Organizations use Enablix to enable their revenue teams and customers. With Enablix, enterprises serve the right information at the right time to their front-line sales teams, customers, and partners.
Content is a big component of these targeted experiences. Organizing relevant collateral and information is vital to drive these enablement experiences (customer portals, sales portals, partner portals). Therefore, these enablement use cases become a primary opportunity to improve audience experience with the help of generative AI. Like using ChatGPT for information retrieval, customers, sales reps, and partners can benefit from using AI-powered experiences to discover knowledge and act.
However, compared to tools like ChatGPT or Claude, there are core differences between an internet user using ChatGPT to retrieve information and a customer retrieving content and information from a customer portal (or a sales rep asking questions on content from a sales portal).
Data Security and Privacy:
Unlike publicly available information, an organization's content is off-limits for LLM training for security and privacy reasons.Absence Of One Source Of Truth:
There is a lot of content and information within an organization that is spread across disparate systems. For ChatGPT, the World Wide Web is the single source of truth. Not for enterprises.Disparate Formats:
Furthermore, content is stored in proprietary formats in these disparate sources (files, videos, web pages, proprietary apps, etc.)Need Organization’s Context:
Every organization is different. They have their unique needs and go-to-market and customer engagement motions. To provide accurate results, the enablement infrastructure needs to be tuned with the organization’s context. In the absence of this tuning, the AI results will be inaccurate and will lead to poor user engagement and in some cases outright incorrect information.Content Quality Is Vital:
Organizations evolved rapidly. Their sales strategy updates every other quarter and products evolve at a much rapid pace. AI driven experiences need to take this change into account and appropriately calibrate the information so that accuracy is not compromised.
For a Revenue Enablement platform like Enablix, it has to overcome these challenges to help customers deliver accurate and engaging experiences to their customers, sellers, and partners. Enablix is using AI to help its customers deliver engaging experiences.
Beyond Silos: A Holistic Approach
Sellers need information from different sources. Information to engage customers is present in silo applications. One of our fundamental AI strategies is providing one single experience that taps into different silos and point solutions.
Instead of helping customers simply discover how-to-articles, we want to equip our clients to enable their customers to discover information from their knowledge bases, their training platform, and other marketing and one-off collateral. A single experience that taps into multiple information sources is critical to drive engagement.
Enablix's "Chat with Content" represents their strategic approach to AI integration—not as a standalone tool but as a connective tissue between previously disconnected systems. Rather than creating just another AI chatbot that is working off of a siloed data source, Enablix is building a unified intelligence layer that understands the complete customer journey and can source information and data from disparate sources to drive a singular enablement experience.
Context Is King With AI: Keeping it Controlled and Scaled
Anyone who has used ChatGPT, Claude, or any of the publicly available gen AI services will agree that the more targeted the question, the better the response. And this is more true in an enterprise organization. When enabling customers, sellers, and partners with the right information and an engaging experience, context is vital.
The right context has to be baked into different levels of the conversation to generate an apt experience and response. With its already flexible architecture for information modeling, Enablix has developed a framework that allows it to control context at different levels of the information hierarchy.
For instance, in the case of helping reps with tips and best practices on how to use content in an opportunity and help them negotiate, one needs to take into account the following contexts:
Overall company context
The persona context (the sales rep)
The deal context (deal attributes, deal-related conversations)
Content context - this can be a particular content asset and its use for the deal or it could be a negotiation playbook used as a template to suggest the next negotiation tactic in the context of the deal.
Enablix AI functions allow its clients to control these contexts at scale across multiple segments and personas.
End User Experience: Focus on the Entire Digital Journey
Generative AI has its origins in ChatGPT and therefore, the AI trend has become synonymous with a conversational chat experience. However, when it comes to enablement use cases, activating only chat experiences is limiting for your audience.
One of the biggest disadvantages of a conversation-chat experience is that it puts the onus on the user to trigger the conversation. While useful in certain scenarios, users need not always know what they need.
Therefore, one of the key tenets of Enablix’s AI investments is its focus on end-user experience. Whether it is your customer, your sales team members, or your partners, Enablix continues to invest in digital experiences that do not entirely rely on the user’s input and can be driven by other elements in a user’s journey.
Here are some examples of how Enablix aims to drive better user experiences with the help of generative AI.
Quick Insights
Enablix-powered experiences improve information experience by providing tailored insights for every piece of information. Whether they are pricing proposals, pitch decks, demo recordings in a sales setting, or integration guides, how-to-videos, training assets for customers, the insights powered by Enablix AI help these targeted audiences get faster and accurate answers to get the job done.
Summarization
Summarization is one of the top applications of generative AI (see). However, most applications out there are siloed and target one single use case (as we discussed in Beyond Silos: A Holistic Approach). Enablix AI architecture helps deliver tailored summarization experiences for different content assets. Enablix platform automatically delivers content type-specific summaries. Our customers always have an option to fine-tune these experiences, if needed.
Sales Intelligence
For sellers, their prospects, accounts, and opportunities are vital. A seller’s pipeline data is a vital source of context for effective enablement. Furthermore, sales reps and the entire revenue team consider their CRM as the nerve center of their revenue operations. Organizations want their reps to spend their time in the CRM tools.
Enablix recognizes that the best sales user experience is driven by their pipeline context. Delivering that sales intelligence in the context of the opportunity in the CRM tool is bound to deliver the ideal user experience.
Reps can receive tips and best practices on how to utilize content for a given account or opportunity, what the next best action to take on an opportunity is, and other guidance right inside the CRM application.
Effective Engagement: Meet Where Users Are
Knowing that a seller’s experience can be significantly improved by arming them with the right insights and knowledge right inside the CRM platform, we should not miss that reps use other tools outside their CRM application, which need to be complemented with a similar experience. A few examples of these apps are:
Email Apps:
Reps spend a considerable amount of time in their email apps. Prospect emails provide a lot of insights and intelligence that can be used to guide the reps with the best next action.LinkedIn:
Many enterprise sales reps use LinkedIn to prospect.Sales Engagement Apps:
Third-party sales engagement apps like Outreach.io, Salesloft, and Apollo.
Furthermore, many reps are on their mobile phones and tablet devices when on the go. When considering a user experience, all these application experiences have to be taken into account for effective engagement.
Privacy and Security First
Enablix prioritizes content privacy and security in its AI implementation. Their approach ensures that:
Client content is not used to train large language models
Content is not shared permanently with OpenAI
Access controls and permissions are strictly enforced within the AI experience
Client data is processed through private sessions that respect established security protocols
This privacy-centric approach allows organizations to leverage AI benefits without compromising sensitive information.
Governance & Oversight
When it comes to content management, not enough is discussed about the vital role of governance and oversight as it applies to AI. A lot of industry practitioners put a couple of governance and oversight with privacy and security. However, the two topics are distinct. Checking the privacy and security boxes does not mean organizations can skip governance and oversight.
Content Quality
At the center of any AI-driven experience is information quality. An AI that is using out-of-date, incorrect, and irrelevant information is bound to give poor results. Enablix content framework provides tools and techniques to help organizations maintain a tight grip on content quality and relevancy. (see)
AI Tuning
Enablix gives companies a strong headstart in AI-powered revenue enablement by delivering an architecture that is optimized for revenue enablement. Organizations can hit the ground running in days by delivering accurate content discovery and insights to their customers, sellers, and partners. However, Enablix allows clients to further tune these experiences to improve accuracy and effectiveness.
Every organization is different. And organizations need a way to align these experiences to their unique needs.
Feedback & Insights
Enablement stakeholders have complete and granular visibility into their audience’s experiences and interactions. Customer enablement leaders can measure what aligns with their customer’s interests and where they are falling short. Sales enablement and marketing stakeholders can measure content and information attribution to revenue.
These insights are the cornerstone of our customers’ ability to drive efficiencies and make data-driven investments in their enablement programs.
Accuracy Prioritization
In B2B environments, accuracy isn't just a preference—it's mission-critical. When sales representatives rely on AI-generated information to engage with prospects or support customers, a single incorrect answer can damage credibility, derail deals, or compromise compliance. While consumer AI applications might prioritize breadth of coverage, business contexts demand precision. Since Enablix's approach doesn't train LLMs on client content and operates within a limited, highly contextualized dataset, the system can be optimized for accuracy within these boundaries. Getting correct answers 70% of the time while indicating limitations for the remaining 30% is vastly preferable to attempting 100% coverage at the risk of delivering misinformation. Business users would rather receive an honest "I don't have enough information to answer that reliably" than plausible-sounding but incorrect information that could lead to costly mistakes. This accuracy-first approach builds trust in the system over time, ensuring users return with confidence rather than skepticism about the reliability of AI-generated responses.
The Enablix AI Difference: Accuracy and Performance
No doubt, generative AI offers a huge upside to better enable your internal revenue team members and your customers. However, the consumer experiences of AI, largely highlighted by tools like ChatGPT and Claude, cannot be directly ported to an enterprise setting. Organizations not only need to operate within the guardrails of privacy and security, but every organization is a highly contextualized environment where direct application of outside world knowledge is going to result in suboptimal experiences.
Therefore, Enablix has built a framework that helps organizations make use of AI advancements without losing accuracy and performance.