Igor Buinevici

Most companies think their AI problem is the model. It's not. It's the documentation the model runs on. Outdated. Inconsistent. Written once, then never touched again. I hit this wall while scaling my own team. The knowledge base kept growing: SOPs, onboarding guides, release notes, process docs. And someone always had to keep it clean: Rewriting for clarity. Summarizing long articles. Making every page sound like it came from the same company. None of it was hard. It was just endless. So I let Document360 AI Writing Agent take the first pass. A) It drafts full articles from a prompt, a video, or a rough note. B) It improves readability and holds one consistent tone across the entire knowledge base. C) It auto-generates summaries, suggests titles, and writes SEO descriptions. And here's the part that actually mattered: It didn't just improve the documentation. It gave the time back. Instead of polishing docs all afternoon, My team spent that time on the work that actually moves the business: Talking to customers, shipping, and deciding. That's the real ROI of AI at work. Not replacing your experts. Freeing them to do the work only they can do. The repetitive layer is now automated. The strategic layer is where you win. Do give it a try using the free trial link: https://lnkd.in/dP2ciP_a

You don’t have a scaling problem. You have a paperwork problem. Everything works fine… until volume hits. More customers. More forms. More signatures. And suddenly the cracks show: A) The same data gets entered multiple times B) PDFs stop matching the original inputs C) Compliance risk starts creeping in D) Ops teams end up fixing workflows manually Anvil is built to remove that friction: Instead of juggling forms, PDFs, and signatures across disconnected tools, you build one structured workflow: 1. Collect data once 2. Automatically populate every document 3. Route it exactly where it needs to go 4. Capture e-signatures in the same flow 5. Keep everything consistent, auditable, and scalable The new AI Pack takes it even further: A) Automate document processing with AI. B) Handle new document types without friction. C) Bring your own field schema with AI Schema Mapping. D) Let Anvil map extracted fields directly into your existing data model. So onboarding new document types doesn’t mean rebuilding anything. It just fits into what you already have. Faster setup. Cleaner data flow. Less operational drag. No manual fixes. No fragmented systems. No hidden errors at scale. The real shift is simple: Stop treating paperwork as manual work. Start treating it as a programmable workflow. If I were building today, I’d start with Anvil. Because once paperwork breaks at scale, it becomes very expensive to fix later. Check it out - link in the comments. P.S. Are you still relying on manual paperwork? ♻️ Repost so more teams can streamline their workflows. #AnvilPartner

Most people think AI makes software simpler. I think the more important point is different: AI makes deep software usable. That changes who wins. For the last decade, simple tools had an advantage because people had to learn everything manually. But if the product can help you set things up, then depth stops being a weakness. It becomes the advantage. That is why this Fillout launch matters. A powerful form builder with years of logic, routing, responses, and follow-up features becomes much easier to use when you can just describe the outcome. AI does not make every tool equal. It makes the most capable tools easier to access. Big difference.

Finance teams don’t struggle with data availability. They struggle with accessing it fast enough to act on it. In my experience working around finance workflows, The bottleneck has never been “what data do we have”, But “how many steps it takes to get an answer”. Spendesk AI Connect changes that entirely. It is a new MCP (Model Context Protocol) layer that connects: Live Spendesk data directly into AI tools like Claude, Dust, or ChatGPT. For the first time, finance teams can ask questions in plain language, And get real-time answers grounded in actual spend data. No exports. No dashboards. No waiting. Here is what that looks like in practice: 1. Ask a question the way finance actually works “Which invoices are still pending approval?” “Compare marketing spend between Q1 and Q2.” “Where is cash currently allocated across entities?” 2. Get answers inside the tools you already use - or schedule them to arrive when you need it most. Instead of switching between dashboards, exports, and spreadsheets, The answer comes directly inside your AI workflow. 3. Keep finance control intact AI Connect is read-only. It surfaces insights from Spendesk, but does not execute payments, approvals, or changes - yet. Rumour is write-capabilities are just around the corner. 4. Shift month-end from reporting to understanding Less time assembling numbers. More time interpreting what they actually mean. MCP is easiest to understand as the USB port for AI. Before USB, every device needed its own connector. MCP standardises how AI connects to live systems. It lets tools like Claude securely access relevant data in real time. Also - it came just in time. Spendesk research indicates that: AI tool spend is up 50x since 2022, with 281% YoY growth in early 2026. Today, AI tools make up 38% of all tech spend in Spendesk. Finance teams already work in AI tools. Now their finance data can sit inside them. Spendesk is building connected spend intelligence, Used by teams like HelloFresh, PayFit, Deezer, Sezane, and others across Europe. Finance teams no longer wait for reports to get answers. P.S. Do you want your finance data to answer questions instantly? ♻️ Repost so more people can get faster and better answers from their financial data. #SpendeskAIConnect

One decision from someone else, Can change the entire direction of your life. Not a promotion. Not a perfect CV. Not a flawless interview. Just one leader who sees something in you before you can see it yourself. It reshapes what you think is possible. Because most careers are not built on certainty. They are built on someone choosing to take a risk on uncertainty. On potential instead of proof. And once that happens, everything shifts. You stop asking if you’re ready. You start becoming ready. That’s why great leaders look beyond credentials. They look for: Growth over time Speed of learning Hunger to improve Consistency in effort Resilience after failure Comfort with feedback Ownership of outcomes Curiosity under pressure Initiative without permission Accountability without excuses Because skills can be taught. But mindset shows up early. The hard part is this: Growth alone is not enough. It has to be visible. You may be improving every year. Taking on more responsibility. Delivering better results. But if that progression is not clear, opportunities don’t follow. Your CV should make your growth obvious: ✔ What you’ve learned ✔ What you’ve achieved ✔ How you’ve progressed ✔ How your impact has increased Because invisible growth means missed opportunities. But a great CV only gets you noticed. It doesn't keep you organized once the search begins. Applications pile up. Follow-ups slip. Momentum disappears. Kickresume fixes that. Their new Job application tracker can help you: Track applications Manage interviews’ Monitor your progress Stay on top of follow-ups Try it for free: https://lnkd.in/evS3nddv P.S. Are you managing your job search, or just reacting to it? ♻️ Repost this so more people take control of their careers.