Automate the work. Elevate the jobs. 70% funded.
We find the workflows where AI pays off. Our tech team builds and deploys the solution, and we redesign the roles around it so your team runs it with confidence. Staff whose roles are redesigned can also be invited to apply for CCP salary support.
AI transformation is a work redesign project, not a software purchase
Most AI pilots stall. A widely cited 2025 MIT study found that 95% of the organisations it studied were getting no measurable return from generative AI, and it pointed to how the tools were fitted into daily work, not to the AI models themselves.
The technology is ready. What is usually missing is a clear workflow, clean data, an owner, and a team that has been trained and given a reason to use it. So we start with the work, not the tool, and we redesign the job alongside the workflow. That is exactly how WDG(JR+) is built: AI projects (Scope 3) are funded together with job redesign (Scope 1).
Start with the workflow.
We map where the hours go before choosing any tool.
People stay in charge.
AI drafts, checks and routes. Your people approve anything that touches a customer, money or compliance.
Measure from day one.
We set a baseline for hours, turnaround time and error rate, so you can see the return.
What AI can actually do in your business
Almost every use case is built from a handful of capabilities. Once you know them, it becomes easier to spot opportunities in your own workflows.
Document AI
Reads invoices, purchase orders, delivery orders, contracts and forms, and turns them into clean data in your systems.
Example: supplier invoices are matched to POs and delivery orders automatically, and only mismatches go to a person.
Knowledge assistants
Answers questions from your own SOPs, product specs, past proposals and policies, with a link to the source. The technical name is retrieval-augmented generation (RAG).
Example: a new sales executive asks “what did we quote this customer last year?” and gets the answer straight away.
AI agents
Carries out multi-step tasks across your tools, then pauses for a person to approve.
Example: an RFQ email arrives, and the agent checks stock and pricing, drafts the quotation, and updates the CRM, leaving the quote waiting for approval.
Conversational and voice AI
Handles enquiries on WhatsApp, web chat, email or phone around the clock, and hands complex cases to your team.
Example: after-hours bookings and order status questions answered instantly.
Generative content
Writes first drafts of proposals, tender responses, reports, product descriptions, job ads and marketing content in your brand voice.
Forecasting and optimisation
Predicts demand, cash flow and manpower needs, and builds rosters, routes and schedules.
Computer vision
Inspects products for defects, reads site photos for progress and safety, and counts stock from images.
Ask-your-data analytics
Managers ask questions in plain English, such as “which customers ordered less this quarter?”, and get answers and charts from their own data.
What this looks like in your industry
Wholesale and distribution
- Quotations from RFQs: AI reads emailed or WhatsApp enquiries, pulls pricing and stock, and drafts the quote for approval.
- Order entry: customer POs in PDF, Excel or chat messages become sales orders automatically.
- Demand forecasting: suggested purchase orders based on sales history and supplier lead times.
Team impact: Sales coordinators move from typing quotes to managing key accounts and margins.
Logistics and freight
- Shipping documents: bills of lading, commercial invoices and packing lists are extracted into your system and checked for discrepancies.
- Shipment updates: customers get proactive status updates, and staff handle only the exceptions.
- Delivery scheduling and route planning.
Team impact: Operations executives move from chasing updates and re-keying documents to exception management and customer care.
Construction and built environment
- Tender analysis: AI reads tender documents, summarises scope and risks, and drafts compliance matrices.
- Site reporting: daily progress and safety reports drafted from site photos and voice notes.
- Progress claims and variation orders prepared from project records.
Team impact: Project coordinators spend less time on paperwork and more on site coordination and cost control.
Manufacturing and precision engineering
- Visual inspection: computer vision flags defects on the line.
- Predictive maintenance: machine data is used to schedule maintenance before breakdowns happen.
- Estimating: quotations drafted from drawings and past jobs.
- Production scheduling that adapts to orders and capacity.
Team impact: Technicians move from manual inspection to quality analysis and process improvement.
Food and beverage
- Demand forecasting for prep and purchasing, to cut waste.
- Rostering based on forecast covers.
- An assistant handles reservations, enquiries and review replies.
Team impact: Outlet managers spend less time on spreadsheets and more on service and training.
Retail and e-commerce
- Product listings, descriptions and translations generated at scale.
- A customer service assistant for orders, returns and sizing.
- Sales and inventory insights by store or channel.
Team impact: E-commerce executives move from data entry to merchandising and campaign planning.
Professional services (accounting, legal, consulting, HR)
- Document review and summarisation against your own checklist.
- Knowledge search across past engagements and templates.
- First drafts of reports, letters and proposals.
Team impact: Associates spend less time on first drafts and more on judgement and client advice.
Facilities management, cleaning and security
- Work orders: requests from email, chat and QR codes are classified, prioritised and dispatched.
- Inspection and incident reports drafted from photos.
- Manpower deployment planned against site demand.
Team impact: Supervisors move from manual scheduling to service quality and client reporting.
Financial services and fund management
- KYC and onboarding document checks.
- First drafts of investment memos, factsheets and client reports.
- Regulatory reporting preparation and policy Q&A.
Team impact: Analysts and operations staff move from compiling information to reviewing it and advising.
Technology and IT services
- AI-assisted software development, code review and testing.
- A helpdesk assistant that resolves first-line tickets and routes the rest.
- Statements of work and proposals drafted from past projects.
Team impact: Engineers spend more time on design and delivery, and less on repetitive code and tickets.
Events, marketing and media
- Proposals and pitch decks drafted from client briefs and past events.
- Vendor and attendee coordination by email and chat.
- Post-event reports compiled from registration and survey data.
Team impact: Event executives spend more time on client experience and less on admin.
Healthcare, clinics and wellness
- An assistant handles appointment booking, reminders and FAQs.
- Visit notes drafted from voice, for the clinician to review.
- Claims and billing preparation.
Team impact: Front desk staff focus on patient experience, and clinicians spend less time typing.
Education and training
- Course materials, assessments and lesson plans drafted from your syllabus.
- A learner support assistant for course and admin questions.
- Enrolment, attendance and funding claims admin automated.
Team impact: Trainers spend more time teaching and coaching.
Something else? Customise your own workflows
These are just examples. In a free discovery call, we map your workflows and scope an AI or automation solution customised to your business.
Browse 47 use cases by function and industry → · See our technology and IT case studies →
Every AI project redesigns jobs. We plan for it.
AI rarely replaces a whole role. It takes over tasks. Singapore’s Jobs Transformation Maps, such as the one on generative AI in financial services, describe two patterns. In some roles, people ‘do more’ of their existing work in the same time. In others, they ‘do more and do new’, taking on new tasks once routine work moves to AI.
We map every affected role against the relevant Jobs Transformation Map, redesign the job scope, and train your people for it. Each AI workflow also gets a named owner inside your team, who checks output quality, keeps the knowledge base current and handles escalations. That redesign is funded under WDG(JR+) Scope 1, and staff who move into the redesigned roles can then be invited to apply for CCP salary support.
Illustrative. Actual redesign depends on your workflows.
| Role | Before | After AI |
|---|---|---|
| Accounts executive | Keys in invoices and matches payments by hand | Reviews exceptions, manages supplier terms, prepares cash flow insights |
| Customer service officer | Answers the same questions all day | Handles complex cases and complaints, supervises and improves the AI assistant |
| Sales coordinator | Builds every quotation manually | Approves AI-drafted quotes, focuses on pricing, margins and key accounts |
| HR or admin executive | Builds rosters and answers policy questions | Plans manpower, runs onboarding and engagement, owns HR data |
| Operations executive | Chases updates and re-keys documents | Manages exceptions, vendor performance and process improvement |
| Marketing executive | Produces every post and asset from scratch | Plans campaigns, edits AI drafts, tracks what converts |
How we run an AI transformation
Discover. A free discovery call, then a walk-through of your workflows: where the hours go, volumes, pain points and the systems you use.
Prioritise. We score each candidate workflow on value, feasibility, data readiness and risk, then pick the first one to three.
Design. We map the future workflow, decide where people approve, and set success measures against a baseline.
Build and integrate. Our tech team builds the solution, connects it to the tools you already use (email, WhatsApp, accounting software, CRM, ERP, shared drives), and tests it on your real data.
Redesign and train. We redesign the job scopes and SOPs under Scope 1. Hands-on team training is included under Scope 3.
Go live, measure, scale. We track results against the baseline and fine-tune, then move on to the next workflow.
The WDG(JR+) application is submitted after scoping and before anything is signed or paid.
Safe, compliant and in your control
- Human in the loop. AI drafts and recommends. Your people approve anything involving customers, money or compliance.
- Your data stays yours. Each workflow gets access only to the data it needs. Tools are configured so your data is not used to train public AI models, wherever the platform allows it.
- PDPA-aware design. Personal data is handled in line with the PDPA and the PDPC’s Advisory Guidelines on Use of Personal Data in AI Recommendation and Decision Systems.
- Built on Singapore’s AI governance principles. Our approach follows IMDA’s Model AI Governance Framework, including the Model AI Governance Framework for Agentic AI launched in January 2026. That means bounded permissions, audit trails and clear human accountability.
- Data readiness first. We check the quality of your data before building, because messy data is one of the most common reasons AI pilots stall.
How the funding adds up.
- Funded under WDG(JR+) Scope 3, Workforce Tech Solutions: 70% for SMEs and 50% for non-SMEs, capped at $90,000. It is always paired with Scope 1 job redesign.
- AI and automation projects that change how work gets done can qualify, not only HR tech.
- Our tech team designs, builds and deploys the solution and trains your team to run it. Training is included.
- BizGrants handles the Scope 1 job redesign and the grant application end to end.
How it adds up · example: 3 staff, SME
| Item | Cost | You pay |
|---|---|---|
| AI project, incl. team training | $60,000 | $18,000 |
| Job redesign, 3 roles | $30,000 | $900 after SFEC |
| Total you pay | $18,900 | |
| Potential CCP salary support | $57,600 |
If approved, the salary support more than covers your share.
Assumes an AI project costing $60,000 and a job redesign of 3 roles at $10,000 each, both funded at the SME rate of 70% (non-SMEs 50%); sufficient SFEC balance to offset 90% of the job redesign nett fee; and 3 redesigned staff, two aged 40 and above at the $7,500 monthly cap and one under 40 earning $6,000, each supported for 3 months. Salary support is paid under the Career Conversion Programme: 70% of monthly salary, or 90% for staff aged 40 and above or long-term unemployed, subject to monthly caps, for Singapore Citizens or PRs earning at least the pathway minimum (commonly $3,500 a month) with at least 12 months’ service. All figures are illustrative and all funding is subject to eligibility and approval.
AI and job redesign work we have done.
AI transformation questions employers ask.
What AI projects qualify?
AI and automation projects that change how work gets done, not only HR tech. We scope it with you in the discovery call, and all funding is subject to eligibility and approval.
What is agentic AI?
AI that carries out a sequence of steps across your tools instead of just answering a question. For example, it can read an enquiry, check stock, draft a quote and update your CRM, with a person approving the final step.
Who builds it?
Our tech team builds and deploys it, and trains your team to run it.
Do I also need a job redesign?
Yes. Scope 3 has to be paired with Scope 1 or Scope 2. We pair it with Scope 1 job redesign, and staff who move into the redesigned roles can then be invited to apply for CCP salary support.
Will AI replace my staff?
In most SME workflows, AI takes over tasks, not whole jobs. We redesign roles so your people move to higher-value work, and staff in the redesigned roles can be invited to apply for CCP salary support.
Do we need clean data or an IT team first?
You don’t need an IT team. We check data readiness during discovery, and if your data needs tidying, that becomes part of the scope.
Will it work with our existing software?
Usually, yes. Solutions connect to the tools you already use, such as email, WhatsApp, accounting software, your CRM and shared drives.
Is our data safe?
Your people approve anything involving customers, money or compliance, and each workflow only gets access to the data it needs. We design in line with the PDPA and Singapore’s AI governance frameworks, and configure tools so your data is not used to train public AI models wherever the platform allows it.
What will it cost me?
Your 30% share. See the worked example on this page.
How is this different from buying an off-the-shelf AI tool?
Off-the-shelf tools are good for general productivity. WDG(JR+) Scope 3 funds a solution customised to your workflows, with team training included, paired with job redesign.
Can AI spending also qualify for tax benefits?
Budget 2026 added qualifying AI expenditure to the Enterprise Innovation Scheme: a 400% tax deduction on up to $50,000 of qualifying AI spend per Year of Assessment, for YA 2027 and YA 2028. Spending already funded by a government grant, such as the share covered by WDG(JR+), does not qualify, because the same cost cannot be funded twice. Check eligibility with your tax adviser.
AI works best with job redesign and CCP.
WDG(JR+) job redesign
Redesign jobs with 70% funding. Redesigned staff can then be invited to apply for CCP salary support.
AI use case library
Practical AI use cases by function and industry, with the roles each one redesigns.
Have a workflow that eats your team’s week?
In a free discovery call we map it, score it, and tell you whether AI and the funding fit.