An AI consultant who teaches your corporation where to use AI — across every department.

What is an AI consultant for corporations?

A corporate AI consultant helps enterprise and mid-market companies identify where AI fits across their business operations, design implementation plans, train their internal teams, and govern AI use across departments. The role is part strategist, part architect, part teacher. Marji works inside corporate marketing, communications, and operations teams to make AI deployment predictable, brand-safe, and measurable.

Where should a corporation actually start with AI?

Start with tasks that are repetitive, document-heavy, and low-risk: meeting summarization, content drafting, customer service triage, internal Q&A. The mistake most companies make is starting with the flashy use case (autonomous AI agents in production) when the highest-ROI opportunities are in the boring middle — the 4-hour tasks every department repeats every week. An AI opportunity audit makes the prioritization explicit before any deployment begins.

How does an AI opportunity audit work?

1. Shadow each department. Marji embeds with each team to see how work actually happens, not how the org chart says it happens.
2. Inventory the repetitive work. Every document-heavy task is logged: frequency, duration, who does it, what triggers it.
3. Score each task. Four criteria: frequency, time-cost, brand-safety risk, ROI velocity.
4. Match to AI capabilities. LLMs, retrieval-augmented generation (RAG), embeddings, agents — each capability maps to specific task types.
5. Deliver the roadmap. A ranked list of pilots, written for your CTO, your legal team, and your CFO simultaneously.

Where AI fits, department by department

Below: the AI use cases Marji sees deployed most successfully inside corporations, organized by department. Most engagements touch four of these in the first 12 weeks.

How does corporate AI consulting differ from AI marketing consulting?

AI marketing consulting is scoped to one function — content, social, editorial, AEO. Corporate AI consulting is scoped across every department where document-heavy work happens. Most corporations start with marketing because the ROI is fastest there, then expand. Marji runs both kinds of engagement; the difference is scope, not method.

How long does a corporate AI engagement take?

An AI opportunity audit runs 4 weeks. A pilot deployment in one to three departments runs 8 to 12 weeks. Multi-department rollout, including governance and training, runs 6 to 12 months. Quarterly advisory retainers keep the system current as the AI tools evolve.

What are the risks of using AI inside a corporation?

Five real risks: data leakage to public LLMs without enterprise contracts; hallucinations in customer-facing output; regulatory and compliance violations; brand-voice erosion from over-automation; employee distrust if AI is positioned as surveillance. Every engagement Marji runs ships with a governance framework that addresses all five before deployment.

What does this cost?

Investment varies by scope and headcount. AI opportunity audits run a defined fixed fee. Department-level pilot deployments are scoped per engagement. Quarterly advisory retainers are billed quarterly. Marji takes on a small number of partner engagements per quarter to keep the work hands-on. Send a brief to get a real estimate →

Frequently asked questions

• What is an AI consultant for corporations?

  A corporate AI consultant helps enterprise and mid-market companies identify where to use AI across their operations, design implementation plans, train internal teams, and govern AI use across departments. The work usually starts with an AI opportunity audit and ends with a deployment roadmap, prompt libraries, governance frameworks, and team enablement.

• Where should a corporation start with AI?

  Start where AI replaces tasks, not jobs: research, drafting, summarization, repurposing, customer support triage, internal Q&A, sales call summaries, content QA. Marji begins every corporate engagement with a structured AI opportunity audit that maps every department against four criteria — frequency, time cost, brand-safety risk, and ROI velocity — to find the three highest-leverage entry points.

• Which departments benefit most from AI?

  Marketing (content production, AEO, brand voice at scale). Sales (call summarization, proposal drafting, lead research). Customer service (triage, knowledge base search, first-response drafts). HR (job description drafting, employee Q&A, internal policy summaries). Operations (SOP drafting, vendor research, meeting summaries). Finance (variance commentary, financial report drafting, expense review). Most corporate engagements touch four of these in the first 12 weeks.

• How does an AI consultant identify AI opportunities in operations?

  Marji uses a five-step opportunity audit: (1) shadow each department to map current workflows; (2) inventory all repetitive, document-heavy tasks; (3) score each task by frequency × time-cost × risk; (4) match tasks to AI capabilities (LLMs, embeddings, agents, RAG); (5) prioritize by ROI velocity. The output is a ranked deployment roadmap your team can actually execute.

• What is the ROI of AI in corporate operations?

  For document-heavy departments — marketing, customer service, internal communications, knowledge management — well-implemented AI typically returns 30 to 60 percent time savings on targeted workflows within 90 days. The real ROI compounds as institutional knowledge gets captured in retrievable formats (RAG systems, internal GPTs) that new hires use on day one.

• How long does enterprise AI adoption take?

  An AI opportunity audit runs 4 weeks. A pilot deployment in one to three departments runs 8 to 12 weeks. Full multi-department rollout, including governance and training, runs 6 to 12 months. The mistake is trying to go enterprise-wide on day one — pilots that prove ROI in one department accelerate the rest.

• What are the risks of using AI in business operations?

  Five real risks: (1) data leakage to public LLMs without enterprise-grade contracts; (2) hallucinations entering customer-facing communications; (3) compliance violations in regulated industries; (4) brand-voice erosion as AI-generated content piles up; (5) employee distrust if AI is used to surveil rather than enable. Every corporate engagement Marji runs includes a governance framework that addresses all five before any deployment goes live.

• How do you measure AI ROI in a corporation?

  Three layers. Efficiency: time saved per workflow, measured in hours per week per role. Quality: error rates, customer satisfaction scores, content engagement. Strategic: institutional knowledge captured, hiring time-to-productivity, brand citation share in AI search (AEO). The third layer is the one most consultancies miss, and the one Marji sets up first.

• What is the difference between AI strategy and AI implementation?

  AI strategy answers "where and why." It produces the opportunity audit, the prioritization framework, the governance policy, and the leadership alignment. AI implementation answers "how and when." It produces prompt libraries, custom GPTs, RAG systems, workflow automations, and team training. Most engagements need both, in that order, with strategy preceding implementation.

• How does corporate AI consulting work in practice?

  A typical engagement: weeks 1–4 are the opportunity audit and governance design. Weeks 5–8 are the first pilot deployment in one department with weekly check-ins. Weeks 9–12 are pilot expansion and team training. After week 12, optional quarterly advisory ensures the systems keep working as the AI tools evolve. Marji keeps the cadence transparent so legal, IT, and the executive team always know what is happening next.

• Which industries benefit most from corporate AI consulting?

  Financial services (compliance, customer service, regulatory reporting). Healthcare (administrative workflows, patient communication drafts, internal knowledge bases). B2B SaaS (sales enablement, customer success, technical documentation). Consumer brands (content production, social, customer service). Nonprofit and faith-based organizations (donor communication, content programs across distributed offices). Marji has worked across all five.

• How much does corporate AI consulting cost?

  Investment varies by scope. AI opportunity audits typically run a defined fixed fee. Department-level pilot deployments are scoped per engagement. Quarterly advisory retainers are billed quarterly. Marji takes on a small number of partner engagements per quarter to keep the work hands-on. The fastest way to get a real estimate is to send a brief through the contact page with your industry, headcount, and the departments you want to start with.

• How do I find a good corporate AI consultant?

  Look for three signals. (1) Operating experience, not just consulting experience — has this person actually built and run AI systems inside companies, or only written about them? (2) Brand voice and editorial judgment — corporate AI deployments produce content; consultants without taste produce sludge. (3) Cross-industry references — AI patterns are surprisingly portable, so a consultant who has worked across financial services, nonprofit, healthcare, and consumer brands will see opportunities others miss. Marji has done all three for Capital One, KOHLER Co., the ADL, the United Methodist Church, and Cancer Treatment Centers of America.

• Who is Marji Sherman as an AI consultant?

  Marji J. Sherman is a Miami-based AI consultant for corporations and the founder of The MJS Brand LLC. She has 15+ years embedded inside enterprise marketing and communications teams, recognized on leading international influencer lists for marketing, digital media, and public relations, and featured in Inc. Magazine and on Jay Baer's Social Pros podcast. Her practice combines AI strategy, deployment, governance, and brand-voice protection for corporations adopting AI across operations.

• How do I get started with corporate AI consulting?

  Send a brief through the contact form with: your industry, company size, the departments you want to apply AI to first, any internal AI usage already happening (sanctioned or not), and your timeline. Marji replies personally within 1 to 3 business days. If it is a fit, the next step is a 30-minute scoping call followed by an AI opportunity audit proposal.