GTMpro is active in the implementation and integration layer of the AI agent stack. While they do not build foundational models, they focus on the critical "last mile" of agent deployment: connecting LLMs (OpenAI, Anthropic) to real-world communication surfaces like Twilio and business systems like Salesforce and HubSpot.
They are particularly relevant to the agent ecosystem because of their focus on QA, evaluation, and human-in-the-loop escalation. By building agents that operate across phone and SMS with structured hand-offs, they demonstrate how autonomous agents can be responsibly integrated into traditional B2B sales cycles. They champion the idea that agents are not standalone products but components of a larger, engineered go-to-market system.
GTMpro is a fractional engineering practice based in Melbourne that addresses a specific friction point in the B2B growth stack: the distance between a revenue strategy and a functional, automated system. While many businesses possess the necessary tools—HubSpot, Salesforce, or Clay—they often lack the internal engineering capacity to wire them together into a cohesive pipeline. GTMpro operates as a technical implementation partner, building the "plumbing" that connects outbound enrichment, communication channels, and CRMs.
The practice focuses on three primary areas: outbound infrastructure, CRM and data routing, and conversational agents. By treating go-to-market activities as a system rather than a series of disconnected tasks, GTMpro aims to eliminate common issues like lead leakage, duplicate records, and slow response times. Their work is characterized by a reliance on automation platforms like Make.com to synchronize tools like Instantly and HeyReach, ensuring that data captured during sales touches is automatically attributed and deduped within the CRM.
A core part of GTMpro’s offering is the development of multi-channel conversational agents. These agents are designed to handle lead qualification across SMS, phone, and chat. Rather than simple chatbots, these are built as integrated layers within a company's sales process. For example, a growth-stage B2B company utilized a GTMpro agent to respond to after-hours inbound demo requests. The agent interacts with the prospect in seconds, conducts lead qualification via structured Q&A, and books meetings directly into an account executive’s calendar.
What distinguishes these implementations is the focus on reliability and production readiness. GTMpro utilizes evaluation frameworks and QA loops to catch edge cases before they reach a customer. This engineering-first mindset includes building human escalation paths, where the AI hands off the conversation to a person alongside the full interaction transcript. This ensures that the agent remains a tool for efficiency rather than a source of customer frustration.
GTMpro operates under a fractional model, led by its founder, Gagan. This structure allows revenue teams to access senior-level engineering talent without the overhead of a full-time hire. The practice offers three tiers of engagement: Sprints, Retainers, and Advisory.
Sprints are scoped builds lasting two to four weeks, delivering a specific system such as a new outbound pipeline or a conversational agent. Retainers provide ongoing technical capacity (typically 10-20 hours per week) for continuous iteration and upkeep, serving as an external RevOps engineering arm. The Advisory tier is a lighter-touch option focused on architecture reviews and vendor selection for teams that already have internal builders but need technical guidance on complex integration decisions. This modular service model reflects the specialized nature of modern go-to-market engineering, where businesses frequently need high-intensity technical input for specific growth phases.
Technically, the stack is built on a foundation of industry leaders including OpenAI and Anthropic for LLM capabilities, Twilio for communication surfaces, and a variety of sales-specific tools like Apollo and Clay for data enrichment. By stitching these together, GTMpro builds custom infrastructure that remains under the client's control while benefiting from professional engineering standards.
AI agents for SMS, phone, and chat with built-in QA and escalation paths.
GTMpro is hiring.