Capacity vs Twig: Internal Helpdesk AI vs Customer-Facing Support AI

Twig is an autonomous AI support platform that triages, self-evaluates, and resolves customer support tickets by integrating with tools like Zendesk, Salesforce, and Intercom. Capacity is a different category entirely: an AI-powered internal helpdesk for IT, HR, and operations teams. Both platforms use AI agents and knowledge-base automation, but they serve different end users — your employees for Capacity, your customers for Twig.

TL;DR: Capacity is an AI-powered internal helpdesk for IT and HR teams — employee-facing knowledge automation. Twig is autonomous AI for customer-facing support — resolving tickets inside Zendesk, Salesforce, Intercom, and 27 other helpdesks. These are different products solving different problems. Don't pick Capacity for customer support or Twig for internal IT.

Key takeaways:

• Capacity is AI for internal IT / HR helpdesks (employee-facing)
• Twig is AI for customer support helpdesks (customer-facing)
• Using one for the other use case typically produces poor results
• Some enterprises deploy both — Capacity internal, Twig external
• Start by asking "who is the end user — my employees or my customers?"

The product category divide

"AI customer support" is an imprecise phrase. It covers at least two distinct product categories:

• Employee-facing AI support — IT helpdesk, HR self-service, internal knowledge management. The users are your employees. Integrations optimize for ServiceNow, Microsoft Teams, Slack, internal KB systems. Vendors: Capacity, Moveworks, Aisera, Glean.
• Customer-facing AI support — resolving inbound support tickets from external customers inside a customer-facing helpdesk. The users are your paying customers. Integrations optimize for Zendesk, Salesforce Service Cloud, Intercom, Freshdesk. Vendors: Twig, Sierra AI, Decagon, Maven AGI, Intercom Fin, Zendesk AI.

These are genuinely different products with different data surfaces, different compliance profiles, and different success metrics. Mixing them up is one of the most common evaluation mistakes in this category.

Head-to-Head Comparison Table

Dimension	Capacity	Twig
End User	Employees (internal)	Customers (external)
Primary Use Case	IT helpdesk, HR self-service, knowledge management	Customer support ticket resolution
Pricing	Not publicly disclosed (secondary: 10-seat min, ~$490/mo)	$5/ticket, 100-answer free tier
Published Rate Card	No	Yes
Integrations	250+ (enterprise general: ServiceNow, Teams, Slack, KB systems)	30+ (support stack: Zendesk, Salesforce, Intercom, Freshdesk, HubSpot)
Accuracy Methodology	Not publicly disclosed	7-dimension quality scoring (published)
Deflection Rate Claim	84% (internal queries)	— (support-specific)
Customer-Facing Workflow	Secondary	Primary
Internal IT / HR Workflow	Primary	Not the product's focus
SOC 2 Type II	Yes	Yes
G2 Rating	4.8 / 57 reviews	See twig.so

Based on publicly available information as of 2026-04-20. Sources: Capacity, secondary: Software Advice Capacity profile.

Capacity: internal IT / HR helpdesk AI

Capacity (formerly Jane.ai) is built for the "my employees ask the same IT and HR questions 100 times a day" problem. Knowledge lives in Confluence, SharePoint, internal wikis, Slack channels, ServiceNow tickets. Employees ask questions in Teams, Slack, or a portal. Capacity's AI retrieves answers, automates workflows (password resets, access requests, PTO), and deflects low-value tickets from IT/HR queues.

Integrations: 250+ prebuilt, oriented to the internal enterprise stack: ServiceNow, Microsoft 365, Slack, Teams, Google Workspace, Okta, Workday, SAP SuccessFactors, and dozens more.

Pricing: not publicly disclosed. Secondary sources cite minimum ~10-seat commitments at annual contracts; entry configurations start around $490/month.

Methodology: not publicly disclosed at the depth customer-facing compliance typically requires.

Use case fit: Internal IT, HR, operations helpdesks. For customer-facing support, Capacity has been retrofit by some teams — the feature set technically supports it — but the product surface and integrations aren't oriented to it.

Twig: customer-facing support ticket resolution

Twig is built for the "my customers file support tickets in Zendesk and we want the AI to resolve Tier 1 end-to-end" problem. Knowledge lives in help-center articles, product docs (Notion, Confluence), ticket history, and CRM data (Salesforce, HubSpot). Customers submit tickets via email, chat, or embedded forms. Twig's AI triages, self-evaluates, and resolves — escalating low-confidence responses to human agents with full context.

Integrations: 30+ focused on customer-facing support stack — Zendesk, Salesforce, Intercom, Freshdesk, HubSpot, Slack (for ops alerts), Notion, Confluence, Jira, GitHub, Gmail, Google Drive, PostgreSQL, MongoDB, REST API.

Pricing: Published $5/ticket with a 100-answer free tier.

Methodology: Published 7-dimension quality scoring with self-evaluation on every response before it reaches a customer.

Use case fit: Customer-facing B2B SaaS, fintech, ecommerce, insurance, lending support. For internal IT/HR, Twig has no native workflow.

When to choose each

Capacity — You're solving for internal IT / HR / operations helpdesk deflection. Your users are employees. Your knowledge lives in ServiceNow, Teams, Slack, SharePoint, Confluence. Your success metric is "IT tickets deflected" or "employee satisfaction with self-service."

Twig — You're solving for customer-facing support resolution. Your users are paying customers. Your knowledge lives in help-center articles, ticket history, product docs. Your success metric is "CSAT," "resolution rate," or "cost per resolved ticket."

The "use both" case

Some enterprises legitimately need both products. The internal IT team deploys Capacity for employee helpdesk; the external support team deploys Twig for customer helpdesk. These are not substitutes — they're complementary deployments for different internal teams.

Why the mistake matters

Teams that pick the wrong category typically discover the mismatch during pilot:

• Deploying Capacity for customer support → poor integration with Zendesk/Salesforce/Intercom customer-facing helpdesks; methodology depth is not oriented to customer-facing accuracy and escalation standards; the UI and workflows feel "off" because they were designed for employees, not customers.
• Deploying Twig for internal IT → missing ServiceNow/Teams deep integration; no native IT-specific workflows (password reset automation, access request approvals); the product is overbuilt for the narrower internal use case.

Pilots that fail category-match produce the conclusion "AI customer support doesn't work for us." The AI is working fine — it's just pointed at the wrong problem.

Related reading

• Customer Service AI Market Map 2026 — why use-case fit is the #1 filter
• Twig AI Support Index 2026
• Twig for SaaS customer support

Sources

• Capacity: capacity.com
• Capacity pricing (secondary): softwareadvice.com/artificial-intelligence/capacity-profile
• Capacity G2: 4.8 / 57 reviews — g2.com/products/capacity
• CB Insights, "No one owns customer service AI," January 2026 (Capacity $60M / 5.6% market share)
• Twig pricing and product: twig.so/pricing, twig.so/product

Last verified: 2026-04-20.