What does an AI consultant do?
A AI consultant investigates where AI is useful in your company, which cases are prioritized and how you go from idea to usable workflow. The consultant translates business processes into concrete AI applications with clear control, measurement points and technical choices.
In practice, AI consultancy usually consists of these components.
| Part | What it yields |
|---|---|
| Process analysis | A list of tasks where AI can save time or improve quality |
| AI strategy | A sequence of projects based on value, risk and feasibility |
| Tool selection | A choice between existing tools, automation, customization or training |
| Prototype | A small test with real data before you make a larger investment |
| Implementation | A working solution with agreements regarding control, privacy and management |
Can you hire Jan Kenis as an AI consultant?
Yes. You can hire Jan Kenis as an AI consultant through Jakency for advice, analysis and guidance on practical AI applications. You work directly with Jan, not with an anonymous team or a separate tool vendor. This makes the process suitable for companies that want clear choices, short lines and actionable advice.
Also view the professional profile of Jan Kenis for his role at Jakency, expertise, projects and publications.
You can contact Jan for these questions.
| Question | What Jan helps determine |
|---|---|
| Where do we start with AI? | Which processes have enough value, volume and control |
| Which AI tools do we use? | Which tools suit your data, team and risk |
| What do we automate first? | Which workflow is suitable for AI automation services |
| When do we build custom solutions? | When AI software development is better than a standard tool |
| How do we become visible in AI? | How Generative Engine Optimization (GEO) and SEO help your brand appear in AI responses |
When do you need an AI consultant?
You need an AI consultant when you feel that AI can be useful, but do not yet know which application comes first. This especially applies to companies with a lot of repetitive knowledge work, separate tools, manual administration or unclear AI experiments within the team.
An advisory process makes sense in these situations.
- Your team is already using AI, but without a fixed approach or quality control
- You want to know which processes are suitable for AI automation services
- You have data, documents or customer questions that need to be processed faster
- You are unsure between AI tools, custom software and training
- You also want to become visible in ChatGPT, Gemini, Perplexity or Google AI Overviews
Which companies benefit from AI consulting?
AI consultancy is suitable for companies that want to use AI practically, but first need clarity about processes, data, tools and risk. This applies to SMEs, service providers, local companies, agencies, B2B companies and organizations with a lot of document work or customer contact.
These companies often quickly gain clarity from an advisory process.
- Companies with a lot of repetitive administrative work
- Teams that already use ChatGPT, Copilot or other AI tools without fixed agreements
- Companies that are unsure between AI training, automation and custom software
- Marketing teams that want to connect AI to SEO, GEO and content processes
- Companies with internal knowledge bases, documents or quotations that need to be more searchable
Which AI opportunities do you explore first?
You first investigate processes with a lot of volume, clear input and controllable output. AI is strongest when language, documents, customer questions, search data or reports are always processed in a similar way.
For SMEs, the first opportunities often lie in these domains.
| Domain | Example | Best next step |
|---|---|---|
| Administration | Summarize documents, recognize data, sort requests | Build AI automations |
| Sales | Qualify leads, prepare CRM tasks, create follow-up emails | Build AI automations |
| Internal knowledge | Search manuals, quotations, cases or procedures | AI software development |
| Marketing | Accelerate content briefs, SEO clusters, reporting and content auditing | Generative Engine Optimization (GEO) and what is SEO |
| Teamwork | Better prompts, appointments and safe AI use | AI training |
What is the difference between an AI consultant, AI developer and AI trainer?
An AI consultant determines what you should do and in what order. An AI developer builds the technical solution. An AI trainer teaches your team to work better with AI tools. In many processes you first need consultancy and only then automation, software or training.
The difference is mainly in the role.
- An AI consultant chooses and prioritizes the right use cases
- An AI developer builds connections, workflows and software
- An AI trainer teaches people to use AI safely and efficiently
- A GEO specialist makes your brand readable and discoverable for AI search and answer engines
How does an AI consultancy process work?
An AI consultancy process starts with analysis and ends with a concrete action plan or prototype. The aim is to quickly gain clarity: where is the value, what is feasible and which step produces results first?
- We map processes, tools, data and current pain points.
- We select AI opportunities based on value, risk and technical feasibility.
- We choose whether the best solution is training, automation, software or GEO.
- We build a small prototype or workflow proposal with real examples.
- We measure quality, time savings, risk and manageability.
- We determine the next implementation steps.
In practice
The best AI projects rarely start with the question of which tool is the most popular. They start a process that takes time every week, causes mistakes or slows down growth. Only then do we choose whether AI, automation, software or training is the right step.
What output do you get after AI advice?
After AI advice, it should be clear what you do first, why that choice makes sense and which risks are covered in advance. The result is not a vague AI plan, but a useful sequence of actions.
The output of an AI consultancy process can contain these components.
| Output | Why useful |
|---|---|
| Use case list | Shows which AI opportunities exist per process or team |
| Priority matrix | Ranks cases by value, feasibility and risk |
| Prototype proposal | Makes it clear which test is built first |
| Tool and data selection | Prevents you from investing in the wrong software too quickly |
| Implementation plan | Establishes roles, checkpoints, and next steps |
How do you choose a good AI consultant?
You choose a good AI consultant based on process insight, technical knowledge, realistic implementation and attention to risk. A consultant must not only show you tools, but also determine which AI application suits your work, data and team.
Pay attention to these points when making your choice.
- The consultant starts with processes and measurement points, not with a separate tool demo
- Attention is paid to privacy, data quality and human control
- The advice leads to a prototype, automation, software or training
- The consultant can explain when AI is not the right solution
- There is experience with SEO, GEO or digital growth when visibility plays a role
How does working with Jan Kenis work?
Collaborating with Jan Kenis starts with a sharp conversation about your company, processes, tools and goals. This is followed by a concrete proposal: advice, workshop, prototype, automation, software development, AI training or a combination thereof.
The collaboration remains deliberately practical.
- You discuss your situation and most important bottlenecks in a discovery call.
- Jan maps processes, data and AI opportunities.
- You are given priorities based on value, risk and feasibility.
- The best case is translated into a prototype, workflow or action plan.
- After validation, Jakency can help with implementation and follow-up.
Do you first want to know who is behind Jakency? Read more about About Jakency or immediately plan a free discovery call.
What does AI consultancy cost?
The cost of AI consultancy depends on the number of processes, the complexity of the data, the need for connections and the desired output. A brief analysis may be sufficient to determine priorities. A more extensive process is necessary when prototypes, integrations or implementation guidance are required.
Discuss your situation via a free discovery call. Then we can determine whether you need advice, a workshop, AI automations, AI software development or a combination.
How do you limit risks with AI?
You limit risk by not just letting AI decide freely. Good AI consultancy determines which data can be used, where human control is required, how output is assessed and who is responsible for exceptions.
These agreements belong in every serious AI project.
- Which data may and may not be processed
- Which output is always controlled by a human
- Which tools are used and where data ends up
- How prompts, rules, and exceptions are documented
- How results are measured after go-live
How does Jakency combine AI consultancy with SEO and GEO?
Jakency combines AI consultancy with what is SEO and Generative Engine Optimization (GEO). This is useful for companies that not only want to use AI internally, but also want to become visible in Google and AI search and answer engines. AI strategy is then about processes, content, data, technical readability and brand mentions in AI answers.