Singapore AI Transformation

Your team should be doing less admin and more work that matters.

Fetch embeds a transformation pod into your business. We map your workflows, deploy AI that your team actually uses, and measure the results. No strategy decks. No handover manuals. Just working operations.

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5-minute diagnostic, no sign-up. Or see the 30-Day Sprint.

Illustrative replay of the freight-forwarding Sprint (scores simplified; outcomes from the case study). Every engagement produces this matrix.

30 days
to first deployed AI workflow
62%
less manual task time, on average
94%
team adoption at 60 days
Operations teams in
Logistics · Professional services · Financial services · Healthcare · Distribution, retail & F&B · Manufacturing & industrial · Public sector, education & non-profit. Industries →
Engineering delivered for
A national defence organisation, a national broadcaster, regulated financial issuers. Capabilities →
Deploys into the tools you already pay for
ChatGPT Enterprise · Microsoft Copilot · Claude · Gemini · Make · n8n · Zapier · Power Automate · Microsoft 365 · Google Workspace · HubSpot · Xero · WhatsApp Business · your ERP, WMS or PMS via API

Averages across Fetch Sprint engagements, measured 60 days after deployment. Individual results vary — the case studies below show each one. Client names are withheld and testimonial names changed under NDA; references on request.

The Problem

Most AI projects fail before they start.

The problem isn't access to AI tools. ChatGPT is free. Copilot is built into your Office subscription. The problem is that nobody has redesigned the workflows those tools are supposed to improve.

Consultants deliver a roadmap and leave. Vendors deliver software and leave. Your team gets a login and a manual, and within three months the tool is abandoned.

Fetch stays until the AI is embedded in how your team actually works — and until you can measure the difference.

One workflow, redesigned
Daily shipment status updates
  1. Carrier email arrives
  2. Log in to 3 carrier portals
  3. Copy statuses to spreadsheet error-prone
  4. Chase vendor for ETA waits 2–4 hrs
  5. Draft customer update
  6. Manager reviews
  7. Send, then repeat tomorrow
Steps
7
Time per manager / day
3.2 hrs
Handoffs
4
How the three models compare
Consultants
  • Deliver a strategy deck
  • Leave after the engagement
  • No accountability for adoption
Software vendors
  • Sell you a licence
  • Hand over documentation
  • Success = you renewing
Fetch
  • Map workflows, then redesign them
  • Stay until the AI is embedded
  • Measure adoption and time savings
How a Sprint runs

Thirty days, one real engagement.

Freight forwarder · 45 staff · Singapore →
  1. Week 1

    Map how work actually happens

    The pod sits with your team and documents every step, handoff and workaround — the process in practice, not on paper.

    Workflow map
    23 manual touchpoints
    3.2 hrs / manager / day
  2. Week 2

    Score every workflow, don't guess

    Each touchpoint goes on an impact × feasibility matrix. Leadership picks from evidence, not from a vendor's demo.

    Opportunity matrix
    2 workflows chosen
    status reporting · ETA follow-ups
  3. Weeks 3–4

    Deploy into the tools in use, train the team

    AI is wired into the ChatGPT Enterprise licence they already paid for. Four training sessions run alongside, so adoption starts on day one.

    Deployed
    2 workflows live
    4 sessions · playbooks per role
  4. Day 30

    Measure, then hand over

    Baseline versus now — hours recovered, adoption, cost eliminated — and a 6–12 month roadmap for what comes next.

    ROI summary
    14 hrs / manager / wk
    91% adoption · S$280K a year
14 hrs/wk
recovered per operations manager
S$280K
annualised admin cost eliminated
91%
team adoption at 30 days
Every Sprint hands over
  • Workflow Assessment Report
  • AI Opportunity Matrix
  • Deployed AI Workflows
  • Trained Team
  • AI Adoption Roadmap
  • ROI Impact Summary
See the full Sprint
Results

What the numbers look like in practice

Anonymised. Names changed; numbers as measured post-deployment. References available on request.

Logistics & Fleet Management · 120 vehicles, 18 operations staff
70%
reduction in daily route planning time

A commercial fleet operator cut route planning time by 70% and reduced fuel costs by S$190K annually.

S$190K
annual fuel cost reduction from optimised routes
44 hrs/wk
dispatcher time recovered (of 63 baseline)
4 weeks
to full deployment across all contracts
All case studies and engineering work

“We'd been talking about AI for 18 months. Fetch came in, mapped our operations in a week, and had two workflows running in production by week four. The team actually uses them.”

David Lim, COO · Mid-market logistics company, Singapore · name changed

“Our consultants were spending 40% of their time on admin. After the sprint, that's down to about 15%. The ROI calculation was straightforward — we saw payback in the first month.”

Priya Menon, Managing Director · Boutique professional services firm, Singapore · name changed

“What I appreciated was that they pushed back when we wanted to automate the wrong things. They redesigned the process first. That's the reason it worked.”

Marcus Tan, Head of Operations · Regional financial services firm, Singapore · name changed
Ways to engage

Start small. Scale when it works. Build when it needs building.

Three entry points, one team. Every engagement is fixed-scope with measured outcomes. Sprints and pods suit Singapore teams of roughly 15–500 staff with real operational workflows to redesign. Engineering builds serve institutions of any size — defence, media, regulated finance — through the Custom AI Product Build track.

Start

30-Day AI Adoption Sprint

Map your operations, deploy 1–2 redesigned workflows, train the team, measure. Fixed scope, fixed price.

See the Sprint
Scale

Transformation pods

An embedded execution team for one department, or the whole organisation over 6–18 months.

All solutions
Build

Custom AI product build

When the redesigned workflow needs real software — agents, integrations, data platforms — the same team builds it.

Engineering capabilities

Also: workflow redesign, AI implementation support, team upskilling and department rollouts — all seven solutions · industries we work in · Singapore AI grants.

Get started

What would this look like for your team?

Two sliders, real assumptions — then a 45-minute strategy call to check the numbers against your workflows. No pitch deck. No obligation.

Your numbers

What would a Sprint recover for you?

Assumes the 62% average reduction in manual task time measured across Fetch engagements, 48 working weeks and a blended cost of S$38/hour. An estimate, not a quote.

Hours recovered per year
2,857
Equivalent cost
S$109K
Full-time equivalents
1.5
See how a Sprint gets there Discuss my numbers
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