A multi-agent marketing operating system delivered for a sovereign-backed real-estate megacity programme. Bayseian builds and operates the marketing AI layer: production agents supporting bilingual (Arabic/English) creative, campaign and performance workflows on region-compliant cloud, running under human oversight (as of July 2026). Brief in, brand-ready output out.
How it works · brief in, performance out
Enterprise marketing has fragmented into 50+ tools that don’t talk to each other. Bayseian runs a multi-agent harness that unifies them behind one governed workflow, and emits a single brand-safe, compliant output.
Routed per task · never locked to one vendor
Claude
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Gemini
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Meta
Google Ads
TikTok
GA4
HubSpotBigQueryMetaGoogle AdsTikTokGA4HubSpotBigQueryWhat we do · three production capabilities
A multi-agent harness for on-brand creative at scale: bilingual, multi-format, brand-RAG-aware. Routes across frontier models per task.
Server-side attribution, element-level signal extraction, and a feedback loop back into the creative engine. Every asset’s performance feeds the next brief.
Multilingual delivery for markets where one-size English doesn’t work: Arabic RTL and bespoke cultural guardrails baked into the harness.
Agent-harness engineering · generic output → brand-ready
Strong composition, but no brand system: off-voice, wrong identity, no channel shape.
Brand book, tone, palette, lockups and bilingual rules retrieved and enforced per asset.
Identity treatment, channel composition rules and a publishing wrapper around the foundation model.
Production-grade, on-brand, compliant, cleared through human-review gates.
The Challenge
Enterprise marketing has fragmented into a sprawl of 50+ disconnected tools (frontier creative models, ad platforms, analytics, CRM) none of which talk to each other, and a significant share of ad-attribution signal has been lost since cookie deprecation and iOS 14.5+. A sovereign-backed megacity launching to a global audience needed marketing run as a software system, not a stack of vendors: on-brand at scale, bilingual, governed, and compliant with regional data-residency rules that generic cloud platforms could not meet.
Our Approach
Bayseian built and operates a multi-agent harness on region-compliant cloud: brief in, performance out. Brand inputs (brand book, prior creative, performance data) feed a multi-agent runtime: creative agents for image, video and copy; a multi-model routing layer that picks the best frontier model per task; a brand-RAG and cultural-guardrail layer that enforces voice, identity and bilingual rules; human-review gates; and an observability sidecar. Outputs flow to paid, owned and earned channels, then server-side attribution, element-level signal extraction and fatigue detection close the loop back into the next brief. It ships as three capabilities: Creative Engine, Closed-Loop Performance, and Cultural Intelligence.
Outcome
In production since Q1 2026, with agents supporting the development's marketing leadership under human oversight (as of July 2026). Generic model output is turned into brand-ready, on-brand assets in hours rather than weeks for the workflows in scope, the workflow runs in both Arabic and English, and each campaign's performance feeds the brand knowledge base so the next one starts better informed. Metrics below are client-reported for the workstreams in scope.
Highlights
Outcomes shown are specific to the stated scope, period and operating conditions. Results are not guaranteed and may not be representative of other deployments. Client names, logos and metrics are used with permission or anonymised where required.
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