Practical workflow fixes that give your team back 10-15 hours a week. Built on the tools you already use. No platform to learn, no rip-and-replace.
What We Do
Two ways to work with us: get a clear plan for your operations, then bring it to life with a custom solution your team will actually use.
We work alongside your operators to identify bottlenecks, understand the tools and workflows behind them, and map out the cleanest path to a solution. You leave with a clear scope and implementation plan.
We build custom AI and automation around your team and existing infrastructure. Then we train your people, monitor performance, and fix issues so the solution keeps working in day-to-day operations.
Why Strat AI
Plenty of teams offer AI and automation. We earn your trust by understanding your operation, staying close to your team, and taking responsibility for the result.
We’re a young team that has grown up with technology and experienced operational bottlenecks firsthand inside a real estate firm. We understand the work behind the workflow.
We care about your company and our part in its success. We bring experience across a wide range of operational challenges and measure results with data.
We work with your existing infrastructure and the people who use it. Training and ongoing maintenance help turn a custom build into a tool your team relies on.
Work directly with our primarily US-based team. The people listening to your challenges are the people solving them.
We translate technical decisions into business terms and go deeper when your team needs the details. You’ll understand what we’re building and why.
A lean team keeps our costs competitive. We scope the work around your needs and make the cost of delivery and maintenance clear up front.
Featured Case Studies
Managed Portfolio Utility Operations
Development complete · Ready for deployment Explore the case study01 / Case Study
Dominion Financial is a real estate financing company serving investors and real estate professionals, with operations connected to a substantial portfolio of residential properties.
Managing a portfolio of this scale requires more than financing expertise. Behind the scenes, hundreds of properties generate utility bills, payment responsibilities, accounting records, and maintenance-related tasks that must be handled accurately and consistently.
With utility management workflows spanning more than 900 properties, Dominion Financial partnered with Strat AI Solutions to modernize a critical part of its operations through custom automation.
02 / Case Study
Imagine managing electricity and water accounts for more than 900 properties, each with different occupancy statuses, payment responsibilities, and billing activity.
For Dominion Financial, utility management involved coordinating information across multiple disconnected systems, including property management software, utility provider portals, and accounting tools.
The process required several important steps:
At this scale, repetitive administrative work can consume significant employee time and create opportunities for errors.
The challenge wasn't simply paying utility bills. It was coordinating an entire operational workflow across hundreds of properties without losing accuracy, visibility, or control.
Dominion needed a solution that could connect its existing systems, handle repetitive tasks automatically, and keep its team involved where human judgment mattered.
03 / Case Study
Rather than introducing another disconnected software platform, Strat AI Solutions developed a custom utility management system designed around Dominion Financial's existing operations.
The completed system brings several previously separate processes into one coordinated workflow.
The system retrieves electricity and water billing information from BGE and Baltimore City utility portals, eliminating the need to individually navigate hundreds of accounts as part of the intended workflow.
By connecting with Dominion's existing property management systems, the automation determines payment responsibility using occupancy information, property records, and billing dates. Tenant-responsible accounts can be excluded from Dominion's payment workflow.
The system evaluates utility consumption against established thresholds, flagging unusual activity that may require investigation. Depending on the situation, it can prepare notifications or maintenance work orders for staff review.
Automation handles bill collection and payment preparation, while Dominion's authorized employees retain control over payment execution. The system generates a consolidated report for review before approved payments are submitted.
Instead of preparing hundreds of individual accounting entries, the system generates a QuickBooks-compatible journal entry file, allowing property-level expenses to be imported in a single step.
A consolidated reporting workflow provides visibility into payment statuses, tenant responsibilities, and exceptions. Activity records are designed to be stored in Dominion's existing database, supporting traceability and accountability.
The result of the development engagement is a completed, custom-built system designed to handle a complex, multi-platform operational process while preserving human oversight.
04 / Case Study
Strat AI Solutions has completed development of Dominion Financial's custom utility management automation system.
The completed build establishes the foundation for several significant improvements:
The system is designed to manage utility-related processes across more than 900 properties through a unified automation workflow rather than a collection of disconnected tasks.
Automated bill retrieval, payment preparation, responsibility checks, and document generation are designed to reduce the repetitive administrative work associated with utility management.
The QuickBooks integration is designed to replace hundreds of individual journal entries with one import per processing cycle.
Automated exception detection and consolidated reporting are designed to help Dominion's team identify unusual utility consumption, payment issues, and accounts requiring attention.
Human approval remains central to the payment process, ensuring that critical financial decisions stay in the hands of authorized employees.
This project demonstrates what's possible when automation is built around a company's actual operations instead of forcing a business to adapt to generic software.
For Dominion Financial, Strat AI Solutions delivered a custom-built system designed to transform a complex, repetitive utility management process into a coordinated, scalable workflow.
More Problems We Can Solve
Valuable people spend hours on repetitive tasks. Explore 15 examples of custom systems we could build around the way your business already works.
Illustrative builds and potential benefits, tailored through audit and scoping.
The problemRoutine questions about rent, maintenance, and leases keep staff answering the same inquiries.
What we could buildAn AI assistant answers common questions and routes complex issues to your team.
An AI-powered communication assistant that connects with your property management software, answers routine tenant questions, collects necessary information, and routes complex issues to the appropriate team member.
Potential impactFaster tenant responses, fewer repetitive inquiries for staff, and more time for property managers to focus on higher-priority responsibilities.
The problemRequests arrive across channels, leaving staff to organize issues and chase updates.
What we could buildOne workflow collects requests, prioritizes issues, and coordinates work orders and status updates.
A centralized automation system that collects maintenance requests, categorizes them by urgency, creates work orders, routes assignments, and automatically sends status updates to tenants and property managers.
Potential impactLess manual coordination, faster maintenance workflows, and improved visibility into outstanding requests.
The problemMonthly reports require pulling financial, maintenance, and occupancy data from multiple systems.
What we could buildPrepare standardized owner reports and personalized summaries for your team to review.
An automated reporting system that gathers property information, organizes it into standardized owner reports, and prepares personalized summaries for review and distribution.
Potential impactHours of repetitive reporting work reduced, more consistent reporting, and quicker access to property performance information.
The problemProperty research and manual CRM entry take time away from relationship building.
What we could buildTurn authorized property data into organized, enriched prospect lists based on your criteria.
A research automation system that gathers information from authorized property data sources, organizes ownership and property details, enriches prospect records, and creates structured lead lists based on brokerage-defined criteria.
Potential impactLess time spent researching and entering data, more organized prospecting, and more time for brokers to build relationships and close transactions.
The problemOutdated records and missed follow-ups let valuable opportunities slip through the cracks.
What we could buildKeep CRM activity current, flag overdue follow-ups, and draft outreach for broker review.
An automation system that captures relevant communication activity, updates CRM records, identifies overdue follow-ups, and prepares personalized outreach for broker review.
Potential impactCleaner CRM data, fewer missed follow-ups, and a more consistent sales process without adding administrative work.
The problemDocuments, deadlines, and stakeholder updates require constant manual coordination.
What we could buildTrack milestones, organize documents, and send timely reminders from one workflow.
A transaction management automation that tracks milestones, organizes documents, monitors deadlines, and sends reminders or status updates to the appropriate parties.
Potential impactReduced administrative workload, fewer overlooked deadlines, and better visibility into active transactions.
The problemLoan teams spend hours requesting missing documents and following up with borrowers.
What we could buildGenerate tailored checklists, request secure uploads, and automate reminders for missing items.
An automated document collection workflow that generates personalized document checklists, sends secure upload requests, tracks outstanding items, and reminds borrowers when information is missing.
Potential impactLess repetitive follow-up, more organized loan files, and faster movement toward processing readiness.
The problemTeams manually transfer borrower information from applications and documents into lending systems.
What we could buildExtract key information, flag inconsistencies, and prepare structured records for staff verification.
An AI-assisted intake system that extracts relevant information from submitted documents, checks for missing or inconsistent fields, and prepares structured records for staff verification before entry into the loan origination system.
Potential impactLess manual data entry, fewer transcription errors, and more time for loan officers and processors to handle complex borrower needs.
The problemRoutine progress inquiries interrupt loan officers and require repeated status checks.
What we could buildSend approved milestone updates and alert staff when a borrower needs personal attention.
A communication workflow connected to the lender's loan origination system that sends approved milestone updates, requests outstanding items, and alerts staff when borrowers require personal attention.
Potential impactFewer repetitive status inquiries, more consistent borrower communication, and reduced administrative pressure on loan teams.
The problemScattered submissions leave lending teams manually organizing and screening incoming deals.
What we could buildCapture submissions, extract key details, and route opportunities using lender-defined criteria.
A centralized intake system that captures deal submissions, extracts property and borrower details, checks submissions against lender-defined criteria, and routes qualified opportunities to the appropriate team member.
Potential impactFaster initial screening, less time spent organizing submissions, and more attention directed toward promising opportunities.
The problemAnalysts spend substantial time assembling documents and data before evaluating a deal.
What we could buildOrganize deal materials and prepare standardized summaries for analyst review.
An AI-assisted underwriting preparation system that organizes submitted documents, extracts key financial and property data, identifies missing information, and generates standardized underwriting summaries for analyst review.
Potential impactReduced document preparation time, more consistent deal packages, and greater analyst capacity without automating final credit decisions.
The problemManual payment checks and reminders make it harder to spot accounts needing attention.
What we could buildMonitor payment records, flag upcoming or missed payments, and create follow-up tasks.
A loan servicing automation that monitors payment records, flags missed or upcoming payments, prepares approved borrower communications, and creates follow-up tasks for servicing staff.
Potential impactFewer manual servicing checks, more consistent borrower communication, and earlier visibility into accounts requiring attention.
The problemDisconnected forms, document requests, and account setup steps create administrative back-and-forth.
What we could buildCoordinate personalized checklists, secure information collection, and onboarding tasks.
A client onboarding automation that generates personalized checklists, securely collects required information, tracks completion, and coordinates administrative tasks between clients, advisors, and operations staff.
Potential impactLess administrative back-and-forth, more consistent onboarding, and a smoother experience for new clients.
The problemPreparing client briefings and updating records after meetings consumes valuable advisor time.
What we could buildCompile briefing materials and draft follow-ups, CRM updates, and tasks for advisor approval.
An AI-assisted workflow that compiles authorized client information before meetings, prepares briefing summaries, drafts follow-up emails, and creates CRM updates and action items for advisor approval.
Potential impactLess time spent preparing and documenting meetings, more consistent follow-through, and more time dedicated to client relationships.
The problemPeriodic reviews require gathering account information, reports, and outstanding tasks across platforms.
What we could buildAssemble review packages from approved systems and highlight missing information for advisors.
A reporting automation that retrieves information from approved portfolio and CRM systems, organizes client review materials, highlights missing information, and prepares standardized reporting packages for advisor review.
Potential impactReduced reporting preparation time, more consistent client service workflows, and greater operational capacity as the firm grows.
Pricing
Every operation is different. We define the scope together so you know what the work involves before moving forward.
Phase 1
First hour free for qualifying teams.
Start with an intro call to see if we’re a fit.
Phase 2
Delivery typically ranges from $10,000–$50,000.
For example, a $10,000 delivery typically means $500–$1,000 per month for maintenance.
How to Start
Book a 15–20 minute intro call. We’ll discuss your bottlenecks and determine together whether your team is a fit for the first free hour of audit and scoping, making the most of everyone’s time.
FAQ
The first hour of audit and scoping is free for qualifying teams. After that, rates are $100–$200 per hour, with hours depending on scope. Delivery typically ranges from $10,000–$50,000, with monthly maintenance typically 5–10% of the delivery cost.
We agree on the scope and success criteria before building. After delivery, we monitor the solution and address issues through ongoing maintenance, with support terms defined in your project agreement.
We build a custom solution around the scope developed with your operators: implemented on your tools, tested, deployed, and introduced to your team with documentation and training.
A workflow is a connected sequence of tasks, such as collecting documents, routing follow-ups, or updating deal status. We define the steps and integrations during audit and scoping rather than applying a fixed limit to every project.
No. We build on your existing stack (Google or Microsoft 365, CRM, Calendly, DocuSign, Make or Zapier, email).
We’ll review what you have during the intro call and audit. If foundational tools are needed, we’ll discuss them as part of the scope and implementation plan.
Yes. Delivery and maintenance includes training, monitoring, and fixes so your team can continue using a working solution. The ongoing scope and monthly cost are agreed with you before the engagement.
Start with a 15–20 minute intro call. If we’re a fit, we’ll arrange the first free hour of audit and scoping and confirm the schedule, access requirements, and next steps together.
We implement retries, backoff, and manual fallback paths so workflows stay operationally reliable.
We train your team and provide documentation, then stay involved to monitor the solution and fix issues under your maintenance agreement. Monthly maintenance is typically 5–10% of the delivery cost.
Meet Some of Our Team
Our young, AI-native team works directly with you from the first conversation through delivery and maintenance. We earn your trust through clear communication and work that helps your business succeed.
Founder, Chairman & CEO
I started my entrepreneurial journey in high school by founding and later selling Quick Check, an automated student attendance solution. During an internship at Creative Lending Solutions in Schaumburg, Illinois, I saw how much time repetitive, manual workflows consumed. That experience inspired me to found Strat AI Solutions while still in high school.
I previously attended DePaul University and am now pursuing my associate degree at Harper College while growing Strat AI.
As Founder and CEO, I lead strategy, growth, and operations, including business development, sales, client relationships, and strategic partnerships. I work closely with our team to turn real business challenges into AI-powered solutions with meaningful, measurable results.
I’m excited by AI’s ability to change how businesses operate and give people time back. I love building something from the ground up, solving difficult problems, and turning ideas into real value.
You’ll find me fishing, playing guitar, gaming, or exploring a new interest. I enjoy learning new skills and finding new ways to challenge myself.
Founding Team & CGO
I’m a junior studying Computer Science at Penn State University, with an interest in both building technology and growing a business around it. My development background helps me connect those two sides: understanding what’s technically possible, how it fits a client’s operations, and where it can make a meaningful difference. At Strat AI, I bring that perspective to both our growth efforts and the projects we deliver.
As Chief Growth Officer, I’m responsible for helping Strat AI scale and building the relationships that support that growth. I focus on connecting with businesses, understanding their challenges, and showing where our team can help. I also contribute on the technical side when needed, using my development skills to support projects and stay close to the work behind our client commitments.
I’m passionate about helping others, and that shapes how I approach our work. I want clients to feel heard, understand what we’re building, and see their problems getting solved. I care about the details that make a solution useful in someone’s everyday work, and I push for results our team can stand behind. Growing Strat AI means earning people’s trust, delivering on our promises, and giving clients a reason to keep working with us.
Outside of Strat AI, I trade the futures market, spend time in the gym, and follow my interest in cars. Trading challenges me to stay disciplined and make thoughtful decisions under uncertainty, while working out gives me a way to push myself and build consistency. Cars are another interest I enjoy exploring, from the engineering behind them to the experience of driving.
Chief Technology Officer
I’m a software engineer with a background in data science, automation, and engineering project management. I hold a Bachelor of Science in Applied Data Science from Penn State and am completing a Master of Computer Science in Software Engineering at the University of Sydney.
I’m CTO and Technical Lead at Strat AI, which I joined in August 2025. I own technical delivery across our projects, from scoping and architecture through to shipping. Day to day, I build reliable automation with Python, TypeScript, Playwright, and n8n, making sure what we build solves the client’s problem.
I love turning slow, manual work into something that just runs, especially the moment a client sees a process that used to take hours happen in minutes. AI is moving fast, and I’m excited about making it practical and dependable for real businesses.
AI is as much a hobby as it is my job. I spend my free time experimenting with new models and tools, building side projects, and attending Sydney’s tech and automation meetups to see what others are building. Away from the screen, I love cooking, going to the gym, and playing badminton.
Founding Team & COO
I’m a management student at Penn State University. My background spans business development, AI and private equity sales, and team leadership, with experience across startups, student organizations, and student government.
As Founding COO of Strat AI Solutions, I lead growth strategy, client consulting, outreach, and strategic partnerships. I coordinate cross-functional teams to design and deploy AI-powered automation solutions that solve complex operational challenges in finance and real estate.
I’ve been with Strat AI since May 2025. When I discovered the company’s LinkedIn page, I saw a strong mission in its early stages. I cold-emailed Yaseen and told him, “I can’t build your tech stack, but I can sell the vision.” That conversation led to me joining the founding team and receiving equity and voting rights in the company.
I’m an impact-driven person. Whether through my work or by advising and supporting my friends, I enjoy helping the people around me grow and succeed.
I’m an avid violinist and have played works by Beethoven, Tchaikovsky, Bach, and Mozart. I also enjoy long runs in scenic places, traveling to new destinations, and spending time with family and friends.
Client Implementation Developer & Technical Operations Intern
I’m a high school senior at Adrian Wilcox High School with a strong interest in software development and AI research. I’ve published two papers on large language models (LLMs), giving me valuable insight into how they can be applied to help people in their work.
I develop custom workflows for business clients using AI-native applications. I also help build internal tools that support outreach and client relationships.
I’m excited by AI’s ability to change the world for the better and help people do things that once felt out of reach. That potential drives me to keep learning, expand my knowledge, and build tools that help others.
I enjoy playing and watching sports, playing guitar and piano, and binge-watching mystery shows on Netflix or Prime. I also love meeting and talking to new people.
Client Implementation Developer
I’m an AI Engineer with 7+ years of experience in software development, specializing in Generative AI, intelligent automation, and full-stack applications. I hold a Master’s degree in Information Systems from Northeastern University.
At Strat AI, I develop AI-powered applications, integrate Large Language Models (LLMs), and build intelligent automation workflows. My focus is on creating scalable, reliable AI solutions that solve real-world business challenges.
I’m passionate about technology, solving challenging problems, and exploring new possibilities with AI. What excites me most is turning innovative ideas into practical solutions and seeing the positive impact technology can have on people’s lives.
I enjoy traveling, exploring new places, swimming, and playing board games. I love discovering new experiences and connecting with people.
Introducing the Audit & Scoping Bot
Turn operational challenges into a clear plan, guided by insights from our client audits and AI and automation builds.
We’re inviting a limited number of real estate and finance businesses to test and refine the bot before its planned public launch.
Early Access Application
Share your company details, operational challenges, and current use of AI.
Selected applicants will receive access instructions and next steps.
Application time: 2–3 minutes.
Complete the application in Google Forms.
Get in Touch
If you’re outside real estate or finance, or have a general question, we’d still like to hear from you.
