AI-enabled GTM strategy · Applied AI enablement

I turn complex problems into clear plans and practical AI solutions.

I turn complex problems into clear plans and practical AI solutions.

My background is in paid-media strategy, integrated planning, analytics, and complex scientific markets. I build governed AI workflows that help teams research, analyze, report, audit, and make decisions more effectively.

My background is in paid-media strategy, integrated planning, analytics, and complex scientific markets. I build governed AI workflows that help teams research, analyze, report, audit, and make decisions more effectively.

10+

10+

years in marketing and planning

8+

8+

practical AI workflows built

270h

270h

estimated reporting time saved annually

~$900K

~$900K

paid-search spend audited across 12 months

Selected work

Selected work

Real problems. Controlled systems. Measurable outcomes.

Real problems. Controlled systems. Measurable outcomes.

Anonymized examples from complex, evidence-sensitive marketing environments. Each system combines AI assistance with structured checks and human judgment.

01 / REPORTING

Building custom reporting systems that save 22.5 hours every month

LinkedIn Ads application and Google Ads MCP workflow through Hermes

THE PROBLEM
Recurring LinkedIn and Google Ads reports required repetitive preparation, calculation, campaign review, and manual analysis.

SYSTEM AND TOOLS
Built a custom application to automate LinkedIn Ads reporting and a separate Google Ads workflow that uses natural-language requests through a custom MCP connection in Hermes Agent. The systems handle KPI analysis, prior-period checks, campaign detection, and structured commentary.

MY ROLE
Identified the opportunity, then designed, custom-developed, configured, tested, operated, and evolved the workflows.

CONTROLS
Calculation checks, source verification, human review, and final in-platform QA before any result was used.

Outcome

Reduced estimated preparation time by 75%–81% and saved approximately 22.5 hours per month across eight recurring reports.

02 / AUDIT

Paid Search Audit at Scale

Read-only agentic analysis across approximately $900K in annual spend

THE PROBLEM
A multi-account audit required analysis at a scale that was difficult to perform consistently and comprehensively by hand.

WHAT I DESIGNED
A structured read-only audit across seven accounts covering approximately $900K in Google Ads spend over 12 months, 91,000 keyword rows, and 132,000 search-term rows.

MY ROLE
Designed and directed the workflow, reviewed its output, and translated validated findings into stakeholder recommendations.

CONTROLS
Read-only access, defined checks, validation steps, human review, and recommendation-level judgment.

Outcome

Produced a full findings-and-recommendations presentation that prioritized campaign and ad-group restructuring together with conversion-attribution improvements to strengthen pipeline generation and measurement.

03 / GTM

Building activation plans for complex products and evidence-sensitive audiences

Integrated GTM and growth planning

THE PROBLEM
Newly signed clients needed a defensible plan connecting business goals, audiences, channels, budgets, creative requirements, measurement, and execution.

MY APPROACH
Discovery, audits, market and competitor research, keyword and audience research, channel selection, budget allocation, forecasting, KPI planning, and activation handoff.

MY ROLE
Lead approximately 6–12 post-sale planning engagements annually and present recommendations to clients and activation partners.

PLANNING BREADTH
Paid search and paid social expertise supported broader planning across programmatic display, endemic media, and other integrated placements as appropriate.

Commercial context

Integrated plans typically span approximately $700K–$1M in annual third-party media spend, excluding agency and media-management fees.

How I work

Start with the problem, not the tool.

Start with the problem, not the tool.

AI is useful when it improves a real decision or workflow. The system still needs evidence, controls, and a person accountable for the outcome.

01

Find the real problem

Understand the business objective, users, data, constraints, and current workflow before selecting a tool.

01

Find the real problem

Understand the business objective, users, data, constraints, and current workflow before selecting a tool.

02

Build something practical

Combine GTM judgment, AI tools, structured context, automation, and lightweight integrations into a usable workflow.

03

Validate before scaling

Use calculation checks, deterministic validation, human review, approval gates, and real-world testing.

Give me a problem and I will build a practical, usable, and repeatable solution.

Give me a problem and I will build a practical, usable, and repeatable solution.

About AJ

Commercial judgment with a builder’s mindset.

Commercial judgment with a builder’s mindset.

I am an AI-enabled GTM and commercial strategist and applied-AI workflow builder. My deepest expertise is in paid search, paid social, analytics, and integrated planning for complex biotech, pharma, diagnostics, and precision-medicine audiences.

I use grounded execution experience to solve broader problems involving market strategy, measurement, reporting, workflow design, and commercial decision support.

Primary lane

AI-enabled GTM & commercial strategy

Adjacent lane

Applied AI enablement & workflow solutions

Preferred industries

AI drug discovery · drug development · oncology and cancer therapeutics · genomics · healthcare AI · scientific software

Role structure

Strategic IC · player-coach · team builder

Let’s connect

Working on a complex GTM or AI-enablement problem?

Working on a complex GTM or AI-enablement problem?

© 2026 AJ Fialkowski

San Diego, California · Open to emerging AI, scientific, and healthcare opportunities