In this session, we'll cover:

• Real use cases where AI can support your day-to-day operations work
• How to turn those use cases into automated, repeatable workflows
• How to build agentic versions that run on their own like clockwork

Whether you're managing processes, coordinating across teams, or just trying to get more done with less, this session will give you practical insights you can apply right away.

April 22nd at 9:00 AM PT / 11:00 AM CT / 12:00 PM ET
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• Anthropic shipped three enterprise products in one week: Claude for Word entered beta (completing full Office integration with cross-app context and native tracked changes), Claude Managed Agents launched at $0.08 per runtime hour, and Cowork went to general availability on macOS and Windows with enterprise access controls. (Anthropic: Claude for Word, Anthropic: Managed Agents, Anthropic: Cowork)

• Google merged NotebookLM into the Gemini app and began rolling out Gemini Personal Intelligence globally, which can pull from your Gmail, Google Photos, Search history, and YouTube to answer questions contextually. Gemini is quickly becoming a unified research assistant across Google's entire ecosystem. (Google, The Verge)

• OpenAI is shifting its enterprise distribution to Amazon after its new revenue chief said the Microsoft partnership has "limited our ability to meet enterprises where they are," while also launching a $100-per-month ChatGPT Pro tier with 5x usage limits — a direct response to Anthropic's Claude at the same price point. (CNBC, TechCrunch)

• Meta launched Muse Spark, its first proprietary AI model and a major break from its open-source Llama strategy, developed under Alexandr Wang after Meta's $14.3 billion deal with Scale AI. Meta's stock rose 6.5% on the news. (Meta, TechCrunch)

• Amazon CEO Andy Jassy's annual shareholder letter revealed AWS AI is generating over $15 billion in annualized revenue, calling out partnerships with Nvidia, Intel, and Starlink as infrastructure bets driving the growth. (Amazon)

• OpenAI acquired Hiro, an AI personal finance startup, signaling expansion beyond the chat interface into consumer financial tools. (TechCrunch)

• Florida became the latest state to open a formal investigation into OpenAI, part of a growing wave of state-level AI regulatory scrutiny that could affect how enterprises deploy ChatGPT for sensitive workflows. (The Hill)

• Anthropic's annualized revenue crossed $30 billion, surpassing OpenAI's $25 billion for the first time, with more than 1,000 companies now spending over $1 million per year on Anthropic's products — up from $9 billion at the end of 2025. (Axios)

Three findings worth knowing this week.

• PwC surveyed 1,217 executives across 25 sectors and found 74% of AI's economic value flows to 20% of companies. The top performers let AI make decisions autonomously at 2.8x the rate of peers while also being 1.7x more likely to have a responsible AI framework in place. (PwC AI Performance Study, April 2026)

• Stanford's 2026 AI Index found the top models now score above 50% on Humanity's Last Exam — up from 8.8% a year ago — while global AI investment hit $581 billion in 2025, more than doubling the prior year's $253 billion. (IEEE Spectrum / Stanford HAI, April 2026)

• Deloitte surveyed 3,235 leaders across 24 countries: 66% report productivity gains from AI, but only 20% have mature governance models for autonomous AI agents. The number of companies with 40%+ of AI projects in production is set to double within six months. (Deloitte State of AI, 2026)

[Tell AI what you're dealing with. This could be a project, a decision, a problem, something you need to write, or something you're stuck on. Include whatever you know: deadlines, who's involved, what you've already tried, what's making it hard. If you're not sure what you need yet, just describe the situation and say you're not sure.]

Before you start solving, drafting, or producing anything — figure out what I actually need. It might be one of these: something written or built for me, help thinking through options, research I don't have time to do, a gut-check on my thinking, help figuring out what I'm even trying to do, or a plan to get unstuck. It might be something else, or more than one of these. Name it, tell me why that's the right starting point, and tell me what I'd miss if we skipped straight to an answer. If something's missing that would make your help significantly better, ask me — but ask specific questions, not "can you give me more context." If I seem to be making an assumption I haven't examined, name it. If I'm not, don't manufacture one. Match my language. If I'm being casual, be casual. If I'm being precise, be precise. Don't add jargon I didn't use. If what I described is simple and clear enough to just handle, skip all of this and do it — but tell me you're skipping it and why. If it's complex or ambiguous, give me your read on the situation and what you'd recommend before starting the real work.

Return it as: what you think I need + why + what you need from me + then wait for me to confirm.

In any organization, knowing who to go to is half the job. You learn that Sarah is faster on spreadsheets, Marcus gives the most honest feedback, and you never ask the whole team when you just need one person's opinion.

I've started thinking about AI the same way. Not "should I use Claude?" but "which Claude?" Claude Desktop is where I go for long research sessions where I need to steer the conversation. Cowork handles the tasks I want running in the background while I do other things. Claude Code is for anything that needs to read, write, or build across files. Claude for Chrome is my quick-draw — summaries and draft replies without leaving the tab.

Once you stop treating every interface the same, something clicks. You start noticing which version fits which job, how much oversight each one needs, and which form consistently delivers the best output for that type of work. That's when you stop fighting the tool and start actually delegating to it.

It's not that different from managing a team. You wouldn't hand every task to the same person. Don't hand every task to the same window.

Kiingo helps mid-market companies figure out what actually works with AI and stop spending time on what doesn't. Training, strategy, implementation.

If your team is using AI but you're not sure it's moving the needle, that's exactly the conversation we have: kiingo.com/contact