Generative AI Strategy Consulting for Enterprises

Together, we’ll design a practical AI strategy that helps you automate your enterprise, avoid costly mistakes, and ensure responsible AI implementation that works for years to come.
Ideal for
First-time Generative AI adopters
Enterprises who want long-term digital transformation
Organizations that want to supplement in-house AI expertise

Evaluating Business Alignment

Review of your current business strategy
Assessing alignment with Generative AI solutions
Providing tailored recommendations

Setting Strategic Generative AI Priorities

Identifying top business priorities
Preempting core problems with Generative AI solutions
Limiting implementation to 3-5 use cases

Short-Term Gen AI Adoption

Executing 2-3 AI projects to gather foundational data

In-depth Analysis and Planning

Assessing data and creating a long-term data plan
Ensuring ethical and legal compliance
Assessing and improving infrastructure
Identifying AI skill gaps and developing plans for hiring, training, and collaboration with experts

Implementation and Monitoring

Monitoring and optimizing infrastructure and data
Creating a long-term Generative AI vision
Detailed planning for selected Gen AI use cases
Communicating progress to stakeholders
Performance evaluation
Maximize ROI, Minimize Costs

Benefits of Our Generative AI Strategy Service

Our AI strategy helps you make the right decisions on your first try and establish AI-powered workflows for the long run.

Maximize ROI

We’ll determine where AI can make the most difference for your enterprise before you pour money into development.

Cost Savings

We’ll help you choose the most cost-effective options for your use case and preempt common costly mistakes.

Data Privacy, Security, and Compliance

We’ll assess potential risks, provide security recommendations, and keep you updated on the latest regulations.

On-Demand Troubleshooting

We’ll help you fix any potential issues and optimize and evolve your AI over time.

Easy Development and Integration

We’ll share battle-tested lessons we’ve learned while developing AI ourselves.

Long-Term AI Adoption

We’ll provide guidance on monitoring your AI, developing in-house AI talent, and more.

2+ Generative AI Projects

We’ll guide the development and implementation of two to three initial Generative AI projects. That way, you get immediate value from our services.

Long-Term Data Plan

We’ll help you develop a plan for future data collection, so you can easily re-train your AI should your needs evolve over time.

Talent Recruitment & Development Plan

We’ll design a plan that helps you foster the right skills in your AI team and recruit new talent.

Turn Your Enterprise Into an AI-Powered Organization

Skip costly iterations, poor resource allocation, and subpar results. Start on the right foot with a smart AI strategy, made for the long-term digital transformation of your enterprise.
John Doe
Pay Stub
Total Pay
Net Pay
Federal Taxes
FICA - Medicare
Medical Record
Patient: 77248
Patient Demographic
Billing Cadence
Current Progress
Current Patient Response
Extract patient names, medical conditions, lab results, and any other data that speeds up administration, patient care, and your other processes.
Employment Contract
From our CEO
James W.
Samantha T.
Extract data like legal citations, contract dates, and specific clauses, and streamline your research, document drafting, and other legal tasks.

Extract Data

Extract data from documents in exactly the fields you need with zero human intervention.
More than an AI Consulting Company

Why Choose Multimodal As Your AI Consulting Firm?

Unlike many consulting firms, we develop AI ourselves for both our clients and our own internal needs. As our partner, you can leverage our first-hand experience and expertise gained in the trenches.

Areas of expertise: natural language processing, computer vision, data science
Reason #1

Hands-On AI Development Experience

Alongside consulting, we build custom AI solutions for clients.
By partnering with us, you can take advantage of the lessons
we have learned along the way and avoid repeating our mistakes.

Explore our custom AI solutions here:


custom Generative AI models built so far


end users using our AI systems


NLP, ML, data, and MLOps engineers and researchers on our team
Reason #2

Machine Learning and
Generative AI Leaders

We are actively involved in the development of the Generative AI field. This helps us stay on top of new advancements and best-practice approaches — and ensures we can always give you the best recommendations. 

Our founder, Ankur Patel, has written two technical books in artificial intelligence with O’Reilly Media, teaches AI at Open Data Science Conference (ODSC), and regularly speaks on applying AI in business at meetups and conferences.

Learn more about Multimodal here.

“By partnering with Multimodal, you’re not just adopting technology; you’re learning to embrace a paradigm shift in how work gets done.”
Ankur Patel
CEO + Founder of Multimodal
Reason #3

Proven Track Record

We’ve helped numerous clients achieve their
desired results with Generative AI. Here are just some.


of the average client workflow automated with our AI technology


increase in revenue achieved by clients since using our AI


faster internal operations thanks to our Generative AI solutions
Reason #4

Clients Across Industries

We are developing AI solutions for companies in almost any industry. This allows us to provide tried-and-tested guidance for your enterprise, regardless of the field you’re in.


Finance companies use our Generative AI to prevent fraud, process financial documentation, generate financial reports, and perform other high-stakes tasks in a fraction of the time.


Legal companies use our Generative AI to prepare for trials, process existing legal documents, and create new ones, primarily contracts and leases.


Healthcare companies use our Generative AI to provide better patient care in less time, preempt health risks, minimize human error, and much more.

Sales & Marketing

Sales and marketing companies use our Generative AI to turn raw customer data into actionable insights, generate on-brand content, and automate other knowledge tasks.

Customer Service

Customer service providers use our Generative AI to analyze customer inquiries and generate personalized responses in seconds.

Other Industries

We also work with HR, SaaS, and companies from other industries. 

HR companies use our Generative AI to create anything from employment contracts to employee handbooks; SaaS companies use it to generate API documentation; and companies across industries use it to accelerate their workflows, minimize mistakes, and serve customers faster. 


of companies (or over 250 million companies) are either using or exploring the use of AI. (IBM Global AI Adoption Index 2022)


AI adoption is 2.5x higher today than it was in 2017. (McKinsey Global Survey on AI, 2022)


of leaders are confident about their company’s ability to predict the ROI of current AI initiatives. (PwC 2022 AI Business Survey)


The average number of AI capabilities that organizations use has doubled from 2017.


of businesses expect AI to increase productivity.(Forbes Advisor, 2023)

2.5 hours

AI already saves the average employee 2.5 hours per day. (HubSpot, 2023)

Turn Your Enterprise Into an AI-Powered Organization

Skip costly iterations, poor resource allocation, and subpar results. Start on the right foot with a smart AI strategy, made for the long-term digital transformation of your enterprise.


What can I expect from the call?
The call is meant to introduce you to our services and explore whether and how we can help your enterprise. It is completely non-obligatory.
Can you also develop our Generative AI models for us?
Yes. Please schedule a call to explore this option further or visit our product pages for more details.
How can our company use Generative AI?
Your company can use Generative AI to automate almost any knowledge-based business process. Many companies need Generative AI to better utilize the data they already have or receive on an ongoing basis; others use it to generate new data, such as marketing content, legal documents, and financial reports.

With that in mind, here are only a few ways in which you can use Generative AI systems:
  • Applicant/candidate verification — Finance companies, for example, can use Generative AI to verify applicants’ bank statements and paystub data. Companies in all industries can use it during recruitment processes to verify and compare candidates’ details.
  • Fraud detection — Companies can also use Generative AI to detect data discrepancies and patterns that could indicate fraud. For example, unusual transaction amounts, discrepancies in reported fund allocation and actual spending, and unusual patterns of claims could all be signs of fraud that AI can detect.
  • Content generation — Companies can use AI to generate not just marketing content but also work documents, such as contracts and reports.
  • Data analysis — Companies are also using AI to turn raw data into useful, actionable insights. For example, software companies analyze customer data to plan future product development, while healthcare companies can analyze patient data to prevent potential health risks.
  • Customer service — Many companies also rely on Generative AI technology to provide customer service. They use it to analyze customer inquiries and feedback and provide context-aware responses quickly.

    We’d be happy to explore how AI could benefit your company during a free, 30-minute consultation
What is the importance of AI strategy? 
An AI strategy helps your company (and everyone in your company) prepare for AI adoption, preempt common challenges and risks, and leverage AI technology in the best way possible. Without it, companies are risking irresponsible AI implementation, employee frustration, and overall low ROI.
What are the benefits of Generative AI models?
Unlike their predecessors, Generative AI models can automate a wide range of business processes, including those that used to require strictly human expertise. This is in no small part due to their superior ability to understand natural language, which makes them incredibly versatile and accurate.

For example, Generative AI models can accurately understand and generate a wide range of documents, from financial reports to blog posts. They can also perform high-stakes tasks, such as decision-making based on data.

Learn more about the benefits of Generative AI for businesses here.
What is AI strategy consulting?
AI strategy consulting is a process that helps companies implement AI technology in a way that’s profitable, responsible, and aligned with their business models, processes, and objectives. It works best for companies who want to develop, implement, and/or maintain AI in-house, but avoid common mistakes made by inexperienced teams and ensure long-term success.

It involves evaluating existing resources, such as available infrastructure, recommending other necessary resources, guiding AI development and implementation, developing talent, and more. 
What is the goal of AI strategy consulting?
The goal of AI strategy consulting is to minimize the risks associated with AI development, maximize ROI, and find the most cost-effective, efficient, and compliant solutions for company-specific needs.
What does an AI consultant do?
An AI consultant evaluates a company’s existing systems, resources, and business strategy, and provides high-level guidance and recommendations for AI development and/or implementation. They can also advise companies on the latest developments in the AI field, be involved in AI-related decision-making, and provide ongoing support. For example, they can help companies troubleshoot issues or suggest re-training based on user feedback.
What are the four pillars of an AI strategy?
When talking about the four pillars of an AI strategy, most people are referring to vision, value, risk, and adoption. Potential adopters will need a plan for each of these four pillars.
  • Vision — Answers questions such as: What do you want to achieve with AI technology? What AI capabilities could you leverage? How will you measure your success?
  • Value — Answers questions such as: What impact will artificial intelligence have on your company? What’s the business value of incorporating machine learning models into your systems?
  • Risks — Answers questions such as: What risks or challenges do you anticipate? How will you mitigate them?
  • Adoption — Answers questions such as: How will you adopt AI? Do you have the necessary infrastructure? Which AI applications will be the most useful for you? 
We cover all of this (and more) in our Generative AI Strategy.