From Domino Data to AI Insight: panagenda’s Journey So Far

A product does not automatically become more valuable just because AI is added to it. Real value is created when AI helps customers make better use of the data, insights and tools they already have. In this 20-minute session, Chris will share how panagenda has approached AI over the past 18 months, both internally and in relation to its products for the HCL Notes, Nomad and Domino market. panagenda is not an AI provider and it is not trying to become one. Instead, the focus is on how integrations such as those for panagenda's very own iDNA and even HCL's Domino itself can connect with the AI solutions customers choose and trust, whether cloud-based, enterprise-provided or running locally, to make existing data and analysis even more useful. This session will look at the journey so far: what panagenda explored, what mattered, what did not and how AI integration can support real-world use cases without becoming just another checkbox on a feature list. Expect insights from panagenda’s experience so far, lessons learned along the way and demos showing what this journey has made possible. Takeaways - See through the AI hype and find the real value - Make AI work with what you already have - Skip the dead ends and learn from a journey already taken

Transcript

1. From Domino Data to AI Insight: panagenda’s Journey So Far Christoph Adler | panagenda LET'SCONNECT 2026 · OSLO 20 OCT · STOCKHOLM 22 OCT
2. Christoph Adler Head of Solution Consulting, panagenda I bleed yellow and have been living and breathing Notes and Domino since 2001. My passion is the client side of the HCL ecosystem, from the Notes Client to Nomad Mobile and Nomad Web. In this session, I’ll introduce an unexpected “client” for your Domino environment, one you probably wouldn’t think of as a client at first glance. linkedin.com/in/chadler · christoph.adler@panagenda.com 2
3. Thank you to our sponsors 3
4. Agenda 1. panagenda’s AI journey so far 2. From Domino Data to AI Insight 3. Q&A 4
5. 01 panagenda’s AI journey so far
6. Who we are Founded in Vienna in 2007. Software, analytics and consulting for complex enterprise collaboration environments. Licenses sold Used in Offices in 15M+ 70+ countries Austria, Germany, the Netherlands and the US HCL Notes/Domino 6 Microsoft 365 Trust and security ISO/IEC 27001 CYBER TRUST Europe EU GDPR DORA and NIS-2 Secure SDLC HCL & Microsoft partner
7. Where we started We didn't jump on the hype. We kept testing it. 7 Classic engineering Security-first DNA Healthy skepticism An exceptionally strong engineering team, building and shipping our products the traditional way. EU GDPR and strict security standards shaped how we work, long before AI. First experiments with free tools felt like a better search engine. Sometimes not even that.
8. From skepticism to daily practice Before 2025 Jun 2025 Sep 2025 Early 2026 Mid 2026 Today Private experiments Company meeting First real productivity The breakthrough AI First Daily practice Free tools, individual trials. Like a better search engine. Athens: AI training for everyone. Approved tools defined. Verdict: not there yet. Development starts to benefit, step by step. 4-6x Internal AI First session in April. Even the biggest skeptics switch. In everyday work and in development. Some developers build only with AI. 8 more productive developers
9. Two lenses: everyday use and development Everyday use Software development Translation, research, data analysis, drafting and rephrasing. Dictate the intent, let AI draft, then edit it yourself. Coding, testing and documentation. This is where the big productivity gains happen. How we make it work Approved enterprise tools: Microsoft Copilot and Claude 9 AI training for everyone, since our 2025 company meeting
10. Every developer is now a team lead 10 BEFORE NOW Spell out every detail Describe the goal Exact data, steps and code. AI as a typing aid. Orchestrate parallel AI sessions like a team of tireless, always-motivated junior developers. Every changed line reviewed Automated tests everywhere Accountability stays human No AI output goes to production unseen. Checks run in the background, all the time. Experienced developers own the result.
11. An honest reality check 11 Faster, but not at light speed Speed is not value Tokens: a volatile currency What took two years without AI will not automatically take two weeks. It can still easily take 6 to 12 months. Building faster does not mean building what customers need. Pricing, limits and model consumption change almost week by week. TAKEAWAY TAKEAWAY TAKEAWAY Expect a learning curve and dead ends Measure value, not just speed Set company-wide tool standards, track costs
12. Why am I telling you this? Where are you? AI in our products Your LLM of choice Similar experiences, different ones? I would love to hear about it after the session. We are integrating AI into our products. Where it adds real value, not as a label. We are not an AI provider. Where we integrate AI, we connect to the LLM you choose. NEXT 12 From Domino data to AI insight
13. 02 From Domino Data to AI Insight
14. Part 1: iDNA Applications PART 1 14 NOW PART 2 From portal to AI What comes next What iDNA knows about your Domino applications, and how the new iDNA Companion lets you work with that knowledge in plain language. A first look at Project Fusion (working title).
15. What is iDNA Applications? Deep analytics for your HCL Notes/Domino applications, built for modernization, optimization and consolidation projects. Usage Code Who uses which application, by department and location, in client and browser. Design and source code complexity, similarity and platform-wide code search. Self-hosted, fully on-premises 15 Application Lifecycle Sunset or keep, readiness for 64-bit Notes and Nomad Web, modernization planning. Container-based installation Data Retention Content analysis: what is still under retention, what can be archived or deleted. Continuous data collection
16. Three ways into your iDNA data Until recently: all the answers were there, if you knew where to look. EXPLORE QUERY VISUALIZE iDNA portal DataMiner Metabase Built-in dashboards and drill-downs. Powerful, if you know where to look. Your own SQL queries against the iDNA data. Output: Excel or API. Your own dashboards and reports, clicked together visually. One iDNA data foundation. 16
17. Inside the iDNA portal 17
18. Four ways into your iDNA data Now: you don’t need to know where to look. Just ask. NEW EXPLORE QUERY VISUALIZE ASK iDNA portal DataMiner Metabase iDNA Companion Built-in dashboards and drill-downs. Powerful, if you know where to look. Your own SQL queries against the iDNA data. Output: Excel or API. Your own dashboards and reports, clicked together visually. Ask in plain language. AI that knows Notes and iDNA thinks along. One iDNA data foundation. And the Companion closes the circle: it writes DataMiner queries, points you to the right dashboard and reads the code. 18
19. Meet the iDNA Companion Your AI client Claude, Codex or GitHub Copilot. Premium cloud model or a local LLM. Why it matters A Notes/Domino consultant on demand The model is smart on its own. The Companion adds the HCL Domino domain knowledge and context. iDNA Companion plugin Gives your AI client the know-how to support you in Notes/Domino projects using iDNA data. MCP server in iDNA Opt-in container in your iDNA installation, preconfigured. Delivers the data about your own Domino estate. 19 For experts and newcomers From Domino admins to project managers who have not touched Notes in years. Quick answers, long conversations Ask once, or let a conversation accompany your project for weeks and months. With links to the right iDNA dashboard.
20. The iDNA Companion in (action) Demo 20
21. Part 2: Project Fusion 21 PART 1 PART 2 From portal to AI Project Fusion What iDNA knows about your Domino applications, and how the new iDNA Companion lets you work with that knowledge in plain language. Working title. A first look at what comes next. NOW
22. “ Remember the unexpected “client” for your Domino environment? Meet your AI. Claude, Copilot, ChatGPT or a local LLM, talking to Domino on your behalf, with your rights.
23. Project Fusion in a nutshell We don’t make tools. We build solutions. Runs as the user Same rights, ACLs and directory as in Notes. Sign-in via your identity provider using OAuth. Automatic discovery Understands on its own what your databases contain and what they are used for. Governed access Exclude databases, restrict AI access beyond the ACL, keep an audit trail. Your LLM of choice Claude, Copilot, ChatGPT or a local LLM. Under your control, on your premises or in your cloud. And much more… This is just a sneak peek. Everything else comes with the announcement. Anyone can build an MCP server for Domino, a simple bridge. Everything above makes it an enterprise-ready product. 23
24. Not just for admins and developers For everyone in your organization, especially your end users. MANAGEMENT “What is the status of our key project, and what do people think about it?” FINANCE “A customer says we owe them money. What happened?” IT “Is anyone locked out of our servers who shouldn’t be?” Plain questions, answered from Domino data across many databases, each with that person’s rights. 24
25. Be there at the official announcement Your AI Doesn’t Know Notes. Yet. 17 November 2026 4 PM CET · 10 AM EST QR code: register for Your AI Doesn’t Know Notes. Yet. Your host Christoph Adler See what comes next for your Notes/Domino data, live and in color. Register now Register now 25 Scan to register
26. Thank you to our sponsors 26
27. Thank you! Questions? Christoph Adler https://www.linkedin.com/in/chadler/ christoph.adler@panagenda.com