7 Reports Every RIA Should Be Running Automatically (But Most Still Do Manually)

If your Registered Investment Advisor firm is still building monthly reports in Excel, this is for you.

A hands on guide for COOs, practice management leaders, and operations heads at RIAs ready to move from monthly spreadsheet reporting into a live operational system.

Why So Many Registered Investment Advisor Firms Are Still Reporting the Slow Way

If you walk into any growing Registered Investment Advisor firm today, the story usually sounds the same. The firm has more client data than ever before. There is a CRM in place. There are custodial feeds, planning tools, portfolio reporting platforms. The investment in modern technology has happened.

So why does monthly reporting still get put together in Excel by somebody on the operations team?

It is a fair question, and most leadership teams cannot quite explain it. The truth is that reporting just never got rebuilt to match the technology underneath it. Your firm grew. Your tools improved. But the reporting process stayed almost exactly the same as it was a decade ago.

The cost of that gap is real. Research from Kitces shows that the average advisor spends only about 20% of their week with clients. Most of the rest is operational work that automation could be handling. And according to Cerulli Associates, independent Registered Investment Advisors (RIAs) now manage over $7 trillion in client assets, with that number climbing faster than any other segment in wealth management. Growth is the easy part. Scaling the operations underneath it is where firms either pull ahead or get stuck.

When your leadership cannot see advisor performance, household retention risk, or pipeline movement until the data is already two or three weeks old, the firm is essentially running off the rearview mirror. That is not just an operations issue. It is a strategic one, because every decision made on old data is one a competitor can make faster with current data.

Before walking through the seven reports themselves, here is something we have seen at almost every RIA audit we have run.

That observation captures the real bottleneck. If you can solve the speed problem, almost every other reporting struggle gets easier. So here are the seven reports every RIA should already have running automatically, plus the patterns that usually keep them stuck on manual.

The 7 Salesforce Reports Every RIA Should Automate

Below are the seven reports we see deliver the highest operational return when RIAs move them from manual to automated. Each one builds on the foundation of the others, which is why the order matters as much as the work itself.

1. Assets Under Management (AUM) by Advisor

Think of this as the foundation everything else sits on. If your leadership team cannot see clearly how much each advisor has in their book, almost nothing else works. You can't really judge performance fairly. You can't plan ahead for capacity. And forecasting revenue starts to feel like guesswork.

Yet most RIA firms are still pulling this report together the same way they were doing it years ago. Custodial data gets exported into a spreadsheet. Somebody on the operations team reconciles it by hand. The finished report finally lands on the CEO's desk around the second week of the next month. By then, the numbers inside are already a few weeks old.

Here are the gaps an automated version closes:

• Custodial systems and your CRM usually hold the same data with slightly different definitions, which creates ongoing reconciliation work
• Pulling the gaps together by hand eats hours of operations time every cycle
• By the time leadership trusts the final number, the report has already aged out of usefulness

Real example: A 12 advisor RIA we worked with was spending the first week of every month rebuilding their AUM report. The process involved pulling custodial exports into a master spreadsheet and matching the numbers against CRM households by hand. We connected the custodial feeds directly into Financial Services Cloud, set up the household model the right way, and built the reporting through Tableau. The first week of every month went back to actual client work, and leadership stopped flying blind for nearly three weeks out of every reporting cycle.

How Pivotal Leap helps: We configure the FSC household model, build the custodial integrations, and design the Tableau dashboards your leadership team will actually open. Most engagements run six to ten weeks for AUM reporting alone.

Once AUM reporting runs on its own, the next question is where your firm is heading, which is what the NNA report tells you.

2. Net New Assets (NNA)

AUM tells you where your firm stands today. Net New Assets tells you where it is going. The thing that makes NNA so valuable is that it cuts straight through market noise and shows you whether your firm is actually attracting and retaining client capital. Plenty of RIAs look great on AUM growth that is really just market movement carrying them along, and they look much weaker once you look at the NNA underneath.

What a good NNA report should track:

• Gross new assets coming in, broken down by household and advisor
• Outflows from existing clients, categorized by reason wherever possible
• Net flows by advisor, segment, and geography for trend visibility
• Trajectory comparison against prior periods and firm targets

Real example: A $1.4B AUM firm we worked with was only reviewing NNA quarterly. By the time the report came out, the quarter was already finished and any chance to course correct was gone. We moved NNA tracking into FSC, with categorization captured at the moment of activity instead of being recalled later by advisors. Leadership now sees the daily trajectory, and last year they caught a drift in Q2 early enough to adjust advisor compensation conversations before the quarter closed instead of after.

NNA tells you about new assets coming in and old ones going out. The next layer is what predicts whether those assets stay.

3. Client Meeting Frequency

Across any 200 household book, the single most observable predictor of retention is how often the household actually meets with their advisor. Households that meet on a real cadence stick around. The ones that go months without contact start quietly wondering if the relationship is even active anymore. They usually do not say anything. They just slowly disengage.

Your meeting frequency report should surface:

• Every household grouped by its defined meeting cadence (quarterly, semiannual, annual)
• Days since the last meeting for each household, with overdue ones flagged automatically
• Coverage gaps by advisor so leadership can spot pattern level issues
• Trend data showing whether coverage is improving or eroding across the firm

Real example: A mid size RIA had been losing clients quietly for years without really knowing why. Every post mortem turned up the same pattern. Six months had passed since the household's last meeting before they disengaged. What we did was turn on Einstein Activity Capture, which logs client interactions into the system automatically without anyone needing to type them in. From there, the system sent overdue alerts based on the meeting rhythm each household was supposed to follow. About a year into running this, the firm's retention across the entire book had climbed by 3.2 percentage points.

How Pivotal Leap helps: We get Einstein Activity Capture switched on, define the right meeting cadence for each household type your firm serves, and build the Tableau dashboards that show your leadership team where coverage is solid and where it's slipping.

Meeting frequency keeps relationships alive. The next report keeps them strategically valuable.

4. Financial Plan Completion Rate

Incomplete financial plans cost your firm in three different ways at once, and most leadership teams underestimate the total. You get more service requests because advisors are working without the full picture. You get higher churn because households stop seeing your firm as adding strategic value. And you carry real compliance risk because you are running without a documented advice trail.

What your plan completion report should include:

• Households grouped by planning stage (no plan, in progress, recently completed, due for refresh)
• Time spent in each stage, with stalled plans flagged for follow up
• Completion rates by advisor, segment, and household tier
• Households overdue for a planning refresh based on your defined cadence

Real example: One RIA running 180 households had no firm wide view of planning status. When we asked the COO what completion looked like, he genuinely thought "most" of the book had current plans. When we pulled the actual data through FSC Action Plans, the real number was 41%. Six months later, with workflow tracking running and stalled plan alerts firing automatically, that number had climbed to 78%. Same advisors. Same households. Just enough visibility for the firm to act on what was already happening.

Retention reporting tells you where households stand today. The next report tells you what is coming through the pipeline tomorrow.

5. Pipeline Aging

Pipeline health is the earliest signal your firm has about where NNA is headed. A strong, moving pipeline today usually means predictable growth six months out. A pipeline full of stalled prospects means a slowdown that your AUM numbers will not pick up on until well after the fact, when there is not much left to do about it.

Your pipeline aging report should surface:

• Prospects grouped by stage (initial conversation, qualified, proposal, closing)
• Time spent in each stage, with aging prospects flagged for advisor follow up
• Pipeline value weighted by stage probability
• Forecast accuracy compared against actual closes over time

Real example: A growing RIA had been running monthly pipeline reviews that were really just storytelling sessions. Each advisor walked through their list of prospects from memory, with no data to back it up. Once we put Einstein AI scoring on top of the pipeline data they already had, the forecast started actually matching reality. By the end of year one, the firm's forecast accuracy was up 28%. The monthly pipeline review became a different kind of meeting. Less "walk me through each name on your list" and more "the system thinks these three are likely closing this quarter, let's talk about those."

The Numbers: Across the RIA firms we've worked with, layering Einstein AI scoring on top of a Tableau pipeline dashboard usually moves forecast accuracy up somewhere between 20% and 35% within the first year. Big enough that pipeline meetings become useful instead of being a guessing exercise.

Pipeline tells you about future growth. The next report tells you which existing households might quietly walk out before that growth ever lands.

6. Client Retention & At Risk Households

By the time a household tells your firm they are leaving, the decision was already made weeks ago. The signals that pointed to this outcome were there all along. Declining engagement. Slower responses to outreach. Smaller withdrawals that nobody flagged. The problem is that no system was watching for those signals.

Honestly, most RIA churn is preventable if you catch it early enough.

What your at risk report should track:

• A drop in meeting frequency relative to the household's defined cadence
• A reduction in portfolio engagement (fewer questions, no rebalancing requests, no planning updates)
• Outflow patterns, including small but consistent withdrawals over time
• Service signals from case patterns and response sentiment trends

Real example: A wealth firm with $2.3B AUM had been losing roughly 8 households a year to competitors. We deployed Einstein retention scoring across their entire book. Within the first six months, the system flagged 11 households as at risk before any of them would have shown up on advisor radar. The advisors did proactive outreach on all 11. Nine households stayed. Two left anyway. The seven retained households alone covered the cost of the entire engagement.

How Pivotal Leap helps: We configure Einstein retention scoring against your specific household behavior patterns, build the Tableau dashboards that surface at risk signals, and design the outreach workflows that route flagged households to the right advisor with full context.

Retention reporting protects the book you have. The final report makes sure your advisors are the ones building it forward.

7. Advisor Performance Benchmarking

Advisor performance is the lever underneath nearly every other metric in your firm. Revenue. Retention. Growth. Capacity. If you are not measuring advisor performance consistently and visibly, leadership cannot coach, develop, or compensate fairly. Most RIAs run quarterly performance reviews built from whatever data each branch manager happened to pull together that week. That kind of inconsistency makes real comparison between advisors almost impossible.

What your benchmarking report should compare, normalized for book size and tenure:

• AUM and NNA per advisor
• Retention rate by advisor and household tier
• Meeting cadence consistency and planning completion rates
• Pipeline contribution and conversion accuracy

Real example: A 20 advisor RIA had been doing quarterly performance reviews using whatever data each branch manager happened to pull together at the time. The CEO had a strong sense that some advisors were stronger than others, but no real way to compare them on equal terms. We built standardized Tableau scorecards drawing from one unified FSC data foundation. Within two quarters, the firm identified three top performing patterns they could coach across the rest of the book. They also surfaced one advisor whose retention numbers had been quietly slipping for over a year, which would never have been visible under the old process.

So those are the seven reports. The next question is what they look like before and after automation, side by side, so you can see the shift concretely.

What Changes When These 7 Reports Get Automated

Each of these reports tells the same before and after story. Here is the comparison in one view:

The pattern shows up the same way across all seven. Manual reporting is slow, fragmented, retrospective, and expensive in operations hours your team will never get back. Automated reporting is continuous, unified, and gives your leadership the visibility to act on problems before they turn into actual losses.

Seeing what the end state looks like is helpful. But getting there without your team burning out depends almost entirely on the order in which you do the work. The next section walks through the order that has worked best across the firms we've helped.

How to Sequence Your Rollout Without Overloading Your Team

Here's the thing about automating these seven reports. You really don't have to do them all at once. Actually, trying to do them all at once is one of the biggest reasons these projects stall out in the middle. Each report depends on the foundation of the one before it being solid. Below is the order we usually recommend, based on what we've watched work for firm after firm.

Done in this order, your firm typically sees operational wins inside the first quarter rather than waiting nine months for the full transformation to land. Many of the firms we work with see the at risk report alone cover the cost of the entire engagement within the first year. Once the rollout is sequenced, the larger question is what the transformation actually changes for your firm over time.

Conclusion: The Data Is Already There. The Question Is How Fast You Can See It.

Across every RIA firm we work with around the country, the pattern is the same. The firms that scale cleanly over the next five years are not the ones making this shift in a panic. They are the ones who decided to build their reporting foundation while the team still had the space to plan carefully. By the time reporting becomes a real crisis, the fix is already more expensive than it ever needed to be.

What we keep finding when we look closely at an RIA firm is that the tools to solve this are already in the building. Financial Services Cloud, Tableau, Einstein AI, your custodial feeds, your planning tools. The data is already in those systems. The real problem is not the technology, and it is not the data either. The gap is the time between something happening in the firm and your leadership being able to see it. Closing that gap is almost always possible with what the firm already owns.

Pivotal Leap is a Salesforce implementation partner specializing in Financial Services Cloud, Tableau, and Einstein AI for Registered Investment Advisor firms, wealth management practices, and broker dealers. We start with a focused diagnostic of your current reporting environment, identify which of the seven reports above will deliver the highest immediate return, and sequence the build so your team sees real operational wins inside the first quarter rather than waiting until the end of a long project. Our Salesforce Financial Services Cloud services handle the architecture and integrations, and our Salesforce managed support services keep the system tuned as your firm grows.

Frequently Asked Questions

Sources & References

Pivotal Leap Financial Services:

• Salesforce Financial Services Cloud Implementation
• Salesforce Managed Support Services
• Pivotal Leap Homepage