2 Plan to results AI Agents, Live in Production.

Annual planning has a characteristic weakness: the arithmetic is rigorous and the assumptions are not. Growth is frequently entered as a percentage applied to a base, which is a target dressed as a plan — there is no named action behind it, so when the year underperforms there is nothing to diagnose. The assumptions that genuinely carry the plan are rarely written down as assumptions at all; they are embedded in a model, so nobody can ask what happens if the largest one is wrong. Competitive input suffers the mirror problem. A competitor’s results get read at headline level, which is the level their investor relations team wrote for, and the trend underneath — the segment quietly shrinking, the disclosure that implies a pricing change — is where the actual challenge to your own plan sits.

These agents make the plan interrogable before it is signed. Annual Plan Review examines a draft plan for whether its growth is built on named actions or on a percentage, and identifies the assumptions the whole plan depends on — the ones worth testing explicitly because everything else follows from them. Competitor Financial Analysis reads a competitor’s published results for what they actually say: the trend under the headline, what the disclosures imply, and specifically which of your own plan assumptions the comparison challenges. That last output is the useful one, because competitive analysis usually stops at description and never connects back to a decision you were about to make.