Case studies.

They had AI experiments running, but nothing was sticking. The ask had two halves: a strategy for where AI belonged in the business, and engineers who could build with it independently.

Six months across both halves. The strategy side covered roadmap, vendor selection, model evaluation, and prioritizing where workflow automation paid off versus where it would burn time. The engineering side was hands-on — pairing with their team leads on production prototypes, running training tuned to how the team works day to day, and structuring the engagement so the capability stayed after we left.

Sided is a polling app that turns polls into ad inventory. Adam is co-founder and COO. Disclosure: CAIO isn't a vendor here — we operate inside the business.

The core product was rebuilt in two months — conventional planning put it at six to twelve. Spec-first development with AI handling most of the implementation. Sales work ran alongside: personalized pitch pages for outbound, custom demos for buyer evaluation, the investor deck that closed the round, growth modeling, and category research on polling-as-ad-inventory.

Sided also runs on Bridge. Same software we use ourselves for growth, content, and intel.

RVLVR runs through-channel marketing automation for big tech — Intel, Apple, Cisco, HP, Ingram Micro, Lenovo, Qualcomm. Forrester-recognized in the category.

They needed to validate a new application surface before committing real engineering. The usual path is two to three months: discovery, wireframes, prototype, iterate. We did it in two weeks.

The prototype was real code — production-quality components, real state management, working interactions. Not a Figma file dressed up to look interactive. Built from a handful of focused interviews with RVLVR leadership and customers. Loops closed in hours because access was tight.

The project itself stays stealth. The engagement is ongoing.

Affinitiv runs marketing tech for the automotive dealer industry. The product line grew through acquisition — each piece arrived with its own brand, its own UI patterns, its own way of doing things. The job was to make it feel like one company without rebuilding everything underneath.

We delivered the design system that ties it together. A component library that works across the acquired surfaces. Design tokens that put the brand at the variable layer instead of buried in CSS. AI-assisted workflows that turn a new screen from a multi-day component build into a same-day change.

The engagement has run multi-year. The redesign continues across the portfolio.

Sports Injury Central (SIC) covers injury analysis and intel for sports betting. The hard deadline was the 2025–26 NFL season.

Same motion as Sided: spec-first development, AI handling most of the implementation, conventional planning compressed. Three workstreams in parallel — a full platform modernization off the old stack, an algorithmic scoring model for injury analysis and intel signal, and the picks marketplace where bettors transact.

Multi-year engagement, ongoing.

ShedBuilder.ai is software for shed builders. Charlotte Shed Builders is an actual shed-building business. Lake Norman Handyman is another. The software helps these family businesses grow and operate smoothly.

Every feature ships into a real business with real customers and real payroll first. A workflow that doesn't work in the field is one we hear about the same day.

The local sites — charlotteshedbuilders.com, lakenormanhandyman.com — went live and started pulling referral traffic from Google and ChatGPT immediately. AI-assisted content and SEO on multi-tenant infrastructure.

Bridge is the platform CAIO runs on. Prospecting, outreach, sales pipeline, content, intel, and the AI agents that operate all of it — in production, every day.

The rule is straightforward: everything we sell to clients, we use ourselves first. If a sequence doesn't convert for us, it doesn't ship. If an agent produces generic content, we catch it before clients do. If an integration breaks, we feel it.

Clients get the same software, configured for their business — their voice, their team, their integrations, their pipeline.