Recover the payment without damaging the relationship
Celthrac's agentic AI reads the full account context — value, sentiment, support history, receivables — and builds a recovery path that fits the customer, instead of firing the same cold notice at everyone.
Recover the payment without damaging the relationship
Celthrac's agentic AI reads the full account context — value, sentiment, support history, receivables — and builds a recovery path that fits the customer, instead of firing the same cold notice at everyone.
What it costs today
Rigid dunning mechanisms handle every failed transaction uniformly. The result is a one-size-fits-none process that under-recovers from casual users and actively annoys the strategic accounts you can least afford to upset.
Why rule-based fails
Rule-based billing flows fire on a fixed schedule with fixed copy. They can't weigh a customer's lifetime value, can't read sentiment or open support tickets, and can't decide that this account should be handed to a human instead of an email cadence.
What the agent does
When Zuora signals a payment failure, our agent reviews the account across systems: customer sentiment and open support metrics in Salesforce, accounts-receivable history in Sage Intacct. It then builds a hyper-tailored recovery path — a direct payment link for lower-tier users, and for a key strategic account, pausing automated notices entirely and drafting a personalized alert for the named Account Executive to handle.
Reasoning, memory and action — not another rule.
Value-aware.Recovery effort scales with the worth and fragility of the relationship.
Sentiment-sensitive.Unhappy or at-risk accounts are handled with care, not cadence.
Human-routed where it counts.Strategic accounts reach a person, not a dunning loop.
What this pattern returns.
You improve recovery rates on routine failures while protecting the high-value relationships that drive the majority of revenue. Fewer strategic customers are pushed toward churn by a tone-deaf collection email — and your AEs get a warm, contextual handoff instead of a fire to put out.
We engineer the recovery logic as a context-reasoning agent on the runtime your stack favours. AI-First means dunning becomes relationship-aware revenue recovery — the difference between collecting a payment and keeping a customer.
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.