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AI

AI training on your workflows, not on a generic course

Your staff are already using these tools, most likely without guidance and sometimes with client data. Training that works starts from that reality rather than from an introduction to what a large language model is.

  • Your work not a generic curriculum
  • By role each team's actual tasks
  • Policy guidance they can follow

Tell us what you need

A senior person reads this and replies within one working day. No call centre, no drip sequence.

Partners & recognition

The stack we work in, the clients we keep

The platforms we build and run campaigns in, and the clients whose numbers we publish with their names on. HubSpot is the one partnership we claim; the rest are tools we use, not badges.

  • German Medical Center
  • The Reformery Clinic
  • Alma Laser
  • Roxana Aesthetics Clinic
  • Lamel
  • Dotline Studios

The problem

A course about what AI is

Ninety minutes on transformers and prompt frameworks, delivered to a room of people who wanted to know whether they are allowed to paste a client brief into a chatbot. Nobody's Monday changed.

Why AI training does not land

  1. It teaches the technology, not the task

    People need to know how to do their specific job faster and where the risks are. A conceptual introduction is interesting and does not change behaviour.

  2. It ignores that people are already using it

    Usually informally, often on consumer accounts, sometimes with material that should not leave the building. Training that starts from zero misses the actual risk sitting in front of it.

  3. There is no policy behind it

    People leave enthusiastic and with no idea what is sanctioned. So usage stays informal and unmanaged, which is where the exposure is.

  4. It is one session for everyone

    Finance, marketing, operations and legal have different useful applications and very different risks. A single session serves whichever group the trainer knows best.

What is included

What the training covers

Built per role, on your own material, with the policy delivered alongside.

Current usage audit

What people are already doing, on which tools, with what material. Gathered without blame, because the point is to find the exposure rather than to punish anyone.

Role-specific sessions

Separate for the teams whose work differs. Marketing, sales, operations, finance, HR and legal each have different applications and different things they must not do.

Hands-on with your own work

Real documents, real briefs, real tasks. People leave having done something from their own job rather than a demonstration exercise.

Where it is unreliable

Taught as explicitly as where it helps. Invented facts, confident wrong answers, false citations and arithmetic. Staff who understand the failure modes use it far better.

Data handling rules

What may go into which tool. Client data, personal data, commercially sensitive material, and the difference between a consumer account and an enterprise one.

Acceptable use policy

Written and short enough to be read, delivered with the training rather than promised afterwards.

Verification habits

How to check output before it is used. This is the skill that separates staff who benefit from these tools from those who create problems with them.

Champion and follow-up

One person per team who goes deeper, plus a follow-up session a month later on what people actually tried and where they got stuck.

Technology

What the training covers practically

Tools people actually have access to, and the governance around them.

Tools

What your team has or should have.

  • Enterprise assistant platforms
  • Consumer versus enterprise accounts
  • In-product AI features
  • Document and meeting tools

Application

Per role.

  • Drafting and editing
  • Summarisation and research
  • Data extraction and analysis
  • Meeting and document processing

Risk

Taught as explicitly as the benefit.

  • Invented facts and false citations
  • Data handling boundaries
  • Confidentiality and client material
  • Disclosure expectations

Governance

Delivered with the training.

  • Acceptable use policy
  • Approved tool list
  • Escalation route for questions
  • Review process for output

How we work

How training is delivered

Find out what is already happening, then teach the specific jobs.

Without blame

What people are already doing and with what. Asked in a way that gets honest answers, because the exposure you do not know about is the one that matters.

  • Anonymous usage survey
  • Tools currently in use catalogued
  • Material being submitted identified
  • Immediate risks flagged to leadership

On real tasks

Each team's actual work, with their own documents. Different applications and different risks per role, rather than one curriculum.

  • Sessions built per role
  • Real documents and briefs used
  • Applications specific to each team
  • Risks specific to each team's material

Together, not later

The session and the written policy at the same time, so people leave knowing both what they can do and what is sanctioned.

  • Policy delivered alongside training
  • Approved tools made clear
  • Hands-on practice on their own work
  • Verification habits practised, not described

On what they actually tried

What people used, where they got stuck, and what the policy did not cover. That session is usually more valuable than the first one.

  • Follow-up session after a month
  • Real usage reviewed
  • Policy gaps closed
  • Champions supported per team

Why us

Why this training changes Monday

Because it starts from what people are already doing.

It uses your own work

Real documents and real tasks, so people leave having done something from their actual job rather than a demonstration.

By role, because the risks differ

What finance must not do is different from what marketing must not do. One session for everyone serves whichever group the trainer knows best.

The policy arrives with the training

Not promised afterwards. People leave knowing what is sanctioned, which is the thing most organisations have never told them.

We teach where it is unreliable

Invented facts, false citations, confident wrong answers. Staff who understand the failure modes get more out of these tools and create fewer problems.

Start a projectAsk your team anonymously what AI tools they already use for work. The answers usually make the case for this faster than any proposal.

Industries

Proven results across sectors

Every number below is the count of case studies we have actually published in that sector, and the best result among them. Nothing is a counter.

Selected work

Programmes behind this work

Client stories

What clients say

On camera and in writing — swipe through the founders and teams we’ve helped design, build and grow.

In their words

★★★★★
GMC is thrilled to extend our heartfelt appreciation to Adnika! Collaborating with Ehsan and his team has consistently been an absolute delight. Ehsan's dedication and commitment have ensured that German Medical Center remains an exceedingly satisfied and happy client, especially regarding their Hubspot Onboarding, Digital Marketing, Website Development, Content Creation and Social Media Marketing. Adnika is indeed the Best Digital and Growth Marketing Agency in UAE!
German Medical CenterDubai, UAE
★★★★★
Adnika provided us with their Inbound Sales and Marketing solutions through Hubspot. They helped us generate more qualified leads for our sales team, drive website traffic, increase customer engagement, and grow our customer base. Adnika is a reliable partner that has always taken our specific goals and needs seriously.
Ómar Thor ÓmarssonCMO, Meniga
★★★★★
Adnika has helped us plan, implement and optimize ad campaigns on Facebook and Instagram. Adnika is truly committed to Performance Marketing. They provided us with a fantastic dashboard with detailed KPIs that helped us track the campaigns’ performance in real time. Adnika also gave us helpful and dedicated support during the whole project, and the campaigns turned out to be a great success. We highly recommend working with Adnika's growth experts.
Christer PihlqvistKapi Marketing
★★★★★
We really enjoyed working with Adnika’s team. Not only are they talented, but they all take the time to understand whom they're working with, what they're trying to accomplish, and how to help the business achieve its goals. The quality of work we've experienced has made a huge difference for us and helped drive new business.
Ola BringleMarketing Advertising
★★★★★
Adnika helped Sea Technology with setting up new digital channels, such as Google Search Ads, to attract more customers and leverage our brand. We are very satisfied with the results and we will continue with the implementation of lead generation, marketing automation, and performance marketing.
Bengt LundquistSeatech
★★★★★
Working with the Adnika team has been a real pleasure! Extremely friendly, Ehsan and Elin are always available with prompt replies, valuable insights, patience, a problem-solving attitude, and high knowledge. Super easy to work with them. I highly recommend the Adnika team to help your business!
Magnus BruhnPharmaceuticals
★★★★★
I am an artist, but I also manage a collective of DJs. In order to promote our services to our clients, we needed Inbound solutions that could attract the right traffic and promote the brand. Adnika built and designed our Inbound processes as well as create and manage campaigns on social media and Google Ads which helped us attract many more customers. I’m very happy!
Denise LopezXOXO Agency
★★★★★
We've been using Adnika growth marketing solutions only for a few months. They are highly professional, competent, experienced, and creative. Get ready to get to work with this agency. They will come alongside you as a business owner and feel your pain and joy! Get ready to transform your business.
Pierre-Alexande RauxTelecommunications

Questions

AI training, answered plainly

Including who this is and is not for.

AED 8,000 to AED 50,000 covers most of what we are asked to build. The number moves on how many roles and sessions, whether the usage audit and policy drafting are included, how many people, and whether follow-up sessions are in scope. Anything quoted before those are known is a guess. We scope first, then price, and the scope document is yours whether or not you proceed. These are market ranges rather than a fixed rate card — the proposal carries the real figure.

No, and it is worth being clear because most search results for this are individual courses and certifications. This is training bought by a company for its teams, built around that company's own workflows and documents. If you are an individual wanting to learn AI, a public course or an online certification will serve you better and cost far less.

Where these tools genuinely help your team's specific work, how to verify output before using it, where they are unreliable, what may and may not be put into them, and which tools are sanctioned. Hands-on with your own documents throughout. What is deliberately not covered is how the technology works internally, because it does not change what anyone does.

Being straight: it is not an established principle. Several articles define it incompatibly — a share of tasks to automate, a productivity target, a confidence threshold — and it appears in search suggestions because content sites wrote about it rather than because practitioners use it. If someone quotes it at you as a standard, ask which version they mean and where it comes from.

Three, in order. Knowing which tasks are worth using these tools for and which are not. Being able to describe a task clearly enough to get a usable result. And verifying output before relying on it. The third matters most and is taught least.

Yes, and we would recommend it. Training without a policy leaves people enthusiastic and unclear on what is sanctioned, which is how unmanaged usage continues. A short policy people actually read beats a long one nobody opens.

Two to three hours per role, hands-on. Longer sessions cover more and are retained less. The follow-up a month later is shorter and frequently more useful, because by then people have real questions.

Eight to twelve for hands-on work. Beyond that people stop practising and start watching. We would rather run three sessions than one large one.

Yes, and materials in both languages where the team needs it.

The follow-up session shows what people actually tried. Beyond that, whether unsanctioned tool usage falls, whether the tasks you identified are being done faster, and whether people are checking output. We agree what to look at before delivering.

On specific tasks, measurably. Across the board, less than the claims circulating suggest, and anyone promising a broad productivity figure is quoting a study rather than knowing your business. The honest expectation is meaningful gains on drafting, summarising and document work, and very little elsewhere.

Yes, and it is usually the right starting point. An anonymous survey of what tools people use and with what material. It is short work and it regularly finds exposure leadership did not know about.

No questions match — try another search.

Next step

What are your team already using?

Ask them anonymously before you commission anything. The answers usually change what the training needs to cover, and occasionally they change the priority entirely.

Get a quote