Lake Forest Hire: Can the Back Office Scale with AI?

When a wealth firm hires a 25-year rainmaker to chase ultra-high-net-worth families, the relationships are the easy part to picture. The harder part shows up later, in the back office. In April 2025, Crescent Grove Advisors named Adam Lieb its Chief Business Development Officer. Lieb led Global Family Office client strategy at BNY Wealth and spent more than 13 years at Fidelity Family Office Services, per the firm's announcement. He was hired to bring in relationships. Every relationship he brings in also brings paperwork.

That is the real test of Lake Forest wealth management AI workflows. A rainmaker brings the book. Each new household arrives with onboarding documents, accounts spread across several custodians, and a standing demand for clean reporting. The question is not whether the book grows. It is whether operations can grow with it, and that is where AI workflow automation earns its keep.

A Relationship Hire, Not a Headcount Hire

Crescent Grove hired a senior rainmaker, not a back-office body. The firm is an employee-owned wealth and family-office boutique founded in 2015 by four former Goldman Sachs Ayco executives, with offices in Lake Forest, Milwaukee, and Atlanta, and more than $5 billion in client assets, according to the firm's own materials. Naming Lieb as Chief Business Development Officer puts a 25-year family-office veteran in charge of organic growth and new-client acquisition.

Founder Gregg George was direct about why. He said Lieb's network in the family-office and ultra-high-net-worth world would help the firm accelerate growth. Read it as a deliberate, confident move by a firm that knows what it is. The part worth sitting with is what happens after the new relationships start landing.

Why Does a Wealth Firm's Growth Depend on Its Back Office?

Because a new relationship is not just revenue. It is work. Each ultra-high-net-worth household or family-office client arrives with onboarding paperwork, accounts spread across several custodians, and a standing demand for clean quarterly reporting. Third-party advisor directories put Crescent Grove near 390 client relationships with an average client size around $14 million on a team of close to 40 people, per directory disclosures. At that ratio, every new household adds real operational drag.

The vertical is already moving. EY's 2025 survey of wealth and asset managers found that 95 percent have scaled generative AI to multiple use cases and 78 percent are exploring agentic AI, per its GenAI in Wealth and Asset Management survey. The more telling number is where that adoption actually lands.

Among wealth managers, EY found that 64 percent report an incremental impact from generative AI and 32 percent report a substantial business impact. Read that the right way. Operational scaling does not arrive in one move. It comes from understanding where the work actually sits in the data, then embedding intelligent, automated workflows directly into the middle- and back-office software so the system handles manual data triage instead of a person doing it by hand. EY also found that 68 percent of firms expect substantial workforce transformation over the next five years, concentrated in exactly those middle- and back-office roles. That is the same point we make about why Highland Park family offices run AI in house: the operational work is where the payoff sits, not the headlines. The plain risk is that a great hire can outrun the operations behind it.

Crescent Grove has put that growth on display in another way. The firm relocated its principal office to a new space on Saunders Road in Lake Forest in September 2025, per its SEC brochure, the kind of visible move that signals momentum to clients and recruits. A new address, though, does not reconcile a single statement. For a wealth management firm, the structural scaling that keeps advisors in front of clients, rather than buried in manual back-office tasks, has to happen inside the software workflows, not just the square footage.

Three Ways a Lake Forest Wealth Firm Could Put AI to Work

Hypothetical workflows a firm could run, each with a prompt you can paste into Claude today.

Use Case 1: Assemble a New-Client Onboarding Packet in Minutes

Turn an intake call and a few statements into a structured packet a person reviews.

A growing wealth firm could turn an intake call and a handful of source documents into a structured onboarding packet, with a human reviewing before anything is sent. The point is not to skip the advisor. It is to hand the advisor a draft instead of a blank page, and to catch the missing documents before they become a week of email.

Use Case 2: Turn Multi-Custodian Statements Into a Reporting Draft

Compress hours of quarterly reconciliation into a first draft an analyst checks.

An operations lead might compress hours of quarterly statement reconciliation into a first-draft report that a person checks and signs off. The system does the matching and the arithmetic. The analyst does the judgment, especially on the figures the system could not reconcile, which is exactly the list it should be made to surface.

Use Case 3: Build a Referral Research Brief for the Growth Pipeline

Give the new growth chief a one-page brief before each first meeting.

A business-development team could give a new relationship lead a one-page brief on each warm referral before the first meeting. This is the use case that ties straight back to Lieb's mandate. A growth chief living on referrals does not want to walk in cold, and a tight, fact-checked brief is the difference between a good first meeting and a generic one.

What Should a North Shore Wealth Firm Do First?

Start with one workflow, not a platform. Pick the most repeatable, highest-friction task you have, usually onboarding or quarterly reporting, map exactly how it runs today, then automate the mechanical parts and keep a person on the review. That is the whole of an AI Workflow Automation engagement: find the workflow that eats the most hours for the least judgment, build the system around it, and leave the advisor in control. It is the work we do at Bace Agency, and you can see the shape of it in our North Shore family-office case study.

Bace is based in Lake Forest and works with firms across the North Shore. Our founder, Michael Pavlovskyi, has delivered 97+ software and automation projects with 95 percent client retention. The reason to start small is not caution for its own sake. It is that a growing firm feels operational drag exactly when a rainmaker hire lands new relationships, which is the worst time to be reorganizing the back office under pressure.

Frequently Asked Questions

What This Does Not Replace

AI workflow automation does not replace the advisor or the relationship that made the hire worth making. It does not set the financial plan, pick the managers, or sit across the table from a family deciding what to do with its money. What it does is take the paperwork, the reconciliation, and the reporting prep around those decisions and do them faster, so the people who do the advising spend their hours advising. Client data stays inside the firm's controlled environment, and a person signs off before anything reaches a client. A firm that treats automation as a way to protect advisor time, not replace advisor judgment, is the one that grows without breaking.

The hire is the bet most firms can see. The operations behind it are the part that decides whether the bet pays. Watch how fast Crescent Grove's book grows now that Lieb is in the seat, and watch whether the back office keeps pace quietly. If you run a North Shore wealth or family-office firm and you can feel operations starting to strain, the first step is small: map one workflow and rank it by hours saved. We can do that in a free 30-minute AI audit, in person on the North Shore or by video, whether or not you work with us afterward.