AI is reshaping the way GTM teams discover, communicate, and deliver value, but not all AI is created equal. While many teams today toggle between disconnected tools like ZoomInfo, LinkedIn Navigator, or even external AI research assistants, Ecosystems’ ViViEN™ 2.0 (Virtual Value Engineer) puts discovery, research, and outcome orchestration directly into the same platform where value is captured, quantified, and realized.
That’s a key differentiator: no more switching between external sources and then manually re-entering research into a value conversation. With ViViEN™, it’s all built into the same workflow.
From Outside-In Research to Inside-the-Platform Insights
In a recent Customer Value Community session, some of our members shared the challenges they face while using a mix of external AI tools and how they often lead to issues verifying sources or summarizations. This fragmented approach creates inefficiencies and leaves gaps in trust.
With ViViEN™, that work happens inside the platform itself. GTM teams can:
- Run account research in real time, including mission statements, financials, competitive landscape, leadership bios, and recent initiatives, without leaving the business case workspace.
- Drag and drop validated insights directly into discovery fields, shaping customer conversations around outcomes, not just functionality.
- Cite sources with confidence, ensuring research stands up to scrutiny from both internal stakeholders and customers.
“We live by the saying that customers are better editors than creators. ViViEN™ sets [GTM teams] up with the right starting points:
- Validated Objectives
- Outcomes
- Assumptions
so they can focus conversations on refining and aligning with the customer.”
Connecting Discovery to Value Outcomes
Traditional AI tools stop at research. ViViEN™ goes further by tying that discovery directly into value frameworks: the structured models that translate unstructured customer conversations into measurable business outcomes.
Instead of leaving GTM teams with generic notes or unverified data, ViViEN™ helps bridge the gap:
- Turning discovery notes into business outcomes in the Collaborative Value Assessment.
- Feeding in assumptions like employee counts or revenue directly into the business case calculations.
- Keeping a single source of truth that evolves across the buyer journey, from pre-sale through post-sale value realization.
This means research doesn’t just inform the conversation. It shapes the quantified value story that drives consensus and confidence.
Built for Trust, Speed, and Scale
Many teams raised concerns about privacy, credible sources, and adoption when using generic AI research tools. ViViEN™ was built to address these exact challenges:
- Trustworthy results: Research is surfaced with citations and limited caching, ensuring sellers always work with current and verifiable information.
- Embedded workflows: Instead of “yet another AI tool,” ViViEN™ lives where GTM teams already build value conversations/stories, lowering the barrier to adoption.
- Scalable prompts: Teams can define industry-, persona-, or solution-specific prompts, guiding GTM teams to perform consistent, high-quality discovery across every opportunity.
“We absolutely expect AI, with the value function through Ecosystems, to enable scale for our GTM teams. The dream is better conversations that get closer to what the customer cares about, and ViViEN™ is delivering on that.” — Customer Value Community Member
The AI Differentiator in GTM
While the AI landscape is crowded, ViViEN™ stands apart because it isn’t a bolt-on. It’s a fully integrated AI research assistant, discovery guide, and value translator all inside the Ecosystems platform.
For GTM leaders, that means less time spent wrangling external tools and more time spent shaping deals, accelerating consensus, and driving measurable outcomes.
Ready to see how ViViEN™ can transform discovery and value storytelling for your team? Reach out to Ecosystems today.
