AI × MarketingWednesday, July 8, 2026· 5 days ago

Aurasell Agent Builder Empowers GTM Teams with No-Code AI Workflows

Aurasell has launched Agent Builder, a new capability allowing go-to-market (GTM) teams to design and operationalize AI-powered agentic workflows using natural language, without needing to write code.

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Aurasell has introduced Agent Builder, a new platform feature designed to allow go-to-market (GTM) teams to create and manage agentic workflows without writing any code. The company states that many GTM teams moving quickly with AI are building on an unstable ground of fragmented data, often spread across numerous disconnected tools, which prevents a comprehensive view of the customer Source.

According to Aurasell officials, this lack of unified context can lead to missed signals, poor recommendations, and AI solutions that fail in real-world scenarios, resulting in "AI token sprawl and revenue outcomes they can’t prove." Agent Builder aims to solve these issues by enabling users to design AI-driven workflows using natural language.

What Agent Builder Offers

Agent Builder allows GTM operators to build complex agentic workflows through a natural language interface. The platform unifies both structured and unstructured customer data from across the GTM stack. This continuous capture of cross-channel conversations helps power more accurate AI agents and enables real-time analysis of customer intent signals, translating them into actionable workflows that can drive revenue outcomes.

Aurasell emphasizes that the platform includes enterprise-grade governance and role-based access controls from its foundation. The capability is built on three main pillars:

  • Aura Context: This feature creates a unified, real-time view of customers and GTM activities by connecting every conversation, channel, and signal.
  • Aura Trust: This provides enterprise-grade security with role-based access controls (RBAC) and policy controls, ensuring visibility and governance over which agentic workflows can access sensitive customer and revenue data.
  • Aura IQ: This represents GTM intelligence developed by experienced operators. It incorporates decades of go-to-market expertise into the design of agentic workflows.

Aurasell's Growth and Impact

Since its launch in August 2025, Aurasell reports that it has acquired over 50 customers. More than a third of these customers (37%) have replaced existing CRM platforms like HubSpot or Salesforce with Aurasell. The company has reached over $6 million in annual recurring revenue (ARR) and has powered more than 185 million agentic workflows daily for hundreds of users Source.

Jason Eubanks, CEO and co-founder of Aurasell, commented, “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. Legacy tools weren’t built for autonomous action. Agent Builder is. That’s not incremental improvement but a bet on what GTM software becomes.”

Companies like Xerox, TCI Logistics, and Kurrent.AI are already utilizing the Aurasell platform. Xerox, for example, used Aurasell to analyze over 85,000 customer accounts and develop an AI-powered competitive strategy to determine optimal next actions across its customer base. Jim Robshaw, Chief Data and AI Officer at Xerox, stated that Aurasell enabled them to improve their cost of revenue and address business challenges within weeks of implementation.

Agent Builder is currently available to all Aurasell customers and supports various leading large language models, including OpenAI, Anthropic, and Google, among others.

Key takeaways

  • 01Aurasell's Agent Builder allows GTM teams to design AI-powered workflows using natural language, eliminating the need for coding.
  • 02The platform aims to fix fragmented data issues by unifying customer data across different GTM tools for better AI accuracy.
  • 03Agent Builder is built on three pillars: Aura Context for unified customer views, Aura Trust for governance, and Aura IQ for GTM intelligence.
  • 04Since August 2025, Aurasell has acquired over 50 customers, with 37% moving from HubSpot or Salesforce, and reached $6M+ in ARR.
  • 05Companies like Xerox are using Aurasell to improve revenue efficiency and develop AI-enabled competitive strategies quickly.

Frequently asked

What problem does Aurasell's Agent Builder solve for my business?+

Agent Builder helps businesses overcome the challenge of using AI effectively when customer data is scattered across many different tools. It allows operational teams to build sophisticated AI workflows without needing technical coding skills, leading to more accurate customer insights and revenue-generating actions.

How does Agent Builder unify customer data?+

Agent Builder's 'Aura Context' pillar creates a comprehensive, real-time view of customers by intelligently connecting all conversations, channels, and signals across your entire go-to-market stack. This unified data then powers more accurate AI agents.

Can my existing team use this without a technical background?+

Yes, Agent Builder is specifically designed for GTM operators to design complex agentic workflows using natural language, eliminating the need for coding. It's built for ease of use by non-technical marketing and sales professionals.

What kind of results have other companies seen with Aurasell?+

Xerox, for instance, used Aurasell to analyze 85,000 customer accounts, build an AI-enabled competitive strategy, and improve their cost of revenue within weeks. Aurasell has powered over 185 million agentic workflows since its launch.

Does Aurasell replace my current CRM or other GTM tools?+

According to Aurasell, 37% of their current customers have replaced platforms like HubSpot or Salesforce. While it can act as an alternative, its primary function is to orchestrate and operationalize agentic workflows across your existing ecosystem by unifying data.

Sources

Every briefing is drafted from primary sources — official announcements, vendor blogs, and reputable industry reporting — then edited by our pipeline.

#ai agents#go-to-market#no-code#automation#revenue operations#customer data
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