What to Expect When You Hire an AI Consultant: A Singapore SME 90-Day Guide
Hiring an AI consultant as a Singapore SME? Here's the honest 90-day playbook — from process audit to working system — with grant tips and red flags.
Nick Tung
@nick_tung_ · 5 min read
Published:
Updated:
A good AI consultant delivers a working system in 90 days — not a report, not a roadmap, a system your team actually uses. The work breaks into three phases: audit and scoping (weeks 1–3), build and configure (weeks 4–8), and embed and measure (weeks 9–12). Here is what each phase looks like in practice for a Singapore SME.
What happens in the first three weeks?
Weeks 1–3 are about not touching any technology yet. A consultant who opens a laptop and starts demoing tools in the first meeting is selling, not consulting.
The right work in this phase:
- Process mapping. Walk through your actual workflows — how quotes get generated, how customer enquiries are handled, how reports get compiled. Not the official version. The real version.
- AI readiness check. Assess your data quality, existing tools, and team's digital comfort. You can get a rough picture before any conversation using the AI readiness checker.
- Priority list and scoped brief. By week 3, you should receive a written document listing the 2–3 highest-ROI automation opportunities, with a plain-English scope of work for each.
If a consultant skips the audit and moves straight to "let me show you what ChatGPT can do," stop. You will end up paying for a demo, not a solution.
PSG-funded projects under the PSG grant guide can cover up to 50% of qualifying vendor costs for pre-approved AI tools. The scoping phase is where you confirm whether your planned solution maps to an eligible SSIC code and pre-approved vendor — getting this wrong costs you the grant.
What gets built in weeks 4–8?
This is where the actual work happens. The deliverables should be concrete:
- A working prototype — not a mockup, not a slide. A system you can test with real data.
- An integrated tool — connected to your existing stack (your CRM, WhatsApp, ERP, whatever you actually use).
Expect iteration. The first version will not be perfect. A consultant who presents a finished product in week 6 without getting feedback from your team in week 5 is working from assumptions.
For EDG-funded projects, this build phase is where the EDG grant guide requirements around implementation evidence become relevant. Keep screenshots, system logs, and meeting notes. IMDA and ESG reviewers want to see proof of implementation, not just invoices.
Typical build-phase costs for a mid-complexity AI system (e.g. an automated customer enquiry handler or a document processing pipeline) run S$8,000–S$25,000 before grants. With PSG or EDG co-funding at 50%, your net cost is S$4,000–S$12,500. Use the Grant matcher tool to check which scheme fits your situation before you sign anything.
How does the system get embedded in weeks 9–12?
A system that your team does not use is not a system. Weeks 9–12 are about adoption, not features.
The outputs from this phase:
- SOP documents — written in plain language, not consultant jargon. Your team should be able to follow them without asking the consultant for help.
- Baseline metrics — time saved per task, error rate before and after, volume handled. You need a number to know whether the project worked.
- Handover and training — at minimum two live sessions with the people who will actually use the tool day-to-day.
MOM's productivity benchmarks and CTC grant requirements under the CTC grant guide often require documented before-and-after evidence of workforce impact. Capture this data from week 1, not week 11.
What are the red flags to watch for?
- No written scope before work begins. Verbal agreements lead to scope creep and disputes.
- No prototype by week 6. If you have not seen working software halfway through an 8-week build phase, ask why.
- Metrics are missing. If your consultant cannot tell you how you will measure success, they are not planning to be accountable for it.
- Grant paperwork is an afterthought. PSG and EDG have specific documentation requirements. A consultant who mentions grant claims in week 11 has put your funding at risk.
How do you hold an AI consultant accountable?
Set milestones with deliverables, not just dates. "Week 3: deliver priority list and scoped brief" is measurable. "Week 3: complete discovery" is not.
Ask for weekly written updates — even a short Telegram message is fine. If a consultant resists this, that tells you something.
Tie final payment to the handover of working software and SOP documentation, not to the end of the contract period. A good consultant will agree to this structure without hesitation.
If you are still at the research stage, the AI consultant services page covers how to evaluate consultants before you engage one.
Frequently Asked Questions
How much does an AI consultant cost for a Singapore SME?
Project fees typically run S$8,000–S$30,000 for a 90-day engagement, depending on complexity. With PSG or EDG co-funding at 50%, net costs are S$4,000–S$15,000. Retainer-style ongoing support averages S$1,500–S$3,000 per month. Always confirm grant eligibility before signing a contract.
Do I need to be tech-savvy to work with an AI consultant?
No. A good consultant translates between the technical and the operational. Your job is to know your business processes clearly — the consultant's job is to figure out where AI fits. If you are being asked to learn to code, something is wrong.
Which Singapore government grants cover AI consulting?
PSG (Productivity Solutions Grant) covers pre-approved AI software solutions at up to 50% co-funding. EDG (Enterprise Development Grant) covers more customised systems and strategy projects. CTC (Career Conversion Programme) applies when you are redeploying staff alongside the AI rollout. Check the Grant matcher tool to find your best fit.
How long before we see results?
For simple automations (e.g. email routing, document extraction), you can see time savings within 30 days of the tool going live. For more complex systems (e.g. AI-assisted customer service, reporting pipelines), 60–90 days post-launch is a realistic window for measurable productivity gains.
What if the system does not work after 90 days?
Define "work" in writing before the project starts — specific metrics, specific thresholds. If those are not met, a reputable consultant will either fix the system or negotiate a partial refund. If your contract has no performance clauses, add them before signing.
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