Floworks

Floworks is an AI calls tool. Floworks sells a team of four AI sales agents: Jesse for prospect research, Alisha for personalised email, Linda for LinkedIn outreach and Sam for inbound voice calls. Targets B2B revenue teams wanting automated outbound across multiple channels.

Floworks is a B2B sales platform built around four named AI agents rather than a single general purpose assistant. Jesse handles prospecting, searching the open web plus a database of more than 700M contacts and filtering for intent signals. Alisha runs email outreach, researching each prospect and writing personalised sequences that follow up based on how the recipient engages. Linda takes the same job to LinkedIn, handling connection requests and messages while the vendor claims it avoids account bans. Sam is the voice agent, answering inbound calls around the clock, qualifying the caller, booking a meeting and writing the outcome back to the CRM. The vendor reports an average open rate above 48% for Alisha campaigns. The agents run on ThorV2, a model Floworks developed in house and positions as 43% more accurate than other AI sales agents on the market, with hallucination control as the headline claim. Onboarding is deliberately light: the vendor says no training phase is required, and teams connect their data by uploading a few documents before campaigns start. The four agents can work as a chain, so Jesse builds and enriches a list, Alisha and Linda run the touches, and Sam handles the conversations that convert. This is aimed at revenue teams with real outbound volume: SDR leaders, ABM groups, founders who still sell themselves, and agencies running campaigns for clients. The vendor cites Fortune 500 customers and over 1000 global accounts, with published case studies from Ayna and Unscript showing meeting booking rates and open rate improvements. Compared with point tools that do one step of the funnel, Floworks sells breadth across research, email, LinkedIn and voice. The trade off is commitment: results depend on feeding it good data and giving the agents time to run, and the public site does not publish plan pricing. It also sits in a crowded category where buyers will want to test reply quality against alternatives before scaling spend.