agree the next case, its owner and a follow-up date. A fictional or approved sample can be used for the walkthrough.
Customer-data use begins only after your workspace's data scope, protections and operating requirements have been accepted. Customer legal, clinical, security, audit, and regulatory responsibilities remain with the customer.
Already have workspace access? Sign in with your approved account. A Marketplace purchase does not create workspace membership or authorize customer-data processing by itself.
See what to prepare for your first session. For onboarding help, contact [email protected].
The next step
Move forward with your AI priorities.
Tell us where you are in AI adoption, the workflows you are considering, and the outcomes you need. Together, we scope a paid engagement around your business priorities.