AI Knowledge Method Workshop
The Big Idea
Is your content AI-ready — and is it delivering ROI? Research shows that 90% of enterprise content provides no measurable return, and most of it isn’t prepared for AI. Yet organizations continue to spend significant time and money maintaining it. The cost of inaction is real, and the path forward requires more than good intentions — it requires a proven method.
Join our experts for a walkthrough of eGain’s battle-tested AI Knowledge Method — a prescriptive approach built on over 25 years of industry experience that delivers a successful knowledge solution every time. Using a complex, legacy banking scenario, this classroom-style workshop will show you how to transform messy, siloed data into a structured, AI-ready deployment that works flawlessly for both human agents and downstream automation.
What You Will Experience
1. Identifying the Starting Line
You cannot improve what you haven’t measured. We will begin by running legacy banking articles through the AI Content Readiness Assessment (ACRA) tool. You will see firsthand how unstructured data scores poorly on the maturity scale, and how this baseline dictates the exact steps needed to move toward true AI readiness.
2. Choosing the Right AI Strategy for the Right Problem with eGain’s AI Orchestration Tool
Not every customer inquiry should be handled by a generative language model. In regulated industries, balancing flexibility with strict compliance is critical. Using our Orchestration tool and a live Risk vs. Complexity matrix, you will learn how to route different topics to the appropriate AI architecture:
| AI Approach | How It Works | When to Use It |
|---|---|---|
| Probabilistic AI (LLM) | The AI reasons freely to generate a single-shot response or procedure based on available knowledge. | Low-risk, conversational inquiries, general product information, and dynamic troubleshooting. |
| Deterministic AI (Guided Help) | A fixed, step-by-step procedural workflow with no improvisation. | High-complexity compliance workflows, complex troubleshooting, and data collection. |
| Certified Answers | A highly controlled, single-shot answer locked to an approved source. | High-risk inquiries like fee schedules, strict policy rules, and eligibility requirements. |
3. Curing Confident Hallucinations with Data Intelligence App
An AI is only as reliable as its underlying data. Once the routing gaps are identified, we will use the Knowledge Intelligence tool to scan repositories, identify conflicting answers, consolidate duplicate data, and structure metadata. You will see how this curation phase ensures both your Probabilistic and Deterministic AI flows deliver accurate, personalized answers.
4. Mapping the Method to Your Use Case
While the live walkthrough focuses on a banking scenario, the challenges of legacy data are universal. We will provide a printed roadmap tailored to other use cases so you can directly translate the tools and decision points on stage to the specific problem statements at your own organization.
Session Details
| Duration | 90 minutes |
| Format | Classroom-style interactive demo and strategic walkthrough |
| Who Should Attend | Knowledge Management leaders, solution architects, customer service operations managers, and AI strategists. |
| Prerequisites | A foundational understanding of enterprise customer service workflows. No advanced technical or coding background is required. |
| Materials | Everything is provided. Attendees will receive a physical “AI Knowledge Method Roadmap” handout upon arrival. |
The One Thing Attendees Will Walk Away With
Successful AI deployment is not just a technology switch; it is a structural transformation. You will leave with a clear, tool-backed blueprint for evaluating your current content maturity, cleaning up legacy data, and strategically deploying the right mix of generative and deterministic AI to ensure your knowledge hub delivers sustained, measurable impact.
