Advice for 300,000 retirement participants

The opportunity, and what stood in the way

The firm specializes in retirement planning and is known for investment strategies tailored to each client. It saw a large, growing market it wasn’t serving: the mass affluent, people with real planning questions and too few places to take them.

The usual options didn’t work. Hiring enough advisors to talk with every participant would have meant a team many times the firm’s size, at a cost those accounts couldn’t carry. Handing the questions to a general-purpose AI was worse: an assistant that improvises gives inconsistent answers, and every inconsistent answer is a compliance problem and a crack in client trust. The firm needed advice at scale that still sounded, and reasoned, like the firm.

Advice built on the firm’s own approach

Instead of a generic chatbot, the firm and Athena built an AI advisor around the firm itself, under the firm’s own brand.

1. 01

   The firm’s philosophy, written down

   Athena worked with the firm to turn its investment principles into the rules every answer follows, so the AI recommends what the firm’s own advisors would.

2. 02

   Algorithms that mirror the firm

   The calculations behind each answer were designed with the firm to match its approach, so the numbers come from the firm’s method, not from the model.

3. 03

   Answers on any question

   Participants ask about their own money in plain language, at any hour, and get an answer that fits their situation and the firm’s strategy.

4. 04

   Compliance in the loop

   Every answer is logged, monitored, rated, and open to feedback, so the compliance team sees what was said and can steer it.

One question, start to finish

Here is how a typical participant question moves through the system. The question is an example, not one from the firm’s records.

The participant gets a clear answer in seconds, in the firm’s voice, built on their own numbers. The advice comes from the firm’s method; the AI’s job is to explain it. That is what lets the same quality reach someone with a small balance and someone with a large one.

What compliance sees

For the compliance team, the change was visibility. Instead of trusting that an AI would behave, they can watch it work.

• Every answer logged

  Each question and answer is kept, so any conversation can be pulled up and read in full.

• Monitored in real time

  Compliance watches the advice as it happens, not in a sample weeks later.

• Rated

  Answers are scored, so the team can see where quality holds and where it needs attention.

• Feedback that sticks

  When compliance corrects an answer, that feedback shapes the ones that follow.

What changed

The firm now serves 300,000 retirement participants with a fully custom-branded AI advisor. Thousands of participant questions are asked and answered every day, each one timely and specific to the person asking. The firm’s client base and sales have grown quickly, without operating costs growing at the same pace.

What it means for your firm

You don’t need 300,000 participants to use the same approach. Athena AI answers your clients from their own household data and your firm’s investment policy, under your brand, and every conversation lives on the household in Mission Control for your team and your compliance staff to read. When a question needs judgment, it goes to a person on your team.

That is how a lean firm says yes to the smaller households it used to turn away. See how the answers stay grounded on Athena AI, or book a demo and we’ll run it on households that look like yours. More stories are in our case studies.