Your GTM team has AI. So does every team you're competing against. The question isn't whether you're using it – it’s whether your AI actually delivers business outcomes. Here are three reasons it might not.
Agents need good data
Most customer data is fragmented across 15+ tools, split across structured (i.e. CRM, Snowflake) and unstructured data sources (i.e. docs, texts, voice, email, meetings, social, 3rd party). Even if these 15 tools have MCP, it doesn’t mean your prompts or LLMs analyze everything. If you want fast results your prompts will skim data with 10-15% analysis, and with deep research at best you may hit 35-40%. That’s a lot of blind spots for opportunity management or forecasting deals. I’m pretty sure no CRO or first-line leader wants to commit based on 40% visibility.
Agents need good context
Even with good data, GTM agents still need context. Think of context as the relationship between your company and your customers/prospects. For example, which emails, meetings, texts, calls, and signals relate to an opportunity which relates to an account which relates to one or more contacts who are your champions, EBs, blockers, and influencers. Context helps your agents understand the true meaning of your customer data so that results are deterministic and accurate. Again, you don’t want your agents to guess or hallucinate when your teams are trying to progress deals or forecast. Remember reps with happy ears? You don’t want the same for your agents.
Agents need good governance
When your reps use Claude or any LLM, your customer data quietly walks out the door — no policy layer, no controls, nothing. No role-based access deciding who can query which accounts. No audit trail of what was asked or acted on. No record of which model version just processed your most sensitive competitive intel. Every prompt is basically an ungoverned outbound call with your customer data as the payload. AI experiments are fine, but security teams are going to have a cow without controls or guardrails.
Agents need an AI-Native Architecture
Think of it this way: would you rather have all your customer data in one database — hundreds of tables, all linked, all queryable — or spread across 15-20 different systems with no relationships between them? That's the difference between what Aurasell agents operate on versus every other approach.
We built Agent Builder on a unified data layer that connects all your customer conversations, channels, and signals — structured and unstructured — into a single context graph. Agents get real-time signals without having to fetch and reconcile data from multiple sources. No inconsistencies, no lag, no unnecessary cost. Just complete, connected context, ready to act on.
On top of that, we ship enterprise security and role-based access controls out of the box — so you control exactly what has access to your accounts, contacts, opportunities, and customer data. Your security team can actually sign off on this one.
Agent Builder Library
Agent Builder ships with a huge library of GTM agents to help you prospect, forecast, execute, and more. Simply click the agent you want to use and customize it to your needs:
Tell Agent Builder what you want
Just tell Agent Builder what you want using natural language and it will help you build it.
The entire agentic workflow will be built on front of your eyes in minutes, and if Agent Builder needs more information or clarity, it will just ask you:
Agents can be event-driven (e.g. new customer signal), time-driven, or manually kicked off, you decide.
Here are some ideas to get you started:
- “Build me a customer win wire agent that triggers when an opportunity is closed-won. Post the win wire to our slack channel #team-sales”.
- “Monitor all customer conversations and channels 24/7 — alert me to deal risks.”
- “Build me an agent that integrates my Splash landing page web form with my Aurasell contacts so I can enrich them with campaign data and nurture them with a sequence”.
- “Build me an agent that analyzes intent data every Monday for topics which relate to AI GTM and AI sales intelligence, create me a new account list each week which stack ranks accounts by intent score and topic”
- “Build and email me a first meeting discovery scorecard after every new business meeting. Score the meeting on intro, agenda, pain discovery, solution intro, product demo, objection handling, and next steps”
Join Xerox, TCI Logistics, and KURRENT.AI
Companies including Xerox, TCI Logistics, and Kurrent AI are already using Agent Builder to identify customer intent signals in real time and develop automated workflows across their revenue pipelines.
Xerox leveraged Agent Builder to enrich and analyze more than 85,000 customer accounts while building an AI-enabled competitive takeout motion designed to determine the next best action 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. “We moved 85,000 accounts into Aurasell to improve the "Digital Halo" of each of these accounts leveraging the thousands of Aurasell agents on the platform. Secondly, we had to create an AI enabled competitive takeout sequence where the platform determines the "next best action" across all 85,000 accounts. Aurasell has enabled both of those business process challenges within weeks of implementation."
TCI Transportation connected a third-party intent signal in just 10 minutes without a single line of code or RevOps involvement. Agent Builder automatically built the entire downstream workflow around it — identifying accounts, creating and routing records, generating tasks, triggering outreach sequences, and surfacing visibility to the top-of-funnel team.
"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. “Agent Builder didn't just connect the data — it automatically built the agentic workflow around it, helping us operationalize the signal from day one. It wasn't a one-shot integration. It was a dead shot."
Ready to start building agents? Talk to us.
