Once we have your intake, we run two AI agents. The Analyzer reads your situation and
writes the recommendation. The Placement agent reads the recommendation and places the
business. Information flows one way. The Analyzer can't read from the commission
database, can't query the Placement agent, and can't be influenced by anything that would
tell it what mnw stands to make. Every cross-boundary read attempt from Placement toward
Analyzer is blocked at the system level and audited. The audit trail for your case is
available to you on request.
The reason for the separation is structural rather than aspirational: a human-only
agency can't make this commitment because the same producer holds both sides. AI is
what makes the separation work at scale. (Full operational detail at
/our-promise Section 02.)
For a new-coverage case, the analysis looks at suitability (does
insurance solve a problem you have?), product fit (term, whole life, IUL, annuity?),
and carrier-and-design fit (within the recommended product class). Each step can
return a No answer. If insurance is not the right tool, we say so and we earn nothing.
For a review-coverage case, the analysis looks at in-force
performance (versus original illustration), suitability-now (has your situation
changed?), replacement math (if applicable, with surrender charges, cost basis,
contestability reset, and new commission load), tax treatment, and carrier financial
health. The analysis can produce a Hold answer; mnw earns nothing on a Hold recommendation.