OCBC’s GenAI Training Doubled Advisor Appointments

Nine hundred wealth advisors. A generative AI training programme. Double the weekly client appointments. A 50 per cent revenue increase in three months.

These are not pilot numbers. OCBC just published production outcomes from a programme already running at scale across its personal banking, premier banking, and private premier client segments.

You can read the full article in the Business Times here.

The results make sense when you understand what the programme actually does.

What OCBC built
Before this programme, wealth advisory training at OCBC was conducted one-on-one by supervisors. Advisors waited up to three weeks for a session.

Supervisors coached up to ten staff each, on top of their other responsibilities. The result was inconsistent feedback and inconsistent standards across the advisor population.

The generative AI programme replaced the waiting. Using OCBC’s anonymised proprietary insights on customer behaviours, it generates realistic training scenarios covering everything from identifying a client’s risk profile to building long-term portfolios and adjusting strategies in line with market movements, available to advisors on their work devices at any time.

The AI adapts dynamically to what the advisor says, the way a real client would.

Following each session, supervisors receive automated reports on specific competency gaps. In-person time is now used for targeted follow-ups rather than baseline coaching. More advisors trained faster, to a higher and more consistent standard, with supervisors freed to do the work only they can do.

The question the results raise
Double the appointments. Fifty per cent more revenue. These are outcomes every wealth institution wants.

They also raise a question worth sitting with.

The OCBC programme builds better advisors. More confident, more consistent, more productive in client conversations. When a trained advisor sits down with a real client, the AI behind them should have a live house view, current suitability framework, and governed product eligibility logic.

A more confident advisor giving a client an answer that reflects the institution’s current investment position would not only be giving the right answer, but faster and more fluently too.

OCBC’s programme is genuinely impressive. The productivity gains are real. Ensuring the institutional intelligence behind them is equally well governed is important too.

What the second half looks like
When investment, product, risk, distribution, and service all read from one shared intelligence layer, the advisor’s better training gets multiplied rather than undermined.

The advisor arrives at the client conversation faster, more confident, and more consistent. The AI behind them knows the current house view, the approved product shelf, and the suitability constraints for that client’s profile. Every channel the client touches reflects the same institutional position.

That is what serving more clients, faster, without losing control actually looks like. Not just better-trained advisors. One Institutional Intelligence Layer that every function reads from, so the AI always sounds like the institution.

The natural next question is: what becomes possible when the intelligence layer behind the advisor is equally serious?

Nextvestment is the Institutional Intelligence Layer for wealth management, connecting house views, suitability logic, compliance positions, and client context into one system so every AI surface reflects one institutional voice, at scale, without losing control. Request a demo with us today.