Mateusz Trawiński — Senior Engineering Manager at SimCorp
Artificial Managers or Intelligent Managers? What Will Come From The Mix of AI And Management
September 20, 2024
14:40
AI in Practice
🇬🇧 English
AI in Practice
Talk to your company like you talk to Siri
About
This presentation will demonstrate the effective use of AI in businesses, explaining why AI integration is essential to maintain market leadership. It will discuss the role of data as the new currency in business and its optimal use in decision-making. The presentation will highlight the benefits of process automation in improving work quality and saving time, and will emphasize the importance of regular data collection and analysis. Franciszek Georgiew will share insights from his two years of experience working with AI across five companies.
The session is designed for those who view AI as a means to scale their business and increase profits, not just as a topic for casual conversation. The Automation House team has been working on this for two years, so both successes and failures will be discussed. The presentation will focus solely on practical business applications, avoiding academic theories. Participants will hear concrete examples based on insights from experts who use AI daily in their work.
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From the recording
Talk in brief
At WaysConf 2024, Franciszek Georgiew, owner at XXII Ventures, details how professional service businesses can unify operations and interact with company data through artificial intelligence. Georgiew introduces Operating System 2.0, a framework that standardizes tool cadences and core business processes across portfolio organizations. By centralizing operational data into AirTable and warehouse repositories, companies build live dashboards and eliminate departmental silos across marketing, sales, and client management. He presents Ion, an internal chat interface connected to company records, enabling leaders to query sales calls, review metrics, and enforce training frameworks via custom AI personas. Georgiew also outlines his personal AI productivity system, which utilizes structured calendar check-ins, bias-identification prompts, and executive persona prompting in Notion to drive accountability. He concludes by emphasizing that drastically dropping token costs and accelerating compute power make daily AI adoption essential for long-term competitiveness.
Key takeaways
- 01
Standardize Operating Rhythms Across Business Units
Establishing uniform reporting schedules and shared core process frameworks across portfolio companies creates predictable data streams for automation. This structured cadence makes central data collection far more efficient than constantly switching productivity software.
Watch from 1:54 - 02
Drive Automation Adoption Through Active Change Support
Successful workflow automation relies heavily on change management rather than just technical implementation. Leaders must demonstrate unwavering confidence, set clear expectations, and offer direct side-by-side training to help employees embrace new systems.
Watch from 6:51 - 03
Query Company Knowledge Base via Modular Large Language Models
By routing centralized business records through a unified interface like Ion, leaders can query sales notes, call transcripts, and performance metrics using flexible AI models. Tailored AI personas can then provide context-aware coaching aligned with specific company frameworks.
Watch from 10:07 - 04
Implement Personal AI Reflective Journaling Routines
Feeding personal goals, routines, and daily reflections into an AI model creates an interactive self-coaching partner. Structured daily check-ins help uncover subconscious biases and spark ambitious new approaches to personal workflows.
Watch from 15:40 - 05
Adopt High-Leverage AI Work Patterns for Future Competitiveness
Rapidly falling token costs and expanding model reasoning capabilities mean business growth hinges on smart work rather than brute-force labor. Organizations must build proactive AI habits today to avoid falling behind faster-moving global competitors.
Watch from 22:08
Read edited transcript highlights
These concise notes were edited from automatic captions and checked against the talk structure. They are not a verbatim transcript.
Establishing Operational Rhythm Over Frequent Tool Migration
Switching productivity tools frequently usually wastes significant time without yielding major operational benefits because most modern software features open APIs. Rather than endlessly debating software options, holding companies should focus on establishing consistent operational rhythms across every unit. For example, requiring all portfolio managers to report sales figures at the exact same weekly deadline creates predictable data streams. When standardized across core business functions like sales and client management, this disciplined rhythm makes long-term automation and performance analysis far simpler.
Watch from 1:14Navigating Human Resistance During Automation Scaling
Building automated workflows technically is straightforward once the objectives are clearly defined, but driving organizational adoption presents a major challenge. As processes become tightly standardized, employees lose individual flexibility, often resulting in natural friction. Overcoming this resistance demands active change management anchored by leadership confidence and definitive execution. Instead of expecting staff to learn from passive video recordings, leaders must sit down directly with team members, guide them step-by-step through new tools, and offer continuous empathetic support.
Watch from 6:51Querying Portfolio Intelligence with Model-Agnostic LLM Interfaces
Developing a unified internal interface like Ion allows executives to interact directly with structured operational data using flexible large language models. Rather than locking workflows into a single AI provider, a model-agnostic layer enables organizations to swap between different models based on their strengths in multi-threaded reasoning or document analysis. This architecture lets managers analyze sales call transcripts, query company wikis, and deploy specialized AI coaches tailored to sales frameworks like Challenger Sales.
Watch from 10:07Building a Personalized AI Self-Coaching System
Applying AI principles to personal life management can significantly boost individual clarity and productivity. By supplying a private AI model with comprehensive background details regarding personal goals, key relationships, daily habits, and work schedules, users establish a deeply personalized coaching environment. Integrating brief dictation check-ins during morning, midday, and evening calendar blocks allows the model to summarize reflections, track habits, and suggest targeted interventions without consuming excessive time.
Watch from 15:40Uncovering Blind Spots via Persona Prompting and First Principles
Using AI for personal development works best when prompts push past standard solutions to challenge cognitive biases. Asking the assistant to generate thought-provoking questions or analyze statements for status quo bias helps uncover delegable tasks and overlooked operational opportunities. Furthermore, instructing the AI to adopt specific personas—such as demanding executives or top athletes—provides candid, high-accountability feedback that pushes leaders to move beyond complacent outcomes and aim for exponential growth.
Watch from 18:21Capitalizing on Exponential Declines in Compute Costs
As artificial intelligence models rapidly gain advanced reasoning capabilities, the underlying economic cost to execute automated tasks has plummeted drastically. Token costs have dropped roughly 240 times over two years, creating immense economic leverage for organizations that embrace smart work over brute-force effort. Staying competitive in a rapidly accelerating global economy requires companies and individuals to integrate AI workflows into daily habits immediately rather than relying solely on traditional hard work.
Watch from 22:08Explore WaysConf 2026
