What does an AI consultant do?

A good one maps your workflows, picks where AI pays off, designs where people approve, builds or sources the solution, connects it to your systems, trains your team and measures the result against a baseline.

What is the difference between an AI consultant and an AI software vendor?

A vendor sells its own product, which suits standard problems. A consultant or implementation partner starts from your workflow and builds or configures a solution around it, which suits work that is specific to your business.

What should I prepare before talking to an AI consultant?

A short list of the workflows that take the most hours, rough weekly volumes, the systems involved, and who owns each process. That is enough for a useful first conversation.

Do we need an IT team to work with an AI consultant?

No. A good partner checks data readiness during discovery, handles the build and integration, and trains your team to run the solution.

How to choose an AI consultant in Singapore: a checklist for SMEs

Last updated: 28 October 2026

BizGrants Consulting · 28 October 2026 · 4 min read

The right AI consultant starts with your workflows, sets a baseline, builds something that works on your own data, and leaves your team able to run it. The wrong one sells a tool first, or a strategy deck that never turns into a working system. With AI adoption now a national priority in Singapore and new funding routes in place, there is no shortage of firms offering AI consulting. This checklist helps an SME owner or manager tell them apart.

Three kinds of AI help

	Strategy adviser	Software vendor	Build and implement partner
What you get	An assessment and a roadmap	A licence for their product	A working solution on your workflows, with training
Strength	Big-picture priorities	A tested product, quick to start	Fits how your business actually runs
Watch for	Nothing gets built	Your process bent to fit the tool	Unclear ownership after go-live
Best when	You need board alignment first	A standard tool solves the problem	The workflow is specific to you

Many SMEs need a little of each. What matters is that someone owns the outcome, from the first workflow map to the measured result.

A ten-point checklist

They start with your workflows, not a tool. The first conversation should be about where the hours go, not which platform to buy.
They set a baseline. Hours per week, turnaround time and error rate, measured before anything is built.
They show working builds. Ask for a demonstration on data similar to yours, not only slides.
They connect to your systems. Email, WhatsApp, accounting software, CRM, ERP and shared drives, tested on your real data.
They design approval points. A person signs off anything that touches customers, money or compliance.
They are clear on data. PDPA handling, who can see what, and settings so your data is not used to train public AI models wherever the platform allows it.
They train and hand over. Hands-on training, documentation, and a named owner on your side after go-live.
They plan the people side. Which roles change, how, and how staff are reskilled. Projects that skip this rarely last.
They know the grant rules. Apply before signing or paying, and fund each cost under one scheme only.
They have done it in your industry, or in a workflow close enough to yours, and can explain what went wrong as well as what went right.

Red flags

Promising headcount cuts before anyone has mapped the work.
“AI for everything” with no first workflow and no measures.
Asking you to sign or pay a deposit before a grant application is submitted, if you plan to use one.
Vagueness about who builds it and who maintains it afterwards.
No plan for your data, or terms that make it hard to take your data and workflows elsewhere.

Questions to ask in the first call

Which workflow would you start with, and why?
What baseline will we measure, and what result would count as success?
Who builds the solution, and who supports it after go-live?
Where will a person approve, and how is that enforced?
What data will it access, and how is it protected?
How will the roles change, and how will our team be trained?
Which grant applies, and what has to happen before we sign anything?

Can a grant pay for AI consulting?

Often, yes. The SkillsFuture Workforce Development Grant (Job Redesign+), WDG(JR+), funds workforce consultancy and, under its Workforce Tech Solutions component, AI and automation that changes how work gets done, at 70% for SMEs and 50% for non-SMEs. The Enterprise Compute Initiative funds 70% of AI consultancy costs, capped at S$105,000 per company, for eligible companies working with a participating cloud provider, including a minimum of 10 staff in Singapore and a tech team of two. All funding is subject to eligibility and approval. Our guide to AI grants in Singapore compares the routes.

How we work

At BizGrants, we map your workflows and pick the first one with you, our tech team builds and deploys the solution and trains your team, and we redesign the roles around it and handle the WDG(JR+) application. Staff in the redesigned roles can then be invited to apply for Career Conversion Programme salary support. See our AI transformation page and the AI use case library.

Frequently asked questions

Q: What does an AI consultant do?
A: A good one maps your workflows, picks where AI pays off, designs where people approve, builds or sources the solution, connects it to your systems, trains your team and measures the result against a baseline.
Q: What is the difference between an AI consultant and an AI software vendor?
A: A vendor sells its own product, which suits standard problems. A consultant or implementation partner starts from your workflow and builds or configures a solution around it, which suits work that is specific to your business.
Q: Can a grant pay for an AI consultant in Singapore?
A: Often, yes. WDG(JR+) funds workforce consultancy and AI that changes how work gets done, at 70% for SMEs, and the Enterprise Compute Initiative funds 70% of AI consultancy costs, capped at S$105,000, for eligible companies working with a participating cloud provider. All funding is subject to eligibility and approval.
Q: What should I prepare before talking to an AI consultant?
A: A short list of the workflows that take the most hours, rough weekly volumes, the systems involved, and who owns each process. That is enough for a useful first conversation.
Q: Do we need an IT team to work with an AI consultant?
A: No. A good partner checks data readiness during discovery, handles the build and integration, and trains your team to run the solution.

Sources

See WDG(JR+) and DISG’s Enterprise Compute Initiative page. Figures reflect official material as at 28 October 2026.

This article is general information, not financial or legal advice.