Trending
There is a new kind of disappointment moving quietly through the financial advice industry.
It does not sound like panic. It does not sound like resistance. It sounds more like a shrug.
“I tried AI. It was fine.”
That sentence may become one of the most expensive misunderstandings in modern practice management.
Because for many financial advisors, AI is not failing. The prompt is. Garbage in – Garbage out.
Advisors are asking artificial intelligence to write client emails, summarize meetings, draft referral language, build marketing calendars, create workflow checklists, prepare review agendas, explain planning concepts, and sharpen prospecting messages. The output arrives instantly. It is polished. It is coherent. It is often usable. And too often, it is largely forgettable or of no real value to clients.
It sounds like something an advisor might send, but not something this advisor should send. It contains the right vocabulary, but not the right judgment. It is efficient, but not insightful. Professional, but not personal. Fast, but not finished. So the advisor reaches the wrong conclusion: AI is interesting, but not transformational.
The more uncomfortable truth is this:
Most advisors are not underusing AI. They are under-prompting it.
They are giving a powerful system thin instructions and expecting thick judgment. They are asking for client-ready work without providing client reality. They are asking for marketing differentiation without defining what makes the practice different. They are asking for workflow design without explaining how the team actually works. They are asking for referral language without naming an ideal client profile, the relationship context, or the emotional risk of the ask.
Then they judge the technology by the weakness of the instruction. That is not an AI failure. That is a leadership failure.
AI Does Not Replace Judgment. It Reveals It.
The best way to understand AI is not to see it as software. It is leverage. And leverage has always had one requirement: direction.
A vague advisor with AI becomes faster at producing vague work. A generic value proposition becomes faster at producing generic language. An unclear service model leads to faster production of inconsistent client experiences. A poorly documented practice becomes more prone to producing operational noise. This is no different than relying on untrained staff with bad habits.
AI does not magically create clarity where none exists; instead, it amplifies the clarity already present.
That is why the prompt matters so much. The prompt is not a casual request. It is not a search term. It is not a command tossed into a machine. The prompt is the new “delegation memo.”
Every advisor who has ever led a team already knows this principle. Give a vague assignment to an associate advisor, assistant, planner, marketing coordinator, or operations manager, and the work comes back requiring rescue. Give clear context, desired outcome, client profile, constraints, examples, standards, and next steps, and the quality rises immediately. AI is no different.
Ask it to “write an email about market volatility,” and it will produce an email that sounds like thousands of other emails about market volatility.
Tell it, “Write a calm, plain-English note to retired A-clients who rely on portfolio income and are anxious after recent market declines. Reinforce that their retirement income plan was designed for difficult markets, avoid predictions or guarantees, invite them to schedule a review if they need reassurance, and keep the tone confident, human, and non-promotional,” and the result changes.
Same technology. Better instruction. Better work.
The advisor did not become more technical, just more precise.
Under-Prompting Is a Practice Management Problem
This is why AI belongs in the practice management conversation, not just the technology conversation. Under-prompting exposes the places where a practice has not yet made its thinking explicit.
· If an advisor cannot tell AI who the ideal client is, the practice may not be clear enough on who it serves best.
· If an advisor cannot explain the firm’s tone, the client experience may depend too much on personality and too little on standards.
· If an advisor cannot articulate the purpose of a client communication, the practice may be producing activity rather than intentional influence.
· If an advisor cannot define what “good” or “done” looks like, the team may be operating on assumptions rather than expectations.
The hidden gift of AI is that it helps advisors produce content and define their business.
A well-used AI tool forces the advisor to clarify audience, purpose, positioning, workflow, tone, responsibility, risk, and outcome. It rewards the advisor who can think like a CEO. It frustrates the advisor who wants leverage without leadership. The future will belong to advisors who learn to become better “askers.”
The CRIT Framework: A Standard for Better AI Requests
Financial advisors do not need to become prompt engineers. They need a practical prompting discipline. One useful standard is the CRIT Framework: Context. Role. Interview. Task.
It is simple enough for a busy advisor to remember and strong enough to become a team standard.
CONTEXT answers: What is the situation? Who is the client? What stage of the relationship are they in? What has happened? What do they care about? What do they fear? What do they already understand? What must be handled carefully?
A weak prompt says, “Write a follow-up email.”
A stronger prompt says, “This is a follow-up email to a business owner prospect in his late 50s who just completed an introductory meeting. He is worried about exiting his business, minimizing tax, protecting his family, and not being sold products. He values direct language and practical next steps.”
That is context. And context changes the quality of the work product.
ROLE answers: What expertise should AI bring? AI performs better when it knows the perspective it should take. Should it act as a senior financial advisor? A client experience strategist? A compliance-sensitive editor? A practice management consultant? A marketing strategist? A meeting facilitator?
“Make this better” is a weak instruction.
“Act as a senior financial advisor writing with calm authority to a long-term client who needs reassurance but not alarm” is a stronger one.
Role answers a point of view.
INTERVIEW answers: Have an AI interview with you to gain a deeper context and understanding.
This may be the most overlooked part of prompting. Advisors often ask AI to create an output without explaining the business purpose behind it.
But an email is not just an email. It may be designed to reassure, educate, invite, retain, convert, clarify, prepare, deepen trust, reduce anxiety, create action, or prevent confusion.
A referral script is not just a script. It may be designed to make the client feel safe naming someone they care about.
A meeting agenda is not just an agenda. It may be designed to shift the conversation from investment performance to life planning priorities.
This interview stage turns content into strategy. “Ask me one question at a time, up to three questions to gain deeper context.”
TASK answers: What exactly should AI create or help you with?
This is where the advisor defines the deliverable: length, format, tone, structure, reading level, constraints, and next action.
Write a 250-word email.
Create a five-step call script.
Draft a one-page client explanation.
Build a pre-meeting checklist.
Create three versions: warmer, shorter, and more direct.
Avoid predictions, guarantees, jargon, product language, and fear-based messaging.
The task gives the work shape.
Together, CRIT turns a vague request into a professional instruction.
It moves AI from clever responder to useful collaborator.
Where CRIT Changes the Practice
The power of CRIT is not limited to better emails.
It can improve the operating rhythm of the entire advisory practice.
In client communication, CRIT helps advisors move from generic updates to messages that reflect the client’s life, concerns, and decision-making style.
In marketing, it helps an advisor stop sounding like every other advisor promising “comprehensive planning” and “personalized service.” It forces sharper positioning: who the firm serves, what problem it solves best, and why that matters now.
In referral development, CRIT creates more human language. It helps advisors define the ideal introduction, the relationship context, and the reason the conversation should feel natural rather than forced.
In meeting preparation, CRIT creates better agendas because the advisor must clarify the client’s current situation, the desired meeting outcome, and the conversation that needs to happen.
In operations, CRIT helps document workflows that are actually usable because the advisor explains the roles, handoffs, timing, standards, and exceptions.
In team leadership, CRIT becomes a discipline for delegation. Before asking AI or a team member to produce work, the advisor must clarify what success looks like.
That is the larger point.
The advisor who learns to prompt better often learns to lead better.
The Real Question
Soon, asking whether advisors use AI will be like asking whether they use email.
The answer will be obvious.
The better question will be whether they use it well.
And using it well will not depend on who has the most tools, apps, or technical vocabulary.
It will depend on who gives the clearest instructions.
Because AI will not save an unclear practice on its own.
It will reveal it.
It will reveal whether the advisor knows who they serve. Whether the client experience is intentional. Whether the team operates from standards or habits. Whether the value proposition is distinct or interchangeable. Whether communication is strategic or merely frequent.
That is why “Are you under-prompting?” is not a technology question.
It is a leadership question.
It asks whether the advisor has considered having the machine do the work.
It asks whether the practice has enough clarity to be multiplied.
AI may be the most powerful practice management tool advisors have ever been handed.
It will reward clear leadership over unclear.
So the question is no longer, “Are you using AI?” Almost everyone will be.
The question that matters now is sharper, more revealing, and far more consequential: Are you under-prompting?
Related: The Most Important Thing Clients Tell Advisors Is Often What They Don’t Say