0%
Ingesting events
Solutions  ·  Cognitive CX

Fix the problem before it becomes a ticket.

Xect AI is a self-healing CX layer: agents detect the failed payment or broken login the moment it happens, fix what they can automatically, and explain what they can't, before the customer ever opens a ticket.

Customers report the outage before you detect itSupport agents ask the same five questions on every callEvery fix waits for a human to read the same logs
Agents catch the failure from the event stream, not the call queueKnown fixes run themselves in seconds, zero LLM calls on repeatThe 20% that need a person arrive with root cause attached
Explore

Cognitive CX,
from every angle

From the customer reporting it
to the system catching it first

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 root cause instead of a blank ticket.

 Today
The customer is the first system to notice the failure
Support asks the same five questions before finding the cause
The same known fix gets typed out by hand, every time
No record of what broke or why, until someone escalates
 With Xect AI
Symptom detection agent catches the failure from the event streamEvents
Root-cause agent matches the symptom to a known failure signatureAgents
Known fixes replay through a verified flow, zero LLM callsFlows
Every detection and fix logged against the account's full historyGovernance
How it works

Symptom to resolution, in four moves

01 · Watch
02 · Diagnose
03 · Heal
04 · Log
01

Watch

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.

Event ListenerWebhook
02

Diagnose

The Root-Cause Agent matches the symptom against known failure signatures, checking recent deploys, gateway status and account state. Every diagnosis cites the specific signal it matched, not a guess.

AI AgentPolicy
03

Heal

A published Flow runs the verified fix, retries the failed payment, unlocks the account, or resubmits the stuck order, and confirms the outcome before closing the loop. Zero LLM calls once the pattern is known.

FlowBuild-once
04

Log

Every detection, fix and outcome is traced to MLFlow and attached to the account's permanent CX record. Fixes without a known pattern pause and route to a support agent with the root cause already attached.

ApprovalTrace

The three agents that run this flow

Each agent owns one step in the symptom-to-resolution path above and hands off cleanly to the next.

What changes when the system notices first

Fewer calls that start with “it's still broken”

0
signal to symptom detected

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.

Known issues resolved without a human touching the ticket

~4s
symptom to self-heal complete

The self-heal agent replays the verified fix through a published flow. Zero LLM calls once the failure signature is known.

Support agents start with the answer, not the question

40+
node types to model a resolution flow

Every escalation that reaches a person arrives with the root cause, the account history and the fix already attempted, attached.

Churn risk flagged before the cancellation call

200+
connectors feeding the CX signal layer

The billing, product and support history that predicts churn already lives in your other systems. Xect AI agents pull it through and flag the account before the cancellation conversation happens.

When the pattern is known, the agent already fixed it. When it isn’t, the right person gets the ticket with root cause already attached.

The same agent, five different customer-facing failures

Telecommunications & ISPs

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 page

Property, Hospitality & Facility Management

When 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 page

Repair & Maintenance (Medical Equipment & Field Healthcare)

When a patient portal login fails after a records update, Xect AI catches the sync mismatch, corrects the record, and restores access without a compliance-sensitive support call.

See the industry page

Insurance & Security Monitoring

When 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 coverage stays active.

See the industry page

E-commerce & Digital Products

When 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-commerce

Built for the people who own the queue, the churn number and the fix

Head of Customer Support

Owns fewer tickets, not a bigger team

Owns the queue and the CSAT number, and needs known issues resolved before they become tickets, not a bigger roster to answer more of them.

Known failures self-heal before the customer notices
Escalations arrive with root cause and account history attached
CSAT tracked against detection speed, not just resolution time
Support / CX Agent

Works the ticket that still needs judgment

Owns the conversation with the customer, and shouldn't be the one discovering the outage a sensor already saw three minutes ago.

Root cause and account history attached to every escalation
The fix already attempted is visible before the call starts
Only the escalations that need judgement reach the queue
VP of Customer Success

Sees churn risk before the cancellation call

Owns retention and expansion, and needs the billing, product and support signals that predict churn correlated automatically, not discovered at renewal.

Churn signals correlated across billing, product and support automatically
At-risk accounts flagged before the renewal conversation
Every self-healed issue logged against the account's health score
Product / Reliability Engineer

Sees the failure pattern, not just the ticket count

Owns the systems that generate the failure signals, and needs to know which fixes are recurring often enough to warrant a permanent code fix.

Every detected symptom traced to the exact signal that triggered it
Recurring self-heals surfaced as candidates for a permanent fix
Full execution history for every automated fix, per run

Answer the failure before it's reported.

Book a 30-minute demo and see Xect AI catch a failure, fix it, and confirm the outcome on your own data.