The Gap Between Output and Outcomes
In recent discussions with business leaders regarding Artificial Intelligence (AI), a recurring theme emerges: the excitement around AI’s capabilities often contrasts sharply with the actual results it delivers. Initially, leaders express enthusiasm over AI’s ability to generate everything from insightful reports to engaging emails. However, when it comes down to effectiveness, questions arise. “It writes great emails,” they might say, “but are they converting?” More often than not, the answer is no.
Similarly, while AI can research potential customers in mere seconds, the real question remains: is it identifying the right prospects? Unfortunately, the frustration around the discrepancy between AI’s impressive outputs and the desired business outcomes is palpable. At HubSpot, we’ve identified the driving factor behind this imbalance: a lack of context.
The Missing Ingredient: Context
When we examine our best team members, a common thread runs through their abilities—they possess context. They leverage past experiences to prioritize prospects, craft conversion-focused emails that resonate with your audience, and quickly resolve customer inquiries by tapping into historical knowledge.
Context is about having the right information available at the right moment, along with the discernment necessary to act on it. Without this context, AI tends to produce generic outputs based on generalized information gleaned from across the internet. It does not inherently understand your unique business, your customers, or the subtleties that drive results in your industry.
This lack of understanding is the crux of why AI’s outputs struggle to connect with desired outcomes. AI agents, devoid of the essential context that knowledgeable humans provide, falter in making actions truly effective.
The Problem: Context Lives Everywhere and Nowhere
Currently, this essential context is often hidden away—stored in the minds of employees, scattered across multiple systems, and embedded within the nuances of how your team operates daily. Consider the reasoning behind crucial decisions: why certain deals were escalated, or why specific marketing campaigns bore fruit. While most platforms can track what transpired, the ‘how’ and ‘why’—the very essence of context—are typically dispersed among emails, instant messages, and individual experiences.
This knowledge accumulates over time, offering invaluable insights; however, it can evaporate when an employee departs. Furthermore, current AI tools typically fall short in uncovering or utilizing this context. They often require manual uploads of brand guidelines and workflow configurations, demanding repetitive input for each new tool. This approach can feel upside-down and inefficient in an ever-evolving technological landscape.
What We’re Building: The Agentic Customer Platform
At HubSpot, we are working towards what we call an "agentic customer platform." This innovative solution aims to consolidate customer data and business context into a singular, comprehensive platform accessible to both your team and AI agents. By enabling collaboration between human intelligence and AI capabilities, this platform aspires to revolutionize how businesses market, sell, and service their customers.
Historically, CRM software has primarily focused on monitoring the efforts of marketing, sales, and support teams. The absence of context has resulted in missed opportunities for meaningful engagement and conversion. However, as AI assumes a larger role in business operations, it becomes crucial that these intelligent systems have access to the same foundational context upon which human decision-making relies.
This evolution necessitates the creation of a fundamentally new platform characterized by three interconnected layers:
1. The Context Layer: Where Knowledge Lives
At the heart of our platform lies the Smart CRM, which aggregates all customer interactions and data into a single source of truth. This comprehensive system includes:
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Complete Customer Data: Beyond structured records, the platform gathers unstructured insights from emails, call transcripts, and conversations, ensuring a holistic view of customer interactions.
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Business Context: This encompasses not only actions taken but the rationale behind decisions made, capturing the nuances of your brand, products, and overarching strategies.
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Team Context: By systematically documenting how your team collaborates, the context of effective teamwork is preserved, mitigating the loss of valuable insights when team members transition.
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Industry Intelligence: Drawing from the experiences of over 250,000 companies, the platform informs which strategies yield success in similar markets—guiding decision-making with proven data.
- Domain Knowledge: With two decades of accumulated market expertise, the platform provides critical insights that help prioritize deals, identify buying signals, and streamline support handling.
2. The Action Layer: Where Work Gets Done
Having established context, the platform integrates applications designed to apply this knowledge effectively:
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Hubs: The comprehensive Marketing, Sales, and Service hubs leverage this context from the very outset, simplifying processes related to brand awareness, pipeline management, and customer satisfaction.
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Breeze Agents: These AI teammates are designed to perform substantial tasks, such as enriched data research, answering support inquiries, and qualifying leads—freeing human employees to focus on higher-value responsibilities.
- Breeze Assistant: Serving as a go-to-market expert for every team member, this AI tool offers tailored insights and recommendations, enhancing role-specific decision-making while also automating CRM updates.
The fusion of context with action means these tools are designed to produce better business outcomes and create a seamless experience for customers. By consolidating operations onto a single platform, we eliminate the disjointedness that often arises from using a series of disparate applications.
3. The Coordination Layer: Where Humans and Agents Collaborate
For AI and human collaboration to thrive, we require a coordination layer that goes beyond traditional methods of workflow automation:
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Agent Management: Business leaders can assign roles to agents, determining which tasks they handle independently and which remain with human team members, fostering a collaborative environment.
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Connected Systems: Recognizing that business operations extend across multiple platforms, HubSpot ensures that its agents can navigate seamlessly through these systems, enhancing overall operational cohesion.
- Unified Governance: A singular platform allows for centralized governance, managing permissions, audit trails, and security protocols across all interactions.
Why This Matters
Ultimately, success hinges on results—not just the capabilities of AI. As AI models become increasingly commoditized, the unique advantage will lie in the combination of customer data, business wisdom, and best practices gleaned from countless organizations. While AI may provide general knowledge about the world, what businesses urgently require is a system that understands their unique circumstances.
Traditional CRM solutions frequently function as mere record-keeping systems rather than platforms that offer actionable context. Point solutions laden with AI capabilities often lack access to complete and coherent customer data, resulting in disjointed user experiences as companies piece together integrations.
With HubSpot, however, your crucial context exists in one centralized location, fostering a synergistic environment where human intuition and AI power can collaborate. It’s a vision driven by the goal of making AI genuinely effective in helping growing businesses thrive.
