Active systems
02
Systems Overview
Two governed AI systems for marketing operations.
pl8ypus is focused on two active systems: Translation AI and Marketing Intelligence AI. Both are built around practical marketing operations problems: governed translation, campaign intelligence, review states, data quality, and stakeholder-ready evidence.
Primary niche
Marketing Ops AI
Delivery mode
CONTROLLED
Output
EVIDENCE
Delivery Discipline
Built to show the control layer, not just the interface.
The two systems are framed around the same operating principles: structured inputs, review states, audit evidence, rollback paths, data quality, and a clear route from prototype to trusted workflow.
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Illustrative delivery evidence panel showing architecture selection and control points.
Governance
Review before trust
Outputs are positioned as reviewed artefacts, not unchecked model responses.
Traceability
Source to output
Inputs, rules, prompts, outputs, and approval decisions need a visible record.
Recovery
Rollback paths
Working versions and approved versions remain separate enough to recover safely.
Quality
Validation first
AI outputs are only useful when the input quality and workflow state are known.
Governed AI Systems
The current pl8ypus systems portfolio.
Build 01
Translation AI
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AI orchestration for structured marketing asset translation, GitHub versioning, review workflows, source protection, and governed translated outputs.
Operational value
Turns translation from manual copy and paste work into a repeatable governed workflow with review states, rollback, and operational visibility.
Input: approved source asset
Process: language workflow orchestration
Output: governed translated asset
Build 02
Marketing Intelligence AI
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AI-assisted dashboard and ingestion layer for campaign intelligence, competitor signals, channel analysis, data quality, and executive-ready marketing readouts.
Operational value
Turns scattered marketing inputs into a governed intelligence layer for decisions, reporting, prioritisation, and strategic visibility.
Input: CSV first, API later
Process: validation and insight layer
Output: leadership-ready readout
Roadmap
Controlled delivery sequence.
01
Stabilise the public AI systems portfolio
Homepage, systems overview, dedicated system pages, speaking page, about page, builder log, contact modal, and deployment workflow.
02
Publish dedicated system pages
Maintain separate pages for Translation AI and Marketing Intelligence AI with architecture detail, stakeholder value, delivery status, and demo direction.
03
Add evidence when it is real
Add screenshots, diagrams, demo links, and delivery notes only when the evidence is credible enough to support the public AI systems portfolio.
Contact
Discuss one of the systems.
Use the contact form for demos, event conversations, collaboration, or serious AI build discussions.