AI & Robotics on the Factory Floor
WORKSHOPS · 02 · HALF-DAY COURSE
WORKSHOPS · 02 · HALF-DAY COURSE
AI & Robotics on the Factory Floor
A 3.5-hour session for operations and plant leaders assessing a real shop-floor or warehouse process for AI or robotics feasibility. Participants leave with a scoped pilot brief, a feasibility checklist, and an Enterprise Development Grant readiness note for their own process.
You leave with
- Feasibility checklist
- Draft pilot scope
- EDG readiness note
- 90-day roadmap
Duration
3.5 hours, single session
Format
In-person, on site or at Praxora Lab
Cohort size
Max 20 participants
Requires
One real shop-floor or warehouse process to assess
Grant eligibility
EDG readiness note for Singapore-registered organisations
Facilitator
26 years, IoT, ERP, robotics and vision-QC delivery
Delivered for
Government agencies, pharmaceutical, marine, logistics
CPD / CPE hours
4 CPD hours
Certificate on completion
Certificate of Completion, Praxora Lab
Overview
Automation on the shop floor increasingly pays for labour redeployment, not headcount cuts
Manufacturing and warehouse operations are automating faster than most feasibility assessments keep pace with. Zebra Technologies' 2023 Warehousing Vision Study, interviewing more than 1,400 decision-makers and associates, found sixty-nine percent had already automated workflows or planned to within the year, yet seventy-six percent of decision-makers still say their facility needs better inventory tooling to get basic accuracy right. On the inspection side, published machine-vision research reports detection accuracy above ninety-eight percent for defects with a stable visual signature, gears, dimensional deviation, but a broader review across automotive, aerospace and general manufacturing found seventy-seven percent of vision-inspection projects stall at prototype or pilot scale rather than reaching production. The technology is rarely the constraint; the feasibility judgment made before it is commissioned usually is.
Veronica Loh built this course's feasibility checklist from the systems she has personally commissioned, not a generic automation framework: a pharmaceutical vision-QC line, a robotic carton-handling system, an RFID asset-tracking kiosk. The evidence from her own sector bears out what the checklist tests for: Panasonic's Singapore operation raised its local workforce's median salary by 35 percent over three years of EDB-supported cobotisation, retraining staff into supervision and exception-handling roles rather than displacing them, the same redeployment pattern Universal Robots documents at its Multi-Wing site in the Czech Republic. Participants leave with a feasibility checklist and an Enterprise Development Grant readiness note for one real process, not a vendor's pilot proposal.
Sources
- Zebra Technologies — 2023 Warehousing Vision Study ›
- Processes (MDPI) — A Machine Vision System for Gear Defect Detection ›
- Sensors (MDPI) — Machine Learning-Powered Vision for Robotic Inspection in Manufacturing: A Review ›
- Human Resources Online — Panasonic Singapore's 35% Salary Rise Through Cobotisation ›
- Universal Robots — Multi-Wing Case Story ›
- Enterprise Singapore — Enterprise Development Grant ›
Why Praxora
Why this, not a platform
A pilot brief scoped to your own shop floor, not a robotics theory session.
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Practitioner-led, not faculty-assigned
Veronica Loh, Co-Founder & Head of Operations at Praxora Lab, teaches this course because she personally commissioned every system in it.
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A named framework, not a licensed template
Built on the same feasibility checklist she runs before recommending a dollar be spent, not a generic robotics primer.
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One real, produced output — not a case study
Every session ends with a scoped pilot brief and an EDG readiness note for the process you bring in.
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A small, capped cohort
Max 20 participants, so the room works from your own shop floor, not a case study.
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Built on institutions that already trust it
Delivered for government agencies, pharmaceutical, marine and logistics operators, including Enterprise Development Grant-funded pilots.
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One focused session — not an 18-week course
3.5 hours, one session. No cohort waitlist, no months of drip-fed modules.
Key takeaways
What participants leave with
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A feasibility checklist scoring whether the shop-floor or warehouse process in question is actually ready for AI or robotics.
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A draft pilot scope for one real process: vision quality control, RFID or IoT tracking, or robotic handling.
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An Enterprise Development Grant readiness note stating what grant-funded delivery actually requires.
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A 90-day pilot roadmap, ready for the next budget conversation.
See a full sample of these documents › Filled out for a fictional company, so you can judge the format before enquiring.
Objective
Evaluate a shop-floor or warehouse process for AI or robotics feasibility, and scope a bounded pilot, vision quality control, RFID or IoT tracking, or robotic handling, against an Enterprise Development Grant-eligible business case.
Participants bring the process they want assessed. The session works through Veronica Loh's own delivered systems, the pharmaceutical vision QC line, the Raymang Eggs robotics line, the RFID government asset system, as worked examples before applying the same checklist to the room's own process.
Worked examples
Systems Veronica Loh has actually delivered
The case walkthrough segment works through these before applying the same checklist to the room's own process.
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Machine-learning quality control for pill packs
A machine-learning vision system trained on roughly 6,000 samples to inspect pill packs for foreign objects and double or empty pouches, with automatic barcode-based routing of failures and a full traceability log of every pack and rejected pouch.
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RFID asset and inventory management, with self-service kiosk
An RFID-based asset and inventory system replacing manual paperwork and physical searches, with a self-service kiosk that maps a user's body or item dimensions to the correct rack or shelving location and a real-time dashboard of stock on hold.
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Robotic carton removal line for egg distribution
An Enterprise Development Grant-funded robotics line that replaced manual carton unboxing for imported egg shipments end to end, lifting operational efficiency by over 1,000 percent and cutting the process's dependence on manual labour.
Why this course
Every system in this course's case walkthrough, the vision line that checks pill packs for a foreign object, the robotic arms that replaced manual carton unboxing, the RFID kiosk that stopped a warehouse team from walking a floor with a clipboard, is one I have personally stood beside while it was being commissioned. I did not learn AI and robotics from a textbook. I learned it from twenty-six years of being the person still on site when a pilot either worked or didn't, and from watching what actually changes for a warehouse or a shop floor when it does.
What I want participants to leave with is not enthusiasm for automation. It is the same feasibility discipline I apply myself before I recommend a single dollar be spent: does this process have a stable enough pattern for a machine to learn, and is the failure mode something we can actually detect. I have seen too many well-funded pilots chase the wrong process because nobody asked that question early enough. This course is my attempt to hand that question to someone else's team before they spend their own budget finding out the hard way.
Syllabus
Five segments across 3.5 hours
Left with a scoped pilot brief for one real process, a feasibility checklist, and an EDG-grant readiness note.
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20 min
Framing
The process in the room, and what "AI-ready" looks like on a shop floor.
- The real shop-floor or warehouse process brought into the room
- What "AI-ready" actually means before a vendor conversation starts
- Where volume, defect rate and process ownership already point
OutputProcess readiness snapshot
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55 min
Case walkthrough
Vision QC, robotics and IoT deployments, and why each paid back.
- A pharmaceutical vision-QC line that catches foreign objects in pill packs
- A robotic carton-removal line built for an egg distribution operation
- An RFID asset and inventory system, with self-service kiosk
- Why each system paid back, and the feasibility checklist applied to the room's own process
OutputFeasibility checklist applied to own process
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15 min
Break
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45 min
Scoping a bounded pilot
Data available, failure modes, integration points.
- What data already exists to train or validate against
- Failure modes, and whether they're actually detectable
- Integration points with existing line or warehouse systems
OutputDraft pilot scope
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45 min
The EDG angle
What grant-funded delivery actually requires.
- Enterprise Development Grant eligibility, in plain terms
- What grant-funded delivery actually requires of the pilot scope
- Where a grant conversation strengthens, or slows, the business case
OutputEDG readiness note
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30 min
Roadmap and close
- The feasibility checklist, pilot scope and EDG note brought into one plan
- A 90-day pilot roadmap, ready for the next budget conversation
Output90-day pilot roadmap
Who should attend
Process ownership, not a technical title
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Operations & plant leaders
Operations, plant and warehouse leaders who own a real process day to day.
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SME & mid-market owners
SME and mid-market business owners assessing a first AI or robotics pilot.
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Quality & compliance leads
Quality, compliance and logistics leads scoping a bounded automation project.
Facilitator
Veronica Loh
Co-Founder & Head, Operations · Managing Director & Chief Sustainability Officer
Twenty-six years turning multidisciplinary engineering delivery into measurable cost and sustainability outcomes.
Read the full profile ›Common questions
Before you enquire
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Do we need to bring technical staff, or is this for operations leaders?
Operations, plant and warehouse leaders are the intended audience, not engineers. The session works through what a process needs to be AI or robotics-ready in plain terms: data available, failure modes, integration points, not code.
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What should we prepare in advance?
Bring the process you want assessed: a rough sense of volume, current defect or error rate if you track one, and who owns the process day to day. No documentation prep required.
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Is this only useful if we already qualify for an EDG grant?
No. The EDG segment is one block of four, useful if your organisation is Singapore-registered and considering grant-funded delivery, but the feasibility checklist and pilot scoping apply regardless of funding route.
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How does this relate to Governance Meets Delivery, the integrated programme?
This course is one of the two pillars in Governance Meets Delivery: AI for Business Owners, a one-day programme run with Terence Kok that checks a governance checklist against the pilot brief this course produces. Business owners who want both in one day should look at the integrated programme instead.
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Is there a discount for sending more than one person, or booking more than one course?
Yes. Organisations sending leadership through more than one course, or through a course and its integrated programme, get a combined rate rather than separate bookings. See the corporate and bulk enrolment section on the workshops page, or raise it directly in your enquiry.
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What if I need to cancel, defer or a session is rescheduled?
Full terms for individual, open-cohort and corporate in-house bookings, including deferral windows and what happens if Praxora Lab cancels a session, are set out in the refund and cancellation policy.
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What happens after the session ends?
Every cohort joins a standing network of practitioners and business leaders: ongoing networking events, fireside chats, and case study interviews with business owners and C-suite leaders on AI projects they've recently completed. The named facilitator also stays the point of contact for questions on applying what was covered.
Industry engagement
A network that keeps working after the workshop ends
Every cohort at Praxora Lab joins a standing network of practitioners and business leaders, not a one-off attendee list. Alumni are invited back for ongoing networking events, fireside chats with industry experts, and case study interviews with business owners and C-suite leaders on AI projects they have recently completed, a running view of what adoption actually looks like once the workshop room empties.
The learning experience
A small cohort, led by the practitioner who built the course
Every session is capped at a small cohort and taught in person by the practitioner who built it, not a teaching assistant working from someone else's slides. Participants work against one real team's own workflow rather than a generic case study, and leave with a draft they can put to use immediately.
A named facilitator, not a support desk, stays the point of contact after the session for questions on applying what was covered.
Investment
Open cohort or corporate in-house
Open cohort
On enquiry
Per participant, max 20 participants
- Certificate on completion: Certificate of Completion, Praxora Lab
- Process readiness snapshot
- Feasibility checklist applied to your process
- Draft pilot scope
- EDG readiness note
- 90-day pilot roadmap
Corporate in-house
On enquiry
Fixed programme fee, max 20 participants
- Everything in the open cohort
- Dedicated session for one organisation, on your own process
- Fixed fee, not priced per head
- Group rates with Governance Meets Delivery
Full cancellation, deferral and refund terms are set out in the refund and cancellation policy.
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