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The next frontier isn’t who has the most AI, it’s who makes the smartest decisions about how AI and humans work together.

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:

• McKinsey: Rethinking AI decision-making.

• Accelerating transformation with agentic AI.

• How Anthropic teams use Claude Code.

• BOND Capital: Artificial Intelligence Trends.

• Transformation and technology in the news.

• Career opportunities & events.

Read time: 4 minutes.

BEST PRACTICE INSIGHT

McKinsey: Rethinking AI decision-making

Brief: As agentic AI starts to reshape how decisions are made at scale, McKinsey encourages organizations to rethink governance, trust, and operating models, or risk falling behind in the next frontier of AI transformation.

Breakdown:

• Organizations should treat AI agents like corporate citizens: governed, accountable, and expected to deliver value, just like human employees.

• Enterprises need to rearchitect how decisions are made and work is done, enabling humans and AI agents to collaborate in complementary ways.

• McKinsey provides a decision-making framework that classifies decisions based on risk and the level of judgment required.

• Low-risk, low-complexity tasks, like verifying account details or checking claim status, are ideal candidates for full automation.

• High-risk, high-judgment decisions, like fraud detection or exception handling, still benefit from human oversight, assisted by AI copilots.

Why it’s important: To unlock the full value of AI, enterprises will need to shift from task automation to decision design, focusing not on what can be automated but on which decisions should be. This requires AI agents with defined roles, accountability, and performance metrics, embedded into the operating model.

BEST PRACTICE INSIGHT & CASE STUDY

Accelerating transformation with agentic AI

Brief: Alvarez & Marsal published a report on how agentic AI is helping enterprises unlock differentiation via faster delivery cycles, quantifying time and cost savings in the context of a recent client implementation.

Breakdown:

• Alvarez & Marsal shows how agentic AI is transforming the SDLC, from requirements and design to testing and deployment.

• Picture a test agent validating output from a build agent, then notifying a debugging agent, which corrects the issue and triggers a retest.

• Alvarez & Marsal applied an agentic SDLC approach across seven portals of a Loan Origination System (LOS) in a recent client engagement.

• Using automated prototyping, dynamic test generation, and more, they cut dev timelines from 18 to 12 months and reduced overall costs by 63%.

• An early go-live unlocked INR 9.6 crore ($1.15M USD) in value, while total estimated project savings reached INR 12.7 crore ($1.52M USD).

Why it’s important: In a world where speed increasingly defines success, time-to-market can be the real differentiator. Agentic AI is transforming the SDLC by embedding increased automation at every stage, reducing turnaround time, driving standardization, and aligning delivery with business objectives.

BEST PRACTICE INSIGHT

How Anthropic teams use Claude Code

Brief: Through interviews with its own Claude Code power users, Anthropic shared insights on how different teams leverage Claude Code, revealing 50 key use cases, 40 impacts, and 30 top tips for enterprise adoption.

Breakdown:

• The report covers how Claude Code powers teams across product design, product development, data science, marketing, legal, and more.

• Claude Code gives developers an “augmented workflow” (faster execution) while non technical users get the “holy crap, I’m a developer” moment.

• In product design, for instance, even non-devs use Claude Code to bring their vision to life without extensive back-and-forth with engineers.

• Mockup images pasted into Claude Code become functional prototypes that engineers can rapidly understand and iterate on.

• This eliminates the traditional cycle of static Figma designs that required extensive explanation and translation to working code.

Why it’s important: With AI coding proving impactful for many enterprises, and Claude Code widely recognized as a best-in-class capability, these insights reveal how Anthropic's tech/non-tech teams leverage it to automate, build, and bridge skill gaps that once limited productivity.

MARKET INSIGHT

BOND Capital: Artificial Intelligence Trends

Brief: Bond Capital published a 340-page AI trends report authored by Mary Meeker, a prominent American venture capitalist and analyst, well-known for her influential Internet trends reports published from 1995 to 2019.

Breakdown:

• AI adoption is unprecedented. ChatGPT reached 800M weekly active users in just 17 months. 8x growth, faster than any tech in history.

• AI usage has gone global. 90% of ChatGPT users are now outside North America, achieved in 3 years (it took the internet 23).

• Model compute costs are soaring, but per-token inference costs are falling fast, driving rapid adoption among developers.

• Top AI firms like OpenAI and Anthropic report strong revenue but face multi-billion-dollar losses due to costs and intense competition.

• AI job postings are up 448%, while traditional IT listings dropped 9%. AI isn't just reshaping tech, it's redefining skills across industries.

Why it’s important: This AI trends report is regarded by many as the best released to date. Packed with charts on users, usage, revenue, and spending, all trending upward, it shows how AI is reshaping everything from daily life to business and global geopolitics.

McKinsey shared how to address two issues derailing gen AI implementations and how the firm is leveraging AI to draft client proposals faster.

BCG explored how CMOs are scaling gen AI, how finance leaders get ROI from AI, and shared a 53-slide playbook on Global Capability Centers.

Cognizant reduced document processing time from 30 mins to 30 secs using gen AI and released a 31-page report on AI in non-bank mortgage lending.

PwC's 2025 Global AI Jobs Barometer revealed a 66% faster skill change in AI-exposed jobs, up from 25% last year, using data from a billion job ads.

Capgemini explored agentic AI’s layered architecture, design patterns, and why it's the beginning of the end for the traditional SDLC.

IDC published a 12-page AI GTM strategy guide, asserting that every product is now AI-powered, and success depends on who markets it best.

Accenture released a 14-slide report on building resilient relationships between consumers, brands and AI in times of uncertainty.

KPMG shared a 28-slide report on the ‘Agentic AI Advantage’, explaining what it is, what it enables, and how organizations can get started today.

OpenAI added ChatGPT business features including new cloud services integrations, meeting recording, and custom enterprise connectors.

Google unveiled an upgraded preview of Gemini 2.5 Pro with gains in STEM, reasoning, coding, extending its lead on leaderboards like LMArena.

Anthropic reached $3B in annualized revenue, tripling since Dec 2024, fueled by enterprise demand for its code generation capabilities.

Apple's upcoming WWDC may underwhelm on AI, with reports calling it a "gap year" ahead of bigger 2026 plans, per Bloomberg’s Mark Gurman.

Mistral released Mistral Code, a coding assistant that blends multiple models to help enterprises complete development tasks faster.

Anthropic debuted Claude Gov, an AI model variant designed for U.S. defense agencies with guardrails for secure classified tasks.

Meta signed a 20-year deal with Constellation Energy to leverage nuclear power in meeting its rising energy needs from AI infrastructure.

ElevenLabs rolled out Conversational AI 2.0 with advanced turn-taking, multilingual detection, and HIPAA-compliant enterprise features.

CAREER OPPORTUNITIES

Deloitte - AI Innovation Leader

Wells Fargo - AI Insights Executive Director

Anthropic - Corporate Development Lead

EVENTS

Gartner - Agentic AI Roundtable - October 8, 2025

Anthropic - Scaling Development with Agents - June 18, 2025

Wipro - Driving AI Cost Efficiency - July 17, 2025

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