Building a genuine client-centric approach in financial services is one of the industry’s most quoted ambitions – and one of its least solved operational challenges.
Every firm claims to put clients first. The harder question is whether the operating model behind that claim can actually deliver it – across every segment and without burning out the team doing the work. For growing advisory firms, the tension between personalized service and operational efficiency is not a future problem; it is an immediate one. A projected 110,000 advisors – representing 42% of industry assets – are set to retire within the next decade, and McKinsey estimates firms will need to increase productivity by 10% to 20% just to absorb that shortfall. The pressure to do more with less is already here. At the Communify Intelligence Experience, Lisa Salvi, Managing Director, Business Consulting and Education at Charles Schwab, gave one of the sharpest takes on how to excel in the Intelligence Era.
How to Deliver a Client-Centric Approach Through Your Operating Model
Salvi works with over 16,000 registered investment advisory firms at Charles Schwab, which means she sees the full range of how firms handle – or mishandle – this tension. Her framework is practical and sequenced: start with segmentation, ground it in cost data and layer in technology to make it scalable. Here is how that plays out in practice.
- Segment based on needs – not just assets under management:
The most common mistake Salvi sees is firms that segment purely by AUM: clients above a threshold get one experience, those below get another. That is not a client-centric approach – it is a revenue ranking. Salvi’s recommendation is to build segments around what clients actually need: their goals, life stage, complexity and how they prefer to engage. The result is a tiered model that can still deliver a genuinely sophisticated experience at each level, rather than a watered-down one at the bottom. Communify’s ClientScore™ supports this by combining financial health metrics – net worth, cash flow, income stability, debt ratios – into a single visual benchmark that helps firms understand each client’s real situation, not just their account balance.
- Understand the cost to serve your segments:
Segmentation without cost data is guesswork. Salvi is direct about this: as firms grow, they often discover they have been over-serving some clients at the expense of others – not by design, but because no one was tracking the real cost of each relationship. Charles Schwab’s benchmarking study gives RIAs the data to have that conversation with confidence, grounding decisions in real productivity metrics rather than gut feel. For firms building this internally, the discipline is the same: map the inputs that go into serving each segment, then compare that against the revenue or strategic value each segment represents.
- Build repeatable processes for personalization, so it does not depend on heroics:
One of the structural weaknesses in many firms is that their best client experiences are not actually repeatable; they depend on a particular advisor knowing a particular client well enough to anticipate needs. However, that is not a model; it is a single point of failure. The goal is to encode what your best advisors do instinctively – proactive outreach, contextual insight, timely nudges – into systems and workflows that any member of the team can execute consistently. This is where deterministic AI becomes essential: unlike generative approaches, it ensures the same inputs produce the same actions every time, replacing institutional memory with institutional process. Communify's MIND™ AI is built on exactly this principle, with the P.O.D.™ framework ensuring every insight is verified, consistent and auditable at scale.
- Move from AI experimentation to leveraging strategic, embedded use – responsibly:
Salvi’s data is clear: in Q4 2025, 63% of advisory firms were already using AI in some capacity. What she wants to see, and what the highest-performing firms are already doing, is a shift from ad hoc experimentation to AI that is embedded into the core workflow: synthesizing data, surfacing the next best action and delivering the right insight to the right client at the right moment. But she is equally clear on the guardrails. “We are a trust-based, relationship-based business,” Salvi told Finextra TV. “It’s important to have the very best tools when you’re embedding it into your business.” That means AI cannot be a black box. The tools firms deploy need to be precise, explainable and compliant, not just capable. Communify’s MIND™ AI is built on exactly that premise, with the Proof of Dimension (P.O.D.™) framework ensuring every AI-generated insight is grounded in verified data and auditable at scale.
How Communify Turns Client-Centric Strategy Into Scalable Outcomes
The features below are not positioned as add-ons to an existing workflow; they are designed to be the operational infrastructure that makes a client-centric approach repeatable across an entire platform.
- MIND™ AI and the Proof of Dimension (P.O.D.™) Framework – precision and trust at scale:
P.O.D. is Communify’s answer to the question every compliance-conscious firm should be asking: how do we know the AI is right? The framework governs every insight MIND™ AI produces, ensuring outputs are grounded in verified, multi-source data and are auditable. For firms deploying AI in a regulated, relationship-driven environment, this is more than a nice-to-have – it is the foundation of responsible use. P.O.D.™ is also what allows MIND™ AI to scale without scaling risk.
- Intelligent Dialogues™ – personalization at scale without manual effort:
Intelligent Dialogues™ deliver guided, AI-powered conversations that adapt to each client’s financial situation. For firms trying to replicate what their best advisors do instinctively – ask the right question, at the right time, in the right way – this is the operational mechanism. It extends the capacity of every advisor on the platform and ensures a consistent, high-quality experience across every segment.
- Knowledge Base – scalable personalization, by design:
Personalization at scale is only possible when the data behind it is unified, structured and always current. Communify's Knowledge Base consolidates over 4,000 pre-integrated data feeds alongside your organization's own client data into a single, trusted source of truth. Unlike traditional databases that simply store information, the Knowledge Base is built to power intelligence – feeding MIND™ AI's deterministic engine so that every insight, score, signal and dialogue is grounded in verified, consistent data. This is how personalization stops being a manual exercise and becomes an operational capability: the same intelligence that drives a ClientScore™, surfaces a timely signal or guides an Intelligent Dialogue™ is available to every advisor, across every client, every time.
The Firms That Get It Right Will Be the Ones That Keep Growing
Adopting a client-centric approach in financial services is not a positioning statement. It is an operational decision, and the firms that treat it as one will outperform those that treat it as a marketing line. The framework Lisa Salvi outlines is clear: segment by need, understand your cost to serve, make personalization repeatable and embed AI in a way that earns rather than assumes trust. For platform operators and firm leaders ready to put that into practice, Communify is built to close the gap between the experience clients expect and the operational model firms can actually sustain.
To see how Communify’s platform can help your firm deliver a client-centric approach at scale, book a demo.
