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Turn recruiting intelligence into
the next right action

HNTR AI is the execution operating system for wealth-management recruiting — turning signals, relationship context, and institutional memory into clear, governed action.

Built for wealth management recruiting teams

This is for you if…

Your role changes how you use HNTR. Find the recruiting context that fits your organization and the work you own.

Wirehouses

You need consistent recruiting intelligence and follow-through across the people working an advisor relationship.

Explore your path →

Broker-dealers

You need a clearer connection between the advisors you pursue, the proposition you present and the next step in each relationship.

Explore your path →

RIAs

Recruiting competes with running the firm, and you need a repeatable way to identify, engage and follow through with potential advisors.

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OSJs

You need to make the value of joining your network clear and sustain personal follow-through across advisor relationships.

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Individual recruiters

You own advisor conversations and follow-through, but may not own firm-wide strategy, systems or the recruiting budget.

Explore your path →

Third-party recruiters

You need to understand the advisor relationship, represent the receiving firm’s proposition accurately and sustain follow-through.

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See how the work fits together

Explore the product areas that help teams review signals, context, decisions, and follow-up.

Prioritized recruiting work

Keep next steps, active commitments, and relationship context in view as the team works.

Content and campaign work

Plan, refine, and manage recruiting content as part of the broader relationship workflow.

Source context for review

Review available advisor and firm updates, inspect their source context, and decide whether follow-up is warranted.

One operating rhythm across
the recruiting desk

HNTR AI brings intelligence, decision support, communication context, execution, and learning into one governed workflow. Your team can act, revise, schedule, skip, or go deeper without losing the thread.

Prospecting, ranked for you

Phase 01 · Discover

A focused queue helps teams decide what to review first using available signals, firm context, and relationship history.

Nurture that never drops

Phase 02 · Engage

Communication activity and inbound context can be kept close to the relationship record so the team can plan follow-up with the history in view.

Deal flow that mirrors reality

Phase 03 · Advance

Advance keeps active relationships, meeting context, commitments, and follow-up visible as conversations deepen. The system preserves what happened and keeps the next credible action close to the work.

Brand and Comms stay in the loop

Brand · Comms

Brand, communications, and meeting activity can be reviewed alongside relationship context. Teams record work and use that history when planning follow-up.

From signal to action,
without losing the context

Available signals become context for team review. People decide what to do, and activity history helps preserve continuity.

1

Signal in

Teams can review available advisor and firm context from public and connected sources, then decide what merits follow-up.

2

Action out

A suggested next step can bring relevant context into the team workflow. Recruiters can review, revise, schedule, or skip where those actions are available.

3

Outcome logged

Activity and stage changes can be recorded with relationship history so the team can see prior work when planning follow-up.

Designed around work your
team can review

Use your firm’s own measures to evaluate signal review, fit context, follow-up, and process consistency.

Signal review

Keep available advisor and firm updates with their source context for team review.

Follow-up planning

Bring relationship history and current context into outreach planning.

Fit with more context

Review practice, business model, and firm priorities before advancing a conversation.

A shared recruiting process

Teams can work from shared stages, visible activity, and consistent follow-up practices.

Security and data boundaries

Security and data handling are part of the product design. Ask us about the current controls and evidence relevant to your evaluation.

Operational safeguards

HNTR uses access controls and operating procedures to support the protection of platform information. Specific control evidence is discussed during evaluation.

Microsoft Azure

The HNTR AI platform is hosted on Microsoft Azure.

Human review

Teams review available source and relationship context and remain responsible for recruiting decisions.

Data boundaries

Firm-private information is scoped to the firm, while shared public-source information is handled in a distinct data layer.

See HNTR AI in action

Book a 15-minute demo with our team. We'll show you how the platform works with your recruiting workflow.