The AI intelligence layer enterprise support teams have been waiting for
SupportLogic Core SX is five purpose-built AI agents that form a live intelligence layer above your existing tech stack — connecting siloed customer data to detect sentiment, churn risk, and escalation signals in real time.
Enterprise support teams are sitting on a goldmine of customer signals. But they’re buried in data silos and unstructured conversation data that no one has time to review. SupportLogic Core SX is the AI intelligence layer that changes that.
Core SX combines seven AI agents — Sentiment, Escalation, Prioritization, Routing, Language, Voice, and Account Health — plus Data Cloud in one powerful platform that integrates directly with your existing tech stack and overcomes data siloes. No rip-and-replace. No custom engineering. Just a live intelligence layer connecting and analyzing the support data you already have.
An AI intelligence layer for enterprise support — not another tool to manage
Most enterprise support AI initiatives stall because of the same three problems: customer data silos, fragmented tooling, and the engineering overhead of building custom pipelines. Core SX solves all three by acting as an intelligence layer over your existing stack.
Live data integration
Syncs continuously from Salesforce, Zendesk, ServiceNow, Jira, and more via native connectors — no batch exports or manual ETL.
Purpose-built AI for support
Models fine-tuned on B2B support language, not generic LLMs. Understands the nuance of support conversations, escalation patterns, and churn signals.
No infrastructure changes
Core SX is an AI intelligence layer that complements and enhances your existing tools.
40+ identifiable signals
Surfaced in real-time so you can act now to improve the customer experience.
Enterprise-grade security
SOC II Type 2, ISO 27001, GDPR, HIPAA-ready.
7 Agents + Data Cloud, One Enterprise Intelligence Layer
All seven agents plus Data Cloud are included in Core SX — so you’re not paying separately for sentiment, escalation, routing, and data warehousing as your needs evolve.
A single, unified view of CX and operational performance
SupportLogic Data Cloud adds raw and normalized support data, enriched with AI-driven sentiment signals and predictive insights, to your enterprise data warehouse and merges support insights with product, account, and revenue data.
It provides access to both raw and normalized support data, including AI-enriched fields like sentiment scores, attention levels, and escalation predictions—structured for easy integration with your BI environment.
Seamless data integration
SupportLogic Data Cloud connects support data directly to business intelligence tools via Snowflake. It extracts raw and normalized support data every 6 hours while UI data refreshes every 24 hours.
Ambient AI agents that run 24×7
The Sentiment Agent is the foundation of Core SX. It continuously reads and scores every customer interaction — ticket comments, email threads, chat transcripts, call notes — across your connected CRM data, surfacing the real voice of the customer in real time.
Unlike CSAT surveys that arrive after the damage is done, Sentiment Agent detects signals of a negative experience during the support journey. It surfaces interactions trending negative so your team can intervene before a complaint becomes an escalation or churn.
What it detects
- Customer emotions, both positive and negative, in unstructured text
- Sentiment trends across an account over time (not just per-ticket)
- At-risk accounts with compounding negative interactions
- Real-time churn risk scoring surfaced to CSMs and support leads
“Whenever we witness a surge in negative sentiment, our team springs into coordinated action, and the outcomes we achieve are consistently on target.”
Capabilities
- Real-time sentiment scoring
- Account-level trend analysis
- Works on unstructured text
- CRM-native signal surfacing
Replaces / eliminates
- Manual case review for tone
- Reactive CSAT-only programs
- Gut-feel churn assessment
- Weekly sentiment report lag
Related resources
Escalations can cost three times more to address and resolve than a regular case. The Escalation Agent uses a combination of historical case patterns, sentiment signals, SLA data, and contextual data to predict which tickets are likely to become executive escalations — before they do.
Instead of waiting for a customer to loop in their VP, your team gets an early warning signal that triggers a proactive workflow.
Manage escalations end-to-end. Swarm with escalation reviews and native messaging — reassign cases, add internal case notes, or loop in team members via Slack or Teams. Identify patterns in custoer escalations with custom reports.
SLA priority is a proxy metric. It tells you how old a ticket is, not how urgent it is. The Prioritization Agent converts signals from the Sentiment Agent into patented scores that reflect the overall health of every case and customer. Like a speedometer, the scores give you a quick read on every case’s health.
When case sentiment turns negative or urgent, the model immediately pushes the case to the top of the queue. These early indicators help you quickly address the most pressing cases, letting you swarm resources, reassign a case, or check the status with your team.
The result: your highest-risk customers get faster responses, and your team stops triaging by metadata, gut feel, or ticket age. This is case review automation at the queue level.
Ways to use Prioritization Agent
- Filter for a subset of cases and use leading indicators — like sentiment score, attention score, or account health — to decide which cases need attention first.
- Allocate resources more effectively by seeing the status of every agent’s open cases to understand and reduce backlog.
Misrouting is a silent tax on your support operation. Every reassignment adds handling time, frustrates the customer, and burns agent capacity. The Routing Agent analyzes case content, required expertise, agent skill profiles, and current queue load to match cases to the right person — automatically, at the moment of creation.
Unlike rules-based routing that requires constant maintenance, the Routing Agent learns from your resolution patterns and continuously improves match quality using live support data integration.
Routing factors
- Technical content classification (product area, issue type)
- Agent expertise scoring and historical resolution patterns
- Current queue load balancing
- Account relationship history (preferred agent matching)
- Language detection (feeds into Language Agent)
For enterprise teams supporting global customer bases, language is a hidden bottleneck. The Language Agent lets your team translate any support conversations to English, run AI on the conversation, and then respond back to the customer. SupportLogic’s two-way Language Agent means you can analyze any interaction while serving your customers in their language.
Critically, it preserves sentiment signal accuracy across languages — ensuring that a frustrated customer gets the same escalation and prioritization treatment regardless of the language they write in.
What you can do with Language Agent
- Serve customers in their own language: Translate incoming customer support conversations to English and write and send a response in the customer’s language.
- Translate entire case logs: Translate an entire case, act on sentiment labels and predictions, and use these signals across the business.
- Write faster with grammar and tone assist: Take advantage of several tone presets to make customer response consistently great across the team.
AI-powered voice analysis unearths not-so-obvious issues, patterns, keywords across all support interactions. Once the conversation is translated to text, sentiment, urgency, and intent are detected and reflected in the case’s scores.
This creates a complete, omni-channel hub for capturing and acting on the voice of the customer.
Account Health Agent gives account managers, CSMs, and revenue leaders a continuous, objective view of account health. That’s not only important for both protecting and growing revenue. If your team has ever been blindsided by a churn notice, it’s time to move your account management from reactive firefighting to proactive portfolio management.
How it works
- Monitors 100% of post-sales interactions across siloed channels
- Objectively scores account health using 15+ contributing factors
- Surfaces early churn signals and expansion opportunities
- Delivers insights directly to your team in the tools they already use
“SupportLogic has become a foundational tool for how we engage with customers. It’s not just about solving problems anymore; it’s about building stronger, long-term relationships.”
How Core SX connects to your existing tech stack — without engineering overhead
The biggest barrier to AI adoption in enterprise support isn’t AI capability — it’s customer data silos. Ticket data lives in Zendesk. Account health is in Salesforce. Conversation history is in Jira. No one has a full picture, and building custom pipelines to stitch it together takes months. Core SX solves this with a pre-built data access layer that handles connection, normalization, and real-time syncing for you.
Native connectors
Pre-built integrations with Salesforce, Zendesk, ServiceNow, and more — no custom code required.
Real-time data syncing
Differential sync pushes only changed data — so agents always work from the current state of a case, not a stale export.
Universal normalization
Data from different systems is mapped to a common schema so signals can be correlated across your tech stack simultaneously.
Security-first architecture
From end to end, our software is designed to keep your data secure and maintain our track record of ZERO breaches or loss of data.
No changes to source systems
Core SX reads from your existing tools via APIs — you don’t reconfigure Salesforce or Zendesk to make it work.
Go live in 45 days
Some customers complete core onboarding and begin seeing, and acting on, signals in as little as 45 days.
For a deeper technical explanation of how the data layer works, read our Cognitive AI Cloud architecture overview or explore the full integrations directory.
Buy (Core SX) vs. Build
| Capability | SupportLogic Core SX | Build in-house | Generic AI tools |
|---|---|---|---|
| AI data access for customer support | ✓ Pre-built, live sync | ✕ 6–18 months to build | ~ Manual export required |
| Helpdesk/CRM connectors | ✓ Native, no-code | ✕ Custom API work | ~ Limited or paid add-on |
| Real-time data syncing | ✓ Differential sync | ✕ Batch jobs typically | ✕ Not standard |
| Customer data silos resolved | ✓ Cross-system normalization | ~ Possible, but expensive | ✕ One system only |
| Sentiment analysis (support-specific) | ✓ Domain-tuned NLP | ~ Generic LLM quality | ~ Generic, not B2B tuned |
| Escalation prediction | ✓ Included in bundle | ✕ Requires model build | ✕ Not available |
| Case review automation | ✓ Priority + routing | ~ Rules-based only | ~ Limited |
| Data privacy and security | ✓ Single-tenant VPC standard | ~ DIY compliance | ✕ Shared infrastructure |
| Time to value | ✓ ~2 months | ✕ 12–24 months | ~ Weeks, but ROI is limited |
| Multilingual support | ✓ Standard | ✕ Additional build scope | ~ Varies |
What enterprise support leaders ask about Core SX
Guides, case studies, and webinars for enterprise support leaders
Ready to add an AI intelligence layer to your support operation?
SupportLogic Core SX connects to your existing helpdesk and CRM, begins surfacing sentiment and escalation signals within days, and gives your team live intelligence across every customer interaction — without replacing a single tool you already use.
This page describes SupportLogic Core SX capabilities and architecture as of May 2026.
Elevate Your Support Experience
Reduce escalations and cut through backlog to increase customer retention and revenue with the first Support Experience Platform