Mid-cycle changes that bill correctly — and keep finance in sync
Celthrac's agentic AI handles the messy financial logic of mid-cycle amendments — added seats, tier changes, co-termed modules — calculating exact proration and aligning billing with ERP deferred-revenue requirements automatically.
Mid-cycle changes that bill correctly — and keep finance in sync
Celthrac's agentic AI handles the messy financial logic of mid-cycle amendments — added seats, tier changes, co-termed modules — calculating exact proration and aligning billing with ERP deferred-revenue requirements automatically.
What it costs today
Mid-cycle contract amendments generate complex financial logic across billing, contract, and ledger. Handled by rule-based paths, the proration is approximate, the co-terming is error-prone, and the ERP's deferred-revenue view quietly diverges from what's actually billed.
Why rule-based fails
Deterministic flows handle clean renewals, not mid-cycle complexity. They can't reason about overlapping periods, partial proration, and co-term alignment simultaneously — and they have no mechanism to keep billing plans and ERP deferred revenue reconciled as the contract mutates.
What the agent does
When a mid-cycle amendment executes in Salesforce CPQ, our agent processes the updated contract structure, reviews current Chargebee billing-period balances, and computes exact prorated amounts. Critically, it verifies that the updated billing plan matches the corresponding SAP S/4HANA deferred-revenue recognition requirements — keeping all three systems coordinated without manual reconciliation.
Reasoning, memory and action — not another rule.
Exact, not approximate.Proration reflects the real overlapping periods, every time.
Multi-system coordination.Billing and ERP deferred revenue stay aligned automatically.
Handles complexity.Co-terming and tier changes resolve in one reasoning pass.
What this pattern returns.
You bill amendments accurately and instantly, eliminate the manual proration work and the disputes that imprecise charges cause, and keep revenue recognition clean — which matters enormously at audit. Customers experience upgrades as frictionless, which supports expansion revenue.
We deploy on Celigo, suited to SAP-centric estates where revenue-recognition compliance is non-negotiable, and engineer the proration logic to be precise and auditable. AI-First means expansion revenue flows correctly the moment a customer says yes.
One of 15 agentic AI use cases for CRM, ERP & billing.
Every one converts a recurring source of manual labour, revenue leakage or compliance risk into a governed, autonomous workflow.
From this patternto your platform.
Same approach. Same governance. Your stack next — bring the constraints, leave with the path.