AI Customer Support · Built for B2B teams

AI customer support that understands the account behind the case

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.

How the copilot answeredConfidence 94%
1
Understood intent
SSO failureSAML responseUrgency: high
2
Grounded in 4 sources
KBIdP cert rotation — SAML binding96%
#Case #3104 · Acme · Feb91%
#Case #2871 · Globex84%
DOCRunbook · Auth → SSO → Signing78%
3
Drafted reply
Re-upload the new IdP signing cert under Auth → SSO → Signing, then re-test with the staging user. Acme resolved the same issue in 12 minutes last Feb (case #3104).
AccountAt risk
Acme Corp · Enterprise
14 prior cases · CSM M. Chen
3h 12m
SLA left
−0.6
Sentiment
3.1
CSAT
71%
FCR
Next best action
Escalate to Tier 2 — auth specialist
Based on intent, account health, and SLA pressure.
AI customer support should do three jobs well: help customers get answers, help agents resolve faster, and help leaders improve quality. If it only drafts a message or only powers a chatbot, it is not doing enough for a B2B support team.
💬

Answer customers

Self-service grounded in your approved knowledge — with a clean handoff into a case if AI cannot solve it.

Assist agents

Copilot, suggestions, summaries, and writing help based on real account, case, and KB context.

📊

Improve operations

Routing, tagging, QA, sentiment, FCR, predicted CSAT — automation that runs in the background.

The problem

Most AI customer support tools stop at the surface

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.

How it works

One platform. Three layers of AI customer support.

Layer 01

Customer AI

Give customers faster answers with AI bots grounded in your approved knowledge. Use an FAQ-style QA bot for structured support content, or extend self-service with an external knowledge bot that reads 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.

  • QA bot grounded in approved content
  • External knowledge bot for self-service
  • Auto-escalate unresolved chats to a case
Layer 02

Agent AI

Give every agent a copilot that works in the flow of support. Supportbench looks across previous cases, internal and external knowledge, and live case activity to surface relevant answers, draft the next response, summarize what happened, and help agents write clearer, stronger replies — without switching tabs.

  • Suggested next-best response
  • Case + activity summaries
  • Tone and clarity rewrites
Layer 03

Operational AI

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.

  • Auto-tag, auto-prioritize, FCR detection
  • Sentiment + predicted CSAT/CES
  • Solved cases → KB drafts
Capabilities

What Supportbench AI can do across the support lifecycle

🤖

Customer QA AI Bot

Answer structured FAQ and support questions intelligently. If the answer is not there, escalate into a new case and continue the support journey.

🧑

AI Agent Copilot

Search past cases and knowledge in real time, suggest the next best response, and keep agents moving without the usual context hunt.

AI Auto-Responses & Writing Helpers

Draft the next customer reply, improve tone and clarity, and help agents create better activity updates from the full thread history.

📝

AI Summaries & QA

Summarize new cases, customer activity, and full case histories. Review conversations for quality, empathy, accuracy, and consistency.

📚

AI Knowledge Creation

Turn solved cases into knowledge articles faster. Generate subject lines, summaries, keywords, and first drafts from real support interactions.

🚀

AI Automation & Predictive Signals

Auto-tag, auto-prioritize, detect FCR, surface sentiment, and predict CSAT or CES so teams can act before the survey arrives.

Foundation

AI works better when it lives inside the real support system

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.

Dynamic SLAsEscalation managementKCS knowledgeCustomer health scoringSurveys & CSATRole-based securitySalesforce syncAPI + MCP accessCustom data tablesCustomer notesPortal & widgetConfigurable dashboards
Proof

Built for B2B teams that need AI plus accountability

Supportbench combines AI assistance with account-aware support operations, so teams can move faster without losing control of workflows, quality, or customer context.

42%
Faster average resolution after rollout
30%
Fewer escalations on tier-2 cases
<2 wks
Migrating from Zendesk to live in production
Pricing

Built-in AI with transparent per-agent pricing

No “AI add-on” tier. AI is included in Supportbench — alongside account and contact panels, dynamic SLAs, escalations, surveys, reporting, dashboards, and onboarding.

Most popular
Professional
$32 / agent / mo, billed annually

Full AI suite, account context, SLAs, escalations, surveys, reporting, dashboards, onboarding and training included.

  • Customer + agent + operational AI
  • Dynamic SLAs and escalations
  • KCS knowledge base + AI bots
  • Surveys, CSAT, CES, NPS
  • Configurable dashboards
  • Onboarding & training included
See all-inclusive pricing
Enterprise
$100 / agent / mo, starting

For teams that need SSO/SAML, advanced workflow controls, custom migration, and regional data-location options.

  • Everything in Professional
  • SSO / SAML and audit logs
  • Custom migration & onboarding
  • Regional data location
  • Dedicated CSM
  • Procurement & security review
Contact sales
FAQ

Questions buyers ask about AI customer support

What does AI customer support mean in Supportbench?+
It means more than a support bot. Supportbench uses AI for customer self-service, agent assistance, summaries, writing help, routing, automation, quality review, and predictive support insights inside the broader support platform.
Can Supportbench AI raise a case if the bot cannot solve the issue?+
Yes. When the customer-facing AI cannot confidently answer, the unresolved question can turn into a new case so the conversation continues with full context intact — no dead ends.
What does the agent side of AI look like?+
Agents get suggested responses, case summaries, knowledge recommendations, customer activity summaries, and writing help based on the history of the case plus the knowledge base behind it.
How is this different from a generic chatbot?+
Generic chatbots answer prompts. Supportbench AI is designed to work with the account, ticket, knowledge, workflow, and SLA context behind the issue, which is far more valuable for B2B support teams.
Is this the right fit for every support team?+
No. Supportbench is best for B2B teams that need stronger workflows, account-level support, dynamic SLAs, and better reporting than lighter tools usually offer. If you only need a simple shared inbox for low-volume email support, a lighter tool may be enough.
How does onboarding work?+
Onboarding and training are included. Supportbench helps teams configure workflows, SLAs, queues, and reporting so you are not left rebuilding your support operation alone.

See how AI fits your support motion in 20 minutes

We’ll walk through how Supportbench handles customer self-service, agent copilots, summaries, routing, QA, and B2B workflow automation using the kind of support complexity your team actually deals with.