Expensive tools. Flat revenue. We fix both.

Applied AI means using AI to solve one specific, measurable business problem. It starts with a line item on your P&L, not with a technology looking for a use. A content team producing 4 posts a month for a $10K retainer is a line item. A $200K CRM your sales team uses at 30% capacity is a line item. Applied AI replaces that cost with a purpose-built system that does the one job, and it gets measured the same way the cost was: dollars saved, hours cut, revenue added. Yellow Brick's builds are measured that way. The content engine took one nonprofit from a multi-platform manual workflow to 100+ assets a day across 12 channels, an 80% cut in production time. That is the whole definition. If the result cannot be measured, it is a demo.

Think of the difference between a consultant who writes you a recommendation and an engineer who moves into your office and builds the thing. The second one is a forward deployed engineer. The term comes from Palantir, where engineers deploy to a customer site, learn the real workflow, and ship software that fits it. Yellow Brick runs the same model for mid-market companies and nonprofits that will never sign a Palantir-sized contract. Ravi Karwal embeds with your team, audits where money and time leak, writes a spec you sign, and builds the replacement while your old system keeps running. Milestone payments, 6 to 16 weeks, and you own everything when it is done. If you have a workflow that no product on the market fits, this is the way it gets built.

Purpose-built AI systems that replace specific enterprise software: content engines, sales operations tools, donor platforms. We build the 30% of the platform your team uses and cut the 70% you pay for.

Yellow Brick bills by milestone, not by the hour. The five phases each end in a deliverable: a current state assessment, a signed spec with acceptance criteria, a validated system running parallel to your old one, a completed migration with rollback, and 90 days of support. You pay when each deliverable lands, so the invoice always follows something you can inspect. For commercial clients the build runs a fraction of the SaaS spend it replaces; the target is companies paying $50K to $500K a year for software used at 30% capacity, and the assessment shows the number before anyone commits. For nonprofits, pricing comes in under a part-time hire and replaces a $10K a month agency retainer. Dev shops quote 6 to 12 months at $500K and up. We quote a scope, a timeline of 6 to 16 weeks, and milestones. The 15-minute call produces the figure for your situation.

6-16 weeks depending on scope. Five phases: Audit, Spec, Build and Validate, Migrate, Support. Your old system stays live until the new one proves out.

PE/VC portfolio companies, mid-market operators, and nonprofits. Results include +350% pipeline at Celerity, 108% revenue growth at Genius Group, $1.6B pipeline at Exela, and 63% revenue growth at Apprion.