The question we hear most about AI is: "We know we should do something, but where do we start?" The answer lies in your business, not in the technology: repetitive, time-consuming, text- or data-heavy work is where AI creates value fastest.
Use cases that deliver value quickly
- Writing and content: First drafts of proposals, emails, product descriptions and social media posts.
- Document processing: Reading data automatically from invoices, delivery notes and order forms.
- Customer questions: Answering frequently asked questions instantly on the website or messaging channels.
- Meeting and report summaries: Summarising long meeting notes, reports and contracts.
- Data analysis: Spotting trends in sales and stock data and forecasting demand.
- Internal knowledge assistant: Answering employees' questions based on procedures, product and policy documents.
4 criteria for the first project
- A clear problem: Choose something measurable, such as "a proposal takes three hours on average".
- Accessible data: The documents and data needed must be digital and reachable.
- Low risk: Start with a process where a human still approves and mistakes can be tolerated.
- An owning team: The people who run the process must be involved.
Step-by-step roadmap
- Discovery workshop: List repetitive work and pain points with each department.
- Prioritisation: Pick two or three use cases by impact and feasibility.
- Pilot (4–8 weeks): Test with a small group and measure time and quality gains.
- Rules: Write an AI usage policy defining which data may be used with which tools.
- Roll-out: Extend the successful pilot to other teams and train them.
Mistakes to avoid
- Uploading customer and company data to free tools without control,
- Using AI output without checking it,
- Starting "experiments" without measurable goals,
- Leaving employees out of the process.
ujans starts your AI journey with measurable results through use-case discovery, pilots, secure infrastructure and team training.