Most white collar work revolves around someone operating software. We build for specific business needs and run it, so your people can spend more time doing their jobs.
The point is to ENHANCE human productivity, not replace people.
For lending, investment and recruitment teams.
The first three results come from the same private real-estate lender; recruitment is a separate client engagement. Measurement periods differ. Company growth reflects a team effort; these results do not isolate the effect of AI or any one system.
The business: A private real-estate lender providing loans to property developers and investors. I worked inside the company, leading sales operations and marketing.
Loan volume went from $40M when I joined to $120M a year later—a 200% increase. This was a company and team outcome, not a result I claim on my own.
Figures supplied by the founder. Source and context →
The team: Salespeople at the same lender, speaking with developers and borrowers about financing their property projects.
Recorded calls to developer and borrower contacts increased from 17,495 to 26,805 across matched December–March periods. These are call activities, not unique people reached.
The source also reports 203.4 → 326.9 calls per salesperson per month (+60.7%). Its staffing denominator is not documented, so that rate has not been independently reproduced. Up to six recent call-date fields per contact were retained; older activity may be missing. Source and method →
The business: The same private real-estate lender. Its CRM is the contact database behind the sales team’s research, calls and follow-up.
The CRM recorded 10,618 truly new contacts, compared with 8,859 in the matched prior-year period. That is 1,759 more, or 19.86% growth.
Dec 1, 2024–Jun 18, 2025 versus Dec 1, 2025–Jun 18, 2026. A new contact has no normalized phone or email shared with an earlier CRM row under the chronological matching rule. This measures overall CRM inflow, not additions attributed solely to our system. Source and method →
The business: An executive-search firm that helps employers find and hire senior leaders. This was a separate client engagement.
Recorded meetings increased from 3 in December 2022 to 39 in October 2024—a 1,200% increase. This compares the first and latest recorded months, not matched years. It counts meetings, not hires or revenue.
Your contact list, prioritized from your own data. Higher-priority contacts rise to the top and colder ones sink, so the rep can start at the top.
Most of the work happens before the list exists. Almost every investment property is held inside an LLC, so what lands on a rep’s screen is a company name, and somebody has to find the person behind it and a phone line that actually rings.
The existing “Call immediately” and “Re-engage” groups show why the detail in a contact database matters.
I built VoiceBot using my own posts and comments. I paste in a message and it drafts a reply in my voice. I can edit it, copy it and send it myself.
It does a specific job. I still decide what gets sent.
Find the people behind company names, organize borrower and investor research, and give salespeople a useful place to start.
Research owners and capital partners. Keep contact details, opportunities and follow-up in one working process.
Organize investor and company research, fund information and follow-up. One client was an outsourced chief investment office (OCIO): a firm that manages investments on behalf of its clients. We built prospect lists from SEC filings by firm size, custodian and fit.
Research candidates and hiring decision-makers, prepare shortlists and keep outreach moving. See the meeting result →
Show us how your team works, where time goes and what gets in the way. A short call, with no obligation.
We identify where leads and follow-through get lost, using your own data. The audit is paid; its fee is credited to the build if you go ahead.
A short, paid build runs on your own contacts before you commit to anything monthly. The audit determines the job: a ranked call list, contact cleanup or an outbound sequence.
We operate and maintain the system, with documentation a non-engineer can follow. Ownership and usage rights are agreed up front. Pricing is a known cost per outcome, with no hourly billing.
Leak Audit: $3k–6k fixed, 10 days, on your own data. The fee is credited to the build. Funds can start with an LP-call package instead.
The top-line results give you the context. These are the specific jobs the systems did.
These leads had no phone number in the original list. Our system found one.
Both counts use the same 4,622 leads.
| Phone in both | 350 |
|---|---|
| Original records only | 22 |
| Our system only | 3,505 |
| Neither | 745 |
Original total: 372. System total: 3,855. Shared numbers may have been passed through. This counts numbers found, not whether each number is correct.
Source and method ↗
A smaller share of new developer and borrower contacts had a wrong or disconnected number.
Our system sent emails for 21 reps. The email provider marked 92.63% as delivered.
The old campaigns delivered about 25% or less when sending 100+ emails, based on Bill’s experience running them.
68,851 logged sends over 48 active sending days, April 15–July 21, 2026: an average of 1,434 per active day.
The 92.63% rate comes from a separate provider report on 42,438 requests in April–June. It measures server acceptance. The firsthand legacy estimate is a different measure, so it is not plotted as a directly comparable baseline.
Source and method ↗
We gave former employees’ contacts to current salespeople. We also prepared one shared list for emails, daily call lists and exports.
About 370,000 records in one maintained contact database.
The reassignment fields identify 71,762 contacts moved from 30 former owners to 19 recipients. In the retained August 2025–April 7, 2026 call history, 3,588 of that group were called and 1,322 had an answered call.
Reassignment dates are unavailable; the call records do not prove activity happened after reassignment. Reassignment is not the same as reaching every contact.
A documented call-list run distributed 9,003 contacts across 12 reps. Separately, 76,193 known-bad email addresses were permanently excluded. These counts overlap and are not added together.
Source and method ↗Of 26,371 delivered contacts, 18,861 were new to the database when delivered. That is 71.52%, or 72% rounded, including the permit list.
This is the founder’s corrected delivery total. The arithmetic was checked; the corrected canonical person ledger and exact delivery dates were not recovered. It is a separate population from the measured CRM-growth result.
Source and method →
The original target-contact analysis covers developers and borrowers over matched November–July periods. It includes a projected tail and uses a different population and dates from the measured +20% CRM result above.
A separate research system delivered 582 developer leads from 56,568 posts. These were outbound research results, not leads attributed to the Instagram posts. Source and method →
Counts come from separate populations and periods and are not added together. Read the evidence notes →
Agree on the scope, price and ownership up front.
We build around a specific job in your business and agree how it will be operated. We can join your team part-time or take on a fixed build.
Part-time from $8k/mo for 1–2 days a week, with a 3-month minimum. Fixed builds start at $15k. Code ownership depends on the project and agreement.
A ranked call list every day, with a reason next to each name. We also watch email deliverability and report results monthly. Anyone who opts out is excluded from further email.
From $7.5k, then from $1.5k/mo.
Build a DDQ answer library so fund information is organized and available when it is needed. Libraries start at $5k.
LP-call packages, quarterly updates and data videos are available under investor communications and video.
We normally start with the Leak Audit. Its fee is credited to the build. Request a short call →
Bill founded Capital Catalyst. He worked in investor relations at a growth-equity fund managing $1 billion—a fund that invests in growing businesses. Investor meetings grew from approximately 5 to 85 per conference. He later became Head Operator at a private real-estate lender financing property developers and investors, leading sales operations and marketing.
He built 22+ individual systems in 12 months, alongside that full-time role. His email system served 21 salespeople. His work spans software, research, outreach and video.
Master’s degree, London School of Economics.
Economics degree with honors, Fordham University.
I think AI will be widely adopted by the public, specifically through software applications. Think of road navigators, Apple Intelligence, meeting schedulers, companions.
But I don’t think that means we’re going to see everyone become a builder. People look at something impressive made with the HELP of AI, assume it’s easy, fumble around Claude Code and give up.
That’s why the Capital Catalyst business model focuses on creating specific use cases for businesses and operating them. You have people who know their jobs. We build around what they actually need.
Investor-call packages, number-checked quarterly updates, data videos and event coverage. A separate service for when you need to communicate the work.
One LP-call package, turned around in 72 hours, from $1k. Funds can start here without the Leak Audit. Data videos start at $4k. Quarterly updates are scoped separately.
A platinum-certified music video director with 50 music videos in his own YouTube playlist and IMDb credits for NBA YoungBoy and DaBaby. He now films corporate events with us under a partnership: annual general meetings (AGMs), investor days, conferences and launches. He shoots on site, and we edit and add charts built from your real numbers. Then we turn the day into a library of the full sessions, split by topic, plus a highlight reel and short clips.
See Nick Belotti’s IMDb credits (opens in a new tab) · See his 50-video playlist (opens in a new tab)
For the same private real-estate lender, our first 16 Instagram posts received 27,018 views. The previous 16 received 5,927.
Per post: about 4× the likes and 8.8× the comments, too.
Two reels contributed 17,442 views, or about 65% of the new set. The previous set had no reels, so format mix changed. This is an observed result, not a controlled test or performance promise.
New posts began May 13, 2026; counts were captured June 25–26. Views came from platform Insights screenshots. This does not measure leads generated by those posts.
Bill also used project photos to assess whether a prospect might need financing. That part of the prospecting method is based on his firsthand account.
Source and method ↗
It depends on the project and our agreement. We’ll agree on code ownership and usage rights before work starts.
A short, no-obligation call. Then a paid Leak Audit on your own data, with the fee credited to the build. Funds can begin with an LP-call package. See the process and audit price →
Separate client engagements and employed roles. Each comparison states its population and period. Company growth is a team outcome; the figures do not establish that AI or one system caused it. Read the evidence notes →
A short call. No obligation. Tell us what your team does today and where the work gets stuck.