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Answer customers
Portal answers grounded in your published knowledge, with links back to the source articles — and a clean handoff into a case if AI cannot solve it.
Supportbench helps B2B teams answer routine questions instantly, guide agents through complex issues, automate support work, and improve service quality using customer history, knowledge, SLAs, escalations, and case context in one platform.
Built into Supportbench — not bolted on later. Onboarding and training included. Pricing starts at $32 per agent / month billed annually, with Enterprise starting at $100.
Auth → SSO → Signing, then re-test with the staging user. Acme resolved the same issue in 12 minutes last Feb (case #3104).Portal answers grounded in your published knowledge, with links back to the source articles — and a clean handoff into a case if AI cannot solve it.
AI Copilot, suggested replies, summaries, translation, and escalation handoffs based on real account, case, and KB context.
Routing, tagging, QA, sentiment, FCR, predicted CSAT — automation that runs in the background.
Many AI tools answer FAQs. Some draft replies. A few automate simple tasks. But B2B support teams need more than a generic bot or a disconnected add-on — they need AI that can see the account, the case history, the knowledge base, the SLA, the escalation path, and the customer signals behind the issue.
When AI is grounded in support context, it can do more than sound smart. It can route better, summarize better, suggest better responses, spot risk earlier, and create a smoother handoff between self-service, agents, and leadership.
Give customers faster answers with AI grounded in your published knowledge. Portal answers link back to the source articles so customers can check the detail, an FAQ-style QA bot handles structured support content, and an external knowledge bot extends self-service across your customer-facing KB. When AI cannot confidently answer, Supportbench turns that moment into a new case and carries the conversation forward instead of dead-ending the customer.
Give every agent an AI Copilot that works in the flow of support. Ask what is happening on any case or account, catch up with summaries, draft, rewrite, and translate replies, and prepare escalation handoffs from case evidence — with your team reviewing what is sent, and without switching tabs.
Put AI to work behind the scenes. Automatically prioritize and tag cases, detect likely first-contact resolution, score sentiment and effort, generate case and activity summaries, predict CSAT and CES trends, and help your team turn solved cases into tomorrow’s knowledge.
Answer structured FAQ and support questions intelligently, with portal answers that link to their source articles. If the answer is not there, escalate into a new case and continue the support journey.
Ask what is happening on any case or account, search past cases and knowledge in real time, and get a suggested next response without the usual context hunt.
Draft the next customer reply, improve tone and clarity, and help agents create better activity updates from the full thread history.
Translate replies into the customer’s preferred language so global accounts get clear answers, while agents keep working in their own language.
Draft escalation handoffs from case evidence and your templates, so the next tier gets the full story. The agent chooses the template and reviews before it goes.
Connect compatible AI assistants to Supportbench over MCP with authenticated, permission-controlled access to cases, customers, knowledge, and reporting.
Summarize new cases, customer activity, and full case histories. Review conversations for quality, empathy, accuracy, and consistency.
Turn solved cases into knowledge articles faster. Generate subject lines, summaries, keywords, and first drafts from real support interactions.
Auto-tag, auto-prioritize, detect FCR, surface sentiment, and predict CSAT or CES so teams can act before the survey arrives.
Supportbench AI is stronger because it is not isolated from the rest of support. It works alongside dynamic SLAs, escalation management, KCS-driven knowledge, customer health scoring, surveys, dashboards, role-based permissions, customer notes, portal workflows, and the account-level context that B2B teams depend on.
That means the result is not just faster writing or faster deflection. It is better support operations: more consistent triage, fewer missed escalations, better-quality responses, stronger visibility for leaders, and fewer gaps between what customers see and what agents know.
Supportbench combines AI assistance with account-aware support operations, so teams can move faster without losing control of workflows, quality, or customer context.
No “AI add-on” tier. AI is included in Supportbench — alongside account and contact panels, dynamic SLAs, escalations, surveys, reporting, dashboards, and onboarding.
Full AI suite, account context, SLAs, escalations, surveys, reporting, dashboards, onboarding and training included.
For teams that need SSO/SAML, advanced permissions and sandbox, custom migration, and a dedicated TSAM / CSM.
We’ll walk through how Supportbench handles customer self-service, the AI Copilot, summaries, translation, routing, QA, and B2B workflow automation using the kind of support complexity your team actually deals with.