Ask
Get help thinking through a problem, exploring options, and finding a useful next step.
Explore why a campaign underperformed and which questions to investigate next.
AI strategy and capability building for marketers
Expand what your marketing team can do with AI.
I help marketers use AI to answer better questions, automate recurring work, and build capabilities that open up new possibilities.
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.
Ask → Automate → Expand
Three ways to create value with AI.
Start with the problem you want to solve. Use AI to think it through, make recurring work easier, or develop a capability that opens up new possibilities.
Automate
Turn recurring work into a repeatable process, with review and judgment where they matter.
Streamline monthly reporting so your team can spend more time acting on the findings.
Expand
Build the ability to do something you couldn’t do before—and put it to work on a real problem.
Build an app that solves a pain point for your team, even if you’ve never written code.
These are complementary ways of working, not a ranking of technical sophistication. Your team can use all three. The opportunity is to keep asking: what can we do now that we couldn’t do before?
How this changed my work
A new capability. Answers my team could use.
A couple of days → 1–2 hours
Monthly reporting, after redesigning the workflow and adding automation and AI steps.
As a content operations lead at Salesforce, I inherited a cumbersome reporting spreadsheet. Updating it took hours, and the broader monthly reporting process took a couple of days.
I gave Gemini the context and asked for help. It suggested separating the raw data from a pivot-table reporting view. I had never built a pivot table, so I asked it to guide me step by step. A couple of hours later, I had a clear report my team could use.
With further automation and AI steps, the broader reporting process came down to roughly one or two hours. I could now turn messy data into answers my team could use—and improve a process I hadn’t previously known how to redesign.
That’s what a new capability can unlock.
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
Marketing AI Readiness
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
A downloadable action report