Customer Service

Customer service agents that act with confidence, not guesswork.

Multi-agent teams triage, contextualize, draft, and act on top of your existing helpdesk — every decision auditable, replayable, and protected by regression gates that stop quality from silently degrading.

Customer Service in action
Up to 60%

ticket deflection in the first month

Seconds

to first reply vs the industry’s hours-long average

Up to 80%

lower cost per resolution than a human agent

Compounding

resolution quality, regression-gated

The problem

Why most support AI never makes it past the pilot

When the AI is wrong, you have no defence

A wrong refund, a missed escalation, a hallucinated answer — and by the time you find out, the customer is angry and the trail is cold. Most agents make decisions you cannot replay, audit, or explain.

You buy four tools and still cannot ship faster

Build in one vendor, test in another, monitor in a third, track quality in a spreadsheet. Nothing feeds back, so insights from production never reach the next deploy and quality stays stuck.

Your competitor’s agent gets smarter every week

The agent you ship today is the agent you have next quarter — unless someone manually intervenes. No CI/CD, no regression tests, no learning loop means no compounding improvement.

Capabilities

A full agent team for every conversation

Each capability is an agent skill you can compose, govern, and trace — working together on every ticket, with a human in the loop where it matters.

Up to 60%

ticket deflection in the first month

Seconds

to first reply vs the industry’s hours-long average

01

AI triage & urgency

Classifies intent, scores urgency 1–5, detects SLA risk, and summarizes every ticket in one sentence.

02

Account context intelligence

Enriches each ticket with tier, contract, renewal date, history, and CSAT from your CRM and ERP.

03

Cross-customer pattern detection

Scans your whole ticket base to catch systemic issues — "3 sites hit the same bug in 14 days."

04

Action planning & escalation

Chooses auto-reply, human review, or engineering escalation with a confidence score and audit trail.

05

Reply & handoff drafting

Writes customer replies with citations and drafts structured Jira tickets including full reasoning.

06

Knowledge intelligence

RAG over Confluence, Zendesk Guide, SharePoint, and PDFs — with stale-article and gap detection.

07

Autonomous service agents

Password reset, order status, RMA, and warranty handlers in read-only, approval, or autonomous modes.

08

Full audit & time-travel replay

Every decision, tool call, and state change captured and replayable, side-by-side with the conversation.

How it works

How a ticket flows through the team

Five specialized agents collaborate on every inbound ticket, while a proactive workflow scans for emerging incidents every six hours.

1

Inbox triage

Classifies intent, urgency, SLA risk, and sentiment into structured JSON.

2

Account context

Enriches the ticket with customer data from your CRM and ERP.

3

Prior-art scout

Queries your knowledge base and scans cross-customer tickets for patterns.

4

Action planner

Decides the escalation path with a confidence score and justification.

5

Reply & handoff

Drafts the customer reply plus a Jira ticket with the full reasoning trace.

Customer Service workflow
Why Zytherum

What makes it different

Regression safety gate

Every agent change runs an automated eval suite. If quality drops, it does not deploy — full stop.

Confidence-gated autonomy

Each reply carries a score and a routing decision: auto-send, queue for review, or escalate. A gradient, not a binary.

Full reasoning replay

Time-travel debug any production decision, including the tool arguments and results — not just logs.

Multi-agent teams by default

Agents collaborate, hand off, and escalate with shared memory across the whole customer journey.

Operator overlay

A split screen shows the customer conversation and the bot’s reasoning side-by-side, collapsing the trust gap.

One platform, many motions

The same runtime, eval studio, and memory power QA, IT, HR, and e-commerce — no new vendor to expand.

Use cases

Built for real support operations

Emerging incident detection

01

The proactive workflow clusters open tickets and alerts engineering when a new failure mode appears across customers — hours before a human would notice.

High-urgency SLA protection

02

A platinum-tier ticket near renewal is flagged for SLA risk, enriched with contract terms and CSAT, and escalated automatically.

Self-service at scale

03

Autonomous agents handle password resets, order status, and warranty lookups end-to-end — every action audited.

New-agent enablement

04

A copilot drawer lets a new hire answer most tickets by suggesting replies, citing sources, and summarizing context.

Connects to the stack you already run
ZendeskIntercomFreshdeskSalesforceHubSpotShopifySlackWhatsAppJiraOktaEntra IDServiceNowConfluenceSharePoint

Give support a platform built for real ownership.

Connect your helpdesk on day zero. Agents propose, your team approves, and every change is regression-tested before a customer ever sees it.