34 Franklin Ave, Suite #205
Brooklyn, NY 11205
www.rapidexaminers.com
Tele. 718-640-1435
Fax. 718-782-2598
orders@rapidexaminers.com
[RAPID EXAMINERS logo]
Prepared By: FR Page 1
Examiners Certification of Title Full Search
Prepared For: Title# Report Date:
Acme Title Company, Inc. TS-1001 08/12/2025
County: Kings
Address Block/Lot
710 East 3 Street Block: 5396 / Lot: 25
---- TITLE FOUND IN ----
Aaron Flohr
CRFN#: 2021000093520
Mortgages:
CRFN#: 2021000093521 MORTGAGE
P/O NAMES JUD PVB ECB FTL STW/SCW Liens
O Aaron Flohr 1 3 0 0 0 NONE
Donald D. Kahn 0 0 0 0 -
Elizabeth P. Kahn 0 1 0 0 -
Decl-Agmts:
LIBER/PAGE#: 3956/543 RIGHT OF WAY-see note within:
(fine print) PARTY NAMES WERE RESEARCHED SPECIFICALLY AS SPELLED ABOVE, USING THE
RESPECTIVE COUNTY OR STATE DATA RECORDS, AND NO RESPONSIBILITY IS ASSUMED FOR ERRORS OR
OMISSIONS OF THOSE COUNTY/STATE RECORDS. NO NAME VARIATIONS OR ALTERNATE SPELLINGS WERE
SEARCHED. PLEASE ADVISE FOR ANY VARIATIONS YOU WOULD LIKE SEARCHED.
RAPID EXAMINERS INC. DISCLAIMS ANY AND ALL LIABILITY TO ANY PERSONS OR ENTITY FOR THE
PROPER PERFORMANCE OF SERVICES REFLECTING THE CONDITION OF TITLE TO REAL PROPERTY. TITLE
ARE PROVIDED 'AS IS' WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING
WITHOUT LIMITATION ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE,
OR WARRANTIES BASED ON COURSE OF DEALING OR USAGE IN TRADE OR ERRORS OR OMISSIONS
RESULTING FROM NEGLIGENCE. THIS IS NOT AN INSURED SERVICE.
THIS DISCLAIMER SUPERSEDES ALL PRIOR AND CONTEMPORANEOUS UNDERSTANDINGS. THE SERVICES
ARE EXCLUSIVELY FOR ENTITY NAMED ABOVE AND NOT FOR THE BENEFIT OF ANY THIRD PARTIES.
THE ABOVE LISTED NAMES IN THIS EXAM WERE RESEARCHED AGAINST THE OPEN STATE TAX WARRANTS
AND STATE CHILD SUPPORT ENFORCEMENT WARRANTS FILED WITH THE NYS DEPARTMENT OF STATE
SINCE JULY 1, 2025.Title Company
AI Implementation
Title companies run on repetitive, document-heavy workflows — title searches, commitments, clearing exceptions, and closings. Your 25 years of operations experience plus AI knowledge is exactly what these offices need to cut the manual work. This module shows you what to look for and how to pitch it.
Complete Both Courses & Quizzes
Go through every lesson in this app. Take both quizzes until you score 80%+. This gives you the vocabulary and confidence to speak intelligently about AI and title operations. You don't need to be a tech expert — you need to ask the right questions.
Shadow the Title Company (1–2 Days)
Ask permission to sit and observe for a day or two before you propose anything. Watch what each person does all day. Take notes. Map each task: "Who does it? How long does it take? How often? How repetitive is it?" This is exactly what you've done in warehouses for 20 years — same skill, new setting.
Build Your Workflow Map
Create a simple diagram (even on paper) of every step from the moment an order comes in to the moment the policy is issued. Mark in red every step that is: repetitive, data entry, document-generation, or manual lookup. These red areas are your AI targets. Show this to the owner — it will impress them immediately.
Identify 3 Specific AI Wins
Pick the top 3 tasks you believe AI can handle. Research ONE tool for each. Good starting points: (1) Document drafting → ChatGPT or Claude with a custom prompt, (2) Title report writing → specialized tools like ResWare or SoftPro with AI add-ons, (3) Exception identification → AI document review tools. You don't need to be the tech expert — you find the problem, then partner with or hire a tech person to implement.
Present a Simple Proposal
One page. Show: (1) Current cost of doing X manually — hours × salary, (2) What AI tool could do it for, (3) Estimated savings per month/year, (4) Your fee for setting it up and managing the transition. You're not selling software — you're selling time savings and headcount reduction. That's a language every business owner understands.
Structure Your Consulting Fee
Start with a flat project fee for the assessment + implementation plan (suggest $3,000–$7,000 for a company this size). Then offer a monthly retainer to manage and optimize ongoing ($1,500–$3,000/mo). As you get results, charge a % of savings. Your first client is your case study for the next ten.
Build Your Credibility
Take a free or low-cost online course in AI basics: Google's "AI Essentials" (free), Coursera's "AI for Everyone" by Andrew Ng (~$49). Get a LinkedIn profile that says "AI Workflow Consultant — Operations Expert." Document your title company results with numbers. That becomes your pitch to the next client.
Your Unfair Advantages
- You've run a $75M operation — you understand scale, accountability, and real cost
- You know how to find problems before anyone admits they exist
- You speak "operations" — not tech jargon. That's exactly what business owners trust
- You have a live test case willing to work with you right now
- Most "AI consultants" have never managed anything — you have 20 years of proof
What you do: Sit with or observe each person in the office for at least 30 minutes. Watch what they do on their screen. Every time you see them do the same action twice — write it down.
What to Look For
- Typing the same kind of information into a form over and over (names, addresses, dollar amounts)
- Copying text from one program and pasting it into another
- Opening the same type of document repeatedly to read one or two pieces of information
- Sending the same type of email with small variations (order confirmations, status updates)
- Checking a list or checklist the same way for every file
Questions to Ask While Observing
A list of at least 5–10 repetitive tasks ranked by: how often they happen × how long they take. The top 3 on that list are your first automation targets.
What you do: Pick one data point — for example, the buyer's name on a real estate transaction. Then trace it: where does it come in? Who enters it first? Does someone else re-enter it somewhere else? How many times is it typed manually?
What You're Looking For
- The same data entered in more than one place by more than one person = clear automation win
- Data that travels by email or phone instead of automatically = integration opportunity
- Data that sits waiting in someone's inbox or pile before being entered = bottleneck caused by manual process
- Data that sometimes has errors because it was re-typed = quality problem solvable by automation
A simple diagram — even on paper — showing the journey of that data. Circle every spot it was touched manually. Each circle is a potential automation point. Show this to the owner. It will surprise them.
What you do: Have a 10-minute conversation with 2–3 staff members privately. Not to report to the boss — just to understand where their day gets stuck. People know exactly where the problems are. They just don't get asked.
Ask These Exact Questions
Important
Be honest with staff that you're looking to make their work easier, not eliminate their jobs on the spot. People open up when they trust you. Resistance comes from fear — address it early.
The real pain points — not the ones the owner guesses at, but the ones the people doing the work live with every day. These become your most compelling selling points.
What you do: For each repetitive task you identified, calculate its real cost. This is the most important thing you bring to the owner meeting.
The Formula
- Step 1: Minutes per task × number of times per day = minutes per day
- Step 2: Minutes per day ÷ 60 = hours per day
- Step 3: Hours per day × 5 days × 50 weeks = hours per year
- Step 4: Hours per year × hourly cost (salary ÷ 2080, then × 1.3 for benefits) = annual cost
- Example: 30 min/day × 5 days × 50 weeks = 125 hrs/year. At $22/hr loaded = $2,750/year just for that one task
A one-page summary: "These 5 tasks cost you approximately $X per year in labor. Automating them would reduce that cost by 70%, saving $Y annually." That's your proposal foundation.
What you do: Identify every place in the workflow where someone reads a document — a deed, an email, a lien record, a letter — and pulls specific pieces of information out of it manually.
Why This Is an AI Opportunity (Not Just Automation)
- Simple automation handles buttons, fields, and structured forms — things with a fixed location
- AI handles unstructured text — reading a paragraph and understanding what it says
- If someone reads a document and types key facts from it somewhere else, that's AI territory
- At a title company: reading deeds for legal descriptions, reading liens for amounts and dates, reading mortgages for lender names — all AI candidates
What to Ask
A list of documents that humans currently "read and extract from." Each one is a candidate for AI document processing — one of the highest-value AI capabilities available today.
What you do: Collect samples of every document type the company writes regularly — letters, reports, commitments, exception write-ups, notices, emails. Ask for 3 examples of each. Look for patterns: are they mostly the same with small variations?
What Makes Something an AI Writing Candidate
- The document follows a predictable structure every time
- The variable information (names, amounts, dates, property addresses) comes from data already in the system
- The person writing it is essentially filling in blanks in a mental template
- It takes 15+ minutes to write but only 2 minutes to review for accuracy
For a Title Company, These Are Your Targets
- Title commitment letters (Schedule A and B)
- Exception write-ups ("We have found an open mortgage in favor of...")
- Requirement letters sent to parties ("Please provide a release of...")
- Status update emails to realtors and lenders
- Post-closing confirmation letters
A stack of real document samples with notes on how long each takes to write. AI can draft these in seconds. That time savings is your most convincing demonstration.
What you do: For every task on your list, run it through this four-question test. The answers tell you whether it's automation, AI, both, or neither.
The 4-Question Filter
- Q1: Is it the same steps every time? YES = automation candidate. NO = may need AI or human.
- Q2: Does it involve reading or understanding unstructured text? YES = AI candidate.
- Q3: Does it require judgment that changes based on context? YES = keep human involved (AI assists only). NO = full automation potential.
- Q4: What's the cost of getting it wrong? HIGH stakes = always have human review AI output. LOW stakes = can fully automate.
Same steps + reads documents + some judgment = AI-assisted
Requires relationship or empathy = Human only
High stakes output = AI drafts, human approves
A categorized list: Full Automation / AI-Assisted / Human Only. This is what you present to the owner. It shows you understand the difference — and that builds trust immediately.
What you do: Pick the single best writing task you identified — the one they do most often. Get a real example of the output (a letter, a report). Then go to Claude.ai or ChatGPT and write a prompt that produces the same document. Practice until it looks right.
How to Build a Simple Demo
- Get a real blank template of the document (e.g., a title commitment letter)
- Note all the variable fields: buyer name, property address, loan amount, exception descriptions
- Write a prompt like: "You are a title company assistant. Generate a title commitment letter using these details: [details]. Follow this format: [paste format]"
- Test it with 3 real examples from their files. Adjust the prompt until it's 90% accurate
- Show the owner: "Here's what your team spends 45 minutes writing. Here's what AI produces in 8 seconds."
Be Transparent
Tell them: "This is a first draft — your examiner reviews it before it goes out. But it gets them to 80% done in seconds instead of starting from scratch." This is honest and still impressive.
A live demonstration you can show in the meeting. Nothing closes a consulting deal faster than showing the technology working on their actual work.
Complete all 8 tasks before your first proposal meeting. Each one gives you something concrete to show or say. Together, they make you look like someone who has done this before.