“We wanted to build a central AI platform for 6sense and get it to market faster. Adopt helped us take on the execution-heavy work required to make that possible.”
Executive Summary
6sense used Adopt AI to accelerate execution of core AI work required to support conversational and agentic capabilities across its revenue intelligence platform. What began as an effort to remove execution bottlenecks evolved into a delivered solution that enabled faster progress without diverting internal teams from core platform development.
By offloading execution heavy work such as API crawling and system to model connectivity, 6sense reduced development timelines, preserved engineering focus, and advanced enterprise grade AI capabilities more quickly, creating a strong base for continued expansion of agentic experiences across the platform.
Key Outcomes
As conversational and agentic AI becomes core to enterprise software, 6sense focused on accelerating internal execution without slowing delivery of its revenue intelligence platform.
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Reduced the time required to enable agentic capabilities by completing execution heavy work such as crawling internal APIs and preparing systems for model connectivity, allowing AI features to move forward faster.
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Enabled conversational and agent driven functionality to operate across a complex, API driven platform by removing manual preparation work that would otherwise delay delivery.
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Advanced AI initiatives without diverting internal engineering teams from core platform development by offloading execution heavy tasks and integrating cleanly with existing AI infrastructure.
About 6sense
6sense is a revenue intelligence platform that helps go to market teams identify in market accounts, engage buyers across channels, and connect activity directly to pipeline and revenue outcomes. The platform combines data, AI, and automation to support more informed decision making across sales and marketing organizations.
AI has long been core to the 6sense platform, enabling teams to prioritize accounts, understand buyer intent, and act with greater precision across complex buying journeys.
AI and Customer Expectations
AI reshaped how enterprise teams expect to interact with software. Buyers and go to market teams increasingly expect conversational and agent driven access to insights and actions, rather than navigating complex, data heavy platforms. At the same time, 6sense needed to advance these capabilities without slowing delivery of its core revenue intelligence platform.
As expectations increased, several challenges emerged:
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Execution Complexity Across APIs
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Limited Capacity for Execution Heavy Work
Accelerating AI Execution
Enabling agentic and conversational capabilities did not require 6sense to rework its core platform or slow product delivery. Instead of rebuilding internal systems, 6sense used Adopt to accelerate execution heavy work such as crawling and organizing internal APIs and connecting systems to language models, allowing AI initiatives to move forward while preserving control over existing infrastructure.
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Browser Based API Crawling
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Human in the Loop Collaboration
System to Model Connectivity at Scale
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How We Solved It
6sense used Adopt AI to accelerate execution of core AI initiatives without diverting engineering focus away from its revenue intelligence platform. Rather than rebuilding internal systems or introducing a standalone AI interface, Adopt was used to prepare internal APIs and systems so they could interact effectively with language models and support agentic workflows.
Early technical collaboration confirmed that the approach would integrate cleanly with 6sense’s existing AI stack. Adopt worked with existing APIs and tooling, enabling execution heavy work to be completed quickly while preserving architectural control and minimizing risk.
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Works with existing systems:
Integrated directly with 6sense’s internal APIs and AI infrastructure, avoiding rebuilds or changes to core platform workflows.
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Action oriented AI enablement:
Prepared systems to support agentic workflows that can reason, retrieve information, and take action across the platform.
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Secure and enterprise ready:
Aligned with enterprise requirements by operating within existing systems and controls rather than introducing new points of risk.
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Faster execution cycles:
Reduced time required to complete execution heavy AI work, allowing teams to move AI initiatives forward without long development cycles.
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Measurable impact on AI execution
With Adopt AI, 6sense accelerated internal execution required to support agentic and conversational capabilities across its revenue intelligence platform. Progress was measured by how quickly execution heavy work could be completed without slowing core product development or requiring changes to existing systems.
Rather than tracking end user interaction patterns, impact was reflected in faster AI enablement, reduced one time engineering effort, and increased confidence in moving agentic initiatives forward.
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Execution cycles shortened
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Core development remained uninterrupted
Built to accelerate execution today and support future AI growth
For 6sense, Adopt AI provided focused execution support that helped advance agentic and conversational AI initiatives without diverting attention from core platform development. Execution heavy work was completed quickly and cleanly, allowing teams to move forward with confidence while preserving architectural control.
What began as a targeted effort to accelerate AI execution enabled 6sense to progress faster on internal AI initiatives while maintaining flexibility for future expansion. The collaboration reinforced the value of pairing internal product expertise with execution support designed for enterprise scale.
Accelerated AI progress without disruption
6sense advanced internal AI initiatives without slowing delivery of its revenue intelligence platform or shifting engineering priorities.
Built for production readiness
AI execution work supported real world, enterprise grade use cases where reliability and control are essential.
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Embedded collaboration model
Forward Deployed Engineers worked directly with the 6sense team, operating as an extension of internal engineering during key execution phases.
Adopt + 6sense
6sense worked with Adopt AI to accelerate execution of core AI initiatives without diverting internal teams from building and scaling its core revenue intelligence platform. By offloading execution heavy work such as API crawling and system connectivity, 6sense was able to move faster on agentic and conversational capabilities while preserving architectural control and engineering focus.
What began as targeted execution support evolved into a delivered solution that helped 6sense advance its AI roadmap, reduce delivery friction, and bring enterprise grade AI experiences closer to production.
