Case Studies

What we built, and what happened next

Each engagement started with understanding the real friction — then building the systems that fixed it.

Ecommerce

From disconnected experiments to 2x faster product cycles

A fast-moving ecommerce company had months of disconnected AI experiments across silos. We mapped their workflows, found the real friction in design-copy-QA handoffs, and built an integrated system.

What we delivered

  • Workflow mapping & opportunity assessment

  • Automated product copy system (5,000 SKUs)

  • On-canvas prompting integrated with design system

  • QA automation pipeline

Results

+27%

Revenue growth

2x faster

Launch cycle speed

40%

QA effort reduction

SaaS

Turning scattered research into systematic product advantage

A product team was drowning in user research data. Hundreds of transcripts and surveys, but insights weren't reaching product decisions. The bottleneck was distribution, not collection.

What we delivered

  • Research synthesis & tagging system

  • Attribution-preserving knowledge base

  • Auto-surfacing during product planning

  • Research ROI reporting dashboard

Results

60% faster

Planning cycle

10x reach

Research accessibility

Zero

Duplicated discovery

Media — Product

Building context infrastructure for a product org

A media company's product team had invested in AI tools but lacked the context infrastructure to make them useful. They were re-explaining the same decisions to AI in every session.

What we delivered

  • Context systems for design system & specs

  • Team-specific agent workflows

  • Interactive AI adoption playbooks

  • Web-based adoption guide

Results

Systematic

Context reuse

Shipped

Adoption guide

Full

Capability transfer

Media — Marketing

Content production at scale with quality gates

A marketing org had no structured way to get research insights into campaign briefs. Content production across 12 channels was inconsistent and revision-heavy.

What we delivered

  • Campaign brief generation system

  • AI-assisted quality gates (real-time)

  • Brand voice enforcement automation

  • Cross-org shared context systems

Results

3x increase

Content volume

4 to 1.5

Revision cycles

+85%

Brand consistency

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