Stop turning every single workflow into an AI agent. Here’s the reality: - Not everything needs an AI agent: Forcing AI into every step adds unnecessary cost, delay, and errors. - Use the right tool for the job: Keep deterministic rules where you need 100% predictability, and save AI agents for complex reasoning. - Connect them in one place: With tools like UiPath Maestro Flow, you can link AI agents, RPA, APIs, and business logic on a single canvas. - Build how you want: Design them visually in Studio Web or write them in VS Code. The best enterprise workflows aren’t 100% AI agents—they are smart, hybrid orchestrations. #UiPath# #AIAgents# #MaestroFlow# #EnterpriseAutomation# #AgenticAI# #RPA# @UiPath #1AIFanatic#

What Is UiPath Cartographer? The Map of Work in 90 Seconds 📌 𝗖𝗮𝗿𝘁𝗼𝗴𝗿𝗮𝗽𝗵𝘆 = the discipline of building and maintaining maps. UiPath just pointed that idea at enterprise work. At 𝗨𝗶𝗣𝗮𝘁𝗵 𝗙𝘂𝘀𝗶𝗼𝗻, UiPath launched 𝗖𝗮𝗿𝘁𝗼𝗴𝗿𝗮𝗽𝗵𝗲𝗿 — what CEO Daniel Dines called "the most consequential announcement in our history." Here's the breakdown 👇 🔹 𝗧𝗵𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 Every company has two versions of every process: the one in the official documents, and the one that actually runs. Exceptions, workarounds, judgment calls — that knowledge lives in people's heads, not in the docs. 🔹 𝗪𝗵𝗮𝘁 𝗶𝘁 𝗶𝘀 An agent that works as a copilot to the human "cartographers" in a company — the people who map how work runs. Together they build the 𝗠𝗮𝗽 𝗼𝗳 𝗪𝗼𝗿𝗸: a living, governed asset you can build processes on, reengineer processes on, and collaborate around as a team. 🔹 𝗛𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀 Three ways in: ✅ Prebuilt templates (loan origination, claims review) ✅ The Process Atlas library ✅ Build-your-own for proprietary processes It generates design docs and build-ready specs, feeds UiPath Maestro for orchestration, and a decision ledger keeps the map in sync. 🔹 𝗪𝗵𝗼 𝗶𝘁'𝘀 𝗳𝗼𝗿 Business analysts and process teams who spend months on workshops and manual discovery just to understand one process. 🔹 𝗥𝗲𝗮𝗹 𝗲𝘅𝗮𝗺𝗽𝗹𝗲 An insurance claim — long-running, exception-heavy, can take a month or more. Mapping it by hand took analysts months. Cartographer shrinks it to weeks, even days. Full breakdown in the video below 🎥 What's the most undocumented process in your company? 👇 #UiPath# #UiPathFusion# #Cartographer# #AgenticAI# #Automation# #1AIFanatic#

A @UiPath AI agent inside Maestro Flow took 10.6 seconds. TypeSafe AI Jev took 3.9 seconds. Then I noticed something much more important than latency. The agent was 3x slower. THE PROBLEM ☕ Card disputes are high-volume and repetitive. Most cases do not need deep reasoning, but we still often send every case through either: • A human analyst • Or a full LLM agent Both are expensive ways to answer relatively simple decisions. THE BUILD 🧩 I created one UiPath Maestro Flow with two decision paths. 1️⃣ TypeSafe AI Jev through a simple HTTP call 2️⃣ UiPath AI Agent with the same input and output schema Same 10 disputes. Same task. Same cloud environment. Then I measured them. THE RESULTS 📊 ⚡ Jev: 3,913 ms per dispute 🤖 AI Agent: 10,624 ms per dispute The AI agent was 3x slower. Jev processed the batch for roughly $0.000042 per dispute. But speed was not the biggest lesson. THE PART I DID NOT EXPECT 💡 I had created a rule: Confidence < 0.60 → Human Review Sounds reasonable. Except Jev returned 1.00 confidence on 8 out of 10 cases. My confidence gate almost never had a chance to fire. The workflow was still safe because uncertain cases eventually routed to a human. But the benchmark exposed a weakness in my architecture, not the model. THE CASE THAT GOT INTERESTING 🎯 One customer said: "There is a $42 charge I don't recognize, but my son sometimes uses my card." Jev: fraud_unauthorized → 0.75 calibrated probability AI Agent: no_valid_basis → 0.62 self-reported confidence That distinction matters. One number is designed to represent probability. The other is an LLM estimating its own confidence. MY TAKEAWAY 🧠 This is not: "Small model beats AI agent." Agents are powerful when the situation requires actual reasoning. But if the question is predictable and structured, why pay LLM latency for reasoning you do not need? Classifier for predictable decisions. Agent for ambiguous reasoning. UiPath Maestro decides which one runs. That orchestration layer is the most interesting part of the experiment. 🔗 Complete flow, agent and setup guide: 🎥 YouTube walkthrough: Are you still paying an agent to make decisions a calibrated model can already answer? 👇 #UiPath# #Jev# #TypeSafeAI# #AIAgents# #AgenticAI# #MaestroFlow# #EnterpriseAI# #1AIFanatic#

How I made a UiPath AI agent 15𝐱 𝐟𝐚𝐬𝐭𝐞𝐫 and cut decision costs to $0.00003. ⚡ TypeSafe's Jev cannot write a single word of text. 🛑 Yet it might be the most important model for enterprise automation. Here is what happened when we plugged it into a UiPath Coded Agent: ⚡ --- THE PROBLEM ☕ Traditional LLMs like GPT are great writers, but terrible judges: • They take 6+ seconds per decision • They cost a fortune at enterprise scale • They cannot give you calibrated mathematical confidence --- THE FIX: "THE SPLIT ARCHITECTURE" 🧩 We built an Anti-Money Laundering (AML) triage agent with a clean division of labor: 1️⃣ UiPath LLM Gateway reads the alert and pulls out facts. 2️⃣ @typesafeai AI Jev judges 7 compliance questions in 398 ms for $0.00003. 3️⃣ UiPath LLM Gateway writes an audit rationale with real evidence quotes. --- THE REAL CLOUD RUN NUMBERS 📊 On actual UiPath Orchestrator serverless runs: • 𝐉𝐞𝐯 Decider: 591 ms | $0.000034 • LLM Decider: 5,299 ms | 0.2 platform units -> Jev was 9.13x faster on live cloud runs (15.5x median in benchmarks). --- THE REAL MAGIC: THE CONFIDENCE GATE 💡 When Jev is right, confidence is 0.89 to 1.00. When Jev is unsure on ambiguous alerts, confidence drops to 0.31. By setting a threshold at 0.50: 🟢 Greater than or equal to 0.50 -> Auto-Dispose: Handled instantly with zero touch. 🟡 Below 0.50 -> Human Review: Routed safely to compliance analysts. 100% of correct decisions pass through, and zero errors slip by. 🛡️ --- The complete agent code: The Youtube Video: Are you still asking generative LLMs to make your business decisions? 👇 @UiPath #UiPath# #Jev# #AIAgents# #EnterpriseAI# #LangGraph# #Python# #FinTech# #1AIFanatic# #CodedAgents#