Featured engagements below. Every case starts with the same question (where does AI actually save time?) and ends with a team that can run the new workflow themselves.

AI built into how the whole team works.
Embedded as WEB's AI team across estimating, PMs, ops, and admin, plus a weekly lead engine that feeds the sales team new projects to bid. Spec books become sub-ready scopes in minutes, proposals come out in minutes, and new workflows join every week.

A weekly outbound engine, fully managed.
Built and run the outbound engine for a founder-built platform. 50 scored player leads every week, each paired with a personalized message and tracked through a live funnel by week and variant.

70 hours back to the team, every week.
Embedded as the dedicated AI team for a ~20-person performance agency. In under two months, Claude went from a curiosity to a daily habit across the company. The hours saved are still climbing.

Backend, features, security, in flight.
The embedded engineering team behind Basketball Atlas, a live AI basketball platform, shipping backend engineering, new product features, and a hardened security posture in parallel.

One front-office database. One AI layer on top.
Rebuilt a pro sports franchise's data foundation into a single unified database, then wired an AI layer that reads and writes across every fan, game, group, sponsor, and sale.

50 product videos, under $2,000.
Built an AI video pipeline that replaced the traditional studio shoot. Dramatically more catalog coverage, at a fraction of the cost.

A lead engine that gets smarter every week.
Built a proprietary AI lead generation system that sources, scores, and dedupes new agent leads every week, and tunes itself from real CRM outcomes.

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