Xect AI agents monitor payment, authentication and order events to identify service exceptions, apply approved resolution workflows to recognized issues, and equip support teams with the relevant account records when a case needs further investigation.
Support finds out about most failures from the customer, hours after the event that caused it. Xect AI agents watch the same payment, auth and order-status signals your systems already emit, catch the failure the moment it happens, and either fix it or hand a support agent the likely cause instead of a blank ticket.
Payment gateway callbacks, auth logs and order-status events feed one Avro-typed stream that Xect AI watches for the pattern behind a customer-facing failure. A symptom is flagged the moment it crosses a threshold, tagged to the account and order it affects.
The Root-Cause Agent matches the symptom against known failure signatures, checking recent deploys, gateway status and account state. Each diagnosis names the likely cause and cites the specific signal it matched.
A published Flow runs the verified fix, retries the failed payment, unlocks the account, or resubmits the stuck order, notifies the customer, and confirms the outcome before closing the loop. Zero LLM calls once the pattern is known.
Each detection, fix and outcome is traced to MLFlow and attached to the account's permanent CX record, including whether the case reopens or the customer contacts support again. Fixes without a known pattern pause and route to a support agent with the likely cause already attached.
Each agent owns one step in the symptom-to-resolution path above and hands off cleanly to the next.
Catches the failure from the event stream before the customer calls
Watches payment callbacks, auth logs and order-status events on one Avro-typed stream for the pattern behind a customer-facing failure. Flags the symptom automatically once a threshold is crossed, tagged to the account it belongs to, then hands off to the Root-Cause Agent.
Matches the symptom to a known failure signature and identifies the likely cause
Checks the symptom against recent deploys, gateway status and account state to identify the likely cause of the failure. Each diagnosis cites the specific signal it matched, giving a support agent a documented starting point instead of a blank ticket, then hands off to the Self-Heal Agent when a known fix applies.
Runs the verified fix, including outcome verification, in about 4 seconds
Runs the matched fix through a published Flow, retries the payment, unlocks the account or resubmits the order, notifies the customer, and confirms the outcome before closing the loop. Routes to a support agent with the likely cause and each attempted fix already attached when no known pattern applies.
A payment or auth agent catches the failure from the same event stream Xect AI already ingests at 48K events/sec, before the customer notices anything is wrong.
The self-heal agent replays the verified fix through a published flow. Zero LLM calls once the failure signature is known.
Xect AI models each resolution path with 40+ node types, so each escalation that reaches a person arrives with the likely cause, the account history and the fix already attempted, attached.
Xect AI pulls billing, product and support history through 200+ connectors already feeding the CX signal layer, correlates it automatically, and flags the account before the cancellation conversation happens.
When the pattern is known, the agent applies the fix automatically. When it isn’t, the right person gets the ticket with the likely cause already attached.
When a subscriber's data session drops repeatedly, Xect AI catches the pattern from network telemetry, resets the session automatically, and confirms restored service before the subscriber calls in.
See the industry pageWhen a guest's keycard fails at check-in, Xect AI catches the sync error from the access system, reissues the credential, and notifies the guest before they walk to the front desk.
See the industry pageWhen a patient portal login fails after a records update, Xect AI flags the sync mismatch and restores portal access under the account's existing verification rules, reducing compliance-sensitive support calls.
See the industry pageWhen a policyholder's premium payment fails silently, Xect AI catches the decline from the payment gateway, retries with the backup method on file, and confirms the payment outcome, helping prevent an avoidable lapse in coverage.
See the industry pageWhen an order gets stuck between payment capture and fulfillment, Xect AI catches the stall, resubmits the order to the fulfillment queue, and emails the customer a status update before they check.
Talk to us about e-commerceOwns the queue and the CSAT number, and needs known issues resolved before they become tickets, not a bigger roster to answer more of them.
Owns the conversation with the customer, and shouldn't be the one discovering the outage a sensor already saw three minutes ago.
Owns retention and expansion, and needs the billing, product and support signals that predict churn correlated automatically, not discovered at renewal.
Owns the systems that generate the failure signals, and needs to know which fixes are recurring often enough to warrant a permanent code fix.
Book a 30-minute demo and see Xect AI catch a failure, fix it, and confirm the outcome on your own data.