Capacity

Paid

Capacity is a CX automation platform for contact centers. It runs AI agents on voice, chat, SMS, and email, plus real-time help for human agents and automatic quality scoring after calls.

You connect it to where your knowledge already lives—Salesforce, ServiceNow, SharePoint, Slack—and it serves the same answers across every channel. No migration needed.

It is customer support software built for mid-market to enterprise teams with volume to justify the investment. Small teams with simple needs will feel the weight of it.

Open it if you run a contact center with 50+ agents and need one system for AI, live assist, and QA. Skip it if you want a quick chatbot you can set up in an afternoon.

These are the situations where the platform earns its keep.

• Enterprise contact centers with high ticket volumes: You replace 4–5 disconnected tools with one stack. The admin overhead drops and the channels stop contradicting each other.
• Teams running AI plus human agents: You get real-time agent assist, not just deflection. New agents ramp faster and veterans get next-best-action prompts.
• Organizations needing 100% interaction coverage: Auto QA scores every conversation, not the typical 1–2% manual sample. Compliance audits get easier.
• Teams with scattered knowledge sources: You index content in place—no migration to yet another silo. SharePoint, ServiceNow, and Salesforce all feed the same answers.
• Healthcare organizations with HIPAA requirements: Enterprise tier includes compliance certification and audit trails for regulated sectors.
• Companies on Salesforce, ServiceNow, or Slack: You automate without rebuilding workflows. Deep integrations mean agents can take action, not just answer.
• Mid-market teams drowning in repetitive queries: Routine requests get handled automatically. Your people focus on the exceptions.
• Large contact centers (50–500+ agents): You unify voice, SMS, agent assist, and QA in one vendor relationship instead of patching together point solutions.

These are the parts you notice after the setup dust settles.

• One knowledge base across all channels: Voice, chat, email, and SMS pull from the same source. You stop maintaining four versions of the same answer.
• Real agent assist with measured lifts: Transcription, intent detection, and suggested responses cut handle time. Average 14%, new agents up to 34%.
• Auto QA on 100% of interactions: Every conversation gets scored automatically. You catch issues before they become patterns.
• Fast deployment for prepared teams: Some customers launch in 24 hours if the knowledge base exists. Voice takes 6–8 weeks, but chat moves fast.
• AI agents that take action: Not just answers—tickets, CRM updates, workflows. The bot actually does the thing, not just tells you how.

The path is partner-led, not self-serve.

1. Connect your existing knowledge sources—SharePoint, ServiceNow, Salesforce, or uploaded documents.
2. Work with their implementation team to configure channels and workflows under a service order.
3. Train the knowledge base with your specific language and edge cases.
4. Launch chat first for faster feedback, then add voice once the foundation is solid.

The fit is wrong for more teams than the marketing suggests.

• Priced out of reach for small teams: No free plan, 10-user minimum, annual billing required. Growth plan starts around $490/month.
• No public pricing: Every cost requires a sales call. You cannot model your spend without negotiation.
• Setup demands real time: Initial configuration and knowledge base training take weeks, not days. Set-and-forget deployments underperform.
• AI stumbles on complex questions: Multi-layered, unusual, or deeply technical queries still need a human handoff.
• Reporting and customization feel rigid: Some users hit walls when trying to bend workflows or dashboards to their specific needs.