How to use GenAI for diligence: 5 ways

🤝 𝗡𝗼 𝗼𝗻𝗲 𝗴𝗼𝗲𝘀 𝗶𝘁 𝗮𝗹𝗼𝗻𝗲 𝗶𝗻 𝗔𝗜. PE firms are increasingly bringing in external partners — especially strategy consultancies and implementers — to bridge the gap between vision and execution. Building in-house is important, but speed to value often depends on the right partner ecosystem. 💬 Who are you leaning on to accelerate AI across your portfolio? #AIExecution #PartnershipStrategy #DigitalAcceleration #PEGrowth #ClaymorePartners

𝗬𝗼𝘂𝗿 𝗽𝗿𝗼𝗽𝗼𝘀𝗮𝗹 𝘁𝗲𝗮𝗺'𝘀 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗯𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸 𝗶𝘀𝗻'𝘁 𝘁𝗵𝗲𝗶𝗿 𝘁𝗮𝗹𝗲𝗻𝘁—𝗶𝘁'𝘀 𝘁𝗵𝗲𝗶𝗿 𝗽𝗿𝗼𝗰𝗲𝘀𝘀. While your team spends 40+ hours manually shredding an RFP, building a compliance matrix, and staring at a blank page for the technical volume, your competition is already on their Pink Team draft. They're not faster because they're better. They're faster because they've automated the grunt work. Awarded AI helps expedite proposal development and allows your experts to focus on what matters: strategy, innovation, and crafting a winning narrative. Don't let outdated processes dictate your Pwin. #AwardedAI #GovCon #ProposalManagement #AI #BusinessDevelopment #RFP #WinningProposals

🧠 Just attended a thought-provoking session at the #SpendfloAISummit featuring CJ Gustafson and Siddharth Sridharan, Diving into how agentic AI is reshaping the future of finance. The discussion cut through the noise to explore: • How to distinguish real agentic AI from hype and “agent-washing” • Where agentic AI truly outperforms traditional automation. • What governance and trust look like when agents start making decisions • How finance orgs might evolve as agents take on more complex workflows 💬 It was a powerful conversation for CFOs, operators, and anyone curious about how AI is changing finance—not just in theory, but in practice. My key takeaways: ✅ Spotting high-impact use cases. ✅ Rethinking finance roles for an AI-driven future . ✅ Building trust in multi-agent systems . ✅ Preparing for what’s next by 2028. Grateful to have been part of this session—excited to apply these insights in my own work! #AgenticAI #FinanceTransformation #AIinFinance #SpendfloAISummit.

Had the pleasure of doing a wide ranging interview with CTO Magazine on all things #enterpriseAI and how we think about investing behind this wave at VMG Partners. (Article link in comment below) My biggest takeaway from the last 1.5 years of rethinking the application layer? We strive to work with #AI founders with #FounderMarketFit because they understand workflows, escalations, and operational context. Because architecturally, a defensible AI business needs to excel in 4 areas: data, model, workflow, and application. Founders with domain experience can build product that orchestrates and optimizes across those layers. And help enterprise navigate their biggest constraint for adoption: #changemanagement.

There’s a Dave Matthews Band song, “The Space Between.” That’s where Cornerstone AI operates: the space between data acquisition and data analysis. It’s less visible from the outside, but it shows up on every project timeline and it’s always longer than anyone wants. • Make it faster: months → weeks and weeks → days • Make it more robust: LOINC coverage 20–30% → 80–90% • Make it reliable & auditable: software + experts = defensible, traceable results I spoke with Danny Lieberman on Life Sciences Today about how we’re turning this “space between” into a strategic advantage. Link in comments.

I’m excited to share how Bullpen is raising the bar on reliability and accuracy for our customers. Investment professionals spend an estimated 60–70% of project time proofing and validating AI outputs, a much-needed effort given AI's inference nature, and we are dedicated to changing this. In our new post, we discuss Bullpen’s revamped diligence and validation system, which is designed to make AI-generated finance work products reliable and decision‑ready. https://lnkd.in/eUBBzUAC

Just finished listening to Hemant Taneja (CEO, General Catalyst) on 20VC with Harry Stebbings, and his point on AI adoption couldn’t be clearer, To make AI actually work, companies need all these four: 1️⃣ Data infrastructure that’s truly ready for AI 2️⃣ Models trained on your business; the context matters 3️⃣ Workforce transformation; yes, the org chart has to change 4️⃣ Commitment from the top; real courage, not lip service Here is the truth from the field. Most companies are doing the exact opposite: ❌ Piling AI on broken data environments ❌ Using generic, off-the-shelf models that don’t understand their business ❌ Pretending workforce transformation isn’t needed ❌ Executives chasing PR buzz instead of making the hard decisions Investments are going in a different direction: ~80% of AI VC funding goes to the application layer, and only 20% to non-hardware data infrastructure software (Perplexity Research). The money must follows value, not hype. Yet, almost 90% of them do not see production. AI doesn’t fail because it’s impossible. It fails because leaders keep choosing shortcuts over foundations. I’m tired of saying it. I’m tired of hearing it. But this is the trench I’ll die in. Then there is a savage team at One Ring Labs obsessed with fixing it, all in one solution. *spitting blood*

AI as a ‘Second Brain’ for Business Analysts —Lasni Rajapaksha, Head of Customer Success at Codimite , explores how artificial intelligence can amplify analytical thinking, streamline workflows, and enhance decision-making. #SLBACON25 #iibacolombo #insights2impact

Humans Don’t Belong “In the Loop.” They Belong In Command. In media analysis, speed matters, but accuracy pays the bills. Our latest blog explains why Human-in-Command is the future of AI-powered intelligence, and how Infoesearch blends human judgment with machine precision to deliver accuracy, accountability, and trust. Read the full post: https://lnkd.in/eeDgs_eC Suresh Reddy Aravind Rao Todd Murphy #HybridWorkflow #AIMediaAnalysis #SocialListening #ReputationManagement #MediaMonitoring #MediaAnalysis #MediaIntelligence #PRAnalytics #BrandInsights #BrandReputation #MarketingInsights #DataDrivenPR

This article outlines our foundational approach to better MIPO and MAPO. Our media intelligence process outsourcing and media analysis process outsourcing are greatly enhanced through AI routines where humans control the processes to ensure valid results. Rather than just spot checking results as an overview, Infoesearch uses command and control throughout the entire process so that no flaws are introduced along the way. So, while saving our clients 40 to 60% of their current costs, we can increase the accuracy and speed within our 24/7 processing. It’s really quite amazing.