Guide
AI payments strategy
Use AI to accelerate analysis and writing — without leaking secrets or following untrusted inputs.
Where AI helps
- Turning raw notes and metrics into structured strategy docs and rollout plans
- Drafting stakeholder updates, decision memos, and experiment templates
- Summarizing RFP responses into scorecard-ready bullets
- Generating hypothesis lists and “what to instrument next” checklists
Guardrails
- No secrets or credentials: API keys, configs, internal URLs, private dashboards
- No customer PII: names, emails, addresses, PANs, bank details, device identifiers
- Human review required for anything that becomes a decision or a customer-facing change
- Require assumptions and confidence notes; verify claims with primary sources
- Keep artifacts auditable: link to metrics and change logs
Practical starter checklist
- Define 5 core metrics: auth rate, cost per successful payment, dispute rate, refund rate, ops load
- Create a decline taxonomy and map it to interventions (routing, retries, issuer comms, 3DS)
- Write an experiment template: hypothesis → instrumentation → rollout → success criteria
- Build a provider decision log and scorecard template (requirements + tradeoffs)
- Document an incident playbook and on-call checklist for payments issues
Next step
Start with the assessment (even if you don’t submit it yet) to structure your context, or reach out and we’ll recommend a next step.