Glossary

AI Consultant

What is AI Consultant?

An AI consultant helps organisations use AI sensibly and responsibly. Typical tasks include assessing potential, selecting suitable use cases and tools, embedding them in existing processes and responsibilities, data protection and compliance questions, and training. Good consultancy weighs benefits and risks soberly and takes into account the people who work with the systems. Example: a mid-sized company clarifies which customer enquiries can be reliably automated.

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Topics

Consulting
Strategy
Adoption

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Related terms

Return on AI (ROAI)

Return on AI describes the economic return of an AI deployment relative to its costs. A simple rough calculation is: hours saved per month × hourly rate, minus the costs of licences, model usage, set-up and support. If a team handling 200 requests needs 4 instead of 10 minutes per request, it saves 20 hours a month. Such calculations remain estimates; quality, error rates and onboarding time should also be taken into account.

cost-effectiveness
cost-benefit
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Template

Go-to-market (GTM)

A go-to-market (GTM) strategy sets out how a product or service will be launched successfully in a market: which target group has which problem, how the offer is positioned and priced, which channels it is sold through and which metrics measure success. A GTM plan links marketing, sales and product. Example: a software provider starts with one industry, one partner channel and a 90-day goal.

Strategy
Market launch
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Template

AI-Driven Start-up

An AI-driven start-up is a young company whose product or business model is fundamentally based on artificial intelligence, such as specialised assistants for an industry, analytics tools or automated services. Such start-ups often build on existing foundation models and differentiate themselves through domain expertise, data, usability and integration. Challenges include dependence on model providers, cost per request and regulation. Example: a start-up that automatically prepares inspection reports for trade businesses.

Start-up
Business model
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AI prototype development

An AI prototype is an early, working version of an AI application that lets a team test an idea quickly and at modest cost. Rather than planning for months, you try it with real data and users to see whether the AI solves the task reliably enough, which data is missing and what value it delivers. Example: an assistant that pre-sorts customer enquiries is trialled on part of the inbox for two weeks before deciding on a wider roll-out.

Project approach
Prototyping
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