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Guide

Evaluating Fund Selector for your firm

September 2026 Muuvment
LinkedIn

Fund Selector is a bespoke fund-research implementation built with Monarch Wealth. Use this brief to prepare a discussion about your firm’s process, not as a specification for a packaged product.

What the Monarch implementation shows

Rule-based fund matching and AI-assisted explanation can be combined within a firm-specific workflow. As of 9 September 2026, Monarch’s implementation is in user testing, reached in under four months, with a planned rollout audience of 300 users. These milestones do not establish active adoption or measured ROI.

Read the Monarch implementation and approved client quotation.

Questions for your team

AreaWhat to bring or resolve
Business ownerWhich research or review task are you trying to improve? What baseline would show a useful change?
Product universeWhat is the approved fund universe? Which data sources and licences can be used?
RulesWhich eligibility criteria are explicit, and who maintains them?
ReviewWho checks explanations and source facts? What requires escalation?
TechnologyWhich identity, integration, language, hosting, and access requirements apply?
RecordsWhat context must be retained, who may see it, and for how long?
Commercial termsWhat is reusable, configurable, or new development? Agree IP, licences, costs, support, and exit separately.

Keep the decision boundary clear

Matching rules and generated language are separate. A generated rationale requires review; it does not replace firm-level product diligence or client-specific suitability decisions.

A useful demonstration

Ask to see the task from input to review, including the sources, matching criteria, and an exception or missing-information case. Confirm which features are available in the demonstrated build and which would require development for your firm.

Discuss Fund Selector. Bring a process description, not confidential client records.

NEXT STEPS

Put AI to work. Keep control of what matters.

You don’t need a fully defined AI project. Tell us where work is slow or difficult, or what you hope AI could help your business achieve. We’ll explore whether there is a useful next step.

Bring a process description, not confidential client files. Explore our resources before a conversation.