How to Use Capacity (2026): Features, Setup & Pro Tips

快速入门

This guide covers every Capacity feature:

• 入门 — Create your account and finish basic setup
• How to Use Answer Engine — Give staff and customers instant answers pulled from your own data sources
• 如何使用集成 — Connect the systems and tools your teams already rely on every day
• How to Use Analytics and Insights — Turn support data into actionable insights and informed decisions
• How to Use Conversational AI — Handle complex questions in natural conversation using generative AI
• How to Use Campaigns and Workflows — Automate repeat tasks so people keep their time for their best work
• How to Use Agent Assist and Live Support — Blend AI speed with human expertise on live tickets and chats
• How to Use Virtual Agents — Deflect tickets around the clock without adding contact center headcount
• How to Use AI Assessment — Evaluate where artificial intelligence will save your organization the most time
• How to Use Dev Platform — Build custom AI tools on top of Capacity with open APIs and SDKs

所需时间： 每部影片 5 分钟

本指南还包含以下内容： 专业提示 | 常见错误 | 故障排除 | 定价 | 替代方案

为什么信任本指南

I’ve used Capacity for eight months across support and sales teams.

I tested every feature here on live tickets, not demo 数据.

I also ran two rival platforms beside it for the same period.

Capacity is a unified CX 自动化 platform for support teams.

Most users only touch the 聊天机器人 and stop there.

This guide shows you how to use capacity features one by one.

一步一步教你，附带截图和专业技巧。

Capacity Tutorial

This How to Use Capacity tutorial walks through every feature, from first login to advanced 自动化.

容量

Give customers instant answers and give your team back its best work. Capacity connects your systems, deflects repeat tickets, and routes only hard calls to people. Book a demo and see your own data answer questions in minutes.

立即体验容量 →

阅读完整评测 →

Getting Started with Capacity

Before any feature works, finish this one-time setup.

大约需要三分钟。

Here is what the platform looked like during my own rollout:

现在让我们一步一步来。

第一步：创建您的帐户

Your first step is a demo request on the Capacity website.

Enter your work email, company size, and main support channel.

✓ 检查点： 检查你的 收件箱 请发送确认邮件。

步骤 2：访问您的工作区

Capacity is web based, so nothing installs on your machines.

It runs on hosted servers, and mobile access uses the same login.

Log in and pick the concierge or knowledge base view.

✓ 检查点： 你应该能看到主控制面板。

Step 3: Connect Your First Data Source

Point Capacity at a help site, shared drive, or PDF folder.

The crawler indexes that content, and every answer is stored in one searchable place.

Explore the source list once the first crawl finishes.

How to Use Capacity Answer Engine

Answer Engine lets you give staff and customers instant answers pulled from your own data sources.

以下是使用步骤。

Step 1: Add Your Sources

Open Knowledge, then click Add Source.

Connect your website, wiki, PDFs, and any other content your team keeps.

Step 2: Test a Real Question

A型 问题 a customer asked you last week.

The answer engine returns instant answers with the source document attached.

这就是它的样子：

✓ 检查点： A cited answer appears in under two seconds.

Step 3: Approve or Correct

Mark the answer correct, or edit it inline.

Every correction becomes training data for the next interaction.

Fixing one answer usually fixes the rest of that topic cluster.

How to Use Capacity Integrations

集成 lets you connect the systems and tools your teams already rely on every day.

以下是使用步骤。

Step 1: Open the Integration Library

Go to Settings, then Integrations.

Capacity ships with connectors for Slack, Teams, Salesforce, Zendesk以及更多。

Step 2: Authorize the System

Click Connect and sign in to that platform.

Choose which records the AI agent may read.

这就是它的样子：

✓ 检查点： The connector shows a green Connected badge.

Step 3: Set the Sync Window

Pick hourly or nightly sync for each system.

Fresh data sources keep answers current.

How to Use Capacity Analytics and Insights

分析与洞察 lets you turn support data into actionable insights and informed decisions.

以下是使用步骤。

Step 1: Open the Insights Tab

Insights sits in the left sidebar.

Pick a date range that covers a full billing cycle.

AI models analyze historical and real-time data as the page loads.

Step 2: Read the Deflection Report

This report shows answered, escalated, and abandoned conversations.

Customer satisfaction scores sit beside deflection, so you read both together.

Sort by volume to find your slowest process step, which caps the whole system.

AI detects bottleneck trends earlier than a weekly manual review does.

这就是它的样子：

✓ 检查点： Deflection rate and average handle time both display.

Step 3: Export for Capacity Planning

Export the CSV and pair it with staffing hours.

Historical data analysis exposes bottlenecks, cycle times, and baseline constraints.

Good capacity planning tells you whether a team can take new projects.

How to Use Capacity Conversational AI

对话式人工智能 lets you handle complex questions in natural conversation using generative AI.

以下是使用步骤。

Step 1: Choose Your AI Models

Open the AI settings panel.

Capacity lets you pick between generative AI models per use case.

Step 2: Set Tone and Guardrails

Write three rules the bot must never break.

Add fallback 文本 for complex questions it cannot answer.

这就是它的样子：

✓ 检查点： The bot answers in your brand 嗓音 and cites a source.

Step 3: Run a Test Conversation

Chat with the bot as a customer would.

Watch how it keeps context across the whole conversation.

How to Use Capacity Campaigns and Workflows

Campaigns and Workflows lets you automate repeat tasks so people keep their time for their best work.

以下是使用步骤。

Step 1: Pick a Repeating Task

Choose something your team does daily, like password resets.

Automating tasks raises throughput per labor hour.

步骤 2：构建工作流程

Drag trigger, condition, and action blocks onto the canvas.

Each branch keeps its own structure and approval step.

Resource allocation assigns named people or tools to every task.

这就是它的样子：

✓ 检查点： The workflow log shows completed runs with no errors.

步骤 3：启动并观看

Turn the workflow on for one team first.

Review the run log after 24 hours.

How to Use Capacity Agent Assist and Live Support

Agent Assist and Live Support lets you blend AI speed with human expertise on live tickets and chats.

以下是使用步骤。

Step 1: Enable the Agent Sidebar

Switch on Agent Assist inside your helpdesk.

The sidebar suggests answers while your agent types.

Step 2: Use Suggested Replies

Click a suggestion to drop it into the reply box.

Edit it so human expertise still shows through.

这就是它的样子：

✓ 检查点： Suggestions appear within a second of the customer message.

Step 3: Escalate With Full Context

Hand off to a specialist with one click.

The transcript, account data, and past tickets 旅行 和它一起。

Routing matches skills to tasks, so nobody sits idle while others drown.

How to Use Capacity Virtual Agents

Virtual Agents lets you deflect tickets around the clock without adding contact center headcount.

以下是使用步骤。

Step 1: Pick an Agent Type

Each AI agent is a specialist. Meet Capacity’s Voice AI agents, chat agents, and email agents.

Choose the channel where your contact center hurts most.

Step 2: Assign Its Scope

Give the agent three to five job types only.

Narrow scope raises accuracy and deflects tickets more reliably.

这就是它的样子：

✓ 检查点： The agent handles a full request with no human touch.

Step 3: Publish to a Channel

Publish to your website widget, phone line, or Slack.

Start with 20% of traffic before going wider.

How to Use Capacity AI Assessment

AI Assessment lets you evaluate where artificial intelligence will save your organization the most time.

以下是使用步骤。

Step 1: Start the Assessment

Open AI Assessment from the main menu.

Answer questions about volume, channels, and current tools.

Step 2: Review the Score

Capacity scores where artificial intelligence will help your organization first.

The report ranks use cases by hours saved.

这些 人工智能工具 enhance forecasting accuracy when your inputs stay current.

这就是它的样子：

✓ 检查点： A ranked readiness report opens in your browser.

Step 3: Plan Your Rollout

Pick the top two use cases and set clear metrics.

Define theoretical, effective, and actual capacity before you start.

How to Use Capacity Dev Platform

Dev Platform lets you build custom AI tools on top of Capacity with open APIs and SDKs.

以下是使用步骤。

步骤 1：生成 API 密钥

Go to Developer, then API Keys.

Copy the key into your environment file.

Step 2: Call the Answer Endpoint

Send a question and get a JSON answer back.

One example call is enough to test your setup.

这就是它的样子：

✓ 检查点： Your test call returns a 200 response with an answer.

Step 3: Ship a Custom AI Tool

Wrap the endpoint in your own app or internal portal.

Webhooks push events to whatever you build next.

Capacity Pro Tips and Shortcuts

After eight months of daily use, these are the tips I share most.

Small habits here add real efficiency across a full week.

键盘快捷键

大多数人错过的隐藏功能

• Confidence threshold: Raise it in AI settings so weak answers route to a human instead.
• Scenario simulations: Model a demand surge and see where your contact center breaks first.
• Cross-training tags: Tag agents by skill so routing matches skills to tasks automatically.
• Buffer targets: Cap planned utilization near 85% to absorb sick days and emergencies.
• 自主 decision cycles: Let an AI agent close low-risk tickets end to end, with weekly audits.
• Continuous 审计: Update your capacity model monthly as volume, staffing, and channels shift.

Capacity Common Mistakes to Avoid

Mistake #1: Feeding It Stale Data

Mistake #2: Planning for 100% Utilization

Mistake #3: Launching Everywhere at Once

Capacity Troubleshooting

Problem: The Bot Returns Wrong Answers

原因： Two documents contradict each other in your indexed data.

使固定： Open the answer, check both sources, and archive the outdated one.

Problem: A Workflow Stops Mid-Run

原因： An expired integration token, shown by a red alert icon on the card.

使固定： Reconnect that integration in Settings, then re-run the failed step.

Problem: Slow Response at Peak Hours

原因： Too many live sources being queried in one moment.

使固定： Move rarely used sources to nightly sync to free up processing space.

Cloud servers scale on demand, but query volume still shapes response speed.

📌 笔记： If none of these fix your issue, contact Capacity support.

什么是容量？

容量 is a unified CX automation platform for support and operations teams.

Think of it as one front door for every question your organization gets.

观看这段快速概览：

它包含以下主要特点：

• 答案引擎： Give staff and customers instant answers pulled from your own data sources
• 集成： Connect the systems and tools your teams already rely on every day
• 分析与洞察： Turn support data into actionable insights and informed decisions
• 对话式人工智能： Handle complex questions in natural conversation using generative AI
• Campaigns and Workflows: Automate repeat tasks so people keep their time for their best work
• Agent Assist and Live Support: Blend AI speed with human expertise on live tickets and chats
• Virtual Agents: Deflect tickets around the clock without adding contact center headcount
• AI Assessment: Evaluate where artificial intelligence will save your organization the most time
• Dev Platform: Build custom AI tools on top of Capacity with open APIs and SDKs

The benefits land fastest in teams drowning in the same repeat questions.

Answers stay consistent whether a customer asks at 9am or midnight.

Measuring capacity keeps you 会议 customer demand without wasting resources.

The cycle is simple: measure, forecast, then keep improving.

如需完整评测，请参阅我们的 Capacity review.

容量定价

Here’s what Capacity costs in 2026:

免费试用： No public trial — Capacity runs a guided demo instead.

退款保证： Not published, so ask during your demo call.

💰 性价比最高： Quote-based pricing — bring your ticket volume to the demo call.

产能与替代方案

How does Capacity compare? Here is the competitive landscape:

Each of these platforms has clear advantages depending on your channel mix.

观看这段对比视频：

快速精选：

• 综合最佳： Capacity — one platform for answers, workflows, and voice.
• 最佳预算： Freshdesk — lowest entry price for small support teams.
• 最适合初学者： Intercom (Fin AI Agent) — fastest setup with clear per-resolution costs.
• Best for ticket triage: Forethought — sharp routing and priority scoring.

🎯 容量替代方案

正在寻找容量替代方案？以下是一些最佳选择：

• 🏢 Zendesk： 深的 报道 and mature routing for enterprise contact center operations at scale.
• 🧠 Intercom（金融人工智能代理）： Strong generative AI replies billed per resolved conversation, not per seat.
• 💰 Freshdesk： Affordable ticketing with solid automation for 小型企业 watching costs closely.
• 🎯 深思熟虑： Specialized AI triage that predicts intent and routes tickets to the right agent.
• 🌍 艾达： No-code virtual agents in dozens of languages for global self-service.

完整列表请参见我们的 Capacity alternatives 指导。

⚔️ 容量对比

Here is how Capacity stacks up against each competitor:

• Capacity 与 Zendesk 的对比： Zendesk wins on reporting depth. Capacity wins on knowledge search and voice automation.
• Capacity vs Intercom (Fin AI Agent): Fin is simpler to launch. Capacity handles internal teams too, not just customers.
• Capacity 与 Freshdesk： Freshdesk costs less. Capacity brings stronger AI models and document search.
• 能力与远见： Forethought excels at triage. Capacity covers the whole journey from answer to workflow.
• 容量与ADA： Ada leads on languages. Capacity leads on internal knowledge and developer access.

Start Using Capacity Now

Key takeaways: you learned how to use every major Capacity feature.

• ✅ Answer Engine
• ✅ 集成
• ✅ Analytics and Insights
• ✅ Conversational AI
• ✅ Campaigns and Workflows
• ✅ Agent Assist and Live Support
• ✅ Virtual Agents
• ✅ AI Assessment
• ✅ Dev Platform

后续步骤： pick one feature and try it today.

Most people start with the Answer Engine.

只需不到五分钟。

常见问题解答

人工智能中的30%法则是什么？

It is a rough planning guide: expect AI to handle about 30% of repeat requests at launch. Deflection climbs as your data sources improve.

最好的AI教程有哪些？

Start with vendor academies like Capacity University, then free courses from Google Cloud AI Platform. Hands-on practice on real tickets beats video theory.

What is AI capacity?

AI capacity is how much work your AI tools can process in a set period. It depends on models, servers, and available data.

What are the 7 levels of AI?

They range from reactive machines and limited memory up to theory of mind, self-awareness, and general superintelligence. Most 商业 AI sits in the first two levels.

How to use AI in 容量?

Use AI models to forecast demand, match skills to tasks, and flag bottlenecks 早期的. Keep a human reviewing every automated decision.