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Turning Institutional Knowledge into an Operational Advantage

Discover how AI can transform fragmented institutional knowledge into an operational advantage. Join Blend and Graphon AI leaders to explore strategies for preserving critical expertise, delivering trusted answers at the point of work, reducing downtime, and improving workforce productivity.
Event Location
Virtual
Event Date
November 18, 2026
to November 18, 2026
Event Time
12:00 pm
- 1:30 pm
About this event

Critical operational knowledge often sits locked inside disconnected systems or individual minds. Manuals, service records, schematics, historical data, procedures, videos, and years of employee experience may all contain pieces of the answer, yet frontline teams can still struggle to find what they need when an issue occurs. The result can be longer downtime, repeated mistakes, slower onboarding, unnecessary rework, and an increasing dependence on a handful of experienced employees.

AI creates an opportunity to rethink that equation. Rather than asking employees to search across systems or know which expert to call, organizations can begin connecting fragmented knowledge and delivering relevant, contextual answers directly at the point of work. But doing so raises important questions around capturing undocumented expertise, accuracy, trust, governance, and determining when an AI-generated answer is reliable enough to inform an operational decision.

Join Blend and Graphon AI for an intimate virtual roundtable exploring how organizations can transform scattered expertise into accessible enterprise knowledge. Through candid peer discussion, we’ll examine where institutional knowledge gets trapped, what inaccessible expertise is costing the business, how AI can help surface answers in real time, and what happens when the knowledge of your best experts becomes available across the organization.

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Our speakers
This event has no speakers.
Key themes & discussion topics

The Hidden Cost of Inaccessible Knowledge
How fragmented information and disconnected systems contribute to operational downtime, repeated mistakes, slower onboarding, and unnecessary rework, and how organizations can measure the true business impact.

Preserving Critical Institutional Expertise
The risks of relying on a small number of experienced employees and explore strategies for capturing undocumented knowledge, preserving expertise, and ensuring business continuity as workforces evolve.

Unlocking Operational Knowledge with AI
How AI can connect scattered information across manuals, historical records, procedures, and employee expertise to deliver relevant, contextual answers that improve frontline decision-making and operational efficiency.

Building Trust in AI-Powered Decision-Making
The importance of accuracy, governance, source verification, and human oversight when deploying AI-generated insights in operational environments, ensuring teams can confidently act on trusted information.

Event agenda
01
Welcome remarks

12:00 – 12:15 AM

02
Guided group discussion

12:15 – 13:15 PM

03
Closing thought & group reflection

13:15 – 13:30 PM

Why should you attend?

Discover how to transform fragmented information and undocumented expertise into an accessible, actionable resource that drives operational efficiency and business performance.

Explore how AI can deliver trusted, contextual answers at the point of work, helping teams resolve issues faster, reduce downtime, and minimise costly rework.

Learn strategies for capturing the knowledge of experienced employees, reducing dependency on key individuals, and ensuring valuable expertise remains within your organisation.

Engage in candid discussions with senior leaders facing similar challenges, share practical experiences, and explore how to build trust, demonstrate ROI, and scale AI-powered knowledge management.

Who should attend
This exclusive event is designed for senior leaders across Operations, Service, Maintenance, Manufacturing, Supply Chain, Quality, Customer Experience, AI Transformation, and IT, particularly those focused on reducing downtime, improving workforce productivity, accelerating issue resolution, preserving institutional expertise, and demonstrating measurable value from AI investments.
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Venue
Event Location Light
Virtual
N/A
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