Sentiment Agent
Continuously scores every customer interaction across cases, chat, voice, and surveys. Generates a sentiment score per signal, per case, per account — across every channel you use.
Continuously scores every customer interaction across cases, chat, voice, and surveys. Generates a sentiment score per signal, per case, per account — across every channel you use.
Predicts escalations before they’re filed. Surfaces at-risk cases days in advance so managers can intervene, swarm, or reassign before a customer reaches for the panic button.
Ranks the entire backlog by urgency, business impact, and customer health. Stop guessing which case to work next — the agent picks for you, every minute of the day.
Matches every case to the right engineer based on skills, bandwidth, shift coverage, and past performance on similar issues. Generates a compatibility score per agent, per case.
QA on 100% of interactions — not the 2% manual review can reach. Generates a CES score, surfaces coachable moments, and lets QA managers focus on calibration, not transcription.
Transcribes, redacts, and analyzes every voice call. Detects tone, hold time, dead air, profanity, and professionalism — and turns each call into a structured signal stream.
Precision RAG that outperforms public LLM benchmarks. Generates accurate, cited answers from internal and external KB articles — and drafts new articles from resolved cases automatically.
Closes Tier-1 issues end-to-end using grounded answers from your knowledge base. Cites sources on every response. Hands off to a human only when the substrate isn’t sure.
Generates a real-time account health score from every signal across every channel. Pinpoints churn risk and expansion opportunity weeks before either becomes obvious.
Case summaries, account summaries, escalation digests, and weekly briefings — generated on demand or pushed to Slack and Teams. Status meetings become unnecessary.
Auto-translation across every reply. Grammar and tone assist for agents writing in their second language. One agent can support customers in dozens of locales without the localization tax.
Watches every clock on every case. Alerts before SLAs breach, not after. Surfaces patterns that point to root-cause SLA problems rather than just one-off misses.
Surfaces trends, themes, product feedback, and feature requests across thousands of cases. Turns support into a continuous voice-of-customer feed for product, sales, and marketing.
Drafts replies in your customer’s language and your company’s brand. Knows the account history, the open tickets, the previous resolutions. Agents edit; they don’t compose from scratch.
Pushes the next best action to the right human at the right moment. In Slack, in Teams, in the CRM widget — wherever the work happens. Configurable rubrics, no engineering required.
Inside the CRM. Inside Slack. Inside the work. The agent that knows your case history, your knowledge base, and your account context — and answers questions in natural language.
The substrate. Eliminate surveys, escalations, manual case assignment, and revenue churn. The default starting point for most enterprises.
Explore Core SX →Quality at scale. Replace manual QA, fix CSAT problems before they ship, and coach 100% of interactions instead of a 2% sample.
Explore Elevate SX →Deflect and resolve. Eliminate Tier-1 cases, tribal knowledge, and agent ramp-up time. Precision RAG that customers and engineers both trust.
Explore Resolve SX →The same 16 agents that run inside the SupportLogic Command Center also surface in your CRM, your Slack workspace, your customer portal, your mobile experience, and any AI assistant that speaks MCP — with full context, full history, every time.
In 45 days, SupportLogic can be live on your data — extracting signals, running agents, and powering whatever you build on top. Talk to us about replacing what you don’t need anymore.