May 2025

Building AI Agents, Marketing and Sales AI Agents

Territory Optimizer AI Agent

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Building “Terry,” the Territory Optimizer AI Agent Define Project Scope Terry’s objectives include: Collect and process geographic data (sales regions, territories). Analyze account data (customer details, revenue, opportunities). Recommend optimal territory assignments based on workload balance, sales potential, and geographic proximity. Visualize optimized territories for easy interpretation by sales teams. Generate actionable insights and reports...

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Building AI Agents, Operations and Supply Chain AI Agents

Capacity Planner AI Agent

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Building Cora, the Capacity Planner AI Agent Cora, the Capacity Planner AI Agent forecasts resource needs (e.g., labor, equipment, and space) and recommends capacity adjustments across facilities using historical and real-time data. Cora ensures facilities can handle fluctuating demand efficiently and optimizes operational performance. Define Project Scope Objectives Collect Data: Integrate historical and real-time data...

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Enterprise AI Challenges

Modernizing the Past

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Modernizing the Past: Tackling Legacy Systems for AI Success Don’t let outdated technology hold back your AI transformation. Legacy systems, those aging applications and infrastructure that often underpin critical business processes, can be a significant roadblock to AI adoption. These outdated technologies often lack the flexibility, scalability, and compatibility needed to support modern AI solutions....

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Building AI Agents, Human Resources AI Agents

Learning Path Designer AI Agent

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Building Lucy, the Learning Path Designer AI Agent Lucy, the Learning Path Designer AI Agent personalizes employee training plans by analyzing role requirements, existing skills, and performance data. It identifies skill gaps, recommends relevant courses, and tracks learning progress while providing insights to HR. Define Project Scope Objectives Collect Employee Data: Fetch role, skills, and...

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Building AI Agents, Operations and Supply Chain AI Agents

Energy Optimizer AI Agent

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Building Edison, the Energy Optimizer AI Agent Edison, the Energy Optimizer AI Agent monitors real-time energy usage, identifies inefficiencies, and optimizes facility systems such as HVAC, lighting, and equipment to reduce energy consumption and costs. Define Project Scope Objectives Collect Data: Gather real-time energy consumption data from facility systems (HVAC, lighting, equipment). Analyze Usage: Identify...

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Enterprise AI Challenges

Mastering Global AI Data Flows

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Mastering Global AI Data Flows Beyond Borders, Beyond Barriers: Transforming Data Transfer Challenges into Strategic Advantages In today’s globally connected enterprise environment, artificial intelligence systems frequently depend on data that crosses international boundaries—from development and training to deployment and monitoring. Yet this essential data mobility faces unprecedented regulatory complexity as countries worldwide implement increasingly divergent...

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Building AI Agents, Operations and Supply Chain AI Agents

Inventory Optimizer AI Agent

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Building Ian, the Inventory Optimizer AI Agent Here’s how to create “Ian,” the Inventory Optimizer AI Agent to predict demand patterns and optimize stock levels across locations. Define Project Scope Objectives Collect demand data: Integrate historical and real-time inventory data. Analyze patterns: Identify trends in demand across time and locations. Forecast demand: Predict future stock...

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Enterprise AI Challenge

Mastering AI Investment Valuation

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Mastering AI Investment Valuation Measure What Matters—Not Just What’s Easy to Count. In the race to implement artificial intelligence, organizations face a critical paradox: the pressure to invest in AI has never been higher, yet the ability to measure returns on these investments remains elusive for most enterprises. While 89% of companies have increased their...

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Building AI Agents, Operations and Supply Chain AI Agents

Logistics Optimizer AI Agent

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Building Leo, the Logistics Optimizer AI Agent Leo, the Logistics Optimizer AI Agent dynamically plans and adjusts delivery routes in real time by analyzing traffic, weather, and delivery constraints to optimize logistics efficiency and reduce costs. Here is a step-by-step guide, including the technology stack and sample code to build and deploy Leo. Define Project...

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Enterprise AI Challenges

Mastering AI Impact Assessments

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Mastering AI Impact Assessments From Compliance Burden to Strategic Asset: Transforming Impact Assessments into Enterprise Value As artificial intelligence transforms business operations, organizations face growing pressure to systematically evaluate the potential consequences of these powerful technologies before deployment. Regulatory frameworks worldwide are increasingly mandating formal impact assessments for AI systems, particularly those making consequential decisions...

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Building AI Agents, Operations and Supply Chain AI Agents

Maintenance Manager AI Agent

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Building Maya, the Maintenance Manager AI Agent Maya, the Maintenance Manager AI Agent predicts potential equipment failures, optimizes maintenance schedules, and recommends corrective actions to improve equipment efficiency and lifespan. Here is a step-by-step development approach, including the tech stack and code examples. Define Project Scope Objectives Collect Sensor Data: Ingest real-time equipment sensor data...

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Enterprise AI Challenges

AI Expectations

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AI Expectations: Grounding Leadership in Reality Navigate the hype: Manage leadership expectations for successful AI adoption. Managing Leadership Expectations about AI Artificial intelligence has captured the imagination of business leaders worldwide, promising to revolutionize industries and unlock unprecedented growth. However, this enthusiasm can sometimes lead to unrealistic expectations, putting immense pressure on CXOs to deliver...

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Building AI Agents, Operations and Supply Chain AI Agents

Production Scheduler AI Agent

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Building Percy, the Production Scheduler AI Agent “Percy,” the Production Scheduler AI Agent, dynamically adjusts production schedules based on real-time demand, resource availability, and feedback to optimize efficiency and reduce downtime. This guide provides a step-by-step approach, from design to deployment, using modern tools and technologies. Define Project Scope Objectives Collect Real-Time Demand Data: Pull...

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Building AI Agents, Operations and Supply Chain AI Agents

Quality Inspector AI Agent

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Building Quincy, the Quality Inspector AI Agent Quincy, the Quality Inspector AI Agent leverages AI and computer vision to analyze production data, inspect images, detect quality issues, and recommend corrective actions. This guide explains the detailed steps, tech stack, and sample code for building Quincy. Define Project Scope Objectives Collect Production and Image Data: Gather...

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Building AI Agents, Comm and Coll AI Agents

Cultural Ambassador AI Agent

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Building Carmen, the Cultural Ambassador AI Agent Carmen is an AI-driven agent designed to analyze communication patterns for cultural sensitivity, promoting inclusive and effective cross-cultural communication within the organization. This agent helps organizations identify potential cultural sensitivity issues in communication and recommends adjustments to foster better understanding and collaboration. Step 1: Define Project Scope Objectives...

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Enterprise AI Challenges

Intelligent Defense

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Intelligent Defense: Implementing AI-Powered Security Solutions Fighting AI with AI: The new frontier in enterprise cybersecurity. Traditional security approaches have reached their cognitive and computational limits as cyber threats evolve in sophistication, speed, and scale. From deepfake social engineering to autonomous malware, AI-powered attacks operate at machine speed and scale, exploiting vulnerabilities faster than human...

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Enterprise AI Challenges

Industry-Specific AI Talent Strategies

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Industry-Specific AI Talent Strategies Bridge the gap or widen the divide—industry AI readiness is your choice. As artificial intelligence transforms business operations across sectors, a troubling pattern has emerged: while technology companies race ahead with AI implementation, many traditional industries struggle with a widening AI skills gap that threatens their competitive position and long-term viability....

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Building AI Agents, Operations and Supply Chain AI Agents

Risk Monitor AI Agent

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Building Ridge, the Risk Monitor AI Agent “Ridge” the Risk Monitor AI Agent is designed to continuously track disruption risks across the supply chain, analyze their impact, and recommend proactive mitigation strategies. Here is the end-to-end development process, including technologies and sample code. Define Project Scope Objectives Collect risk data: Integrate real-time and historical risk...

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Building AI Agents, R&D AI Agents

Documentation Manager AI Agent

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Building Doc, the Documentation Manager AI Agent Doc continuously monitors product updates, requirements, and releases, automatically adjusting documentation to reflect these changes. It leverages AI for text generation, document analysis, and feedback incorporation to ensure up-to-date, high-quality documentation. Project Scope & Objectives Objectives: Monitor product changes, feature updates, and user requirements. Analyze existing documentation to...

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Enterprise AI Challenges

AI Use Cases

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AI Use Cases: Finding the Perfect Fit Strategic AI implementation starts with identifying the right use cases. Identifying the Right AI Use Cases The allure of artificial intelligence is undeniable, but its successful implementation hinges on identifying the right applications. Enterprises often struggle to pinpoint use cases that align with their specific needs and offer...

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