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Your team likely already has a RAG prototype. It can answer policy questions, summarize docs, and pull snippets from a knowledge base. Then actual business requests arrive. Support wants the assistant to check account status before answering. Ops wants it to pull data from a dashboard, compare it to an internal SOP, and recommend the […]
Your team probably has the same problem I see in most growth-stage companies. Revenue is up, headcount is strained, and too many core workflows still depend on a few operators who know how to stitch systems together by hand. Sales ops exports data between the CRM and billing. Support managers triage tickets across inboxes and […]
92% of CPOs planned to assess generative AI in procurement during 2024, while only 8% had no immediate evaluation plans. The market has already moved past curiosity. Procurement leaders are now under pressure to prove where GenAI changes cycle time, savings capture, compliance, and stakeholder service levels. The mistake I see most often is treating […]
The most popular advice on AI deployment is still wrong. It says the hard part is training the model, then treats production as an implementation detail. In enterprise work, deployment is the product. A model that scores well in a notebook but doesn't fit approvals, handoffs, latency targets, audit requirements, or unit economics isn't an […]
AI programs do not fail because leaders forgot to ask about ROI. They fail because ROI arrives too late to steer the work. Strong ai transformation progress monitoring starts earlier and goes deeper. It tracks whether the model is reliable enough for production, whether teams change how work gets done, and whether that change shows […]
Your AP team usually doesn't break all at once. It frays at the edges first. A few more suppliers send PDFs in odd layouts. A customer-facing hire in finance starts spending mornings keying invoice numbers into NetSuite or QuickBooks instead of chasing approvals. Month-end close gets tense. Someone builds a workaround in Excel. Then growth […]
Monday morning. The COO is asking why the AI assistant works in one team, fails in another, and still has no clean owner. The head of risk wants audit trails. Finance wants proof that inference costs are not outpacing labor savings. The problem is no longer whether AI works. The problem is whether it can […]
The global agentic AI market is projected to reach $199.05 billion by 2034, up from $5.25 billion in 2024, a 38-fold increase at a 43.84% CAGR, according to Landbase's agentic AI market statistics. That number matters because it changes the question a founder should ask. The question isn't whether agentic AI is real. It's whether […]
Launch week changes the way teams think. The dashboard looks green, the deployment plan is signed off, and yet nobody in leadership is asking the easy question anymore. They're asking the hard ones. Will the app stay fast under real traffic, will a misconfiguration expose customer data, and will this cloud bill still look reasonable […]
Your product probably works fine in the demo. A user signs up, the dashboard loads, the AI assistant answers a few prompts, and the integration with one partner looks clean enough. Then growth starts exposing the parts nobody talked about in the sprint review. Response times stretch. Engineers add one more endpoint to patch a […]
