WELCOME, EXECUTIVES AND PROFESSIONALS.

CEOs and other C-suite leaders seeking to reduce costs know that AI is part of the equation, but in many cases, they struggle to make the math work.

Since the previous edition, we've reviewed hundreds of the latest agentic and gen AI best practices, case studies, and innovation insights. Here’s the top 1%...

In today’s edition:

• BCG reveals where AI is delivering real savings.

• Anthropic: How to work with AI confidently.

• OpenAI shares multi-agent design example.

• Capgemini: A new era of autonomous supply chains.

• Transformation and technology in the news.

• Career opportunities & events.

Read time: 4 minutes.

MARKET & BEST PRACTICE INSIGHT

BCG reveals where AI is delivering real savings

Brief: BCG finds that 93% of executives view AI as key to cost reduction, but only half are hitting targets. From 1,000+ clients, BCG highlights four areas where agentic/gen AI are delivering the greatest cost benefits.

Breakdown:

• Firstly, enterprises generating content or software based on an organization’s knowledge can reduce costs by 20–30% with gen AI.

• Companies with large customer bases and frequent support inquiries can resolve issues and triage others, cutting costs by up to 90%.

• Firms with large supply bases and regular negotiations can find pricing outliers and draft contracts, improving efficiency by up to 50%.

• Finally, businesses with large maintenance or sales teams can use gen AI to enhance individual productivity by 20–30%.

• BCG highlights pitfalls in realizing cost savings: "forgetting to cash the check," tech expense/complexity oversight, poor value tracking.

Why it’s important: Amid a complex economic landscape and rapidly evolving tariff dynamics, cost reduction continues to be a top priority for executives. BCG offers pragmatic guidance on how leading enterprises embed AI into broader cost strategies to drive gains beyond traditional levers.

BEST PRACTICE INSIGHT

Anthropic: How to work with AI confidently

Brief: Anthropic launched a 12-module, 3–4 hour course on what it really means to be ‘fluent’ with AI. At its core is the “4Ds” framework to help people interact with AI in ways that are effective, efficient, ethical, and safe.

Breakdown:

• Three AI interaction modes: Automation, Augmentation, and Agency, where shaping knowledge and behavior helps AI work independently.

• Delegation is the first of the 4Ds of AI Fluency: the skill of deciding what tasks to handle yourself vs. what to delegate to AI systems.

• Description is about clearly communicating your intent to AI. The course includes a module on effective prompting techniques.

• Discernment means evaluating what AI produces, how it works, and how it behaves, so you can improve output quality.

• Diligence is about taking responsibility for your AI collaborations to ensure they’re not just efficient, but also ethical and safe.

Why it’s important: Anthropic's course provides a lasting framework for working with AI systems that goes beyond simple and temporary tips and tricks. It builds confidence in knowing when and how to use AI effectively, along with the ability to evaluate and share AI-assisted work responsibly.

BEST PRACTICE INSIGHT

OpenAI shares multi-agent design example

Brief: OpenAI published new guidance on how to design and implement a multi-agent system with best practices using its Agents SDK and a real-world example of an investment research task.

Breakdown:

• Specialist agents (Macro, Quant, Fundamental) collaborate under a Portfolio Manager agent to tackle complex investment research questions.

• Uses an "agents as tools" approach, the central agent calls other agents as if they were tools to handle specific subtasks in generating answers .

• For instance, a user query “How would an interest rate cut affect GOOGL?” routes to the manager agent, which delegates to specialist agents.

• Each specialist agent leverages tools such as custom Python functions, Code Interpreter, WebSearch, and external MCP servers.

• OpenAI shares design best practices to improve research quality, speed up results, and make systems easier to extend and maintain.

Why it’s important: This example shows how to combine agent specialization, parallel execution, and orchestration using the OpenAI Agents SDK, offering a clear blueprint for building effective multi-agent workflows for research, analysis, or other complex tasks requiring expert collaboration.

BEST PRACTICE INSIGHT

Capgemini: A new era of autonomous supply chains

Brief: Capgemini published a 16-page report on autonomous supply chains, outlining levels of autonomy, the highest-value opportunities, and its current efforts to reduce supply chain disruption using agentic AI.

Breakdown:

• Capgemini created a six-level supply chain autonomy framework, modeled after autonomy scales used in the self-driving vehicle industry.

• Leaders like Amazon have been at the forefront automating demand planning, replenishment and procurement across millions of SKU’s.

• Capgemini sees these best-in-class supply chains predominantly at Level 2 with heavy automation while shifting to Level 3 with agentic AI.

• Currently, the most valuable use cases are in information collation, summarization, insight generation, and AI-guided user journeys.

• Capgemini shares a 3-step agentic AI strategy, and its work on a multi-agent AI to “sense and respond” to supply chain disruptions.

Why it’s important: Supply chains have evolved from the lean-agile era (1980s–2000s) to the digital era (2000–2024). The rise of agentic AI in 2025 marks the start of a new phase, with the potential to reshape operations and business models, just as previous transformation eras once did.

McKinsey shed over 10% of its workforce in a 2-year profitability drive, amid slowing growth, legal challenges, and the rise of generative AI.

BCG showed how foundation models bring 25 years of NASA data to life and called for optimism amid "AI doom and gloom."

Andreessen Horowitz shared how agents will handle payments and how Generative Engine Optimization (GEO) is rewriting the rules of search.

DHL released 30 slides on how AI supports every stage of the supply chain, highlighting its vision, approach, and transformation progress.

McKinsey outlined how medtech leaders can unlock gen AI potential by targeting key domains, and aligning business and tech teams.

Cisco’s 22-page report shows how agentic AI will transform customer experience while maintaining the enduring value of human connection.

Anthropic’s CEO warned AI could cut 50% of entry-level white-collar jobs and push unemployment to 20% in the next five years.

DataToDollars presented 28-slides at Capgemini's Intelligent Industry Summit on the “new Palo Alto” and Europe’s AI trajectory.

Salesforce acquired cloud data management firm Informatica for $8B, strengthening the infrastructure powering its agent capabilities.

Mistral announced an Agents API for enterprise apps, introducing connectors for coding, web search, multi-agent orchestration, and more.

Perplexity introduced Perplexity Labs, enabling users to generate reports, dashboards, web apps, and more in minutes.

DeepSeek released a “minor trial update” to its R1 model, bringing upgraded reasoning, longer thinking, and other improvements.

Meta is reportedly splitting its AI org into two teams: one focused on AI products, the other on AGI foundations to help accelerate progress.

Nvidia is launching a new AI chipset for China at a significantly lower price, while ensuring compliance with U.S. export restrictions.

Anthropic announced the launch of its new Voice Mode for its Claude mobile apps, making it one of the last major labs to add spoken conversation.

xAI struck a $300M deal with Telegram to bring its Grok chatbot to over 1B users this summer, with a 1-year term and revenue-sharing agreement.

CAREER OPPORTUNITIES

OpenAI - Executive Programs Lead

Citi - Head of Enterprise AI

New York Life Insurance - Head of AI

EVENTS

Everest - Agentic AI in Banking - June 5, 2025

Capgemini - Gen AI Era Workforce - June 11, 2025

Sequoia - An Evening with Sierra in London - June 17, 2025

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