Customers can review the product through a familiar enterprise cloud purchasing environment.
A clear way to buy Enterprise AI Evidence and Assurance.
DigiTrust is available through AWS Marketplace, giving enterprise customers an established AWS purchasing path for evaluation, pilot engagement, and potential production expansion.
DigiTrans is the seller. We confirm the scope, price, responsibilities, and available purchasing options for each customer.
Buy through AWS without weakening accountability.
AWS Marketplace handles the transaction. DigiTrust provides the review record for consequential enterprise AI. Customers still decide how the system is designed, how data is handled, and who is responsible for security, legal review, governance, approval, and operation.
Qualified opportunities can align customer needs, AWS account teams, AWS specialists, and purchasing.
A scoped pilot can progress into a broader enterprise engagement when outcomes and terms are validated.
Move from a business problem to a clear purchase.
A Marketplace listing does not replace qualification. The strongest path begins with one named problem, one accountable sponsor, one bounded pilot, and one agreed customer outcome.
Select the AI use case, business impact, who needs to review it, and the current review process.
Define two to three workflows, the information needed for review, stakeholders, duration, deliverables, and price.
Confirm whether the workflow uses AWS, which AWS teams should participate, how the solution will be implemented, and what additional AWS value is expected.
Use the active listing and confirm any transaction-specific offer structure with DigiTrans.
Complete the pilot, validate outcomes, and define the production deployment and operating path.
Custom AWS Marketplace offer: Contact DigiTrans to confirm whether a custom AWS Marketplace offer or another transaction structure is available and appropriate for a specific customer. This page does not represent that every purchasing option is enabled for every transaction.
DigiTrust Enterprise AI Evidence and Assurance Pilot
Make two to three consequential AI workflows reviewable.
The pilot reviews current controls, identifies the evidence and approvals needed, records known limits, and defines a production roadmap.
- 1Workflow assessment
Intended use, business impact, evidence, governance, human approval, and current controls. - 2Evidence and review map
Sources, repeatable checks, human decisions, approved-use conditions, and known limits. - 3Production roadmap
Implementation design, operating model, success criteria, security and data boundaries, and expansion. - 4Executive findings
Customer-safe material for leadership, security, risk, compliance, purchasing, and AWS teams.
A common purchasing story for customers, AWS Sellers, and partner teams.
Enterprise buyer
Clarify the business problem, stakeholder group, assurance requirements, budget, timing, architecture, and approved purchasing path.
AWS seller or specialist
Review the customer initiative, how AWS is involved, available industry expertise, implementation support, and the joint sales path.
Purchasing and sourcing team
Review the seller, listing, scope, buying structure, terms, data boundaries, security review, and implementation responsibilities.
Consulting or implementation partner
Align implementation services, customer ownership, system design, evidence sources, operating roles, and shared sales and marketing responsibilities.
AWS review, Marketplace availability, and a sales collaboration path.
DigiTrans participates in the AWS Partner Network.
DigiTrans completed an AWS Partner software validation milestone.
DigiTrust passed an AWS review of its solution foundation.
DigiTrust is publicly listed and available for customer purchase.
Claim boundary: These milestones support solution credibility, purchasing, and sales collaboration with AWS. They do not mean AWS endorses DigiTrust, guarantees outcomes, or assumes the customer's operational responsibility.
Scope the enterprise pilot or review purchase options.
DigiTrans can turn the customer workflow, evidence problem, how AWS is involved, budget, and preferred buying method into a clear next step.