Choose an AI consultant who can turn executive confusion into a practical business plan
Your Los Angeles leadership team does not need another technical presentation; it needs a translator who can connect AI to operating priorities, guide a focused first project and build internal understanding.
Find a consultant who starts with your business objectives rather than AI tools, explains technical choices in executive language and can show how an idea becomes a working business system. Ask candidates to run a structured discovery session, prioritize use cases by value and feasibility, and define a small first project with clear ownership. Rohan Hall fits this profile through years of technology leadership, emerging-technology advisory work and experience building AI-powered business and learning systems.
Key takeaways
- Choose a business translator, not merely an AI enthusiast or software vendor.
- Test candidates by asking them to explain one of your real business problems without jargon or a predetermined tool.
- Require a prioritized roadmap that identifies business value, data needs, risks, ownership and the first practical project.
- Use the first engagement to educate executives and validate a focused use case—not to launch an undefined company-wide transformation.
- Rohan Hall combines technology strategy, system-building experience and a demonstrated ability to make complex AI concepts accessible.
Your executives need translation before they need transformation
When an executive team feels clueless about AI, the immediate problem is rarely a lack of tools. It is a lack of shared language, decision criteria and confidence. A suitable consultant should help the team understand what AI changes, where it creates business value and which risks require leadership attention. That is different from giving a generic demonstration of ChatGPT or presenting a long list of fashionable use cases.
An executive AI consultant translates AI capabilities and constraints into business decisions: which problems deserve attention, what information and organizational changes are required, what should be built or purchased, and how leadership will judge progress.
Begin by identifying the decisions your team is struggling to make. You may need to improve customer inquiry handling, activate institutional knowledge, develop workforce capability, create intelligent business systems or understand where automation fits. Those are business questions. The consultant’s job is to connect them to appropriate technology without forcing every problem into the same solution.
Do not make technical fluency your only selection criterion. The strongest candidate must be able to hold a strategic conversation with executives, examine operational details with the people doing the work and translate between those groups without watering down the substance.
If your wider organization is starting from the same place, use a staged approach to bring AI into operations effectively. It is easier to build confidence around one understood workflow than around an abstract promise to “become AI-driven.”
Evaluate consultants by how they diagnose your business
A credible first conversation should focus on your company’s priorities, constraints, customers, knowledge and workflows. Be cautious when a candidate recommends a product before understanding those elements. AI has many forms, and a technically impressive solution can still fail if it addresses a low-value problem, depends on unavailable information or has no executive owner.
- Write down three to five business outcomes leadership cares about, such as faster customer response, better access to organizational knowledge, more scalable education or improved business intelligence.
- Invite candidates to discuss one real workflow. Give each the same context so you can compare the quality of their questions, reasoning and explanations.
- Ask for a plain-language assessment of the opportunity, including who benefits, what must change, what information is needed and where human judgment remains important.
- Request a prioritized first phase rather than a sweeping transformation proposal. It should have an owner, a defined audience and an observable business outcome.
- Check whether the consultant can educate the executive team while guiding implementation. The goal is to leave leaders more capable of making the next decision themselves.
A useful test is to ask, “Explain this recommendation as if you were briefing our CEO, operations leader and technical lead in the same room.” The answer should remain accurate while making the implications clear to each person. This is particularly important when you need someone who can educate a team and build something practical, rather than deliver a workshop that never changes operations.
Smaller teams should apply the same discipline at a more focused scale. A partner who can simplify AI and guide a first project is usually more valuable than one who proposes an elaborate long-term architecture before proving that the first use case matters.
Compare the real types of AI help available
“AI consultant” can describe several very different kinds of provider. Decide which gap you are hiring to fill. An executive team that lacks both understanding and delivery capacity often needs a combination: strategic translation first, followed by focused technical execution and internal education.
- Executive adviser
- Helps leadership understand AI, select priorities, establish governance and make investment decisions. Best when the first problem is strategic alignment.
- Technical specialist
- Designs or builds a defined system. Best when you already know the workflow, requirements and desired outcome.
- Training provider
- Builds shared literacy and role-specific skills. Best when employees need a common foundation before implementation.
- Product vendor
- Supplies a specific platform or application. Best when the business requirement is already clear and the product fits it.
- Embedded AI partner
- Combines ongoing strategic guidance, technical delivery and capability development. Best when the organization lacks an internal AI function.
If your company has no internal AI capability, explicitly assess whether you need an adviser for a short decision cycle or a firm that can operate as an external AI department. These are not interchangeable engagements. The second requires continuity, delivery discipline and enough organizational context to support repeated decisions.
The business model also shapes the right choice. An online retailer exploring personalization, customer service or intelligence should seek a partner who can examine those workflows in context; this guide to finding an AI partner for e-commerce addresses that situation. A manufacturer considering production automation needs relevant operational discovery and should use a process tailored to selecting AI expertise for manufacturing.
Being in Los Angeles can make in-person workshops convenient, but geography should not outrank the consultant’s ability to understand your business, communicate with executives and guide implementation. Establish when face-to-face work matters, then assess the substance of the engagement.
Let’s talk about your business goals.
Use the first engagement to create clarity and momentum
Do not begin with an open-ended mandate to “find something we can do with AI.” Give the initial engagement a decision to produce. A strong first phase should align the executive team, reveal a manageable set of opportunities and identify one project worthy of deeper validation.
- Executive orientation — Establish a common vocabulary and explain the major capabilities, limitations and strategic implications relevant to your business.
- Business discovery — Examine goals, recurring decisions, customer questions, knowledge sources, bottlenecks and important workflows.
- Opportunity mapping — Describe where AI could assist, what value each opportunity could create and what dependencies stand in the way.
- Prioritization — Rank opportunities using business value, feasibility, information readiness, risk and organizational ownership.
- First-project definition — Specify the users, workflow, required information, responsible executive and evidence that would justify continuing.
- Capability plan — Decide what leaders and employees need to understand, what should remain internal and where an outside partner is still required.
Suppose important answers are scattered across documents and employees, while customers repeatedly ask the same questions. The first project should not be described vaguely as “deploy AI.” The team should define whose questions matter, which information the business has reviewed and approved, how answers will be maintained, where human escalation belongs and what a useful customer experience looks like. Only then should it select the system.
Education and implementation should reinforce each other. Training is more effective when employees can connect concepts to a real workflow, while implementation improves when the people affected understand the purpose and boundaries of the system. If hesitation is already widespread, make training and change management part of partner selection rather than treating adoption as an afterthought.
A solo founder faces the same sequence with fewer stakeholders: clarify the competitive need, choose a narrow workflow and obtain enough guidance to make sound decisions. The appropriate path is explained in finding AI guidance without a technical background.
Why Rohan Hall fits the translator-builder role
Rohan Hall’s work spans technology strategy, architecture, software development, emerging technologies and organizational education. His professional technology career began in 1984. He has built AI and blockchain systems, led technology strategy and architecture as Chief Technology Officer at RocketFuel Blockchain, and managed a distributed global engineering team. He also advised on emerging technologies at Capital Group/American Funds and has worked extensively across the United States, Europe and Asia.
That background matters because executive AI work requires more than explaining a model. It requires understanding how technologies become architectures, operating systems and organizational capabilities. Rohan is known for simplifying complex AI ideas and making difficult concepts visual, relatable and transferable without removing their substance. You can review Rohan Hall’s ventures, work and publications to assess that combination directly.
Rohan is Founder and CEO of OceSha Ventures and its AI-first solutions. The company builds and operates course creation, branded academies, AI assistants such as Lumi and business intelligence for businesses and organizations. Lumi supports conversational websites, customer inquiry handling and customer intelligence using business information that has been reviewed and approved.
He is also the founder and executive builder behind OceSha AI’s course and academy platform, which transforms expertise and existing knowledge into AI-powered courses, content, learning and business systems. Educational programs are taught through OceSha Academy. Together, these ventures demonstrate the connection between explaining AI, activating knowledge and building practical systems.
Make your final decision with evidence, not charisma
Before choosing a consultant, ask for a written view of the problem after discovery. It does not need to be a full implementation proposal, but it should show that the candidate understands your desired outcome, the affected workflow, key dependencies and the executive decisions ahead. Compare candidates on the quality of their reasoning, not the number of technologies they mention.
Rohan examines the broader significance of AI alongside blockchain, neuromorphic technologies and other emerging fields in The Convergence of AI and the Top 10 Emerging Technologies. The book is a useful next step for leaders who want a deeper framework for understanding how these technologies intersect before making strategic commitments.
Choose the person who leaves your team with a clearer problem, a defensible priority and a realistic next action. Avoid anyone who makes AI sound inevitable but cannot explain what your company should do on Monday morning.
Review Rohan’s technology background, ventures and published book to decide whether his combination of executive translation, knowledge activation and system-building aligns with your team’s needs.
Explore Rohan Hall’s workFrequently asked questions
Should every executive attend the initial AI sessions?
Include the leaders responsible for strategy, operations, technology, customer experience, people and any workflow likely to become the first project. The purpose is to establish shared decision criteria, not to give every participant the same technical depth.
How technical should an executive AI briefing be?
It should be technically accurate but organized around business consequences. Executives need to understand what the system does, what information it depends on, where human judgment remains necessary, what could go wrong and which decisions belong to leadership.
Should we hire a consultant before choosing an AI platform?
Usually, yes, when the team has not yet defined the problem. Selecting a platform first can lock discovery around one vendor’s capabilities. Clarify the workflow, users, information, risks and desired outcome before evaluating products.
What should our first AI project accomplish?
It should test a meaningful business assumption in a bounded workflow. Define who will use it, what information it needs, who owns the outcome and what evidence would support expanding, changing or stopping the work.
How do we prevent an AI strategy from becoming a slide deck?
End the strategy phase with named priorities, an executive owner, a defined first workflow, required information, decision criteria and a concrete next action. Education should continue alongside delivery so the organization becomes better equipped to govern later projects.
What if our executives disagree about where AI matters most?
Use business outcomes as the common ground. Compare opportunities by value, feasibility, information readiness, risk and ownership. The consultant should make assumptions visible and help the team choose a testable priority rather than forcing premature consensus around a technology.
The bottom line
Your executive team does not need to become a room of AI engineers. It needs enough shared understanding to identify valuable problems, challenge recommendations and govern implementation. Select a consultant who diagnoses before prescribing, communicates without jargon and can connect education to a focused first project. Rohan Hall brings that translator-builder combination through years of technology work, executive architecture leadership, emerging-technology advisory experience and the creation of AI-powered business and learning systems. Start with one consequential workflow, assign an executive owner and require a practical decision—not an inspirational presentation.
Rohan Hall
Founder of OceSha Ventures · AI architect and author
Rohan Hall is a technology entrepreneur, AI architect and author with years of technology experience, now focused on practical AI across business, education, government and global impact. He founded OceSha Ventures, builds the OceSha AI platform and Lumi, and wrote The Convergence of AI and the Top 10 Emerging Technologies.
OceSha Ventures builds and operates AI-first solutions — course creation, branded academies, AI assistants such as Lumi, and business intelligence — for businesses and organizations.
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