Work that speaks for itself.

Every engagement starts with a real business problem. We don't do proofs of concept. We build systems that work — and we stay to make sure they keep working.

Case Study Hospitality / Wedding & Events

AI-powered inbox assistant for a boutique wedding venue

The Problem

Donna runs The Inn at Fox Briar Farm — a boutique inn and wedding venue in Pennsylvania. She was answering the same questions over and over, tethered to her phone, unable to step away without the inbox piling up. Every email felt urgent. Most of them weren't. But the system couldn't tell the difference, and neither could she — until she read each one. The inbox wasn't just a communication tool. It was the operational bottleneck of the entire business.

What We Built

We built an AI-powered email workflow with a triage layer at the front. When a new email arrives, the system reads it, classifies it into one of five categories — wedding inquiry, private event, inn stay, general question, or ignore — and routes it accordingly. Cold outreach and automated messages exit silently. Everything else moves to a specialized AI agent that pulls from Fox Briar's own business data: property details, policies, live reservation records, Google Calendar, and wedding contract documents stored in Drive. The agent drafts a reply in Donna's voice — using a detailed voice specification built from how she actually writes. The draft waits in Gmail for her review. She edits and sends. If something requires her direct judgment, she gets a Telegram notification so it doesn't get buried.

"It's like having someone who already knows everything about the farm sitting with me when I open my email."

— Donna, Owner, The Inn at Fox Briar Farm

The Result

Drafts that previously took 10–20 minutes to compose — looking up a reservation, checking availability, finding the right policy language — are produced in seconds. Donna's role shifted from writer to editor. The triage layer alone removed the cognitive weight of sorting: she no longer has to decide what needs her attention, the system decides. And every draft follows the same standards, references accurate data, and sounds like her — which means guests get a consistent experience whether she's answering at 9am on a Tuesday or reviewing at the end of a wedding weekend.

10–20 min Email draft time, now seconds
5 types Of inbox requests handled automatically
Case Study Freight / Logistics

Automating trade show intelligence for a national freight company

The Problem

Before every major trade show, the sales team needed to research attendees, cross-reference them against existing CRM accounts, and build prioritized outreach lists. The process was manual, slow, and inconsistent — taking up to a week and relying on an external vendor that was expensive and added no institutional context about their own customers. The team arrived at shows with less intelligence than they should have had, and the work to produce it cost more than it was worth.

What We Built

We built an AI-powered workflow that ingests the trade show attendee list, cross-references it against the company's Salesforce CRM, and generates prioritized sales intelligence for each relevant attendee — including account history, relationship context, and suggested talking points. What had been a week-long vendor engagement became an automated process that runs in minutes, entirely inside their existing systems. The external vendor was replaced. The intelligence improved. The team shows up prepared.

The Result

A process that previously took a full week and required an external vendor now runs automatically and takes minutes. The output is more consistent, more contextually relevant, and directly tied to the company's own CRM data — meaning the intelligence actually reflects their customer relationships, not a generic list enrichment. The cost of the vendor was eliminated entirely.

7 days Turnaround eliminated
100% Vendor cost removed

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