5 Sales Strategy AI Agents, Live in Production.

Sales strategy tends to be written once and then quietly ignored, because the version on the slide is not testable. An ideal customer profile assembled in a workshop reflects who the team believes they sell to, and it survives unchallenged for years while the actual win data says something different. Qualification criteria inherit the same problem: they feel rigorous, but nobody has checked which of them predict conversion and which reject good leads. Market sizing is often a round number with no visible arithmetic, so nobody can interrogate it. The consequence is not a bad plan so much as an unfalsifiable one — when results disappoint, there is no way to tell whether the strategy was wrong or the execution was.

These agents make the strategy layer evidential. ICP Recognizer derives an ideal customer profile from your won and lost deals, producing the attributes that predict a win, the qualifying signals, the anti-patterns to disqualify on, and an honest statement of how much the data can really support. Qualification Criteria Tuning tests your existing criteria against outcomes and identifies which cost you good leads. Micro-Market Prioritization cuts a broad market into workable segments ranked by what your own won deals and public sources support, with the sizing arithmetic shown rather than asserted. Market Research Synthesis answers a market question from live search and your own research library with every claim traceable to a source and the gaps named explicitly. Opportunity Viability Assessment applies the same discipline to individual pursuits, checking whether you can actually deliver against current capacity, skills and commitments before the opportunity is resourced.