AI-enabled performance

The platform is the easy part.

Firms buy AI practice tools and conversation analysis, and then find the same thing every time. The software works. What's missing is everything above it. Someone has to design the scenarios and write the scoring criteria, pull the cohort data, coach the gaps and rewrite whatever isn't landing, then feed what the field learns back into the next round.

Most firms try to staff that with five people who already have jobs: a learning designer, a sales ops analyst, a coach, a CRM admin and a content owner. They never quite coordinate, and the platform becomes a dashboard nobody opens.

That's the part we do, and it's why we're deliberately platform-agnostic. You bring the tools, or we help you choose them, and we bring the system that gets something out of them.

What we actually do

Scenario and persona design. The persona is whoever your people actually face: a prospect, a client, a recruit, a peer, a stakeholder, or the advisor a manager is learning to coach. We build it from your real conversations and objections, in the language your clients use, not from a vendor template.

Scoring criteria. Behavioral, and written so two reviewers reach the same conclusion. This part decides whether the rest is worth anything.

Real conversation analysis. The conversations already happening are the more valuable half, and almost nobody reviews them. Analyze those and you learn what your best people do differently, with evidence instead of anecdote.

The reporting layer. What leadership needs to see, at the cadence they will actually look at it, tied to something a manager can coach on Monday.

The part nobody warns you about

Deploying an AI tool inside a regulated firm is the easy part. Getting it approved takes much longer, through information security review, legal, model risk, data retention, recording consent and vendor onboarding. We've been through all of it inside large banks and wirehouses, and we know where it stalls.

If your firm has a compliance function, that experience is worth more to you than any feature comparison. We'll tell you early what's likely to clear and what isn't.

A recent example

We drew six behavioral dimensions from a wealth manager's own client conversations and scored one advisory cohort against them weekly for six weeks, on the platforms the firm already owned. The rubric was rewritten whenever it stopped reflecting the work. The result that mattered most was that leadership could finally put words to what their best people do differently, in language a newer advisor could practice on Monday.

How we handle platforms

The method doesn't depend on any one tool, and we'll tell you when the one you already own is good enough. When we do recommend a platform, we tell you up front if we have a referral or reseller relationship with it, before anything is signed. Plenty of engagements start here and turn into a Build or a Run. The constraint usually turns out to be the process, not the technology.