MyM Consultancy

Interested in AI but don’t know where to start?

We help businesses like yours implement AI.

There’s a gap between knowing AI could help and having it actually work. We are there to close it by understanding how your team operates, finding where AI can save real time and money, picking the right tools and training your people to use them well.

We design solutions around your team, with AI workflows that follow your people, not the other way around.

Where can we help you with AI

Content and
communication

Customer-facing
AI

Knowledge management

AI for
translators

Research and intelligence

Technical
advisory

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How we work

01

Understand

Getting to know how your team really works. Where time slips away, what tools you rely on, what’s good fit for AI and what isn’t.

02

Build

Designing the workflows your team will use, with guardrails where mistakes could cascade and humans in the loop when AI isn’t sure.

03

Train

Getting your team confident using AI well. How to write a good prompt, how to get reliable output and who owns what.

04

Maintain

Staying involved after launch. Whether the tools still earn their cost, whether quality holds up, what needs adjusting as your team grows.

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About us

We started this consultancy because we saw how difficult it is for businesses to use AI effectively.

The pattern is clear: companies struggle with identifying the right AI tools in rapidly changing market, the ones they buy never get properly used as their people are not trained or data is not properly structured, and nothing seems to work as advertised.

We combine hands-on experience with building advanced AI systems with a background in research and capacity building to help you bridge these gap by setting up things that work and training people how to get the most out of AI.

We’re a small team and we intend to stay that way – adding personal touch to every project.

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Frequently asked questions

Start by looking at where your team’s time actually goes – not what you think the problems are, but the repetitive tasks people complain about or quietly work around. List the ones that eat the most hours or cause the most friction. Pick one or two with clear inputs and outputs, something like invoice processing, email triage, or drafting standard reports. Test a simple AI tool on that narrow task, see what it gets right and wrong, and build from there. An AI expert can help map the landscape and pick the first target, which is usually the hardest part.

An AI consultant looks at how your business runs, identifies where AI can genuinely help (and where it can’t), picks the right tools for your situation, and trains your team to use them well. The role sits between business and tech – less about building AI from scratch, more about fitting existing AI tools to your workflows, your data, and the people who’ll use them. The best ones stay involved after setup, so when your team hits rough patches or the landscape shifts, someone who knows your stack is there.

Small companies often get the most out of AI, not the least. You don’t have layers of bureaucracy to navigate, approvals are fast, and a single repetitive task automated away can save a meaningful share of your total work. Big corporations have scale but also complexity – AI rollouts at that size take months of coordination. A small team can test a new AI tool on Monday and have it helping by Friday. The main limits are time to learn and a clear idea of what you want AI to do.

The honest answer is that it depends on where time and money leak in your specific setup. Across most businesses, AI handles a few recurring things well: drafting and editing written content, answering customer questions from your own documents, extracting data from messy files like invoices or emails, monitoring competitors and customer feedback, and running first-pass analysis on reports. What’s worth doing for your business is the intersection of what AI does well and what costs you the most in time or mistakes today. An AI expert can map that intersection in a short audit, which usually surfaces three or four concrete starting points.

A typical engagement covers four areas. Assessment – understanding how your business runs, where AI fits, and what’s worth tackling first. Solution design – picking tools, designing the workflows, handling data preparation and security. Implementation and training – building the flows, integrating with your systems, teaching your team to use them well. Ongoing advisory – check-ins to monitor quality, adapt as tools change, and guide the next round of adoption. Not every company needs every piece – good consultants scope to what you actually need rather than selling the full menu.

It can be, but safety isn’t automatic – it depends on which tool you pick and how you use it. Reputable providers hold compliance certifications – SOC 2, GDPR, and similar – which outline exactly how they handle, store, and protect data. That’s a minimum bar, not a guarantee. Before trusting a tool with anything sensitive, check whether the certificate is issued by a reputable auditor, whether your data is used to train the model (most business tiers opt you out by default), and whether you can see what leaves your systems. For genuinely sensitive data, set rules on what employees can paste in – a clear usage policy goes further than any certificate. An AI expert can help evaluate vendors and design the guardrails that fit your risk tolerance.

When the cost of being wrong is high and catching the error is hard. High-stakes financial decisions, legal judgments, hiring and firing, anything affecting someone’s safety or dignity – these need human judgment at the point of decision, not after. Also skip AI when the task depends on knowledge no one has given the AI access to (it’ll invent), when the stakes of confidentiality are high, or when the task is so infrequent that setting up AI takes longer than just doing it. The honest rule: if a mistake would be expensive or irreversible, AI supports the decision but doesn’t make it.

Yes – a good AI consultant handles the technical layer so your team focuses on adoption, process, and results. Most SMBs getting value from AI don’t have an IT department. They have a consultant who picks tools, sets up workflows, handles integrations, and then trains the team to use and maintain what was built. The handover matters: by the end, your team should be able to use and extend the setup without calling for every small change. If a consultant wants to stay essential to basic operations, that’s a red flag. An AI expert focused on enabling your team is the one you want.