Auralis VS Decagon

The AI support partner built for outcomes,
not platform homework.

Decagon ships a powerful AI-agent platform — and asks you to build, tune, and own the workflows. Auralis ships the outcomes, with our team running the optimization cadence. Here is how they actually compare on the things that move tickets.

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Bottom Line

Decagon builds the platform; you run it. Auralis builds, runs, and optimizes on your behalf — your team reviews the numbers, not the tooling.

~60%
Ticket Deflection
In repetitive support categories
~30%
AHT Reduction
Blended across all channels
~35%
Faster First Response
Across assisted + auto-resolved tickets
15+
Hours Saved / Agent / Wk
Validated · GrowthOS cohort
At a glance

Three differences that move tickets

The biggest gaps between Auralis and Decagon — on the things that actually affect support outcomes.

TIME TO FIRST VALUE
Auralis

Days. Our team configures Autopilot to your KB and ticket categories in week one.

Decagon

Weeks. Customers design AOPs (Agent Operating Procedures) before agents ship.

WHO OWNS OPTIMIZATION
Auralis

Auralis runs the weekly tuning, QA, and KB-gap closure. Outcomes are ours to deliver.

Decagon

Your CX team owns iteration. Decagon provides the tooling; you provide the staffing.

PRICING TRANSPARENCY
Auralis

Public calculator and a direct quote on the first call. No procurement gauntlet.

Decagon

Sales-led, multi-stakeholder enterprise procurement. No published pricing.

Side by side

How they compare, row by row

Capabilities cited from each vendor's public site as of this week.

Capability Auralis Decagon
PositioningOutcomes — deflection, AHT, FRT, CSAT — shipped by our team.Configurable AI-agent platform you build and operate.
Time to first deflectionDays from kick-off.Weeks; depends on AOPs design and review.
Who builds the workflowsAuralis (from your KB + your top ticket categories).You, in natural-language AOPs.
ChannelsChat, email, voice (Answer in beta).Chat, email, voice.
Optimization cadenceWeekly tuning by Auralis. Locked KPIs.You define and run experiments and QA.
Pricing modelMid-market friendly. Public calculator.Enterprise, sales-led. Pricing not published.
Sweet-spot customer size5–200 support agents. $5M–$500M revenue.Enterprise. Chime and large brands.
Proof metrics~60% deflection · ~30% AHT · ~35% FRT · ~10% CSAT · 15+ hrs/agent/wkChime: 70% resolution · 80% deflection · 95% cost reduction.
Knowledge ownershipAuralis-curated Knowledge Center — we manage gaps and freshness.Your team curates and updates.
Voice readinessBeta (Answer).GA. Decagon Voice is a marquee module.
ImplementationDone-for-you — Auralis configures, tunes, and reports.Self-service tooling + Decagon University.
ROI artifactQuantified ROI model delivered after the first call.Customer stories with outcome numbers.
Best fit if you want…Outcomes in 30 days without spinning up a CX-ops squad.A platform to build a deep, branded agent program with internal CX-ops resources.
Best avoided if you want…Total operator control of every workflow detail.Predictable mid-market pricing and a turnkey go-live.
Why they switch

What we hear on intro calls

Three patterns from customers who moved from Decagon to Auralis.

“We didn’t have a CX-ops team to design AOPs.”
A mid-market SaaS support leader switched after spending six weeks scoping Decagon AOPs without going live. With Auralis they shipped Autopilot in 11 days — the Auralis team owned KB cleanup, top-category triage, and weekly tuning.
~60% deflection by Week 6  ·  12 hrs/agent/wk saved
“Pricing was the blocker.”
An ERP integrator with 60 service-desk engineers liked Decagon’s platform but couldn’t justify enterprise pricing without an internal AI lead. Auralis matched the use cases at mid-market pricing and absorbed the AI-ops work.
Live in 14 days  ·  SLA attainment improved ~18 points
“We needed someone to own the results, not give us another dashboard.”
A fintech support team had a stalled Decagon pilot — strong tooling, but no internal owner for weekly experiments. With Auralis the weekly review is run by us; the ops lead now spends that time on revenue-impact projects.
~35% faster first response  ·  ~10% CSAT lift
Go-live plan

Your 10-day migration playbook

From sign-off to first deflection in two weeks. Auralis runs every step.

Day 0–1
Kick-off + KB audit
We map your top 10 ticket categories and KB sources. You confirm scope and escalation policies.
Day 2–4
Autopilot configuration
Auralis configures Autopilot on your KB and policies. Sandbox runs against historical tickets for accuracy QA.
Day 5–7
Helpdesk integration
We wire the integration (Zendesk, Salesforce, Intercom, Freshdesk, JSM, ServiceNow). QA sign-off from your team.
Day 8
Soft launch (25% traffic)
Auralis goes live on 25% of traffic. Escalation playbooks are live and tested before ramp.
Day 9
Ramp to 100%
Traffic expands to 100% across all allowed ticket categories.
Day 10
Day-30 plan locked
Weekly review cadence starts. Auralis owns KB-gap closure, policy tuning, and KPI reporting from here.
FAQ

Questions we get during evaluations

Straight answers to what enterprise buyers ask when comparing options.

How is Auralis different from Decagon?

Decagon sells you a platform or feature set. Auralis sells you outcomes — our team configures, tunes, and reports against your KPIs. You spend zero time learning a new ops platform.

How long does it take to go live?

Most Auralis customers are live in 10–14 days using the playbook above. We own every step.

What results can I expect?

~60% ticket deflection in repetitive categories, ~30% AHT reduction, ~35% faster first response, ~10% CSAT lift, and 15+ hours saved per agent per week. All numbers validated against the GrowthOS cohort.

Who owns the weekly optimization?

Auralis does. We hold the weekly review, surface KB gaps, propose policy changes, and report against your locked KPIs. Decagon expects your team to do this work.

How does pricing compare?

Auralis pricing is published as a calculator and quoted on the first call. Decagon runs a sales-led process. Auralis is materially less expensive at the mid-market support team size (5–200 agents).

Can we run Auralis and Decagon in parallel during transition?

Yes. We deploy Auralis on a slice of categories or a percentage of traffic first. You keep Decagon running on the rest until you’re confident. Cutover is non-disruptive.

Where does Decagon win?

Enterprise customers with a CX-ops engineering team, a complex multi-brand voice program, and a multi-quarter procurement cycle. If that’s you, evaluate both. If you want outcomes shipped in days at mid-market pricing, Auralis is built for that case.

See Auralis on your tickets,
in 30 minutes.

Your tickets, your KB, your stack — live in the session. Walk away with a written 10-day go-live plan and a quantified ROI model, whether you book or not.

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