AI trust and verification SaaS platform

Deploy AI faster with auditable proof for every workflow

DigiTrust generates Evidence Packets for AI workflows so enterprise security, compliance, privacy, audit, and customer teams can approve AI faster, stay compliant, and build trust.

An Evidence Packet is a plain-English proof record that shows what AI workflow ran, what data was protected, what path was approved, who reviewed it, and what evidence can be shared safely.

SaaS platform Live AWS deployment path Marketplace readiness in progress Design-partner validation ready
What DigiTrust is

An AI trust and verification SaaS platform for enterprise workflows

DigiTrust helps teams turn AI review into a repeatable proof workflow: classify the data, confirm the approved path, capture the review, generate the Evidence Packet, and give reviewers a clean record they can act on.

For AI leaders

Move pilots into production with a proof trail that shows the workflow is ready to review, approve, and share.

For compliance teams

See purpose, data handling, approval status, evidence mapping, and verification results in one reviewer-ready package.

For customers and partners

Share a clean assurance record without exposing raw sensitive values or internal deployment artifacts.

Evidence Packet, explained simply

A packet is the receipt for an AI workflow

An Evidence Packet is a verifiable proof record your reviewers can read. It explains what happened in the AI workflow, what checks passed, what risks were handled, and what can be shared safely.

Plain English definition: it is the auditable record that answers, “Can we trust this AI workflow enough to approve it, launch it, or share it with a customer?”

What the packet shows

  • Workflow identity and owner
  • Business purpose
  • Sensitive-data classification
  • Protection steps
  • Approved AI path
  • Human review status
  • Output summary
  • Proof-ready control result
  • Acceptance status
  • Verification hash
  • Export record
  • Framework evidence mapping
Business impact

Faster approvals. Cleaner compliance evidence. More trust in AI.

DigiTrust gives each stakeholder the proof they need to move from “Is this safe?” to “Here is the evidence.”

Faster

AI approvals

Reduce back-and-forth by giving reviewers one packet with workflow purpose, protection status, approval path, and verification result.

Cleaner

Compliance review

Turn AI workflow evidence into structured records that support security, privacy, audit, customer assurance, and governance review.

Stronger

Customer trust

Show customers and partners how sensitive AI workflows are protected and verified without exposing raw sensitive data.

How it works

From AI workflow to auditable proof

DigiTrust turns review into a clear sequence of proof steps.

1

Define

Pick the workflow, owner, purpose, and review context.

2

Protect

Classify sensitive inputs and protect them before model use.

3

Approve

Confirm the AI path, human review needs, and policy decision.

4

Prove

Generate a verified Evidence Packet reviewers can trust.

Early validation signals

Built for enterprise review and Marketplace readiness

DigiTrust is already moving through the evidence trail needed for customer, partner, and AWS Marketplace readiness conversations.

Hosted on AWS
GitHub Actions deployment evidence
Evidence Packet verifier
Tokenization layer
PRAI-1 workflow control
AITI runtime proof summary
Customer assurance pack
Marketplace readiness materials
Seller smoke-test workflow
Get started

Start with one workflow and leave with one proof asset

The DigiTrust Evidence Packet QuickStart helps a team validate one sensitive AI workflow, generate an Evidence Packet, and give stakeholders a clean approval record.

QuickStart outcomes

  • Select one AI workflow
  • Define sensitive-data profile
  • Confirm approved AI path
  • Run with synthetic or approved test data
  • Generate an Evidence Packet
  • Run verification
  • Review with stakeholders
  • Create one customer-safe assurance asset
Customer assurance

Review materials for qualified teams

DigiTrust provides a cleaner way for security, compliance, privacy, audit, legal, cloud, and customer teams to review AI workflow evidence.

Security overview

Baseline checks, data-handling summary, and proof workflow context.

Evidence mapping

Framework crosswalk and packet field mapping for reviewer use.

AI governance

PRAI-1 workflow checks, review status, and proof-ready summary.

Marketplace readiness

Fulfillment URL, subscription stub, API docs, and seller smoke-test evidence.

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Built by DigiTrans

AI trust infrastructure for proof-ready workflows

DigiTrans builds proof-ready AI workflow solutions for teams that need sensitive AI work to be easier to review, explain, approve, and scale.

Give every AI workflow an auditable proof record

Book a DigiTrust demo to see how one workflow becomes one Evidence Packet that can speed approvals, support compliance, and build customer trust.