Consent & Governance

Q1: How do we handle delegation when the user is offline?

You need a policy-driven split between pre-approved autonomy and deferred approval.

Patterns that work:

• Pre-consented playbooks: User approves a “task template” once (intent + boundaries). The agent can execute within that sandbox while the user is offline.

• Queue + expire: If an action requires explicit approval, the agent queues a request with an expiry window and retries when the user returns.

• Risk-based branching: Low-risk actions proceed; high-risk actions pause for confirmation (“user-in-the-loop”).

RAR-style structured permissions help here: approvals are explicit about what the agent is allowed to do, not just “approve access.”

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Q2: How do we cryptographically link an agent's action back to a human sponsor?

Do cryptographic binding + durable evidence:

1. Sender-constrained tokens so stolen tokens are less reusable:

• DPoP binds token use to a client-held key and detects replay.

• Or mTLS-bound access tokens (certificate-bound tokens).

2. Include sponsor context in the authorization artifact:

• Carry sponsor_id, delegation_id, and structured authorization details into tokens (or into introspection metadata).

3. Write an append-only audit trail:

• Log: delegation grant → approvals/step-up → token issuance/exchange → tool calls → outcomes.

This gives you both cryptographic linkage (PoP) and provable accountability (audit evidence).

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Q3: What is the best UX for "user-in-the-loop" confirmations?

The best UX is predictable, specific, and rare.

High-converting patterns:

• Show the intent in plain language (what will happen, what data/tools are touched, what the impact is).

• Make approval granular (“approve this action” vs. “approve everything”).

• Offer “approve once / approve for 15 minutes / always allow for this workflow” (time-bounded delegation).

• One-tap with safety rails: if the risk is high, require step-up.

RAR helps because you can present approvals as structured permissions (e.g., “pay ₹X to vendor Y”), not vague scopes.

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Q4: How do we avoid "consent fatigue" in agent approval flows?

Consent fatigue happens when users are asked to approve too often without clear differentiation.

How to fix it:

• Bundle by intent: Approve a workflow once, not every tool call.

• Use time-bounded approvals: Short-lived “approval windows” for bursts of activity.

• Risk-tier gating: Ask only for high-impact actions; auto-approve low-risk actions under policy.

• Explain “why now”: Show the trigger (new device, unusual destination, higher amount).

Net: fewer prompts, higher trust, better completion rates.

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