01
Focus the experimentation
Turn disconnected pilots into a prioritized set of use cases tied to marketing goals, team capacity, and measurable value.
AI adoption and operating systems for marketing teams
Move from AI experimentation to institutionalization.
I help marketing leaders build the strategy, workflows, systems, and team capability that turn AI into a repeatable way of working.
Built inside the work
Enterprise AI adoption experience shaped by complex teams, real workflows, and real constraints.
More than recommendations
Practical systems that help teams evaluate, find, launch, and improve useful AI solutions.
Designed for independence
Enablement that helps nontechnical marketers solve real problems with skill and sound judgment.
The real challenge
Giving people AI tools is not the same as changing how marketing works.
02
Implement better workflows
Redesign real marketing processes so AI removes friction and increases useful output instead of adding another disconnected step.
03
Teach the team how to apply it
Build role-based skills through hands-on work, shared examples, feedback, and the confidence to exercise judgment.
04
Institutionalize what works
Create the standards, ownership, governance, and measurement that make successful practices repeatable across the team.
How I help
Build the capability, not just the enthusiasm.
01
AI readiness and roadmap
Identify where your team is ready to move, which use cases matter most, and whether the organization has the capacity to absorb change. The result is a focused plan tied to marketing outcomes.
02
AI workflow and systems implementation
Redesign priority marketing workflows and build the practical systems that help AI remove friction, improve consistency, and increase useful capacity.
03
Team enablement and adoption
Build the skills, confidence, and support marketers need to solve real problems with AI, especially when experience and technical comfort vary across the team.
04
AI operating model and institutionalization
Turn successful experiments into a discoverable, governed, and repeatable marketing capability with shared standards, clear ownership, measurement, and continuous learning.
Global enterprise marketing organization · AI adoption infrastructure
From scattered experiments to a system teams can use
AI adoption infrastructure built to scale
The system connected strategy, hands-on building, enablement, and adoption so useful experiments could become shared team practices instead of isolated wins.
Salesforce · Workflow transformation
A clearer path from SEO brief to publication
Publishing time reduced by 20%
The new system created shared visibility across Skyword, Google Docs, and Optimizely.
Salesforce · Intake automation
Faster editorial intake for global teams
Intake to assignment accelerated by 30%
The design gave teams a consistent entry point and clearer routing.
LinkedIn Learning instructor
Trusted to teach AI at scale.
Tamara teaches marketers and professionals how to move beyond AI curiosity and apply it to content systems, workflow design, and measurable work.
AI for B2B content marketing
Scaling B2B Content Marketing with AI and Automations
Learn how to identify useful AI opportunities, set measurable objectives, and apply AI and automation across content creation, distribution, and analytics.
View course on LinkedIn Learning
Generative AI workflow design
Automate Your Workflows with Generative AI
A practical introduction to mapping workflows, setting AI objectives, training AI for specific needs, and improving everyday productivity.
View course on LinkedIn Learning
Readiness diagnostic
See what is keeping your team stuck in experimentation.
Answer six focused questions about strategy, workflow, data, governance, adoption capacity, and measurement. You will receive an immediate readiness profile and tailored next steps.
Six diagnostic dimensions
A clear readiness stage
Priority recommendations
No email required