NEA partner Tiffany Luck told TechCrunch recently that enterprises are still figuring out their AI ROI. That’s a polite way of saying most firms are buying tools, spinning up pilots, and hoping something sticks. Financial advisory firms are no exception. You’ve probably tried a transcription service for client meetings, a chatbot for email drafts, maybe a portfolio commentary generator. Each one costs $30 to $200 per seat per month. Add them up across ten advisers and you’re at $3,000 to $20,000 annually before you’ve measured a single hour saved or a single compliance risk reduced.

The pattern I see in advisory firms between $1M and $25M revenue is the same: someone hears about a tool at a conference, signs up for a trial, likes it, and rolls it out to the team. Three months later nobody’s sure if anyone is using it. Six months later the finance manager asks why the firm is paying for eleven SaaS subscriptions nobody can explain. That’s how you leak $70K to $200K a year without a single line item that screams “waste” on the P&L.

The fix isn’t to stop experimenting with AI. It’s to track spend and usage from day one so you can measure ROI before you scale. This article walks through how to do that in a financial advisory context, what an agent-based approach looks like when you get it right, and why a structured audit is the fastest way to separate the tools worth expanding from the ones you should cancel.

The Real Cost of Untracked AI Tool Sprawl

Most advisory firms don’t have a central IT budget line for AI. Tools get expensed under “software”, “marketing”, or “professional development”. An adviser buys a $50/month transcription tool on the company card. A paraplanner signs up for a $99/month writing assistant. The principal tries a $200/month compliance document generator. None of them talk to each other. None of them integrate with your CRM or portfolio management system. Each one solves a narrow problem for one person.

By the end of the year you’re paying for eight to twelve subscriptions. Some are duplicates. Some are abandoned. Some are used by one person who would be just as productive with a cheaper alternative. The firm has spent $15K to $40K and nobody can tell you which tools delivered value and which ones were a waste.

The bigger cost is opportunity cost. If you’d consolidated that spend into two or three well-integrated agents, you could have automated meeting prep for every adviser, cut SOA drafting time in half, and shortened client onboarding from 45 days to two weeks. Instead you have a stack of point solutions that don’t compound.

Here’s what tracking looks like in practice. You designate one person, usually the COO or operations manager, to maintain a simple spreadsheet with six columns: tool name, monthly cost, number of seats, primary use case, owner (the person who requested it), and a quarterly usage check. Every 90 days you ask the owner: are you still using this? What’s the measurable outcome? If they can’t answer in 30 seconds, you cancel it.

That process alone will cut your AI spend by 30% to 50% in the first year. More importantly, it gives you a clean baseline to measure ROI when you do find a tool worth scaling.

What ROI Looks Like in a Financial Advisory Firm

ROI in an advisory firm isn’t abstract. It’s hours saved, documents produced faster, and clients onboarded without friction. Let’s ground this in three workflows that consume the most non-billable time.

Meeting prep and notes. An adviser with 80 to 120 clients typically spends five to ten hours a week preparing for client reviews and writing them up afterwards. Preparation means pulling portfolio performance, reviewing recent emails and file notes, checking goal progress, and drafting an agenda. Follow-up means summarizing the conversation, updating the CRM, and sending a recap email. That’s 250 to 500 hours per adviser per year. At a $150 per hour opportunity cost, that’s $37K to $75K of time the firm can’t bill.

A Meeting Prep Agent built on Omni Ops pulls portfolio data from your PMS, recent comms from your CRM, and goal progress from your planning software into a one-page brief the adviser reads five minutes before the meeting. After the meeting, the same agent drafts the file note and recap email from the transcript. Total time saved: four to six hours per week per adviser. That’s $30K to $45K in recovered capacity per adviser per year. If you have five advisers, the ROI is $150K to $225K annually. The cost of the agent is typically $2K to $5K per adviser per year, depending on API usage and data volume.

Compliance documentation. SOAs, ROAs, and file notes consume paraplanner time. A typical SOA takes eight to twelve hours to draft, review, and finalize. At $80 to $120 per hour for paraplanner time, that’s $640 to $1,440 per document. A firm producing 50 to 100 SOAs per year spends $32K to $144K on drafting alone, not counting compliance review or revisions.

An Advice Document Agent drafts the SOA from the meeting transcript, the client’s fact-find, and the firm’s compliance template. The paraplanner reviews and refines it instead of writing from scratch. Drafting time drops from ten hours to two. That’s an 80% reduction in paraplanner cost per document. For a firm producing 75 SOAs per year, the saving is $24K to $86K annually. The agent costs $3K to $8K per year to run, depending on document volume and template complexity.

Client onboarding and KYC. Document collection, fact-finding, and risk profiling drag on. The typical onboarding cycle is 30 to 60 days from first contact to first advice meeting. Half of that time is waiting for the client to upload documents, fill out forms, and complete risk profiles. The other half is the adviser or paraplanner chasing the client and manually entering data into the CRM and planning software.

A Client Onboarding Agent runs a guided fact-find with new clients over email or a web form, collects KYC docs through a secure portal, and prepares a clean onboarding pack for the adviser. The client completes the process in one or two sessions instead of three or four. Onboarding time drops from 45 days to ten. That’s a 78% reduction in cycle time. For a firm onboarding 30 to 50 new clients per year, the saving is harder to quantify in dollars but shows up in two places: fewer lost prospects (clients who ghost during a slow onboarding process) and faster time to first revenue (the firm can start billing sooner).

These three agents, tracked properly, deliver measurable ROI in the first 90 days. The key is tracking usage and outcomes from day one so you can prove the value before you expand to the next workflow.

How to Track Spend and Usage Without Adding Overhead

The simplest tracking system is a shared spreadsheet with six columns: tool name, monthly cost, number of seats, primary use case, owner, and quarterly usage check. You update it once a month when you reconcile the company credit card. Every 90 days you send the owner a two-question survey: are you still using this tool? What’s the measurable outcome?

If the owner can’t answer in 30 seconds, you cancel the tool or put it on a 30-day probation. If they can answer, you document the outcome in the spreadsheet and use it to decide whether to expand usage to the rest of the team.

For firms with more than five advisers or more than ten tools, you’ll want a lightweight dashboard. Most expense management platforms (Expensify, Divvy, Ramp) let you tag transactions by category. Create a category called “AI tools” and tag every subscription. At the end of each quarter, export the category and compare it to your usage log. You’ll see immediately which tools are being used and which ones are zombie subscriptions.

The harder part is tracking outcomes. Most AI tools don’t have built-in ROI reporting. A transcription service will tell you how many hours of audio you’ve transcribed, but it won’t tell you how many hours you saved by not typing notes manually. A writing assistant will count words generated, but it won’t tell you whether those words were useful or whether the adviser would have written them faster by hand.

That’s where an Omni Audit becomes useful. We spend 60 minutes with your team mapping the workflows where you’re using AI tools, the manual steps that still exist, and the outcomes you’re trying to achieve. We give you three outputs: a workflow map showing where AI is working and where it’s not, a cost-benefit model showing ROI for each tool, and a 90-day roadmap showing which tools to expand, which to replace, and which to cancel. No deck, no fluff, just the numbers you need to make a decision.

Book a 60-min Omni Audit and we’ll show you exactly where your AI spend is going and what you’re getting for it.

The Case for Consolidating Around Agents Instead of Point Solutions

Point solutions solve one problem for one person. An agent solves a workflow for the whole team. The difference matters when you’re trying to scale AI across a firm.

A transcription tool gives you a text file. You still have to read it, summarize it, update the CRM, and send the recap email. A Meeting Prep Agent gives you the one-page brief before the meeting and the file note after. The transcription is a step in the workflow, not the outcome.

A writing assistant gives you a draft paragraph. You still have to check it for accuracy, rewrite it to match your voice, and insert it into the document. An Advice Document Agent gives you the full SOA draft with your compliance template applied, your client’s data inserted, and your firm’s standard language used throughout. The writing is a step in the workflow, not the outcome.

The ROI case for agents is stronger because the outcome is closer to what the business needs. You’re not paying for transcription, you’re paying for meeting prep. You’re not paying for writing assistance, you’re paying for compliance documents. The cost is higher per workflow but the value is higher per dollar spent.

The other advantage of agents is consolidation. Instead of managing eight to twelve point solutions, you’re managing two to three agents. Each agent handles multiple steps in a workflow. The Meeting Prep Agent pulls data from your PMS, CRM, and planning software. The Advice Document Agent drafts, formats, and checks compliance. The Client Onboarding Agent collects documents, runs the fact-find, and prepares the onboarding pack. You’re paying for three integrations instead of twelve. You’re training your team on three tools instead of twelve. You’re tracking ROI for three workflows instead of twelve.

That’s the argument for consolidation. It’s not about spending less, it’s about spending smarter. You’ll probably spend the same $15K to $40K per year, but you’ll get three to five times the value because the tools are doing full workflows instead of isolated tasks.

What to Do Before You Scale AI Across the Firm

Before you expand AI usage beyond the two or three people who are already using it, do three things.

First, document what you’re using and what it costs. Build the six-column spreadsheet I described earlier. Update it once a month. Share it with your leadership team so everyone knows what the firm is paying for.

Second, measure outcomes for 90 days. Pick one tool and one workflow. Track how many hours it saves, how many documents it produces, or how many clients it onboards. Use real numbers, not estimates. If you can’t measure it, you can’t prove ROI.

Third, get an outside view. Most advisory firms don’t have an AI specialist on staff. You’re relying on vendor marketing, conference buzz, and trial-and-error. That works for small experiments but it doesn’t scale. An audit gives you a structured way to evaluate what’s working and what’s not. We’ve run the AI audit for financial advisory firms with dozens of wealth managers and the pattern is always the same: two or three tools are delivering 80% of the value, four or five are delivering nothing, and the rest are somewhere in between.

The audit costs less than one month of your current AI spend and gives you a roadmap you can execute in 90 days. It’s the fastest way to separate signal from noise.

Why This Matters Now

Tiffany Luck’s comment about enterprises still figuring out AI ROI isn’t a criticism, it’s a reality check. Most firms are experimenting faster than they’re measuring. That’s fine for the first year. It’s not fine for year two. At some point you have to stop experimenting and start scaling. Scaling without tracking is how you end up with $200K in tool sprawl and nothing to show for it.

The firms that win in the next three years will be the ones that track spend, measure outcomes, and consolidate around agents that do full workflows instead of isolated tasks. The firms that lose will be the ones that keep adding point solutions, hoping something sticks, and wondering why their AI spend keeps growing while their productivity stays flat.

If you’re ready to track what you’re spending and measure what you’re getting, book my Omni Audit. Sixty minutes, three outputs, no deck. We’ll show you where your AI spend is going and what to do next.

For more on how AI agents work in financial advisory firms, see our guide to Omni Ops or browse the full library of insights on the EDNA site.