Marketing, commerce, content, revenue, technical development & governance teams are all using AI independently. Bifrost Labs builds the bridge between people, AI, and the systems that turn decisions into execution.
AI systems that think commercially and sound human.
Marketing, commerce, content, revenue, technical development & governance teams are adopting AI independently. We design the systems, workflows, and governance that connect them into measurable business outcomes.
Being visible in AI-generated results is not enough. How AI agents interpret, describe, and position your brand determines whether you win or lose consideration before a human ever clicks. We audit AI visibility and AI legibility — ensuring your brand is not only present across AI surfaces, but accurately understood, correctly attributed, and strategically positioned within the AI layer of the buying journey.
Product detail pages, category journeys, marketplace experiences, accessibility, and conversion architecture. We design commerce systems that help customers discover, evaluate, and confidently purchase products across every channel.
Maintaining a human brand voice while maximizing AI production is a distinct craft — not a default setting. We direct AI-generated films, advertising creative, and brand content with the same strategic intent as traditional production, ensuring every output is emotionally resonant, commercially purposeful, and unmistakably the brand. Brand story, positioning, and voice are not inputs to our process. They are the architecture.
AI-generated content only scales when production, governance, and localization work together. We build content systems that generate, manage, approve, and continuously improve content across products, markets, and languages.
Buyers reveal their objections, comparisons, and purchase criteria long before they reach your website. We analyze communities, competitors, reviews, and search behavior to uncover positioning opportunities and market signals.
From lead enrichment and campaign intelligence to pipeline workflows and revenue signals, we design AI-assisted systems that help teams act faster and make better commercial decisions.
Governance is the operating layer that makes AI output trustworthy at scale. Approval workflows, claim traceability, audit trails, and policy controls ensure every piece of AI-generated content remains accountable and compliant.
Every exhibit below is a real deliverable from a live enterprise engagement across commerce, content, intelligence, and governance — proof of what the bridge looks like in production.
Full PDP and PLP content optimization. AI-readable structure, benefit hierarchy, structured metadata.
Commerce · ContentFull category page journey design, landing page architecture, and user testing.
UX · CommerceAgentic FAQ generation system producing governed, AI-readable content at scale from product specifications.
AI Systems · ContentFull audit of WMF brand presence across ChatGPT, Perplexity, Google AI Overviews, and Amazon AI across seven markets.
AI Visibility · ResearchStructured competitor positioning analysis across seven markets. Messaging gaps, AI search comparison, feature differentiation mapping.
Intelligence · GTMAmazon listing optimization for AI-assisted search including Rufus. Title structure, bullet hierarchy, backend keyword architecture.
Commerce · AmazonGA4 commercial audit across 2,131 products. SCALE/FIX/INVEST/IGNORE quadrant classification with channel allocation framework.
Revenue · AnalyticsComprehensive accessibility and UX audit across product pages and commerce flows with prioritised implementation roadmap.
UX · AccessibilityEnterprise AI transformation workshop for WMF marketing and commerce teams. Taxonomy, governance framework, tool adoption strategy.
Training · GovernanceReddit community sentiment analysis, brand positioning research, and paid Reddit campaign architecture for European markets.
Social · Intelligence15+ years leading marketing, growth, and commercial transformation across enterprise technology, gaming, AdTech, consumer brands, and B2B SaaS. Previously held leadership roles at Aarki (now RZR), Bigpoint GmbH, MegaZebra, and luxury fashion brand Escada, spanning customer acquisition, brand and product marketing, performance marketing, revenue operations, and go-to-market strategy.
Today, April helps organizations navigate AI transformation through AI visibility, content operations, commerce systems, GTM strategy, governance frameworks, and enterprise adoption programs that connect business objectives to measurable outcomes.
20+ years leading technology, commerce, and product initiatives across gaming, SaaS, eCommerce, and enterprise platforms. Former Producer at Ubisoft, CTO at Axis Global, and eCommerce Leader at Contabo, with expertise spanning full-stack software development, technical architecture, commerce platforms, UX optimization, experimentation, and digital transformation.
Daniel specializes in translating business strategy into scalable systems, customer experiences, and technical infrastructure that support sustainable growth, operational efficiency, and enterprise-scale execution.
20+ years of international marketing leadership across consumer goods, B2B, and FMCG. Former Director of Global Strategic Marketing at W. L. Gore & Associates and Director of Marketing EMEA at Young Living Essential Oils. Brand experience spans Procter & Gamble, Kellogg Company, Wrigley, and Amway. Cindy specializes in building brand credibility in the AI age — helping organizations maintain authentic brand voice, strategic positioning, and consumer trust as AI transforms how brands communicate, create, and compete.
12+ years building software and AI products within complex organisations. AI Product Manager at HydroMapper GmbH. Expertise in AI product strategy, agentic systems, EU AI Act readiness, AI governance, GDPR/DPIA compliance, and enterprise AI implementation. MSc in Software Engineering, Technical University of Munich.
The operating system for AI-powered marketing teams.
Most organizations have AI tools generating content and dashboards generating insights. What they lack is a system that connects intelligence, decision-making, execution, and governance.
PrismGrid brings marketing teams, specialist AI agents, knowledge, workflows, and approvals into a single governed environment. From AI visibility audits and competitor analysis to content production, localization, commerce optimization, and workflow automation, every activity operates within the same system.
Built from real enterprise implementation work, PrismGrid transforms AI from disconnected experiments into an operational capability that scales across teams, markets, and channels.
If you're dealing with fragmented AI content, ungoverned workflows, weak AI visibility, or GTM operations that don't scale — or if you're a brand looking to use AI in content production but struggling to maintain brand credibility, voice, and distinctiveness — let's talk about what a governed AI system looks like for your team.