The Stupid Work: Where VC Analyst Time Actually Goes Across multiple calls with Venture Capital and Private Equity fund teams, the consistent finding is that writing the IC memo is not where analyst time goes – an estimated 30-40% of investment team hours disappear into logging, chasing, and reformatting instead. Buying another CRM doesn’t fix this, because CRMs log relationships,
We Paste Everything Into Claude: The Data Security Problem in VC Diligence Nobody Talks About Analysts at VC and PE funds routinely paste confidential term sheets, cap tables, and financial models into personal ChatGPT or Claude accounts, because it works and nobody told them not to. The risk isn’t that these AI tools are unsafe – most enterprise tiers are
The world’s most known consulting firm just stopped selling consulting. Three days ago, McKinsey announced a partnership with AppliedAI to deliver agentic AI workflows in regulated industries. Not a new practice. Not more consultants. A platform, Opus, that turns McKinsey’s transformation method into a repeatable, governed execution engine. Their own research sets the context: 64% of organisations are experimenting with
Anthropic just filed for a $1 trillion IPO. It has 300,000 enterprise clients. Most of them also have an IT services contract with TCS, Infosys or Wipro. Something has to give. I was talking to a consulting leader last month who told me their biggest competitor isn’t another IT firm anymore. It’s the fact that their client’s product team had
Your Client Just Got a New Team Member. It Works 24/7 and Doesn’t Invoice. Last week, Google announced Gemini Spark. It’s a 24/7 AI agent that runs on Google Cloud even when your laptop is off. It connects to Gmail, Docs, Sheets, Calendar. It monitors inboxes, synthesizes meeting notes, drafts emails, completes multi-step tasks. Autonomously. Continuously. Sundar Pichai called it:
Services revenue leaks. Project ends. Client pauses. Budget gets cut. Stakeholder changes. You’re back to hunting the next SOW. You’re not building a business. You’re bailing with a bucket. Here’s what that looks like at scale: Every April, you start at zero. Again. Every quarter, pipeline anxiety. Again. Every year, growth means more people, more proposals, more delivery risk. Again.
AI startups are spending millions trying to get in front of your clients. Cold outreach. Conference sponsorships. SDR teams burning through sequences. Analyst relations. Thought leadership campaigns. All of it, just to get the meeting you already have. They’re fighting for the room you’re already sitting in. Think about what that means. The trust took them 18 months to
Every service firm is sitting on a goldmine they can’t see. Not their clients. Not their team. Not their reputation. The knowledge trapped inside their delivery. The framework your team rebuilt for the 40th client. The checklist that exists only because your longest-serving employee memorized it. The decision tree that lives in your best consultant’s head and nowhere else.
The concept of an AI Minister might sound like science fiction, but the role is quickly becoming a global necessity. Governments are already using AI for everything from predicting crime hotspots to streamlining benefit claims. But this technological sprint has created a regulatory chasm. We’re deploying powerful tools without a rulebook, which is why the creation of a cabinet-level AI
Not wrong because the analyst is careless, wrong because TAM sizing is genuinely hard to do rigorously under time pressure. Walk into any investor meeting or board review and you’ll find a market sizing slide. The number looks authoritative, backed by a named research firm, expressed to three significant figures, sometimes accompanied by a satisfying upward-sloping chart. And yet, more
How to Stay Ahead with Strategic Competitive Intelligence Global expansion is a bold move. It’s a statement: We’re ready to grow. We’re ready to compete. But with every new market, the pressure rises. You’re no longer competing on just product features. Now, it’s pricing models tailored to different economies. It’s regional competitors you’ve never heard of. It’s unfamiliar regulations, buyer
Let’s be honest: market research is supposed to guide big decisions, not delay them. Yet here we are… buried under a thousand tabs, half-read reports, and five conflicting data points, all saying different things. Welcome to the chaos of modern research. The Problem Isn’t Lack of Data. It’s Too Much of It. Today, data is everywhere. Reports. Analyst briefings. Newsletters.
© 2026 by Prodzen | All Rights Reserved.
