The AI support partner built for outcomes, not platform homework.
Einstein for Service is Salesforce's AI suite inside Service Cloud - broad, deep, and priced for Salesforce customers who already pay for the platform. Auralis ships the same support outcomes for any helpdesk, without the Service Cloud project or the per-user uplift.
Einstein is for Salesforce Service Cloud customers willing to fund the project. Auralis works with Salesforce (and any other helpdesk) — delivered as a managed outcome, mid-market priced.
Einstein is for Salesforce Service Cloud customers willing to fund the project. Auralis works with Salesforce (and any other helpdesk) - delivered as a managed outcome, mid-market priced.
- 74%
- Ticket Resolution - In repetitive support categories
- 45%
- Cost Savings - Across support operations
- +26%
- CSAT Lift - Across assisted + auto-resolved tickets
- 5x
- Agent Productivity - Validated · GrowthOS cohort
Three differences that move tickets
The biggest gaps between Auralis and Salesforce Einstein (Service Cloud) - on the things that actually affect support outcomes.
PLATFORM ASSUMPTION
Auralis: Works with Salesforce Service Cloud, Zendesk, Freshdesk, JSM, ServiceNow. Salesforce Einstein (Service Cloud): Service Cloud required. Significant Salesforce footprint assumed.
TIME TO PRODUCTION
Auralis: 10-14 days. Auralis runs the playbook. Salesforce Einstein (Service Cloud): Quarters. SI-led implementation common.
PRICING SHAPE
Auralis: Flat managed fee. Public calculator. Mid-market accessible. Salesforce Einstein (Service Cloud): Per-user Einstein add-on + SI implementation; enterprise-scale.
How they compare, row by row
Capabilities cited from each vendor's public site as of this week.
| Capability | Auralis | Salesforce Einstein (Service Cloud) |
|---|---|---|
| Positioning | Outcomes shipped across any helpdesk. | AI suite inside Salesforce Service Cloud. |
| Platform lock-in | None. | Service Cloud + broader Salesforce footprint. |
| Time to first resolution | Days from kick-off. | Quarters; SI-led implementation common. |
| Who builds the workflows | Auralis. | Salesforce admins + SI partner. |
| Channels | Chat, email, voice (Answer in beta). | Service Cloud channels (chat, email, voice, messaging). |
| Optimization cadence | Weekly tuning by Auralis. Locked KPIs. | Your admins + SI partner own iteration. |
| Pricing model | Flat managed fee. Public calculator. | Per-user add-on + SI implementation fees. |
| Sweet-spot customer size | 5–200 support agents. $5M–$500M revenue. | Mid-to-large enterprise Service Cloud customers. |
| Proof metrics | 74% resolution · 45% cost savings · +26% CSAT · 5x productivity | Salesforce-published Service Cloud + Einstein benchmarks. |
| Knowledge source | Auralis-curated Knowledge Center. | Salesforce Knowledge. |
| Voice readiness | Beta (Answer). | Service Cloud Voice. |
| Implementation | Done-for-you, 10-day playbook. | SI-led implementation; multi-month. |
| Best fit if you want… | Outcomes, fast, on any helpdesk. | A native Service Cloud + Einstein program with SI partner support. |
| Best avoided if you want… | Deep Service-Cloud-only customization. | Mid-market pricing and a turnkey go-live. |
What we hear on intro calls
Three patterns from customers who moved from Salesforce Einstein (Service Cloud) to Auralis.
"Einstein required a Service Cloud project we hadn't budgeted."
A 60-agent support team was on Service Cloud Lite. Einstein required a tier uplift plus an SI partner engagement. Auralis sat on their existing Service Cloud at a fraction of the cost. Result: Avoided SI engagement · live in 13 days
"Our org used Zendesk for support and Salesforce for CRM."
A B2B SaaS team had support running on Zendesk and didn't want to migrate to Service Cloud just to use Einstein. Auralis worked with Zendesk natively. Result: No helpdesk migration · ~58% resolution
"Einstein's per-user uplift was 2x our AHT savings."
A 40-agent team calculated the ROI on Einstein add-ons and the per-user fees outweighed projected savings at their scale. Auralis's flat managed fee changed the math. Result: Positive ROI in Quarter 1 · mid-market price
Your 10-day migration playbook
From sign-off to first resolution 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.
Questions we get during evaluations
Straight answers to what enterprise buyers ask when comparing options.
Einstein 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.
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.