Your AI Agent Doesn't Lack Context. Your Company Lacks a Standard.
20
Overview
Over 40% of agentic AI projects will be canceled by the end of 2027. Recording how work gets done isn't the fix. Someone has to decide how it should get done.
Year
2026
Industry
Financial Services / COOs & Operations
Challenge
You are funding business transformation. You are funding AI. Both budgets need a return. Scribe, a workflow-documentation vendor, says enterprises racing to adopt agents lack the basic ingredient: "a living, accurate description of how their business actually works." Its fix is to record how work really gets done and give that to the agent. The stakes are high. Gartner predicts over 40% of agentic AI projects will be canceled by the end of 2027. The causes: escalating costs, unclear business value, inadequate risk controls. A recording fixes none of those. Work as done today includes every workaround. Every exception settled by asking one person. Every task two people finish two different ways. Take a payment repair queue. Two analysts get the same failed payment. One calls the beneficiary bank first. The other checks the sender's instructions first. Both fix it. Record both, and the agent has two methods and no instruction on which one counts. You pay for the output either way. You do not know which version you bought. What has to be settled before an agent can pay back?
Impact
Five calls, made before you build Your leadership team makes five calls. Which method is the standard. What the rule is when judgment is needed. Who owns the result. What done means. What target you will judge the agent by. The vendor lists the same five needs. Here is what a recording gives you on each, what you still have to decide, and what skipping it costs. A recording shows where you are. These five calls decide where the agent goes. I have seen the order matter. On ISDA and credit agreement remediation, I turned manual legal-review requirements into a deployed generative AI tool. Legal review ran 50x faster, with 95%+ accuracy. Capital held in reserve against unresolved contract risk was freed. The requirements came first. The tool followed. The order that pays: record how work runs today. Decide the standard. Name the owner. Set a target you can measure. Then build. Skip the middle and you pay to automate the problem. Optivance's diagnostic gives you the list: which AI Skills your operating model can support today, and the fixes for the ones that aren't ready. Fix the operating model. AI works after that, not before.