Our Work
This is just a small sample of real projects with real results. Many of our engagements are under NDA and aren't shown publicly.
Solution Blueprints
Detailed breakdowns of how we solve real problems for specific industries. See what's possible for a business like yours.
How a General Contractor Eliminated 20 Hours/Week of Project Administration
The Problem
A mid-size general contractor running 8-12 active projects was drowning in administrative overhead. Project schedules lived in Excel, change orders were tracked in email, subcontractor documentation was scattered across shared drives and filing cabinets, and the office manager spent two full days each week compiling project status reports by pulling data from five different places. Estimating new jobs meant rebuilding takeoffs from scratch every time because historical data from past projects wasn't organized in any searchable way.
Our Solution
We would implement a three-phase approach. Phase 1: Connect the existing accounting system, scheduling spreadsheets, and document storage into a single project dashboard — so the PM, office, and field all see the same current status without anyone re-entering data. Phase 2: Automate change order tracking, subcontractor compliance document collection, and weekly status report generation. Phase 3: Build an AI-assisted estimating tool that draws on historical project data to generate first-pass estimates in hours instead of days, with the estimator reviewing and adjusting rather than starting from zero.
Expected Results
- Estimated 20 hrs/week saved on administrative tasks
- Project status reports generated automatically instead of 2-day manual process
- Change orders tracked from request through approval with full audit trail
- Estimating time reduced by 60-70% using historical data
- All project documents searchable from one place — office or job site
How a Property Management Company Automated Maintenance and Board Reporting
The Problem
A property management company overseeing 35 HOA communities was losing maintenance requests, spending days assembling board meeting packets, and fielding constant calls from residents asking about request status. CAMs were manually tracking violations in notebooks, creating compliance reports by hand, and sending the same community notices through three different channels because there was no unified communication system. Resident satisfaction scores were dropping and the company was losing bids to competitors who offered online portals.
Our Solution
We would build a resident-facing portal integrated with the existing property management software. Phase 1: Online maintenance request submission with automatic categorization, vendor assignment, and status tracking — residents see real-time updates instead of calling the office. Phase 2: Automated board meeting packet generation pulling financial data, maintenance logs, and violation summaries from the system into a formatted report. Phase 3: Unified communication platform that sends notices via each resident's preferred channel (email, text, app notification) with delivery confirmation. AI assists with violation documentation — photo uploads are automatically categorized and notice letters are drafted for CAM review.
Expected Results
- Maintenance request phone calls reduced by estimated 70%
- Board meeting prep reduced from 2 days to 2 hours per community
- Violation tracking fully digital with photo documentation and automated notice scheduling
- Resident communication delivered through preferred channels with confirmation
- CAMs managing 20% more communities without additional staff
How a Healthcare Practice Cut Administrative Burden by 40% with Private AI
The Problem
A multi-location medical practice with 15 providers was spending more time on administration than patient care. Front desk staff manually called patients for appointment reminders, resulting in a 15% no-show rate. Referral coordination between providers was done via fax and phone. The practice had three systems that didn't talk to each other — EHR, billing, and scheduling — requiring staff to enter the same patient information in multiple places. They were interested in AI but couldn't use public AI tools because of HIPAA requirements for protected health information.
Our Solution
We would deploy a HIPAA-compliant solution on private infrastructure. Phase 1: Integrate the EHR, billing, and scheduling systems so patient data syncs automatically — eliminating triple data entry. Phase 2: Implement automated patient communication — appointment reminders via text/email, follow-up instructions after visits, prescription refill reminders, and referral status updates. Phase 3: Deploy a private AI assistant running on our colocation infrastructure (never touching public cloud) to help with clinical documentation drafting, coding suggestions, and prior authorization form preparation. All AI processing stays within the controlled environment with full HIPAA audit trails.
Expected Results
- No-show rate estimated to drop from 15% to 5-7% with automated reminders
- Data entry time reduced by 40% through system integration
- Referral coordination automated — status visible to all providers
- Clinical documentation time reduced by estimated 30% with AI assistance
- Full HIPAA compliance maintained — patient data never leaves private infrastructure
How a Real Estate Brokerage Fixed Their CRM and Doubled Lead Follow-Up
The Problem
A 200-agent brokerage had a CRM that nobody used properly. Leads from Zillow, Realtor.com, and the website came in and sat untouched for hours because there was no automated first response. Agents logged showings inconsistently, pipeline data was fiction, and management had no visibility into which marketing channels actually produced closings. Listing marketing was entirely manual — every new listing required separately updating the MLS, website, social media, and email campaigns. The transaction coordinator tracked 30+ active deals in spreadsheets and regularly missed deadlines.
Our Solution
Phase 1: Reconfigure the existing CRM to match the actual sales process — automated instant response to new leads (text within 60 seconds, email within 5 minutes), pipeline stages that update automatically based on activity, and mobile-first interface so agents can log everything from their phone in 2 taps. Phase 2: Build listing marketing automation — agent enters listing data once, and the MLS, website, social media posts, and email campaign generate automatically. Phase 3: Implement AI-powered lead scoring that prioritizes which leads agents should call first based on behavior patterns, plus automated transaction checklists with deadline tracking and alerts.
Expected Results
- Lead response time reduced from hours to under 60 seconds
- Listing marketing time reduced from 3 hours to 15 minutes per listing
- Pipeline accuracy improved — management sees real data instead of guesses
- Transaction deadline tracking automated — nothing falls through the cracks
- AI lead scoring focuses agent time on highest-probability prospects
How a Wealth Management Firm Secured Client Data and Automated Reporting
The Problem
A wealth management firm with $500M AUM and 300+ client households was spending 3 days every quarter manually building client portfolio review presentations. Advisors pulled data from the custodian, formatted it in Excel, copied it into PowerPoint, and personalized each deck. Client documents were shared via email attachments — no encryption, no audit trail, no way to know if the client actually received them. The firm knew they needed AI to help with research and client communication, but sending client financial data to public AI tools was out of the question given SEC, FINRA, and state privacy requirements.
Our Solution
Phase 1: Build automated quarterly reporting — pull custodian data via API, generate formatted client presentations automatically with personalized commentary sections for advisor review. Phase 2: Deploy a secure client portal for encrypted document sharing, electronic signatures, and account access — replacing email attachments with a branded, auditable experience. Phase 3: Implement a private AI research assistant running on dedicated infrastructure that can analyze market data, generate client-specific commentary drafts, and summarize earnings reports — all without client data ever touching a public API. Add automated compliance monitoring that flags potential issues in real-time instead of waiting for quarterly reviews.
Expected Results
- Quarterly report prep reduced from 3 days to 3 hours
- Client document delivery fully encrypted with read confirmation and audit trail
- AI research assistant cuts analyst research time by estimated 70%
- Compliance monitoring automated — real-time alerts instead of quarterly catch-up
- Full regulatory compliance maintained — SEC, FINRA, PCI, state privacy
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