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04/07/2026 10:01 pm
TL;DR: Prepaid credits in Kong Konnect Metering & Billing let customers prepay, draw down against a wallet, and avoid absorbing surprise token spikes when usage or model pricing shifts, which matters for AI products and agentic workflows that can run away quickly, according to Kong. The core issue is financial governance, not just billing convenience: consumption needs guardrails before margin disappears.
NHIMG editorial — what this means for NHI practitioners
Questions worth separating out
Q: How should teams control AI spend when usage can spike unpredictably?
A: Teams should treat AI spend control as a runtime governance problem.
Q: When do prepaid credits make more sense than post-pay billing?
A: Prepaid credits make the most sense when usage is volatile, models change frequently, or agentic workflows can drive rapid consumption.
Q: What do security teams get wrong about AI billing controls?
A: They often treat billing as separate from governance.
Practitioner guidance
- Define usage entitlements before launch Map each customer, workload, or agent class to explicit spending rules, balance exhaustion behaviour, and overage handling before the service reaches scale.
- Separate promotional, invoiced, and externally settled credits Use distinct funding paths for onboarding, prepaid commercial usage, and customer-managed settlement so billing rules do not blur across use cases.
- Set deterministic exhaustion rules Decide in advance whether usage blocks, goes negative, or overflows to invoice billing when a credit wallet is depleted.
What's in the full announcement
Kong's full product release covers the operational detail this post intentionally leaves for the source:
- How prepaid, invoiced, and externally settled credit grants are configured inside Kong Konnect
- How drawdown priority works when a customer holds multiple credit grants at once
- How billing plans behave when balances are exhausted, including block and overage options
- How currency matching affects wallet settlement and subscription usage rules
👉 Read Kong's post on prepaid credits in Kong Konnect Metering & Billing →
AI token overspend and prepaid credits: what finance teams need?
Explore further
04/07/2026 10:07 pm
AI spend control is now an identity-adjacent governance problem. When an AI platform can trigger consumption through workflows, agents, and API calls, the programme is no longer managing only billing events. It is managing which runtime identities are allowed to create economic exposure, and under what conditions. That pushes metering closer to entitlement governance, where access and cost are linked. Practitioners should treat this as a control-plane issue, not a finance sidebar.
A few things that frame the scale:
- 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, according to The State of Non-Human Identity Security.
- 43% of security professionals are concerned about AI systems learning and reproducing sensitive information patterns from codebases, according to The State of Secrets in AppSec.
A question worth separating out:
Q: How do organisations know if AI usage controls are actually working?
A: They should check whether usage remains predictable under load, whether balances expire or deplete as intended, and whether overage behaviour matches policy. If finance still sees surprise spikes or unclear settlement outcomes, the control is not functioning as designed.
👉 Read our full editorial: AI token overspend exposes the need for prepaid credit controls
