One platform. A more connected business workflow.
Make useful context and spending policy part of the same design. Hybrid-Chain connects protected source information, reviewed agent knowledge and wallet-intent evaluation, while keeping permission to know separate from permission to spend.
Useful knowledge. Independent spending authority.
Build the purchasing assistant around connected responsibilities, not a prompt with a wallet key attached.
- 01
Protect
Keep private source material and version evidence in Quantum Data Vault.
- 02
Share deliberately
Publish approved context for the intended agent or partner.
- 03
Evaluate
Check the proposed intent against the binding’s policy context.
- 04
Review
Retain reasons and send later business actions to their authorized workflows.
Compare what matters to the business.
Read across each requirement. On a narrow screen, scroll the table horizontally.
| Requirement | Hybrid-Chain component | Business purpose |
|---|---|---|
| Private sources | Quantum Data Vault | Keep source version, access boundary and integrity evidence identifiable. |
| Recipient-safe context | Agentic Memory Exchange | Give a workload approved knowledge without exposing the entire private source. |
| A scoped proposal | AI Wallet Control | Inspect binding, policy and returned evaluation reasons outside the model prompt. |
| A decision owner | Governance and application review | Keep approval responsibilities explicit for the business process. |
| A reviewable handoff | Workspace records and relevant public evidence | Explain what was proposed, evaluated and separately authorized. |
Define exactly what the agent may request
An agent wallet policy should name the workload, wallet, network, asset, permitted action, destination rules, amount limit, and expiry. Write those constraints outside the agent’s prompt, where the authorization service can enforce them. Treat a natural-language instruction as a request, not as signing authority.
Example evaluation scenario: a purchasing agent may request up to 20 native units per purchase and 100 per day from approved destinations. These are illustrative limits, not a live configuration or a production API request.
Connect reviewed knowledge to independent evaluation
Use Quantum Data Vault to retain protected sources and Agentic Memory Exchange to publish the reviewed information a workload needs. Give the agent a useful knowledge boundary before asking it to propose an operation.
AI Wallet Control provides authenticated reads of the relevant binding, policy and budget context, plus separately scoped intent evaluation. Keep credentials outside the prompt and let the evaluator report its actual decision and reasons.
Evaluate allowed and rejected requests
In an authorized evaluation environment, compare a request inside the policy with one over the amount limit, an unknown destination, an expired grant, and a request using the wrong network. Record the evaluator’s actual decision and reasons. Keep credentials and entered data out of public reports.
Keep each test tied to a constraint supported by the current policy contract. Compare the returned decisions using the same binding and exact asset units, and record a transport error separately from a policy denial.
Workshop: construct a one-variable test pair
Create a worksheet with binding, network, asset, amount, destination case, policy observation time, decision, reasons and error. Begin with a real test binding and current policy. Build proposal A inside one supported constraint; copy it to B and change only that constraint. The illustrative 20/100 limits above are not service defaults.
Keep native-asset amounts as exact decimal strings where the contract requires them. Do not treat them as a dollar budget without a separately defined valuation. Record the returned reasons, not the reason you hoped the example would produce.
Expected result: the worksheet explains the difference between A and B or exposes a real policy question. If both outcomes match, inspect the binding and supported controls. An unavailable service is a separate error—not an allowed or denied decision.
Workshop: make uncertainty visible
Draft three result panels: evaluated, denied and unavailable. The evaluated panel shows observation time and reasons without a paid badge. The unavailable panel says no current decision is available and identifies the next safe read or operator action.
Add a policy-change row. Require a fresh authoritative context check before a later operation; an earlier evaluation did not reserve budget or future authority. Add a timed-out request so transport failures cannot collapse into policy decisions.
Retain the redacted worksheet and screenshots privately. Continue only when a reviewer can explain each panel. The goal is an understandable proposal-review flow, not a demonstration of autonomous payment.
Make the next business step explicit
Present an evaluated proposal with its reasons and observation time. Send any later approval, reservation, signing or settlement task to the separately authorized workflow that owns it. This makes the application’s status understandable to both the operator and the reviewer.
Hybrid-Chain’s connected modules make it possible to design this handoff alongside the protected source and reviewed context. Keep a private case record that identifies the relevant versions and decisions rather than relying on a chat transcript as authority.
See the platform in a business case.
Expand an example to follow the responsibilities and handoffs. These are illustrative application designs, not customer results or automatically executed workflows.
An assistant requests a supplier purchase
The assistant needs an approved delivery requirement and permission to propose an amount—not internal negotiation notes or wallet credentials.
- Publish recipient-safe delivery information through a reviewed memory collection; keep private notes in Quantum Data Vault.
- Have the assistant produce a proposal with the network, asset, exact amount and destination required by the test contract.
- Evaluate through a separately scoped client, then show the actual decision and reasons to the reviewer.
One connected proposal-review flow, with a clear boundary between knowing the requirement and being permitted to spend.
The proposal changes after review
The supplier changes the amount or destination. An earlier decision should not become authority for the new proposal.
- Retain the original proposal and decision reference rather than rewriting history.
- Read current policy context and evaluate the changed proposal under supported constraints.
- Explain the difference to the reviewer and leave subsequent execution with its own authorized process.
The application can explain which proposal was checked, when it was checked and why another review was required.
Build your evaluation brief.
Use this checklist with your implementation and security teams. Share a high-level workflow—not credentials, wallet identifiers, transaction records or customer data.
Bring one business case. Map the whole path.
Discuss how Hybrid-Chain’s connected modules fit your application, which operations the rollout needs and how your team will verify the result.
Plan your Hybrid-Chain integration