AI Automation Dojo by Office Samurai

Office Samurai

Tired of processes so old they remember when 'the cloud' was just a weather phenomenon? The Office Samurai Podcast slices into the heart of modern business, showing how AI and automation aren't just buzzwords for your boss to throw around. We explore practical ways GenAI, RPA, and intelligent automation can actually transform enterprise processes.

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#31
September 9 · 20 min
7 comfortable lies that kill AI transformations
Why don't AI rollouts die - why do they just stall? #Automation #ProcessIntelligence #AIAgents #GBS #SSC Most enterprise AI deployments don't end in spectacular failure. They simply run on indefinitely as attractive demos, wheeled out once a quarter to impress the board. The technology itself works fine. The real problem sits in the layer nobody wants to talk about out loud: badly designed processes. In this episode, Andrzej Kinastowski takes an unvarnished look at why technology transformations fall apart. We examine what happens when you industrialize chaos - automating processes that are fundamentally broken and should have been deleted outright rather than sped up. You'll also learn why your organization may not actually run on the expensive ERP system at all, but on hidden Excel files that modern analytics tools are blind to. This one is made for directors, managers and leaders in finance, HR and administration who want to stop investing in comfortable half-measures and start implementing solutions with a real, visible return in the P&L. What you'll learn in this episode: 🔸The 7 comfortable lies of transformation – from blind faith in analytics platforms to pointlessly building new AI teams. 🔸Industrializing chaos – why using technology to speed up a broken process only compounds the problem. 🔸The process mining blind spot – where the work actually leaks away, out of sight of your ERP and CRM. 🔸The personal productivity trap – why saving a few minutes on chatbot-written emails will never show up in the financial result. 🔸The executive sponsor – why without one, your odds aren't lower, they're exactly zero. 🔸What actually works – how simple process mapping and fixing the handoffs between departments recovers real money. Instead of looking for shortcuts, choose the correct option over the comfortable one. Fix your processes before you hand them to artificial intelligence.
#30
August 19 · 20 min
AI in Shared Services: where it works, function by function
What you offshored Is already your AI Roadmap. Your Shared Services Center already ran this exact filter 30 years ago and it's the same filter AI is running today. Somebody in your company already figured out where to automate with AI. They did it years ago, when they decided what to move to your Shared Services Center / GBS / BPO. The criteria never changed: high volume, repetitive, rule-based. That's the same list AI is good at right now. In this episode, we walk the floor of a shared services organization function by function — Finance, HR, IT, Procurement, Documents, Legal, Customer Service and flag exactly where to point AI first, where to keep a human close, and where it's still too early. What's actually in this episode: 🔸 An invoice-status agent that answers "did we get paid?" in plain language, without ever guessing 🔸 Vendor mailbox: from writing 200 near-identical emails a week to approving them 🔸 IT Service Desk: at some clients, access requests and revokes are up to 40% of all tickets 🔸 CV screening that took candidate review from two weeks down to 48 hours 🔸 A legal-monitoring system reading up to 600 regulatory acts a month, sorting them with 93–95% accuracy — in some cases beating the specialist who used to do it by hand 🔸 Document processing that cut prep time by 70–90% on hostile, multi-language scans 🔸 A logistics client whose automation went from a planned 30% to north of 60% 🔸 Why a customer-service AI pilot opened at 68% accuracy — and why that's the point, not the problem Download the AI Automation Playbook here: 👉 https://office-samurai.com/2026-ai-automation-playbook/?utm_source=youtube&utm_medium=organic&utm_campaign=ai_playbook_2026_description_20260819
#29
July 29 · 24 min
Is AI a massive disappointment? The 2026 state of the enterprise report
Is #AI a "massive disappointment"? Dissecting the WRITER 2026 report on #EnterpriseAI. #Automation #AIAgents #Strategy #BusinessAutomation. In this episode of AI Automation Dojo, Andrzej Kinastowski takes a "katana" to a glossy 36-page report on AI adoption. While the document looks professional with its expensive gradients, it reads more like a horror novel where nearly half of executives (48%) admit that AI adoption at their company has been a "massive disappointment". Download the AI Automation Playbook here: 👉 https://office-samurai.com/2026-ai-automation-playbook/?utm_source=youtube&utm_medium=organic&utm_campaign=ai_playbook_2026_description_20260729 We analyze data from the companies supposedly "winning" the AI race, only to find that 75% of their strategies are "more for show", essentially a LinkedIn post wearing a trench coat. We dive into the corporate paradox where 69% of companies are cutting staff based on the promise of AI productivity, while 39% admit they have no formal plan for how that AI will actually generate revenue. What you will learn in this episode: 🔸 Why satisfaction with AI tools dropped across every single dimension measured this year. 🔸 The rise of "AI sabotage"- why 44% of Gen Z employees are intentionally feeding garbage to models. 🔸 Why 75% of employees would trust an algorithm more than their own manager for work tasks. 🔸 The risk of promoting AI to the C-suite when one in three leaders isn't sure they could "pull the plug" if things went wrong. 🔸 How to stop "automating vibes" and start tying AI to measurable business outcomes. Instead of chasing sci-fi hype, we discuss the unglamorous but essential recipe for success: fixing processes before automating them, governing without strangling innovation, and keeping a Human-in-the-Loop on the kill switch. Don’t be next year’s cautionary statistic.
#28
July 8 · 23 min
Want to build a 21st-century Digital Workforce? (The 5 levels of maturity)
Can you build a 21st-century digital workforce on a hunch? Mastering #ProcessIntelligence is the only way to scale #Automation and #AIAgents without flying blind. In this episode of the AI Automation Dojo, Andrzej Kinastowski dissects the desperate corporate quest to figure out what employees are actually doing all day. Most organizations still operate in the "Wild West" managing by intuition and the foundational premise that "Bob usually copies this into Excel on Tuesdays." We break down the five levels of process maturity - from manual "spreadsheet purgatory" that burns 5% of your workforce's capacity to the holistic zen of Productivity Mining. This conversation is for executives demanding efficiency gains and managers tired of outdated, "coffee-stained" process maps that don't reflect reality. You’ll learn how to move beyond the "Happy Path" trap of traditional recording and see the "dirty" work happening in Outlook and Excel that your ERP systems are blind to. We explore how to find the truth of your operations without falling into the "Level 666" trap of corporate spyware. Data doesn't fix a broken culture; it just illuminates it. Stop optimizing a manager's hunch and start fixing reality. Gut feeling: double-checked.
#27
June 17 · 1 hr 2 min
Agentic AI in finance: automating P2P inquiries (case study)
Can artificial intelligence handle the constant stream of finance queries? #AIAgents #Automation #ProcessIntelligence In this episode of the AI Automation Dojo, we host Mateusz Ślemp from Amer Sports. We discuss the deployment of their first global AI agent, a tool designed to help employees reclaim time spent on manual payment status checks in corporate systems. Mateusz explains why the agent is not connected directly to the SAP system and how PowerBI acts as a secure data layer to prevent system overload. We also cover the importance of data security and protecting confidential information in large organizations. You will learn how to manage AI projects in environments regulated by strict SOX audits. What you will learn in this episode: 🔸Replacing thousands of support tickets with a simple chat on Teams, 🔸Using PowerBI architecture instead of overloading the core SAP system, 🔸Why invoice amounts were intentionally removed from the agent database, 🔸The evolution from traditional RPA robots to intelligent agents, 🔸How a phased testing strategy helped detect business errors before launch, 🔸AI manages the heavy lifting while humans focus on exceptions.
#26
May 27 · 17 min
AI Agents case study: 93% accuracy in legal document monitoring
How to safely implement #AIAgents and #UiPath in a large enterprise? Discover a real-world case study from the #Energy sector, where #Automation and #AI are supporting the legal department. 👉 Download the AI Automation Playbook here. In this episode of AI Automation Dojo, Andrzej Kinastowski breaks down a practical example from a Lithuanian energy company that successfully combined innovative AI solutions with strict cybersecurity requirements. You’ll see how to overcome “cloud paranoia” by implementing AI agents in a critical infrastructure environment, where a single mistake could create a real risk to power delivery.
#25
May 6 · 18 min
What if you could see how work in your company really happens?
Are you managing your team based on facts or just "monthly averages"? It’s time to look at the real data behind #ProcessIntelligence, #WorkforceOptimization, and #OperationsManagement. In this episode of The AI Automation Dojo, Andrzej Kinastowski discusses why official company flowcharts and PowerPoints rarely match the reality of daily work. While management often relies on averages to distribute tasks, the raw data usually reveals a different story: some teams are overwhelmed with 12-hour workdays while others have hidden capacity. We explore how large organizations can use task mining to identify the real causes of low productivity. Instead of blaming "slow employees," we look at structural issues like system lag, too many meetings, and the "tool fragmentation" where people have to jump between dozens of different applications just to complete one process. This conversation is a guide for operations leaders and GBS/SSC managers who want to use data to balance workloads, improve employee morale, and make better decisions about automation and team size. What you will learn from this episode: 🔸 Why "monthly averages" hide the real bottlenecks in your operations 🔸 How to identify the "quiet heroes" – high-performing employees who are often overlooked 🔸 The impact of "tool fragmentation" (e.g., using 6 different SAP instances simultaneously) 🔸 Case Study: How Vesuvius used data to prove 12-hour shifts during month-end and redesigned their process 🔸 How to reduce team size through natural attrition and better workload balancing 🔸 Why system performance, not employee speed, is usually the reason for delays
#24
April 22 · 49 min
AI Agent in Recruitment: CV screening (case study)
How to screen 1,300 CVs in 2 days? Discover #AIAgents and #Automation in this #Recruitment #Enterprise case study. In this episode of the AI Automation Dojo, Andrzej Kinastowski and Ola Kwiecień break down a massive project that actually made it into production. It’s not a theoretical POC; it’s a real-world solution for an HR department that was drowning in 1,300 applications per process. The problem was simple: three people cannot physically read every CV when the volume is that high. We talk about how an AI agent can step in to handle the initial screening, matching candidates against 15 specific requirements without ever being allowed to make the final "hire or fire" decision. You’ll see how to build a system that is both reusable and secure. We dive into the architecture that keeps the AI behind a layer of unattended robots to prevent prompt injections and accidental data leaks. This episode is a must-listen for talent acquisition specialists drowning in piles of applications, as well as for automation leaders looking for a secure way to implement AI within corporate architecture. If you are responsible for HR strategy or digital transformation, you will learn how to reduce application processing time from two weeks to just 48 hours, without sacrificing critical human oversight over AI systems.
#23
April 8 · 19 min
12,000 hours saved yearly by automating the right processes
Is your department "fully automated"? That is the greatest corporate lie. Discover #ProcessIntelligence #Automation and #AIAgents in our latest episode. In this episode of the AI Automation Dojo, Andrzej Kinastowski takes a katana to the "Full Automation" myth, the claim by regional managers that their departments have nothing left to improve. In reality, most teams are simply getting "really, really fast" at manual work, acting as "human APIs" by moving data between systems like Salesforce and Excel. We discuss how to stop relying on subjective surveys and workshops and start using Process Intelligence as a "digital MRI" for your operations. You will learn how to uncover the "micro-tasks" and "shadow processes" that employees forget to report because they are so deeply ingrained in muscle memory they don’t even register them as "work" anymore. This episode is for Automation Champions, transformation leaders, and CFOs who demand hard, quantified financial proof instead of "magic." We show how to turn millions of raw user clicks into board-ready business cases, featuring a real-world example of a global client who recovered 12,000 manual work hours per year. Download the AI Automation Playbook.
#22
March 25 · 22 min
AI Automation Playbook: 6 steps to avoid the 95% failure rate of AI projects
Why do 95% of #EnterpriseAI projects fail? Stop the #PilotPurgatory and master the #AIAutomationPlaybook with #OfficeSamurai. ROI is a ladder. #AI In this episode of the AI Automation Dojo, Andrzej Kinastowski, co-founder of Office Samurai, cutsthrough the "consulting bullshit" to explain the AI Paradox. While 75% of companies claim to use AI, most are just "driving a warp-speed spaceship to the mailbox." Without a methodical approach, 95% of vertical AI projects never scale, staying stuck as expensive demos that never deliver real value. 🚀 STOP EXPERIMENTING, START BUILDING: Download the AI Automation Playbook here: 👉https://office-samurai.com/2026-ai-automation-playbook/?utm_source=youtube&utm_medium=organic&utm_campaign=ai_playbook_2026_description_20260325 🎥 DEEP DIVES MENTIONED IN THIS EPISODE: CyberOla: Watch how we built our internal HR assistant to handle soul-crushing repetitive questions—and why governance is required to stop your AI from approving exotic pets in the office 👉 https://youtu.be/OKQooVgSaI8 The Agentic Recruitment Workflow: See how specialized agents handle phishing guards, resume extraction, and candidate matching to support human recruiters 👉 https://youtu.be/9ugaaoFr0Io We explore why giving everyone a "digital hammer" doesn't mean a house will build itself and how "Shadow AI" is creating a digital speakeasy in your accounting department. Andrzej introduces the 6-Phase Survival Guide—a step-by-step ladder to take your organization from chaotic prompt-engineering to a fully integrated digital workforce. From the infamous "Parrot Incident" in HR to slashing a six-month finance review down to just four weeks, this episode is packed with real-world wins and hard-earned lessons on why you must keep a "Human-in-the-Loop".
#21
March 11 · 29 min
Case study: 60% document automation in large-scale logistics
Stop #Logistics chaos with #AI #Automation. See how #UiPath #IDP #ProcessIntelligence & #AIAgents fix the #PDFsmoothie in #BusinessAutomation #GenAI. In this episode of the AI Automation Dojo, Andrzej Kinastowski (co-founder of Office Samurai) dives into the "swamp" of European logistics. Forget clean PDFs, we are talking about "potato quality" photos of crumpled delivery notes taken on a driver's knee. We explore how to solve the "PDF Smoothie" problem: those massive files where invoices, CMRs, and delivery notes are all stapled together in total digital chaos. The conversation shifts from traditional, rigid OCR and RPA 1.0 to a GenAI-native approach. You will hear why keyword classifiers fail against "final boss" documents like Delivery Notes (Lieferschein), which lack any standard layout. We break down a real-world case study where theclient dreamed of 30% automation, but by using UiPathDocument Understanding and the next-gen IXP, we pushed the results past 60%. This episode is for COOs, CFOs, and Automation Leads who are tired of "meatware", using intelligent humans as miserable text parsers to bridge the gap between systems. If your RPA program has stalled and the board is demanding real ROI from AI, these 30 minutes will show you how to build systems that don't just search for words, but actually understand theintent and context of your data.
#20
February 25 · 22 min
3 ways to discover potential for AI Automation
Stop mincing garbage. Learn 3 proven methods for #Automation, #AIAgents, and #ProcessIntelligence to find processes worth fixing. #RPA #GBS #SSC Most companies fall into the "Excel Trap" - sending out surveys to managers and getting back automation ideas that are either impossible to build or have zero ROI. In this episode of The AI Automation Dojo, Andrzej Kinastowski explains how to stop clogging your pipeline with "usual suspects" and start finding real gold nuggets in your organization. We break down the three specific paths used at Office Samurai to audit corporate reality: the "Long Blade" (Full PD) for deep multi-year roadmaps, the "Short Blade" (Quick PD) for 2-day surgical sprints, and "Digital Sensors" KYP) to catch the messy truth of daily tasks. This episode is a must-watch for leaders in Operations, GBS/SSC, HR, and Finance who want to move from "experimenting with tech" to delivering "CFO-proof" business results. What you will learn from this episode: 🔸 How to avoid the "Excel Trap" and why your current pipeline might be clogged with garbage 🔸 The "Samurai Criteria": Identifying tasks that are truly ready for RPA, AI, and digital agents 🔸 Shadowing vs. SOPs: Why Level 4 analysis finds the real ROI that documentation misses 🔸 The 2-Day Sprint: How to identify 10 automation candidates and fix "seams" between teams 🔸 Strategic Projects: When to use AI and agents for processes requiring "judgment" 🔸 Process Intelligence (KYP) as the ultimate "Bullshit Detector" for data-driven arguments Because the goal isn't to automate waste. It’s to sharpen your strategy so that every strike cuts clean through the problem.
#19
February 11 · 1 hr 25 min
AI wars, agents and end of RPA - how GenAI will really change the world in next years?
Are your AI investments actually paying off? In this episode of #AIAutomationDojo, we deconstruct the #ModelWars and explain why traditional #RPA is hitting a wall.#AIAgents #GenAI #ROI #LightAGI In this episode, Andrzej Kinastowski and Krzysztof Karaszewski deliver an "autopsy report" on the state of automation. They explore why the speed of AI development has made tools from just six months ago feel like ancient history. The conversation moves beyond the hype to discuss how "vibe coding" and agentic systems are allowing individuals to build systems that once required 1,500 hours of manual labor in just a few evenings. For who? This deep dive is specifically designed for COO/CFOs looking for twarde ROI, CAIOs trying to escape "Pilot Purgatory" and Heads of Automation whose RPA pipelines have gone dry. Whether you are managing application license waste or trying to find vertical agentic use cases, this episode provides the strategic "diagnostic X-ray" your organization needs.
#18
January 28 · 55 min
6 months to ROI: what task mining really delivered
When you hear “productivity mining”, the first thought might be surveillance. But in practice, it’s much more about transparency and knowing what’s really going onin your teams. In this episode, we speak with Elena Olichowska-Szydłowska,Automation Excellence Manager at Vesuvius, about what it actually took to roll out task mining across Shared Services.From dealing with IT security, to communicating clearly with teams, to getting managers to act on real data – this is the unfiltered version. We discuss: Why Vesuvius chose task mining over traditionalprocess mapping How Elena’s team handled employeeconcerns about being monitored What changed once leaders saw the workload data How the company reached break-even in 6 months What kind of findings led to better team balancingand workload reallocation This is not a theoretical discussion – it’s a look into the operational and human aspects of rolling out task mining at scale.
#17
January 14 · 14 min
Ticket automation across IT, HR, and Finance in enterprises
Do you trust AI? Like… really trust it? In this episode of The AI Automation Dojo, Andrzej Kinastowski, co-founder of Office Samurai, takes a katana to one of the biggest lies in enterprise AI. The idea that you can just let agents loose and hope nothing catches fire. Imagine you are looking for a perfect product on the Internet. A lawn mower, like Andrzej did. A polite, confident AI helped research it, compare the models, read users reviews, and recommend the best one. It had perfect specs, a good price, but one small issue. It did not exist. From there, Andrzej gets serious about what actually works today. Not sci-fi agent swarms. Not “just trust the model.” He talks about real automation for ticketing systems and shared inboxes, built with one simple rule: AI does the work. Humans stay in control. You’ll hear how to: 🔸 Automate service desk tickets without hallucinated answers 🔸 Use AI to answer questions and execute actions, but only after proper approval 🔸 Handle password resets, SAP access, and onboarding without human button-mashing 🔸 Keep employees as guardrails instead of copy-paste machines 🔸 Run multilingual support queues without speaking every language on Earth This episode breaks down a practical “human in the loop” setup that already runs in production. Jira tickets. Approval flows. RPA robots. No magic, no blind trust, just systems that follow your rules and stop before they do something stupid. If you’re tired of being told that fully autonomous AI is “basically ready,” this one’s for you. Because the goal isn’t AI that takes over. It’s AI that does the heavy lifting while you click approve. Ticket closed.
#16
Dec 10, 2025 · 49 min
10 golden tips for an AI Manager - how to manage AI projects
In this episode we dive straight into the everyday reality of running AI projects, with Dagmara Sysuła, Delivery Manager at Office Samurai, as your guide. If you’ve ever tried to run an AI project the same way you run RPA or IT delivery, you already know how that story ends. AI refuses to behave. And Waterfall? It taps out early. Dagmara walks through why AI needs a different kind of steering. These projects live on experiments. They shift. They surprise you. And unless you mix Agile discovery with the reporting discipline your sponsors demand, you end up with a confused team, an annoyed CFO, and a solution that never leaves dev. The four types of AI projects we keep seeing are: POCs and quick tests: two or three weeks to see whether the idea breathes or just gets sucked into the black hole. Full deployments: big, messy, political, and the ones that actually move the needle. Buying tools: buying the license is easy. Buying the knowledge to use it well is harder, and most companies skip that part. Strategy work: setting guardrails, deciding where AI fits, and lining up the ethics and processes. This shouldn’t wait until “later.” It has to run next to the early delivery work so the strategy is shaped by reality, not PowerPoint. That is why Dagmara came up with the 10 rules that can help put the puzzles of the AI project into the perfect place. Straight from the field, far from theory. We won’t spoil them that much in the description, so that you can get to know them yourself. ;) AI moves fast enough that these rules may look different a year from now. But for now, they’ll keep your AI projects from drifting into the usual swamp of confusion, hype, and half-finished work. Listen to the flaming discussion between Andrzej and Dagmara to deliver you AI projects better. And faster.
#15
Nov 26, 2025 · 22 min
I lost 10 years measuring manually processes... no more.
What do we really want to measure and how to do that? This question belongs to Zuzanna Pamula, Process Transformation Manager at Office Samurai. When she started her career in process improvement, she thought she had it all figured out: data from enterprise systems, colorful dashboards, and enough KPIs to fulfill a Six Sigma dream. For a young analyst, it felt like going to Disneyland for the first time… until she realized that all her numbers were only showing the visible tip of a much bigger and messier iceberg. The questions arose: 🔸 How much do people actually work? 🔸 Where do they waste time? 🔸 What happens between systems, outside of the ERP logs, in the real digital trenches of copy-paste, waiting, rework, and silent frustration? She did what every Lean Six Sigma purist would do: measurement. She shadowed people at their desks, designed perfect Excel templates, and begged for time tracking compliance. Guess what? It didn’t change anything. Because what she measured was how people SAID they worked – not how they ACTUALLY worked. Fear, bias, and corporate self-preservation kicked in. Everyone gave polished numbers that always added up to exactly eight hours a day. Pure fiction. That’s when she learned the hard truth: in most companies, process measurement is less about improvement and more about storytelling – the kind that makes managers feel safe. And then, the horsemen of success arrived: technologies such as Task Mining, Process Mining, Productivity Intelligence.With those tools you could see the real process. The kind that reveals what’s actually slowing you down, not what people wish was true. Because when you look at real data, you find things you didn’t expect: 🔸 People spending half their day in non-value-adding meetings 🔸 Constantly checking and replying to emails which feels productive, but is it really? 🔸 Work fragmented across a dozen tools that were supposed to make life easier, but ended up eating more time than they save. Zuza calls them the “(Un)expected Findings” – and every organization has them.They’re not about catching people on a lie. They’re about facing the truth. In this episode, Zuza takes us from her early Lean days – measuring work with pen and stopwatch – to the present, where AI and data analytics finally let us measure how work really happens. She talks about the illusions of productivity, the small human hacks (like mouse jigglers), and the uncomfortable (but liberating) truth that comes when data replaces opinion. This isn’t just an episode about process improvement. It’s about the courage to measure what’s real.
#14
Nov 12, 2025 · 51 min
KYP.ai CEO - new wave of AI tools to automate process discovery
How well do you really know your processes?Most leaders rely on reports, meetings, and gut feeling but the real picture of how work gets done is still hidden in the data.In this episode of AI Automation Dojo, Andrzej Kinastowski talks with Adam Bujak, CEO and co-founder of KYP.ai, about how modern AI tools are changing the way organizations understand and improve their operations.The conversation also goes deeper into what it means to lead with data, build trust and transparency inside teams, and use AI to empower people instead of replacing them. It’s a practical look at how leadership and technology are evolving together, across every industry.We discuss:🔸 Why process discovery still fails in many organizations🔸 What “data-driven leadership” really means in daily operations🔸 How AI helps uncover hidden patterns and recognize silent top performers🔸 How to balance automation with privacy and trust🔸 What generative AI actually changes in process intelligence (and what stays the same)
#13
Nov 4, 2025 · 25 min
Create best team and company using Expedition 33 pro hacks
Most video games today feel like déjà vu with better lighting. Sequels, remasters, recycled ideas wrapped in shinier engines. You know the pattern – Dying Light with more parkour and zombies, Far Cry giving you another dictator to overthrow, and Assassin’s Creed sending you to take a leap of faith into history for the 12th time.Well, it could be worse – like Silent Hill f, with its repetitive bosses, clunky combat, and a storyline so glued to Asian folklore that you spend more time Googling 1960’s Japanese books for kids to get hints than actually playing.It’s the same loop for most AAA titles: big budgets, big promises, small soul.And then, out of nowhere, you hit the “Whoa” moment.Clair Obscur: Expedition 33. A game that shouldn’t have been possible – made by 30 people in France, on a fraction of the usual budget. No corporate roadmap. No marketing empire. Just a small team with a clear vision and something to prove.What they created wasn’t just another RPG. It was art in motion.The visuals felt like a living painting. The music didn’t just accompany the story – it was the story. Every emotional note hit right where it should. Every character felt like a person, not a trope. It was about something studios often forget: meaning.The result? 9.7 user score on Metacritic. 5 million copies sold. And a stunned industry wondering how a tiny team did what 500 people couldn’t.This episode isn’t a fan review. It’s a story about how Clair Obscur: Expedition 33 rewrote the rules – and what its creators can teach anyone building products, leading teams, or just trying to make something that matters.We break it down into three simple rules:1. Make the thing you love and really want to use.2. Hire the spark – teach the skill.3. Hire smart people, then get out of their way. You’ll also hear about:🔸 The broken economics of AAA gaming – and how it mirrors corporate stagnation everywhere.🔸 The quiet power of creative freedom and why most leaders are terrified of it.🔸 Why inexperience might just be your biggest advantage.This isn’t just about gaming. It’s about leadership, creativity, and the art of trust.And if you do one thing after listening – check out this soundtrack. Let the “dim, dim, dam” echo in your ears a bit longer: https://music.youtube.com/playlist?list=PLox5pGvBTF_Unzs_XhD5Qm2DW5N6OLCvl&si=4m4tDqgFrU0efB2x
#12
Oct 15, 2025 · 53 min
Process Discovery with AI - productivity and improvement analysis
Every company has procedures, documentation, and reports. But do processes really look the way they’re described on paper? From our experience – not quite. In this episode of AI Automation Dojo, Andrzej Kinastowski talks with Michał Kozubski (Office Samurai) about productivity mining and process discovery. With tools like KYP AI, organizations can finally see how work is actually being done – and use that data to improve efficiency, balance workload, or identify automation opportunities. In the conversation we cover: 🔸 Why companies invest in productivity mining – and what benefits they expect 🔸 The gap between “documented processes” and “real-life processes” 🔸 What productivity mining uncovers (hidden apps, endless copy-paste, overloaded teams) 🔸 Using data to redistribute work and improve team efficiency 🔸 How to address employee concerns and show it’s not about surveillance 🔸 Challenges around people, processes, technology, and data security 🔸 How AI supports analysis and points to potential improvements

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