New no-code capability lets go-to-market teams build AI-powered workflows using unified customer data and enterprise governance.
Aurasell has introduced Agent Builder, a new no-code capability designed to help go-to-market (GTM) teams build, orchestrate, and deploy AI-powered workflows using natural language, unified customer data, and built-in governance.
The launch expands Aurasell’s AI-native GTM platform by enabling sales, marketing, and customer success teams to create autonomous workflows without engineering support. The company said the capability is designed to help organizations operationalize AI across customer engagement while reducing reliance on fragmented tools and disconnected customer data.
According to Aurasell, many organizations struggle to deploy AI effectively because customer information is spread across multiple applications, limiting the context available to AI agents and reducing the quality of recommendations and automated actions.
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“We’re at an inflection point where the question is no longer whether AI belongs in GTM, but whether your stack was built to support it,” said Jason Eubanks, CEO and co-founder of Aurasell. “Legacy tools weren’t built for autonomous action. Agent Builder is.”
Agent Builder allows GTM teams to design workflows using natural language while bringing together structured and unstructured customer data from across the technology stack. The platform continuously captures customer interactions across channels, analyzes intent in real time, and automates actions designed to improve revenue outcomes.
The capability is built around three core components:
- Aura Context, which creates a unified, real-time view of customer interactions across channels.
- Aura Trust, which provides governance through role-based access controls and policy management.
- Aura IQ, which applies go-to-market intelligence developed with input from experienced GTM operators.
Since launching its platform in August 2025, Aurasell said it has grown to more than 50 customers, with 37% replacing either HubSpot or Salesforce. The company also reported more than $6 million in annual recurring revenue and over 185 million AI-powered workflows executed across its platform.
Customers, including Xerox, TCI Transportation, and Kurrent.AI, are using the platform to identify customer intent and automate revenue workflows.
Xerox, for example, used Aurasell to enrich and analyze more than 85,000 customer accounts while building an AI-driven workflow that recommends next-best actions across its customer base.
“Our fundamental business challenge was to improve our cost of revenue,” said Jim Robshaw, Chief Data and AI Officer at Xerox. “Aurasell enabled both of those business process challenges within weeks of implementation.”
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TCI Transportation also deployed Agent Builder to connect third-party intent data and automatically generate downstream workflows—including account routing, task creation, and outreach sequences—without engineering or RevOps support.
“What would traditionally be a multi-team RevOps project took ten minutes and zero technical involvement,” said Ross Calame, EVP of Sales at TCI Transportation.
Marc Manara, Head of Startups at OpenAI, said the platform demonstrates how OpenAI’s latest models can be combined with customer context and verification layers to build AI workflows that execute more reliably for go-to-market teams.
