Support Flow
AI assistant that proactively surfaces the best technical content, data, and actions.
Quick facts
- Best for
- AI assistant that proactively surfaces the best technical content, data, and actions.
- Pricing
- Freemium
- Editor rating
- 4.5 / 5
- Community saves
- 0
About Support Flow
Solving a technical support ticket shouldn’t mean five tabs open, three Slack pings, and dragging engineers into issues they shouldn’t touch. That’s the escalation tax — wasted time, rising costs, and frustrated customers. PixieBrix Support Flow is the first AI-powered copilot built for technical support teams. It integrates directly into the tools you already use — CRMs, issue trackers, observability platforms, even production environments — without IT bottlenecks, stale data indexing, or one-size-fits-all bots. Instead of deflecting customers, PixieBrix empowers agents to resolve complex cases 40% faster, cut escalations, and boost CSAT by 20%. With enterprise-grade security (SOC 2, AES-256, SAML/SSO) and low-code customization, Support Flow scales across teams handling bugs, product variants, and integrations that demand deep, multi-system expertise. Supported featuresMCP (Model Context Protocol)Run locallyOpen source
Pros
- Hyper-customizable workflows with low-code extensions
- Works across all existing tools instead of replacing them
- Real-time data access (no stale indexing or snapshots)Reduces MTTR (mean time to resolution) by up to 40%Prevents unnecessary escalations, saving engineering time
- Increases CSAT by up to 20%Supports contextual, in-flow answers and direct actions
- Transparent KPI reporting and engagement analytics
- Empowers agents with ownership and autonomy
- Secure by design (SOC 2, AES-256 encryption, SAML/SSO)Built for enterprise scale with continuous compliance monitoring
- Custom displays, connectors, and sidebars for unique needs
- Avoids context switching across systems
- Flexible deployment with white-glove setup available
- Dual-licensed source-available code for transparency
Cons
- May require upfront customization for maximum value
- Can be complex for small, non-technical teams
- Full power best realized in enterprise-scale support setups
- Integration breadth may be overwhelming for smaller orgs