Helen runs an eight-outlet retail chain. In the same week, two companies pitched to her. A training provider offered to teach her staff to use AI. A consultancy offered to find AI opportunities and build solutions for her.
Both sounded useful. Both had a cost. Which one does her business actually need? The answer depends on what you're trying to achieve.
I. What AI training involves
AI training teaches your own people to use AI. That usually covers writing clear instructions for AI tools, working with documents, checking outputs and spotting where AI could help. The goal is capability that stays inside the company.
II. What AI consulting involves
AI consulting brings in outside experts. They assess your processes, recommend solutions and sometimes build or connect the tools for you. The goal is a specific result, delivered by people who have done it before.
III. Training vs consulting at a glance
| AI training | AI consulting | |
|---|---|---|
| Main goal | Skills | Solutions |
| Who does the work | Your staff | Consultants, with your staff |
| Typical result | Confident users, shared templates | A roadmap, built tools, system integrations |
| Best for | Everyday tasks such as writing, summarising and analysis | Complex systems, data and integrations |
| Main risk | Skills go unused without a plan to apply them | Tools go unused if staff aren't on board |
IV. Three scenarios
When training is enough: Siti runs a 12-person accounting firm. Her team wants help drafting client emails, summarising documents and checking spreadsheets. These are everyday tasks. Once her staff are trained, they can do this themselves.
When consulting makes sense: Marcus manages a logistics company that wants AI connected to its warehouse system and customer portal. That involves data, integration and security. He needs specialists to design and build it.
When you need both: Helen wants staff across her outlets to use AI day to day, plus a few custom tools for stock reports and customer enquiries. Training builds the skills. Consulting helps design and build the tools. Her own team then owns and improves them.
In Singapore, some consultancy may qualify for support. SWDA's Workforce Development Grant (Job Redesign+) can fund pre-approved consultants for work such as assessing AI readiness. Check eligibility before you assume it.
V. Common mistakes
- Hiring consultants before staff understand AI. The tools get built, but nobody uses them.
- Training without a plan to apply it. Skills fade if there's no real task to practise on.
- Choosing on price alone. The cheaper option can cost more if it doesn't solve the problem.
- Ignoring data protection. Both approaches need clear rules on what information AI tools may see.
VI. Four questions to decide
- Are your use cases everyday tasks, or do they involve your core systems?
- Do you have someone inside the company who can own AI adoption?
- Do you need a working tool by a specific date?
- Do you want the know-how to stay in-house?
Mostly everyday tasks and an internal owner? Start with training. Complex systems and a tight deadline? Consider consulting. A mix of both? Look for a provider that combines the two.
VII. The case for combining them
For many SMEs, the strongest approach is to train your people first, then build solutions with them. That way, the tools fit how your team works, and your team can keep improving them.
That's the approach behind AI Workforce's 90-Day AI Transformation for SMEs. It combines hands-on training with guided prototyping and optional implementation consultation. Still deciding between providers? Our guide to choosing corporate AI training can help.
Helen, Siti and Marcus are illustrative examples based on typical SMEs.