AI Support

Capacity

by Capacity

★4.4

148 reviews

AI-powered support automation platform that connects to your apps and learns from your content to answer questions

Visit Website

📌Key Takeaways

1Capacity is a ai support AI agent by Capacity, founded in 2017.
2AI-powered support automation platform that connects to your apps and learns from your content to answer questions
3Top strengths: enables support teams to dramatically reduce ticket volume while simultaneously improving resolution times and customer satisfaction scores.; enable continuous optimization, helping support leaders measure automation ROI and identify opportunities for improvement..
4Rated 4.4/5 based on 148 reviews.

Overview

Capacity is a comprehensive AI-powered customer support automation platform that fundamentally transforms how organizations handle customer inquiries, internal support requests, and knowledge management at scale. Built on advanced conversational AI and machine learning technologies, Capacity enables support teams to dramatically reduce ticket volume while simultaneously improving resolution times and customer satisfaction scores. The platform serves as an intelligent layer between customers and support teams, automatically handling routine inquiries through AI agents while seamlessly escalating complex issues to human specialists when necessary. At its core, Capacity combines three powerful capabilities: intelligent ticket automation that categorizes, routes, and resolves support requests without manual intervention; conversational AI agents that engage customers in natural dialogue across multiple channels; and deep knowledge base integration that ensures AI responses are grounded in accurate, up-to-date information from your existing documentation. This unified approach means organizations can deploy AI-powered support without abandoning their existing knowledge investments or support workflows. The platform excels in environments where support teams face high ticket volumes, repetitive inquiries, or the need for 24/7 availability without proportionally scaling headcount. By automating up to 70% of routine support interactions, Capacity frees human agents to focus on complex, high-value customer interactions that require empathy, creativity, and deep expertise. The human-in-the-loop architecture ensures that AI never operates without appropriate oversight—confidence thresholds, escalation rules, and quality monitoring maintain service quality while maximizing automation benefits. Capacity integrates seamlessly with existing support infrastructure including CRM systems, helpdesk platforms, knowledge bases, and communication channels. This means organizations can deploy AI support capabilities without disrupting established workflows or requiring extensive system migrations. The platform supports deployment across email, chat, messaging apps, and other customer touchpoints, providing consistent AI-powered support regardless of how customers choose to reach out. Real-time analytics and performance dashboards enable continuous optimization, helping support leaders measure automation ROI and identify opportunities for improvement.

🎯 Key Differentiator

AI-Extracted

AI-powered ticket automation with human-in-the-loop oversight that automatically resolves support tickets without manual intervention while maintaining quality control

Capacity's core differentiator is its ability to autonomously handle entire support workflows—from initial ticket receipt through resolution—while maintaining human control through intelligent routing, confidence-based escalation, and continuous quality monitoring. Unlike basic chatbots that simply deflect inquiries, Capacity's AI actually resolves issues by accessing knowledge bases, executing workflows, and providing substantive answers. The human-in-the-loop architecture ensures complex issues reach appropriate specialists while AI handles routine inquiries, enabling support teams to focus on high-value interactions while achieving up to 70% automation rates on routine tickets.

This differentiator was AI-extracted from competitive research.

Claim this page to verify and unlock →

Last verified: January 27, 2026

Key Features

AI knowledge base

Chatbot and live

Chatbot and live chat

App integrations

Workflow automation

Analytics

Pros & Cons

Pros

+enables support teams to dramatically reduce ticket volume while simultaneously improving resolution times and customer satisfaction scores.
+enable continuous optimization, helping support leaders measure automation ROI and identify opportunities for improvement.
+reduce ticket volume while simultaneously improving resolution times and customer satisfaction scores.

Cons

−Less sophisticated than enterprise tools
−Requires content investment
−Smaller company

Use Cases

Explore all AI Support use cases →

AI SDR: Automated Outbound Prospecting→

Sales teams spend hours manually researching prospects, finding contact information, and crafting personalized outreach messages. This manual process limits the volume of outreach and reduces time available for high-value activities like closing deals.

Lead Qualification and Scoring→

Sales reps waste time chasing unqualified leads, resulting in low conversion rates and inefficient resource allocation. Manual lead scoring is inconsistent and doesn't adapt to changing buyer signals.

Frequently Asked Questions

Capacity offers: AI knowledge base. Chatbot and live. App integrations. Workflow automation. Analytics. This functionality is designed to streamline workflows and improve efficiency. Features may include automation, analytics, reporting, and collaboration tools. Specific capabilities depend on the plan level and product version you choose. Advanced features may require add-ons or enterprise plans.

1. enables support teams to dramatically reduce ticket volume while simultaneously improving resolution times and customer satisfaction scores. 2. enable continuous optimization, helping support leaders measure automation ROI and identify opportunities for improvement. 3. reduce ticket volume while simultaneously improving resolution times and customer satisfaction scores.

1. Less sophisticated than enterprise tools 2. Requires content investment 3. Smaller company. This functionality is designed to streamline workflows and improve efficiency. Features may include automation, analytics, reporting, and collaboration tools. Specific capabilities depend on the plan level and product version you choose. Advanced features may require add-ons or enterprise plans.

Capacity was founded in 2017. The company has raised $44M+ total. This varies based on your specific requirements, industry, company size, and use case. For detailed information tailored to your situation, consult with the vendor or implementation partner who can provide guidance based on their experience with similar organizations. Most providers offer demos, trials, or consultations to help you evaluate fit before committing.

Capacity uses a enterprise pricing model. This varies based on your specific requirements, industry, company size, and use case. For detailed information tailored to your situation, consult with the vendor or implementation partner who can provide guidance based on their experience with similar organizations. Most providers offer demos, trials, or consultations to help you evaluate fit before committing.

Common use cases for Capacity include: AI knowledge base, Chatbot and live chat. This functionality is designed to streamline workflows and improve efficiency. Features may include automation, analytics, reporting, and collaboration tools. Specific capabilities depend on the plan level and product version you choose. Advanced features may require add-ons or enterprise plans.

AI-powered ticket automation with human-in-the-loop oversight that automatically resolves support tickets without manual intervention while maintaining quality control. Capacity's core differentiator is its ability to autonomously handle entire support workflows—from initial ticket receipt through resolution—while maintaining human control through intelligent routing, confidence-based escalation, and continuous quality monitoring. Unlike basic chatbots that simply deflect inquiries, Capacity's AI actually resolves issues by accessing knowledge bases, executing workflows, and providing substantive answers. The human-in-the-loop architecture ensures complex issues reach appropriate specialists while AI handles routine inquiries, enabling support teams to focus on high-value interactions while achieving up to 70% automation rates on routine tickets.