Solution

Contact Center Automation

For heads of support, service operations, and customer success in banks, insurers, and high-volume service businesses: intent-based routing and live agent guidance built from the history behind every case.

Support ticketsEmailsChat transcriptsVoice interactionsCRM records
Every routing decision and recommendation loggedContext assembled from CRM, billing, and usage in one viewRouting rules tuned by operations teams, without code

The problem

Why this exists

FIFO

Queues blind to urgency

First-in, first-out treats a frustrated top-tier account and a routine password reset as equals. The angriest customer waits behind the easiest ticket.

Minutes

Context scattered across systems

CRM history, usage data, and billing records sit in separate screens. Every case starts with an agent reconstructing the customer's story by hand.

Ten answers

Every agent improvises

Without shared guidance, ten agents give ten different answers to the same question — and the service experience depends on who picks up.

The product, not a promise

A case queue you can interrogate

Contact Center Automation — workspace
IntentBilling dispute — duplicate chargecited
UrgencyHigh — negative sentiment, repeat contactcited
Customer contextCRM, billing, and usage in one viewcited
RouteSenior agent, retention skill groupcited
Next-best actionFee reversal within policycited
Ambiguous intent — held for human triageverify
HUMAN-APPROVED BEFORE IT POSTS

How it works

File in. Answer out.

  1. 1

    Capture

    Inquiries arrive by email, chat, and voice and are read as they land.

  2. 2

    Classify

    Intent, urgency, sentiment, and customer value are determined from the message and the history behind it.

  3. 3

    Route

    Each case goes to the right resource — an automated resolution, a specialist, or a senior agent — by priority, not arrival order.

  4. 4

    Guide

    Agents see assembled context and next-best-action recommendations while the conversation is live.

  5. 5

    Learn

    Outcomes feed back into routing and guidance; risk signals trigger retention workflows early.

Who it's for

Built for the people who own the outcome

Support agent

The story arrives with the case.

  • Context assembled from CRM, billing, and usage — no screen-toggling
  • Next-best-action guidance grounded in the live conversation
  • Priority already set, so the queue can be trusted

Head of support

Volume spikes are absorbed by triage, not headcount.

  • Low-touch inquiries resolve through automated workflows
  • High-value and at-risk accounts reach senior agents immediately
  • Routing rules tuned by your operations team, without code

Risk & IT

Consistent actions, complete records.

  • Every classification, route, and recommendation is logged
  • Agents converge on policy-compliant answers instead of improvising
  • Access and escalation follow your existing controls
BankingInsuranceSaaS & technologyTelecomUtilitiesHealthcareBPO & shared services
Intent-firstrouting, not first-in-first-out
One viewof customer context per case
Real timenext-best-action guidance
Consistentactions, logged and auditable

First-in, first-out routing treats a frustrated top-tier account and a routine password reset as equals. Meanwhile the context an agent needs — CRM history, usage data, billing records — sits in separate systems, and resolving a case starts with toggling between screens to reconstruct the customer’s story. Contact Center Automation fixes the two failures behind most bad service: work going to the wrong place, and agents working without context.

Routing on intent, not arrival order

The platform reads every incoming signal across email, chat, and voice, and determines intent, urgency, sentiment, and customer value against the history behind the message — before the case enters a queue. Low-touch inquiries resolve through automated workflows. Frustrated customers and high-value accounts route to senior agents immediately. Everything else goes to the right skill group with priority already set. Routing logic, prioritization rules, and agent guidance are configured without code, so operations teams tune the behavior themselves as volumes and products change.

Context and guidance at the moment of contact

When a case reaches an agent, the story arrives with it: unified context pulled from CRM, usage logs, and billing systems into one view. As the conversation runs, the platform pushes next-best-action recommendations grounded in that live context, so different agents converge on the same good answer instead of improvising ten different ones. Every recommendation and decision is logged, which makes the consistency a governance win as well as an experience win.

Retention stops being reactive. Usage drops and sentiment dips trigger customer-success workflows as they happen, well before the cancellation request — support and success operating on one shared logic layer instead of finding out from each other after the fact. Interaction spikes are absorbed by better triage rather than emergency headcount.

Objections, answered

What teams ask us first

How do I trust the routing decisions?

Each classification carries the signals behind it — intent, urgency, sentiment, customer value — and every decision is logged. Cases the platform is unsure about are held for human triage instead of guessed.

Our routing rules are specific to us. Can it follow them?

Yes. Routing logic, prioritization, and escalation paths are configuration, and your operations team changes them directly — no code, no vendor ticket — as products and volumes change.

What happens to customer data?

Case content is processed under your access controls, and every classification, recommendation, and agent action is written to an audit log. Nothing is decided or recorded silently.

How long before it changes anything?

It starts read-only: classifications and suggested routes appear alongside your live queue so you can inspect them before any routing changes. Automation is then turned on queue by queue, at your pace.

Bring your messiest queue.

Watch live cases get classified, routed by intent, and briefed with full customer context in the demo.

Request a demo