Agentic finance · Payment controls

Before the agent pays.

A four-transaction simulation for teams deciding when an AI agent may pay, when a human must step in and when the system must stop.

RoleProduct & interaction design
FormatDecision simulation
StatusFunctional concept
Interactive prototype
AGENT / OPS-07MANDATE ACTIVE
Temporary authorityEUR 300Incident 024 · expires in 22:14
01Intent
02Policy
03Decision
ALLOW · 18 EURREVIEW · 198 EURDENY · EXTERNAL WALLET

Most agent payment flows offer two controls.

Approval on every purchase stalls the task. Broad account access turns one bad decision into a financial incident.

Define the authority before the agent reaches checkout.

87%

concerned about agent accuracy

81%

concerned about security and privacy

17%

report improved team collaboration

Evidence base: Stack Overflow Developer Survey 2025 · Forrester Agentic Payments Research 2026

Audience

Engineering managers, AI product owners and operations leads.

Performance goal

Given a transaction and a temporary mandate, choose allow, escalate or deny.

Design constraint

Safety cannot depend on constant human attention or model self-restraint.

Every payment passes through the mandate.

The decision gate checks purpose, merchant, amount and evidence. It then executes, escalates or blocks the transaction.

01 · HUMANDefine intent

Outcome, budget and expiry

bounded brief
02 · POLICYIssue mandate

Merchant, category and limits

evaluate
03 · AGENTDecision gate

Context + deterministic checks

route
ALLOWExecute

Inside mandate

ESCALATEHuman decides

Material exception

DENYBlock + revoke

Policy breach

EVIDENCE LOOP
ReceiptWhat moved
Audit logWhy it moved
ReviewWhat to change
Earned autonomyLimits change after review

MANDATE

The agent receives temporary authority tied to one outcome, budget and expiry.

M

Mission

What outcome is authorised?

A

Authority

What may the agent do?

N

Narrow constraints

Which limits are deterministic?

D

Decision thresholds

When must a human decide?

A

Audit evidence

What proves the action?

T

Termination

How is access revoked?

E

Earned autonomy

How does trust increase?

Make four payment decisions under one live mandate.

The incident changes after every choice. Use keys 1–3 or select a command.

mandate-cli / incident_024

SHADOW MODE

mandate inspect --agent ops-07

MISSIONRestore checkout within 30 minutes
AUTHORITYPurchase incident infrastructure
BUDGETEUR 300 / incident
ESCALATENew merchant or spend > EUR 120

The framework appears after the first decision.

The first screen asks for a payment decision. Feedback exposes the cost, then the team applies MANDATE to a new transaction.

01

Cold decision

Choose before seeing the framework.

02

Consequence

See what the choice costs or exposes.

03

MANDATE

Identify the missing rule.

04

Second attempt

Apply the rule to a new transaction.

05

Transfer

Write a mandate for an agent at work.

Mastery requires a valid mandate.

A mandate passes when it handles a new scenario and produces the correct payment decisions.

01Task completion
02Financial exposure
03Control efficiency
04Auditability
05Recovery design
Critical-failure rule

Permanent credentials, undefined budgets or payments without proof of intent fail the safety review, regardless of the average score.

The pilot tracks decisions, spend and review time.

Fewerlow-value human approvals
Higherpolicy-aligned execution rate
Lowervariance between budget and spend
Fasterreconstruction of financial decisions
My contribution

I turned an agent-payment risk into a testable decision system.

  • Research synthesis and performance-gap analysis
  • Task model and scenario architecture
  • Interaction design and functional prototype
  • Decision rubric and pilot measurement plan