SleekFlow - 2026 Pricing, Features, Reviews & Alternatives

SleekFlow is a cloud-based agentic AI platform that consolidates customer communication across WhatsApp, Instagram, Facebook Messenger, TikTok, SMS, email, and live chat into a single shared inbox. AI agents (AgentFlow) operate across the full customer lifecycle — qualifying leads, recommending products, building shopping carts, sending payment links, scheduling appointments, resolving support issues, and routing high-priority cases to human teams — without manual intervention. A no-code Flow Builder automates routing, triggered messages, and multi-step workflows. Built-in CRM tracks contact lifecycle stage, purchase history, and conversation ownership, giving agents full customer context at the start of every interaction. Broadcast messaging supports targeted bulk campaigns with ROI tracking, and an AI Growth Widget captures and engages website visitors, continuing conversations on the customer's preferred channel. Available via web application and iOS/Android mobile apps, with API access on paid plans.

SleekFlow serves over 5,000 clients globally — including enterprises, listed companies, education institutions, and government bodies — across e-commerce and retail, financial services, education, real estate, healthcare, and public sector verticals. Native integrations with Shopify, Salesforce, HubSpot, Zoho, Stripe, and VTEX connect commerce and CRM data directly to the inbox, enabling in-chat product browsing, cart building, and payment collection without website changes. A ticketing system handles automatic ticket creation, rule-based assignment, and SLA management. Analytics dashboards cover conversation volume, sales performance, and team metrics. Call logging, transcription, and AI summarization are included. Pricing is based on monthly active contacts (MACs), tying costs to verified two-way engagement rather than total list size.

The platform meets enterprise-grade security standards: ISO 27001 certified, SOC 2 Type II verified, and GDPR compliant. Customer data is logically isolated, encrypted in transit and at rest, and is never used to train or fine-tune AI models. Role-based access controls, handover notes, and @mentions support structured team collaboration across large or distributed customer-facing teams.