Workshop · Transformation
Where it fits and where it does not
The useful question is not what artificial intelligence can do, but which part of your actual operation is worth pointing it at.
- Duration
- 3 hours
- Delivery
- On site · Virtual
- Participants
- From 6 to 20 participants
- Investment
- Request a quote
Investment depends on scope, number of participants and delivery mode. We prepare a proposal at no obligation.
The problem it solves
The artificial intelligence conversation in a small company usually runs backwards. It starts with a tool someone saw, continues with a trial that went well in a demonstration, and ends in a licence that two months later one person uses.
The trouble is that the opening question was about the technology rather than the work. Nobody looked first at where the organisation's time actually goes, which tasks repeat under stable rules, and which require judgement the company is not willing to hand over.
What remains is an expensive, muddled feeling: the sense of being behind, with no clear idea of behind what.
What it covers
The workshop works on the participant's real operation, not on case studies from other industries. The first part inventories tasks: what gets done, how often, by whom, and how much independent judgement each one demands.
A three-cut filter is then applied to that inventory. Volume and repetition, because something that happens twice a year justifies nothing. Stability of the rules, because a task whose criteria change monthly is not a candidate. And error tolerance, the cut that eliminates the most candidates: there are tasks where a plausible but wrong answer carries consequences the company cannot absorb.
The session ends with two lists. Where it fits, prioritised. And where it does not, with the reason written beside each one — which is what stops the same discussion recurring in six months.
What participants learn
- Inventory the operation's real tasks before looking at any tool.
- Apply a filter of volume, rule stability and error tolerance.
- Identify the work the company should not hand to a system.
- Prioritise candidates by effort and by consequence.
- Leave the reason for every rejection in writing.
Agenda
- Why starting from the tool usually fails
- Task inventory: frequency, who performs it, judgement required
- Volume and repetition as the first cut
- Rule stability: why shifting criteria disqualify a task
- Error tolerance and the cost of a plausible but false answer
- Work that is not delegated, and why to say so explicitly
- Prioritising candidates by effort and consequence
- What needs to be in order before automating with AI
What the organisation leaves with
- An inventory of your own operation's tasks.
- A prioritised list of where to apply AI first.
- A rejection list with the reason written beside each entry.
- Your own criteria for assessing the next tool that appears.
Programme details
- Format
- Workshop
- Also available as
- Executive talk · Intensive workshop · Corporate training day
- Languages
- Español · English
- Includes
- Participant workbook
- Action plan
- Post-training resources
- Facilitation
- ALUD Consulting LLC — Global Business Transformation.
Who it is for
- Owners and directors under pressure to adopt AI without knowing where to start.
- Area managers with repetitive tasks and small teams.
- Companies that already bought a tool and do not use it.
- Leadership teams that need a shared position before investing.
Frequently asked questions
- Are specific tools taught?
- No product is named or recommended. ALUD's position is that process is decided before tooling, and a workshop that starts from products produces decisions that expire with them.
- What if our conclusion is that it barely applies to us?
- That is a legitimate and common result, and it is cheaper to find out in one session than after an annual licence. The rejection list with its reasons is a deliverable, not a failure.
- Is technical knowledge needed to take part?
- No. The work is about your operation, which you know better than anyone. Someone technical adds value in prioritisation, but is not required.
Related articles
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Most businesses don't suffer from a lack of data. They suffer because the data they have doesn't arrive in time, together, or in a form that allows a choice.
Read more →The problem is almost never where it hurts
Symptom and cause rarely live in the same place. Why fixing what hurts tends to leave the business unchanged, and what to look at instead.
Read more →Request this programme
Tell us the context and we will prepare a proposal tailored to your organisation. No obligation.
Working this inside the organisation
If this challenge will not be settled in one session, ALUD Consulting LLC works it as consulting: management consulting, human resources, strategy, organisational design, leadership development and business transformation.