What is AI-forward marketing?

AI-forward marketing is the practice of using generative AI tools — large language models, image generation, and AI agents — to plan, produce, and distribute marketing content while preserving a clear brand voice and editorial judgment. It pairs AI for speed and scale with humans for strategy and quality control.

Who does Marji Sherman work with?

Marji works with B2B SaaS, financial services, healthcare, and consumer brands whose in-house marketing teams want to integrate AI into social media, content, and editorial. Past clients include Capital One, KOHLER Co., the ADL, the United Methodist Church, and Cancer Treatment Centers of America.

What is Answer Engine Optimization (AEO)?

Answer Engine Optimization is the discipline of structuring brand content so it can be cited and surfaced by AI answer engines like ChatGPT, Perplexity, and Google AI Overviews. It includes entity-clear copy, FAQ schema, structured data, and topic authority — and it is now a core part of every engagement Marji runs.

How long does an engagement take?

Most strategy engagements run six to twelve weeks. Workshops are one to two days. Ongoing advisory retainers are quarterly. Marji takes on a small number of partner engagements per quarter to keep work hands-on.

Will AI replace my marketing team?

No. AI replaces tasks, not teams. The brands winning right now are the ones whose marketers learn to direct AI — using it for research, drafting, and repurposing, while keeping editorial judgment, taste, and brand voice in human hands.

What is "regulated industries" AI marketing?

Regulated industries AI marketing is the discipline of running AI-augmented marketing programs inside organizations bound by legal review, privacy regulation, and brand-safety constraints — banks, fintech, healthcare, insurance, and pharma — with documented guardrails so the work clears compliance the first time.

Why does compliance experience matter for an AI marketing advisor?

Most AI consultants have never had to clear AI-assisted content through legal review at a Fortune 100 bank or get a privacy team to sign off on a vendor's data-handling agreement. Compliance-heavy operational experience is what turns "we tried AI" into "we shipped AI."

Which industries does this serve?

Banks and credit unions, fintech, wealth management, insurance, healthcare systems and health plans, digital health, biotech, and pharma marketing. Anywhere legal, compliance, privacy, or brand-safety review is non-negotiable.

How do you handle data privacy and IP?

All engagements run under NDA. No client data is used to train third-party models. Tool selection prioritizes enterprise-tier accounts with documented data-handling agreements. PHI and PII workflows are designed against your existing data classification policy.

How are legal review and brand safety handled?

Every AI-assisted workflow has a documented human-in-the-loop checkpoint between draft and publish. Legal review, brand safety, and compliance approvals are baked in as required steps. Logging and audit trails are documented from day one.

What about HIPAA, GLBA, GDPR, and other regulations?

Healthcare engagements follow HIPAA workflows for PHI-adjacent content. Financial services engagements respect GLBA, fair-lending, and disclosure requirements. Global brands get GDPR and CCPA considerations built in.

What are the on-ramps?

Three. (1) Free consult — 30-minute scoping call. (2) AI Marketing Audit + Roadmap — 4 to 6 week scoped project, $15K to $35K. (3) Advisory retainer — monthly executive advisory, sized to scope.

Who runs the practice?

Marji J. Sherman — featured in Inc. Magazine and on Jay Baer's Social Pros podcast. 15+ years inside Fortune 100 marketing organizations including Capital One, Cancer Treatment Centers of America, KOHLER Co., the Anti-Defamation League, and the United Methodist Church.

How quickly will I hear back?

Personal reply within 1 to 3 business days. Free consults typically scheduled within the same week.

Regulated industries · banks · fintech · healthcare

AI marketing for banks, fintech, and healthcare — with guardrails your compliance team trusts.

Most AI consultants have never worked inside a regulated organization. Marji J. Sherman built and operationalized the AI marketing program at a Fortune 100 bank — with legal review, privacy controls, and brand-safety guardrails documented by design. Featured in Inc. Magazine.

Book a free consult

Free · 30 minutes · No card · NDA on request

Operational experience inside

Capital One
Cancer Treatment Centers of America
KOHLER Co.
ADL
United Methodist Church

The problem in regulated marketing teams

Your marketers want to use AI. Your legal team wants the workflows reviewed. Your privacy office wants the data-handling agreements. Your brand team wants the voice protected. Your CISO wants the tool inventory governed. And the AI consultant you talked to last quarter has never sat through a single one of those conversations.

The result is the pattern everyone sees in 2026 — a successful 90-day pilot followed by twelve months of stalled scale. The guardrails are the hardest part of the work, and they are the reason most rollouts get stuck.

What "regulated AI marketing" actually means

Legal review baked in. Every AI-assisted workflow has a documented human-in-the-loop checkpoint between draft and publish. Legal sees the same review steps your existing process expects.
Privacy & data-handling controls. Enterprise-tier tool selection. Documented data-handling agreements. PHI / PII workflows designed against your existing data classification policy. No client data trained into third-party models.
Brand-safety guardrails. Topic and tone rules a model can actually follow. Approved sources for citations. The "things AI cannot say about us" list — documented and enforced.
Regulatory alignment. HIPAA, GLBA, fair-lending, disclosure, GDPR, CCPA — the program runs against your existing framework, not a generic checklist.
Tool governance. Which AI tools are approved for which use cases. Enterprise accounts only. A documented inventory your CISO can defend.
Audit logs & accountability. Logging and audit trails documented from day one so the program can answer regulator and internal-audit questions on demand.

Why most AI consultants stall here

Dimension	Most AI consultants	Regulated-industry advisor
Inside a regulated org	No	Yes — Fortune 100 bank, healthcare system
Legal review handling	Hand-waved	Documented human-in-the-loop checkpoints
Privacy & PHI / PII	Not covered	Designed against your data classification policy
Regulatory alignment	Generic checklist	HIPAA, GLBA, fair-lending, GDPR, CCPA-aware
Audit & logging	Afterthought	Documented day one — defensible under audit

Three on-ramps

Most regulated-industry engagements start with one of these.

On-ramp 01

Free consult

A 30-minute scoping call. Tell me about your org, your compliance posture, and the rollout you're considering. You'll leave with a clear sense of what to do next.
- 30 minutes · free · no card
- NDA on request
- Deliverable: direction + next steps
On-ramp 02

AI Marketing Audit + Roadmap

A 4 to 6 week scoped project. Documented current-state audit of your marketing org's AI readiness, a prioritized opportunity map, and a 12-month rollout plan with compliance sequencing.
- 4 to 6 weeks
- Investment: $15K – $35K
- Deliverable: written audit + roadmap + exec readout
On-ramp 03

Advisory Retainer

Monthly executive advisory for CMOs, CCOs, and senior marketing leaders running the transformation themselves. Quarterly working sessions and on-call counsel.
- Monthly engagement
- Sized to scope
- Deliverable: ongoing advisory + working artifacts

Marji built ADL's culture, presence, and marketing from the ground up. She launched a successful employee advocacy program and standardized content across all 27 offices in the U.S. and Israel.

Robert Weissman, Anti-Defamation League

Marji's brand building skills were an asset to help drive a central agency marketing strategy for which I enjoyed the opportunity to work alongside her.

Rowan Benecke McKinsey & Company
Once again, Marji J. Sherman provides a wealth of social media insights and demonstrates why she has [the community she's built on social media].

Inc. Magazine Feature article

Frequently asked questions

What is "regulated industries" AI marketing?

Regulated industries AI marketing is the discipline of running AI-augmented marketing programs inside organizations bound by legal review, privacy regulation, and brand-safety constraints — banks, fintech, healthcare, insurance, and pharma. It pairs the productivity gains of AI with documented guardrails so the work clears compliance the first time, not the third.
Why does compliance experience matter for an AI marketing advisor?

Most AI consultants have never had to clear AI-assisted content through legal review at a Fortune 100 bank or get a privacy team to sign off on a vendor's data-handling agreement. They sell the deck and disappear when the legal review begins. The compliance-heavy operational experience is what turns "we tried AI" into "we shipped AI."
Which industries does this serve?

Banks and credit unions, fintech, wealth management, insurance, healthcare systems and health plans, digital health, biotech, and pharma marketing. Anywhere legal, compliance, privacy, or brand-safety review is non-negotiable.
How do you handle data privacy and IP?

All engagements run under NDA. No client data, proprietary content, or strategy is ever used to train a third-party model. Tool selection prioritizes enterprise-tier accounts with documented data-handling agreements — enterprise ChatGPT, Microsoft Copilot for Enterprise, Claude for Enterprise — and self-hosted alternatives where required. PHI and PII workflows are designed against your existing data classification policy.
How are legal review and brand safety handled?

Every AI-assisted workflow gets a documented human-in-the-loop checkpoint between draft and publish. Legal review, brand safety, and compliance approvals are baked in as required steps — not afterthoughts. Logging and audit trails are documented from day one so the program can answer regulator and internal-audit questions.
What about HIPAA, GLBA, GDPR, and other regulations?

Engagements in healthcare follow HIPAA workflows for any PHI-adjacent content. Financial services engagements respect GLBA, fair-lending, and disclosure requirements. Global brands get GDPR and CCPA considerations built in. The program runs against your existing regulatory framework — not a generic checklist.
What are the on-ramps?

Three. (1) Free consult — a 30-minute scoping call. (2) AI Marketing Audit + Roadmap — a 4 to 6 week scoped project ($15K to $35K) that produces a documented current-state audit, opportunity map, and 12-month rollout plan. (3) Advisory retainer — monthly executive advisory, sized to scope.
Who runs the practice?

Marji J. Sherman — a senior AI marketing advisor featured in Inc. Magazine and on Jay Baer's Social Pros podcast, based in Miami. 15+ years inside Fortune 100 marketing organizations including Capital One (financial services), Cancer Treatment Centers of America (healthcare), KOHLER Co., the Anti-Defamation League, and the United Methodist Church. She built and operationalized AI marketing inside a Fortune 100 bank — the operating system she now installs for regulated clients.
How quickly will I hear back?

Personal reply within 1 to 3 business days. Free consults typically scheduled within the same week.

Get in touch

Ready when you are.

Send a brief and you'll hear back within 1 to 3 business days.