Real deployments.
Real numbers.

THE PROBLEM

The founder was managing 14 different SaaS subscriptions — CRM, analytics, email marketing, inventory management, customer support, scheduling, and more. Monthly software spend had ballooned to $4,200, and the team was spending hours each week just switching between platforms and reconciling data across them.

WHAT WE BUILT

We audited their entire tool stack, identified nine subscriptions that could be replaced with purpose-built AI agents, and deployed custom systems for customer support triage, inventory forecasting, email campaign generation, reporting dashboards, and internal task management. Each agent was trained on their specific data and integrated directly into their existing workflow.

THE RESULT

Monthly software spend dropped from $4,200 to $380. Annual savings of $45,840. The team reclaimed roughly 20 hours per week previously lost to tool-switching and manual data reconciliation.

THE PROBLEM

Each of the agency’s twelve agents was manually writing listing descriptions, composing follow-up emails, preparing market comparison reports, and managing client communication. Senior agents were spending 30% of their week on administrative tasks instead of closing deals.

WHAT WE BUILT

We deployed AI assistants for the entire team — each trained on the agency’s brand voice, local market data, and MLS integrations. The system auto-generates listing descriptions from property data, drafts personalized follow-up sequences, produces weekly market reports, and handles initial client inquiry responses.

THE RESULT

Average agent productivity increased 3x. The agency closed 40% more deals in Q1 without adding a single hire. Administrative time per agent dropped from 12 hours/week to under 3.

THE PROBLEM

The founder was personally spending 15 hours every week on lead research and cold outreach — manually searching LinkedIn, enriching contact data, writing personalized messages, and tracking responses. Pipeline generation was entirely dependent on the founder’s time, which meant it stopped whenever they had to focus on product or fundraising.

WHAT WE BUILT

We built an AI-powered lead generation pipeline that scrapes relevant LinkedIn profiles based on custom ICP criteria, enriches leads with company data and technographic signals, drafts hyper-personalized outreach messages, manages multi-touch sequences, and books qualified meetings directly into the founder’s calendar.

THE RESULT

The founder reclaimed 15 hours per week. Outbound pipeline grew 280% in 90 days. Meeting-to-opportunity conversion improved because the AI’s personalization was more consistent than the founder’s manual efforts at scale.

THE PROBLEM

Client reporting consumed two full days per month across the team. Account managers were manually logging into Google Analytics, Meta Ads Manager, and Shopify dashboards for each client, pulling screenshots, compiling data into branded slide decks, and emailing them out. It was the single most-hated task in the agency.

WHAT WE BUILT

We deployed an AI reporting system that connects to every client’s data sources via API, automatically pulls performance metrics on a configurable schedule, generates branded PDF reports with executive summaries and trend analysis, and emails them directly to clients with personalized commentary.

THE RESULT

Two days of reporting work reduced to zero manual effort. Reports are now more accurate, more consistent, and delivered on time every month. The team redirected 16 hours/month into billable client work.

THE PROBLEM

A solo attorney was paying $1,800/month for a virtual assistant to manage scheduling, client intake forms, document preparation, and basic correspondence. The VA was competent but slow, worked limited hours, and still required significant oversight and correction.

WHAT WE BUILT

We replaced 90% of the VA’s tasks with AI systems: an intelligent scheduling agent that handles booking, rescheduling, and reminders; an intake system that collects and organizes client information before consultations; a document preparation assistant trained on the firm’s templates; and an email drafting system for routine correspondence.

THE RESULT

Monthly cost dropped from $1,800 to $79 in API fees. Response times improved from hours to minutes. The attorney retained the VA for the remaining 10% of tasks that require human judgment, at significantly reduced hours.

THE PROBLEM

Inventory ordering, staff scheduling, and online review management were manual nightmares across all four locations. The operations manager was spending 25+ hours per week on spreadsheets, phone calls with suppliers, and copy-pasting responses to Google and Yelp reviews. Inventory waste was running at 18%.

WHAT WE BUILT

We deployed three integrated AI systems: a predictive inventory agent that forecasts needs based on historical sales data, seasonal patterns, and upcoming events; a scheduling optimizer that builds shift plans based on projected traffic and staff preferences; and a review response agent that monitors all platforms and crafts thoughtful, on-brand responses within hours of each review.

THE RESULT

Inventory waste dropped from 18% to 7%. Labor costs decreased 12% through smarter scheduling. Every Google and Yelp review now receives a response within 4 hours. The ops manager reclaimed 20 hours per week.