Companies that use Forethought

Source: Analysis of 100 job postings that mention Forethought

My analysis shows that Forethought buyers are highly dispersed across organizational functions. Only 14% of postings are for marketing roles, with the Director of Integrated Marketing position being the sole direct Forethought employer in this dataset. The remaining roles mentioning Forethought are scattered across IT support, business development, finance, and dozens of other functions, suggesting the platform is evaluated and purchased by customer support leaders, customer success executives, and operations teams rather than concentrated in a single department. These buyers prioritize scalability, efficiency, and customer satisfaction improvements.

The day-to-day users appear to be customer support agents, technical support engineers, and customer success teams who interact with Forethought's AI chatbot and automation tools. One posting mentions managing "AI chatbot instructional conversations" and optimizing "autoflows and prompts to improve resolution rates," while another describes using "Forethought to enhance support efficiency, automate ticket routing, and surface relevant solutions." These practitioners focus on maintaining conversational AI systems and monitoring performance metrics.

The core pain points center on contact volume reduction and support scalability. Companies seek to "drive contact volume reduction through AI-powered self-service" and create "AI-driven self-service experience that customers will love." One role emphasizes the need to "leverage AI tools such as Forethought to enhance support efficiency" while another mentions "swiftly manages escalated customer issues" as a key responsibility. These phrases reveal organizations struggling with high support ticket volumes and seeking automation to handle routine inquiries while freeing human agents for complex cases.

Source: Analysis of tech stacks from 255 companies that use Forethought

I noticed that Forethought users operate sophisticated, high-touch B2B sales organizations with a strong emphasis on customer experience and retention. The presence of tools like Qualified, Chili Piper, and Gainsight tells me these companies run enterprise sales motions where every prospect interaction matters and customer success is critical to their business model.

The pairing with Decagon AI is particularly telling. Both Forethought and Decagon focus on AI-powered customer interactions, suggesting these companies are investing heavily in automating support while maintaining quality. When I see this combined with Gainsight, it reveals a complete lifecycle strategy: they're using AI to handle routine customer inquiries efficiently while Gainsight helps ensure enterprise clients remain healthy and expand their contracts. The Qualified correlation makes perfect sense too, since companies that care about intelligent website visitor identification and routing are also going to care about intelligent support ticket routing and resolution.

Chili Piper's presence confirms these are sales-led organizations obsessed with conversion optimization. They're not just trying to book meetings efficiently, they're thinking about the entire prospect-to-customer journey. The security focus shown by Lacework FortiCNAPP suggests many of these companies serve enterprise buyers who demand robust security practices, which tracks with the overall profile of companies selling high-value contracts.

Source: Analysis of Linkedin bios of 255 companies that use Forethought

I analyzed these companies and found that Forethought's typical customer operates in a digitally complex environment where customer interactions are constant and mission-critical. These aren't traditional brick-and-mortar businesses. They're predominantly SaaS platforms, fintech companies, online marketplaces, and tech-enabled service providers. They build products like payment gateways (Razorpay, Sezzle), workflow automation tools (UiPath, ServiceTitan), digital platforms (Zillow, Nextdoor), and specialized vertical software. Many are two-sided marketplaces or businesses that need to support both end users and business clients simultaneously.

These companies span the growth spectrum, but most cluster in the scale-up phase. I see Series B through Series D funding rounds, employee counts between 200 and 2,000, and companies that have achieved product-market fit but are rapidly expanding. There are also mature enterprises like Netflix and publicly traded companies like Zillow, but even these emphasize innovation and transformation. The common thread is operational complexity at scale, not necessarily company age.