Your most valuable data lives inside the tools you use every day — your CRM, email, shared drives, and calendars — but most AI can’t see any of it. In this free, practical session, Ross Hartmann (Founder & CEO, Kiingo AI) demos how to connect AI directly to those systems so it answers with your real data and runs real tasks across them, live. No coding required.

Tuesday, June 30, 2026 · 1:30 PM ET / 12:30 PM CT / 10:30 AM PT · 60-minute live session with a live demo.
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• OpenAI had a busy week extending its reach on several fronts. It struck a deal with Visa to let ChatGPT agents make real purchases on your behalf — within limits you set (spending caps, approved merchants, required approvals), using protected one-time credentials (the card number is never shared) and fraud monitoring — and agreed to acquire Ona (formerly Gitpod), whose secure cloud environments let its Codex agent keep working on long jobs after you close your laptop. It also opened access to its models and Codex through existing Oracle cloud contracts, and launched a $150M Partner Network to certify 300,000 consultants by year-end — with Accenture, Bain, BCG, McKinsey’s QuantumBlack, and PwC — a direct answer to Anthropic’s Claude Partner Hub and a sign both labs now compete on implementation as much as on model quality. (Visa, Axios, OpenAI, SiliconANGLE)

• Tata Consultancy Services and Anthropic launched a global partnership to scale Claude across regulated industries. TCS becomes a Global Premier Partner, is rolling Claude out to 50,000 of its own employees, and is standing up a dedicated business unit to build Claude-based solutions for clients in finance, healthcare, life sciences, and the public sector. The pitch: most AI projects in regulated sectors stall at pilot, and implementation muscle is the fix. (TCS, Business Standard, Yahoo Finance)

• AI took a top-tier seat at the G7. France seated the CEOs of OpenAI, Anthropic, and Google DeepMind alongside heads of state in Evian, producing voluntary commitments and a minors-online agreement. Canada’s PM Mark Carney called over-reliance on a single AI model a “2008 moment” and pushed allies to diversify. The new enterprise buying question: can this be switched off? (QZ, The Next Web)

• SpaceX pulled off the largest IPO in history, then four days later agreed to buy Cursor-maker Anysphere for $60 billion in all-stock. Its June 12 Nasdaq debut raised a record $85.7 billion and closed up 19% (then rose another 20% on June 15), valuing SpaceX above $2 trillion and handing it the stock currency to fund the deal — folding the fast-growing AI coding tool into Elon Musk’s AI empire. (CBS News, CNBC)

• A German court held Google directly liable for false answers its AI Overviews produced, ruling that AI-written summaries count as Google’s own statements rather than neutral search results, and ordering it to stop repeating false claims about two publishers. It’s one of the first rulings to decide who’s responsible when a generative AI system gets it wrong: the company that built it. (The Next Web, The Decoder)

• State AI rules keep fragmenting. As its session closed, New York sent seven AI bills to the governor (including a high-risk audit bill and a ban on AI chatbot toys); Rhode Island banned AI therapy chatbots; and Colorado’s governor vetoed a bill restricting algorithmic pricing. For multistate businesses, compliance is becoming a state-by-state patchwork rather than one federal standard. (Fortune, Transparency Coalition)

• DeepSeek raised more than $7.4 billion at a valuation above $50 billion — its first outside funding, led by Tencent and battery giant CATL. The deal keeps founder Liang Wenfeng in full control: investors get no say in decisions and can’t sell their stake for five years — one of the largest rounds any AI company has closed. (SiliconRepublic, The Information)

• Snap unveiled standalone AR glasses called ‘Specs,’ priced at $2,195 and shipping this fall. They let developers build augmented-reality apps using AI coding tools (including Claude Code, Codex, and Cursor), and put a consumer AR headset on the market ahead of Apple — though analysts question the price for Snap’s younger audience. (CNBC, UploadVR)

• Microsoft’s 2026 Work Trend Index — 20,000 AI users across 10 countries plus billions of Microsoft 365 signals — found organizational factors drive more than twice the AI impact of individual ones (67% vs. 32%). Culture, manager support, and talent practices — rather than employee mindset — separate the companies pulling ahead. (Microsoft, May 2026)

• KPMG’s Q1 2026 Global AI Pulse, a survey of 2,110 senior leaders across 20 markets, found AI agents moving into real production: 32% are deploying and scaling them, and another 27% are orchestrating multiple agents across the business. Separately, 74% say AI stays a top investment priority even if a recession hits in the next year. (KPMG, March 2026)

• Goldman Sachs surveyed 1,256 small-business owners and found 76% now use AI — with 84% citing higher efficiency and productivity, and 87% saying AI augments rather than replaces their employees. Only 14% have fully embedded it in core operations: the gap between using AI and building around it. (Goldman Sachs 10,000 Small Businesses, Jan–Feb 2026)

The hardest thing for a smaller company to come by is a room of seasoned advisors to pressure-test a decision before you commit to it. Talent and tools you can buy; a candid, expert bench is harder. AI can convene that room for you. Describe what you’re weighing, and have it assemble a panel of sharp, specific advisors who each react in character, disagree with each other, and surface what you can’t see from inside your own head.

The Advisory Panel
I want a panel of expert advisors to pressure-test [my plan / decision / offer] before I commit. The situation: [describe in a few sentences — what I’m considering, why, and what I’m worried about].

Convene four distinct advisors, each with a sharp point of view:
• A skeptical CFO focused on cash, risk, and the downside.
• A growth-minded operator focused on speed and upside.
• My most demanding customer, focused on whether this actually helps them.
• A competitor’s strategist, focused on how they’d react to or exploit this.

Have each react in their own voice — where they’d push back, what they’d warn me about, what they’d be excited by. Then:
1. Name the one concern they’d ALL share.
2. Name the sharpest disagreement between them, and what it hinges on.
3. Give me the single most important question I need to answer before moving.

Return as: four short advisor takes, then the shared concern, the key disagreement, and my one must-answer question.

Here’s the situation: [paste yours]

Swap in whoever matters for your call — a regulator, a board member, the partner whose buy-in you need. The disagreement is what’s worth your attention. Where two smart advisors split is exactly where your real decision lives. It’s also a clean demo of role-priming: telling AI who to be before you ask the question.

I play guitar and drums, but the way I actually play is with loops, pedals, and a board of triggers, stacking one part on top of another until a song builds itself in real time. The best moments are always the ones I didn’t plan. A weird chord, a fill that lands wrong in exactly the right way, two loops colliding until suddenly there’s a song in the room.

And then it’s gone. That’s the cruel part of improvising. The magic shows up uninvited and leaves the same way, and for years my best ideas had a half-life of about thirty seconds, because stopping to write down what just happened means killing the flow that created it.

AI quietly became the net under all of it. I can dump a half-formed idea in whatever broken shorthand falls out of me in the moment, hum the structure, describe the texture, name the three loops in the order they stacked, and trust it’ll be organized and waiting when I come back for it. I don’t have to choose anymore between staying in the moment and keeping it.

That’s the part that carries over to work. Everybody gets their best ideas at the worst possible time to write them down, mid-call, mid-task, halfway out the door. The quiet superpower of AI is making the cost of catching your own ideas almost zero, so the good ones stop slipping away. I’ve lost enough good riffs to know what that’s worth. Turns out I was losing just as many ideas at my desk. I just never heard those ones disappear.

The strategy decks keep stacking up. The pilots keep launching. The way the work actually gets done? Unchanged.

We help mid-market companies get past the planning and into implementation — starting with the two or three places where AI actually moves the needle.

Want to see what that could look like for your team? Get in touch.