When engineering moves at AI speed, a two-week feedback loop starves the team of decisions. The business must sync with tech daily.
The team friction When engineers use AI, they churn through their backlog of unambiguous work in days instead of weeks. Consequently, they hit product edge cases and decision points much faster. If the Product Owner or business stakeholder is only available for a sprint planning session every two weeks, the team starves. They either stall out waiting for answers, or worse, their agents guess the requirements and build the wrong thing extremely fast.
The pattern Move to a frequent, maybe even daily, high-bandwidth sync between the engineers and the business. This is not a daily standup for status reporting; it is a rapid decision-making and feedback session. The original agile ideal — “business people and developers must work together daily” — is no longer just an aspirational principle. It is an operational necessity to keep the machine fed.
Why it works with AI Agents compress the time it takes to write code, but they cannot resolve genuine product ambiguity. By pairing the sheer execution speed of AI with immediate, daily business decisions, the team avoids the compounding cost of rework. The bottleneck shifts from typing code to answering “what exactly should this do?”
Watch-outs Business stakeholders are often too busy for daily syncs because their schedules are built around the old, slower development cadence. You will have to explicitly renegotiate their time commitment. If the business can’t move faster, the engineering speedup is wasted.
Related Apply AI across the whole value stream · Shorter iterations