About / Greg Staunton
20 years inside marketing systems. Now building the AI layer above them.
pl8ypus is Greg Staunton's applied AI build studio - grounded in enterprise marketing operations experience and focused on production-shaped AI systems that operators can actually use.
Greg's take
Twenty years of enterprise marketing automation work teaches things that are hard to capture on a CV. You learn how campaigns actually fail. You learn where the data quality problems hide. You learn which platforms break under which conditions and why.
That background shapes the AI work on this site. The systems here are not generic AI workflows applied to marketing. They are built around specific failure patterns in specific enterprise marketing contexts.
The domain knowledge is not a credential. It is the filter through which every architectural decision gets made.
Background
Enterprise marketing operations - from the inside.
20 years working across the Oracle Eloqua and Salesforce stack as a lead developer and consultant - inside enterprise environments connected to firms including Infosys, Deloitte, and PwC. That experience includes campaign operations, platform governance, data quality, consent management, integration work, and years of watching how AI experiments get stuck between the model and the workflow.
pl8ypus was built to close that gap. Not by wrapping an API in a chat interface, but by designing the workflow layer that makes AI outputs usable, reviewable, and trustworthy inside real marketing operations.
Enterprise platforms
Infrastructure
AI layer
What gets built
Applied AI systems for enterprise marketing operations.
Every build starts from a real workflow problem - not from the technology. The systems are production-shaped: reviewed, tested, documented, and deployable by operators who are not developers.
Translation AI workflows
AI-assisted translation with protected terminology, structured payloads, QA gates, and human review before outputs are treated as final.
View Translation AI →Audience targeting and scoring
Planned AI-supported audience discovery with evidence trails, accept/reject controls, queue management, and human review.
View planned Audience Finder →Marketing form protection
Cloudflare Turnstile spam review layer for Eloqua forms, with exception queue, review workflow, and secured admin access.
View Form Protection →Client portal systems
Production-shaped client support portal with Cloudflare D1, Workers API, Access/JWT identity, and slice-by-slice migration discipline.
View Client Portal →AI build orchestration
Structured build scaffolding with project memory, implementation packets, QA gate patterns, and agent role separation for complex multi-session builds.
View Tanya Build Cockpit →Enterprise workflow design
End-to-end workflow mapping, system architecture, and deployment planning for AI integration inside existing marketing operations environments.
How I work
Build-led. Evidence-first. Production-minded.
I build, not consult
The deliverable is always a working system - not a deck, a report, or a recommendation document. Everything in the pl8ypus portfolio is grounded in working implementation.
I work inside the workflow
The best AI systems fit inside existing operations - they do not replace them. Understanding how the marketing team works, what the data looks like, and where the review bottlenecks are is the first part of the build.
I take QA seriously
Every build slice has acceptance criteria. Every deployment has a verification step. The difference between a prototype and a production-shaped system is what happens when the happy path is not followed - and that gets tested before anything is called done.
I keep the evidence visible
Architecture decisions, build state, migration progress, and what is not yet done are all documented publicly. That is not just transparency - it is the same discipline that senior stakeholders inside enterprise environments need to see before trusting a new system.
Available for
Projects, speaking, and collaboration.
Applied AI projects
Enterprise AI system design and delivery - translation, operations, workflow automation, and customer-facing systems.
Marketing systems support
Eloqua and Salesforce consulting, campaign operations, integration work, and marketing automation architecture.
Speaking and workshops
Practical AI talks, build walkthroughs, and senior conversations about AI deployment inside real enterprise marketing workflows.
Collaboration
Open to collaboration with teams working at the intersection of AI and enterprise marketing operations.
Connect