What an AI consultant actually costs in Singapore (2026 numbers)

If you’ve tried to find out what AI consulting costs in Singapore, you’ve probably hit the same wall everywhere: “book a discovery call”. Pricing as a secret, revealed only after you’ve spent forty-five minutes being qualified.

We think that’s a poor way to treat buyers, so here are the actual 2026 benchmark numbers (gathered from published rate cards and pricing research across Singapore, Australia, the UK and New Zealand), followed by why the ranges are so wide, what our own prices are, and the grants that can cut your out-of-pocket cost by half or more.

AI readiness audits and assessments

The audit (sometimes “readiness assessment” or “opportunity scan”) is the standard entry point: someone reviews your operations, data and workflows, and hands back a prioritised plan.

Published 2025–2026 benchmarks:

• Singapore, under 100 employees: S$15,000–35,000; for 100–1,000 employees, S$40,000–85,000 (Pertama Partners, who publish APAC benchmark figures)
• UK SME audits: £3,000–5,000 (Hartz AI, a London boutique with public pricing)
• US narrow SMB audits: US$2,000–8,000; mid-market focused audits US$5,000–15,000
• Productised solo-consultant audits: US$1,500–3,000 at the bottom; fixed three-tier offers US$3,000–10,000

Yes, that’s a 20x spread for things all called “an audit”. More on why below.

Day rates and workshops

For advisory work billed by the day, Singapore sits at the premium end of the region:

• Singapore: mid-level around S$3,400/day (roughly S$475/hour); senior practitioners S$4,800–6,800/day (Pertama)
• Australia: A$2,000–4,500/day for senior practitioners; SMB-tier hourly work A$100–250
• US freelance: US$600–1,200/day standard, US$1,500+ senior; firms US$1,500–2,500+
• New Zealand: NZ$200–350/hour for independents

Workshops and training: UK half-day executive workshops start around £1,500; Australian one-off SME workshops run A$497–1,997, with per-person productised courses at A$399–1,249. In Singapore, SkillsFuture subsidies can cut SME training costs by up to 90%, which is why generic paid training is a shrinking business here, and rightly so.

Implementation sprints

This is where AI consulting actually earns its keep in 2026: fixed-scope builds that hand back a working system rather than a deck:

• Boutique fixed-price agent builds: from A$5,000 for a 2–6 week build (Sandlabs, Melbourne, one of the few firms publishing exact prices)
• Solo/boutique SMB projects: US$5,000–50,000 scoped to a single workflow
• Singapore single use-case pilots at the mid-market tier: S$75,000–180,000 (Pertama)
• New Zealand discovery-plus-roadmap engagements: NZ$10,000–30,000 (CAIRN)

Retainers and fractional Chief AI Officers

For ongoing leadership without a full-time hire:

• Singapore fractional CAIO: S$15,000–35,000/month at two days a week; S$30,000–60,000/month at three (Pertama)
• UK SME fractional CAIO: £2,000–6,000/month at one to two days a week
• NZ advisory/virtual-CIO: NZ$3,000–8,000/month
• US mid-market: US$5,000–15,000/month advisory; US$15,000–40,000/month fractional

At the very top of the market, one prominent solo practitioner publicly prices fractional CAIO work at US$200,000–1,500,000 per year. That’s the ceiling, not the norm, but it tells you how elastic “AI consultant” is as a category.

Why the ranges are so wide

Three honest reasons:

Scope. A S$3,000 “audit” is a structured conversation and a templated report. A S$60,000 audit is weeks of workflow analysis, data assessment and stakeholder interviews across a 500-person organisation. Both are legitimately audits. Always ask exactly what’s examined, what’s delivered, and what you could action the day after.

Seniority and proof. Rates track what the practitioner has actually done. Someone who has operated AI systems in a real business charges more than someone who completed a certification last quarter, and in this field the gap between those two is enormous. Credentials are cheap in 2026; operating history isn’t.

Productised versus bespoke. Fixed-price productised offers are cheaper because the consultant has done the same engagement many times and absorbed the scoping risk. Bespoke work prices in uncertainty. If your problem is common (and most SMB AI problems are), you should be buying productised and paying less.

A buying tip from the other side of the table: be wary of any pricing you can only get after a sales call. Hidden pricing usually means the price depends on you, not the work.

What you’re actually paying for

Worth saying out loud: the model isn’t the product. The frontier models are a commodity you can rent for tens of dollars a month, and free training abounds: OpenAI and Anthropic both run free academies with certificate courses as of 2026. If a consultant’s deliverable is a tool recommendation and a slide deck explaining what a language model is, you’re overpaying at any price.

What’s genuinely scarce, and what the fees above are really buying, is implementation in your workflows: someone who redesigns the process around the tool, writes the runbooks, sets the measurement, and hands back a system your team operates without them. MIT’s NANDA research found pilots built with specialised external partners succeed roughly twice as often as internal builds, but that result comes from the implementation work, not the advice. Price every quote against that test: what is operating differently in my business when this engagement ends?

Why a paid audit beats a free discovery call

Most firms gate their thinking behind a free discovery call. The incentive is obvious: the call is a sales meeting, and the unpaid hour gets recovered by selling you the biggest thing they can.

A paid diagnostic flips that. When you pay S$999 for an audit, the deliverable is the product: a workflow map, the time leak priced in dollars, a ranked opportunity list, and the first agent specced build-ready. You own that whether or not you hire anyone to build it. The person doing the work is paid to be right, not to close.

For a serious buyer that’s the cheaper path, not the dearer one. A free call optimises for the seller’s pipeline; a paid audit optimises for your decision. And because we credit the S$999 against month one of Managed AI Agents, the diagnostic costs nothing if you go on to have us run the agents. The free Opportunity Call still exists, but its job is to tell you whether the Audit is worth booking, not to stand in for it.

Our prices, for the record

twentyeighteleven’s published pricing, offered as one transparent data point. Judge it against the benchmarks above yourself:

• AI Opportunity Call: free. 30 minutes on one workflow; you leave knowing whether it’s worth automating
• AI Opportunity Audit: S$999. A paid diagnostic: we map the workflow, price the time leak, rank the opportunities, and spec the first agent worth running. Credited to month one of Managed AI Agents if you start within 30 days
• Managed AI Agents: from S$2,500/month, core engagements around S$5,000/month. We build, run, monitor and improve the agents doing real work, with performance reporting and someone accountable. Month-to-month, no lock-in. This is the flagship
• Agent Build Sprint: S$7,000–18,000. Optional fixed-scope build, one working agent on your real data in 2–4 weeks, with a free working prototype before you pay the build fee
• AI for Your Team: S$1,500–5,500. Hands-on workshops on your team’s actual workflows
• Fractional AI Lead: S$5,000–10,000/month. A senior AI leader embedded part-time, three-month minimum

Against the benchmarks: our S$999 audit sits far under the Pertama S$15,000–35,000 SMB band, and our Build Sprint sits well under the S$75,000+ pilot tier. That’s deliberate, because we’re productised, we’re built for the SMB and the catch-up corporate rather than the enterprise, and our delivery is informed by running our own company on agents rather than by billable-hour economics. If your needs are enterprise-scale, the bigger firms’ bands exist for a reason and you should pay them.

The grants that change the maths

Singapore in 2026 has the strongest government support for AI adoption anywhere we operate. Three schemes matter most for SMEs:

Productivity Solutions Grant (PSG). Expanded in Budget 2026 to cover AI-enabled solutions with up to 50% co-funding, capped at S$30,000. If a consultant or solution is pre-approved under the scheme, you’re effectively paying fifty cents on the dollar.

SkillsFuture Enterprise Credit. Offsets up to 90% of out-of-pocket training costs. Unused credits under the current SFEC expire on 30 November 2026; from 1 December 2026 it is redesigned, with eligible employers getting a fresh S$10,000. Any training component of an engagement should be run through this before you pay list price for it.

Enterprise Innovation Scheme (EIS). Budget 2026 introduced a 400% tax deduction on qualifying AI investments, capped at S$50,000 per year of assessment for YA2027–28.

One caution we’d give even though it costs us money to say: these schemes have fixed windows: the EIS deduction covers YA2027–28, and the current SkillsFuture Enterprise Credit’s unused credits expire on 30 November 2026 (a redesigned SFEC follows from 1 December 2026). Grants are a genuine accelerant for work you were going to do anyway. They are a terrible reason to do work you weren’t. Don’t let a subsidy talk you into a S$30,000 engagement you didn’t need at S$15,000.

Do this next week

Before talking to any consultant (us included), spend an hour producing a one-page brief: the single workflow that hurts most, the hours or dollars it currently costs you each month, and what “fixed” would measurably look like.

Then get two or three quotes against that same brief and compare them to the benchmarks above. A consultant who can’t price against a clear one-page brief without a discovery call is telling you something about how the rest of the engagement will go. And check the PSG pre-approved solutions list before you sign anything. If a comparable option is on it, your effective price just halved.