Every project we ship is designed to pay for itself. Here is how our AI automation solutions have transformed businesses across industries.
Regional brokerage with 45 agents across 3 offices
This growing brokerage was drowning in manual lead routing, follow-up sequences, and document preparation. Agents spent more time on admin tasks than selling. We built an end-to-end automation system that handles everything from lead capture to closing prep.
Leads from Zillow, Realtor.com, and their website landed in different inboxes. Agents manually tracked follow-ups in spreadsheets, losing deals to slow response times. Transaction coordinators spent 6+ hours per deal on paperwork assembly.
We deployed an AI-powered lead router that scores incoming leads, assigns them to the best-fit agent within 90 seconds, and triggers personalized drip campaigns. An AI chatbot handles initial qualification 24/7. Document automation pulls data from the CRM to auto-generate contracts, disclosures, and checklists.
DTC skincare brand, $800K annual revenue pre-automation
This fast-growing skincare brand was hitting a ceiling. They needed to scale marketing, customer engagement, and fulfillment without tripling headcount. We built a full automation stack that multiplied revenue while reducing the team's workload.
Cart abandonment sat at 74%. Email campaigns were manual and one-size-fits-all. Customer support tickets (order status, ingredient questions, returns) consumed two full-time hires. Inventory forecasting relied on guesswork, leading to stockouts of top sellers.
We deployed a multi-channel recovery system: abandoned cart sequences, browse-abandonment triggers, and win-back flows tailored to purchase history. An AI chatbot handles 80% of support inquiries with product-aware responses. We built a demand forecasting model using historical sales data and marketing spend to predict inventory needs 60 days out.
Mid-size personal injury firm, 12 attorneys
Legal work generates mountains of repetitive admin: intake forms, document review, scheduling, client updates, and billing. This firm was spending more on paralegals and admin staff than on case acquisition. We automated the busywork so the team could focus on winning cases.
Client intake took 45 minutes per lead. Paralegals spent hours assembling demand letters from templates. Status update calls consumed attorney time every afternoon. Billing reconciliation required manual time-entry review each week.
We built an AI intake system that pre-qualifies leads via chatbot, collects case details, and populates the case management system automatically. Document automation generates demand letters, engagement agreements, and medical record requests from structured data. Automated client portals send real-time case status updates. Time tracking integrates directly with billing software.
B2B project management SaaS, 2,800 active accounts
Churn was killing growth. This SaaS company was acquiring customers fast but losing them almost as quickly. They needed a system that could identify at-risk accounts before they churned and trigger targeted interventions automatically.
Monthly churn was running at 6.2%, meaning they replaced nearly half their customer base every year. The CS team only learned about unhappy customers when they canceled. Onboarding completion was stuck at 40%, and most churned users had never fully adopted the product.
We built a churn prediction model using product usage signals, support ticket sentiment, login frequency, and billing patterns. High-risk accounts trigger automated outreach sequences: personalized re-engagement emails, in-app feature tours, and CS team alerts for VIP accounts. We also rebuilt the onboarding flow with automated progress tracking and nudge campaigns.
Tell us what is slowing you down. We will show you what automation can do for your bottom line.
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