Capacity — AI Support Automation & Virtual Agents
Capacity is an AI-powered support automation platform that deflects helpdesk tickets before they reach a human agent — using intelligent virtual agents, a connected knowledge base, and workflow automation that sits on top of Zendesk, Salesforce, Slack, Teams, and the tools your team already uses. Fibi sources and negotiates Capacity on your behalf, at no cost to you.
Portfolio
Capacity AI Platform Services
Intelligent virtual agents, AI-powered chatbots, knowledge base automation, workflow automation, ticket deflection, and deep integrations with Zendesk, Salesforce, Teams, and Slack — on one platform.
Intelligent Virtual Agent (IVA)
AI-powered virtual agent that understands natural language, draws answers from a connected knowledge base, and resolves employee and customer requests automatically — without scripted decision trees. Handles varied phrasing and intent, takes action across integrated systems, and escalates to a human agent with full context when needed. Works across web, chat, email, Slack, and Teams channels.
AI-Powered Chatbot
Conversational chatbot interface powered by large language model AI — not rule-based scripting. Capacity's chatbot understands intent, retrieves accurate answers from integrated knowledge sources, and completes support actions directly in the conversation. Deployable on your website, customer portal, or internal employee hub, with escalation to live agents when the AI reaches its confidence threshold.
Knowledge Base Automation
Automated knowledge management that connects to existing documentation — SharePoint, Confluence, internal wikis, ticketing history, PDFs — and indexes it into a unified AI-searchable knowledge base. Capacity continuously learns from unresolved questions to surface content gaps, so the knowledge base improves over time. Support teams spend time updating content rather than manually answering the same questions repeatedly.
Workflow Automation
Automated support workflows that trigger actions across integrated systems based on incoming requests — creating tickets, updating CRM records, routing requests to the right team, sending status notifications, and completing multi-step processes without human intervention. Workflow automation reduces the manual handoff overhead that slows down support operations and creates inconsistent outcomes.
Helpdesk Ticket Deflection
AI-driven ticket deflection that intercepts repetitive support requests before they reach a human agent — answering common IT questions, customer inquiries, policy lookups, and status requests automatically. Deflection rate analytics show exactly how much volume Capacity is handling versus escalating, giving support managers data to quantify ROI and identify remaining deflection opportunities.
Integration Hub — Zendesk, Salesforce, Teams, Slack
Capacity's integration layer connects to Zendesk, Salesforce, ServiceNow, Freshdesk, Jira, Slack, Microsoft Teams, SharePoint, Confluence, Google Workspace, and other business systems — pulling accurate answers from existing sources and triggering actions across tools the team already uses. No rip-and-replace of current systems required; Capacity adds the AI automation layer on top of the existing technology stack.
Ideal For
Who Capacity Serves Best
IT Helpdesk Teams Overwhelmed by Repetitive Tickets
IT departments where the same password reset, software access, and onboarding questions consume hours of analyst time daily. Capacity automates the repetitive majority so the IT team can focus on complex infrastructure and security work that actually requires human expertise.
Customer Support Operations Scaling Without Headcount
Customer support teams that need to handle growing inbound volume without proportional headcount increases. Capacity deflects common inquiries automatically — order status, product questions, account management — reducing cost per ticket and average handle time.
Mid-Market and Enterprise Organizations
Organizations with established Zendesk, Salesforce, or ServiceNow implementations looking to add an AI automation layer without replacing their existing ITSM or CRM investment. Capacity connects to what is already in place rather than requiring migration.
Knowledge-Heavy Support Environments
Organizations where support accuracy depends on navigating large volumes of internal documentation, policy, and product knowledge. Capacity's knowledge base automation indexes existing content and makes it AI-searchable — so agents and the AI both retrieve accurate answers from the same source.
Why Capacity
Key Strengths
What sets Capacity apart from rule-based chatbots and legacy helpdesk automation platforms.
Capacity is built on large language model AI rather than scripted decision trees. This means it handles the full range of real-world support requests — including varied phrasing, follow-up questions, and multi-step requests — rather than only the narrow scenarios that were explicitly programmed. Rule-based chatbots fail when users deviate from the expected script; Capacity's AI understands intent and retrieves accurate answers from connected knowledge sources regardless of how the question is phrased.
Capacity resolves support requests at the point of contact — before a ticket is created and before a human agent is involved. Deflecting repetitive tickets reduces queue volume, shortens average response times, and allows support staff to focus on complex, high-value issues that actually require human judgment. Deflection analytics provide a measurable ROI metric that support managers can report to leadership.
Capacity integrates with Zendesk, Salesforce, ServiceNow, Slack, Teams, SharePoint, Confluence, and other platforms the organization already uses. Existing ticketing systems, knowledge bases, CRM records, and communication channels all feed into Capacity's AI layer. Organizations do not need to migrate data, replace systems, or retrain staff on new tools — Capacity layers on top of what is already in place.
Capacity runs internal IT helpdesk automation and external customer support automation on the same platform simultaneously — with separate knowledge bases, escalation paths, and analytics. Organizations that need both use cases can consolidate on a single AI platform rather than deploying and managing separate point solutions for internal and external support.
Every unresolved question or escalated ticket informs a content gap in the knowledge base. Capacity surfaces these gaps to support teams, enabling continuous improvement of the AI's accuracy over time. As the knowledge base grows and is refined, deflection rates increase — meaning Capacity becomes more effective the longer it runs in an environment.
Why Use Fibi
Capacity Direct vs. Through Fibi
Your contract is with Capacity either way. The difference is the advisory, comparison, and support layer around it.
| Aspect | Capacity Direct | Capacity Through Fibi |
|---|---|---|
| Pricing | Standard rack rate | Volume-negotiated — equal or better |
| Provider comparison | Capacity only | Capacity vs other AI support automation providers side by side |
| Quote turnaround | 5–10 business days | 24–48 hours across all evaluated providers |
| Scope guidance | Capacity account team | Independent review of IVA vs. chatbot vs. full automation fit |
| Contract support | Capacity account team | Independent advisor representing you |
| Post-go-live support | Capacity managed platform | Fibi escalation + Capacity managed platform |
| Advisory fee | N/A | $0 — carrier-funded |
FAQ
Common Questions About Capacity
Get a Free Capacity Quote Through Fibi
Fibi will evaluate Capacity against competing AI support automation and virtual agent platforms for your environment — use case fit, integration requirements, and pricing from every relevant option. Side-by-side comparison, no obligation, no sales pressure.
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