Flutch operates as an observability and analytics layer that sits on top of AI agents handling customer conversations. This system ingests conversation data from chatbots and agents, then processes it through analytics pipelines that connect dialogue outcomes to business metrics. When an agent qualifies a lead or books a meeting, Flutch tracks the path from initial message to conversion, calculating real-time conversion rates and cost per goal achieved.
The data flow works through conversation auditing that runs continuously in the background. Each interaction gets scanned for quality issues and policy violations while the system looks for patterns that might indicate fraud or off-script behavior. This isn't post-hoc analysis. The monitoring happens as conversations unfold, flagging problems before they compound.
A/B testing infrastructure lets teams run experiments across different agent versions. You can test variations in prompts, tools, or entire conversation flows, then measure which configuration drives better business outcomes. The system tracks spending at granular levels, allowing caps at both agent and individual user tiers to prevent runaway costs.
This service includes visual workflow builders for constructing conversation logic without writing code. Built-in tools handle common tasks like scheduling and data retrieval. Agents can run on Flutch's infrastructure or deploy to your own servers depending on data residency requirements.
Integration architecture connects to CRMs, calendars, e-commerce platforms, and messaging channels. Salesforce and HubSpot integrations push lead data and conversation outcomes into existing sales pipelines. Calendar connections with Google, Outlook, and Calendly enable meeting booking automation. E-commerce integrations with Shopify and WooCommerce let agents handle product searches and order tracking. Messaging channels include WhatsApp, Telegram, Instagram, Messenger, plus standard email and web chat.
Flutch's distinctive approach centers on revenue attribution. Rather than just tracking message counts or response times, it ties agent performance directly to bookings, qualified leads, and closed deals. This shifts the analytics focus from conversation metrics to business impact.
A free plan exists with no credit card requirement and no time limit. This gives access to the core features without upfront commitment.
The technical limitation here is dependency on downstream system reliability. When Flutch connects agent conversations to CRMs or calendars, any latency or downtime in those integrations can block the agent from completing its task. This service's value proposition relies on these connections working consistently. Another consideration is that meaningful revenue attribution requires sufficient conversation volume. With low traffic, statistical significance for A/B tests takes longer to establish.
