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Process redesign under the Enterprise Development Grant (EDG) supports projects that restructure how a business operates, not just projects that bolt new software onto an old workflow. For AI automation specifically, that means the strongest applications show a genuine before-and-after: what the process looked like manually, and how it works once AI automation is built into it. EDG can support up to 50% of qualifying costs for eligible SMEs on this basis, subject to approval before the project starts and reimbursement after completion.

This article explains what "process redesign" means in practice for an AI automation project, how to document it for an application, and where businesses commonly weaken their own case.

What does "process redesign" mean under EDG?

EDG's Innovation and Productivity pillar is about capability building, and process redesign is one of the clearest ways an AI project demonstrates that. Rather than "we bought a tool," process redesign asks: what did the workflow look like before, what specifically changes, and what capability does the business have afterwards that it did not have before?

For AI automation, this usually means identifying a process that is currently manual, slow, or error-prone, for example quotation generation, invoice processing, appointment scheduling, or lead follow-up, and showing how AI-driven automation restructures it. The emphasis is on the redesign of the process itself, with AI as the mechanism, not AI as the headline with no clear process change behind it.

What does a strong before-and-after look like?

A clear before-and-after typically includes:

• Before: how many steps the process takes today, who is involved, roughly how long it takes, and where the bottlenecks or errors happen
• After: what the process looks like once AI automation is in place, what is automated versus what still needs a human, and what capability or capacity the business gains
• The mechanism: specifically what the AI system does (extracts data, routes tasks, drafts responses, flags exceptions) rather than a vague description like "AI will handle it"

This is the same structure we use in client scoping work, and it maps closely to what we cover in business processes to automate with AI first and AI system integration: connecting your tools. A redesign that touches how systems talk to each other, not just a single point tool, tends to make a more compelling capability story. If you want help mapping this out for your own business, request a quote and we will walk through it with you.

Examples of process redesign scope for AI automation

Manual process today	Redesigned with AI automation
Staff manually re-key data from invoices into accounting software	AI extracts and validates invoice data, routes exceptions for human review
Sales team manually follows up leads from a spreadsheet	AI-driven workflow tracks lead stage, triggers follow-ups, flags stalled deals
Customer service answers repetitive queries by hand across channels	Conversational AI agent handles first-line queries, escalates complex cases
Quotations drafted manually from scratch each time	AI-assisted quotation generation from a standard template and live pricing data

Each of these examples pairs with a dedicated walkthrough on our site: automating invoice processing, automating sales follow-ups, and automating quotation generation all go into the operational detail of what a redesign actually looks like.

How does the application process work for a process redesign project?

1. Map the current process in enough detail to show where the friction is. This is groundwork, not paperwork, since it also determines whether AI is genuinely the right fix.
2. Define the target state: what changes, what stays manual, and what outcome you expect (time saved, fewer errors, faster turnaround).
3. Get a costed proposal from your implementation partner describing what will be built.
4. Submit the application via the GoBusiness Grants portal before any work begins or contracts are signed on the assumption of grant support.
5. Implement once approved, keeping documentation of the build and its outcomes.
6. Claim on a reimbursement basis with evidence of completed work and actual spend.

As with any EDG application, approval sits entirely with EnterpriseSG, and the business owner submits the application in their own name. We help with the scoping and technical proposal when engaged for the implementation itself, through our AI implementation roadmap and workflow automation and system integration services, but we do not submit applications on a client's behalf or influence EnterpriseSG's assessment.

Where process redesign applications go wrong

• Describing the tool, not the process change. "We are adding a chatbot" is weaker than "our customer enquiry process today takes X steps and Y people, and will change to this."
• No measurable baseline. Without a clear "before," it is hard to demonstrate a genuine capability upgrade.
• Underestimating change management. A redesign that ignores how staff will actually adapt to the new process tends to be weaker in execution, even if approved on paper.
• Starting the build before approval. The same rule applies here as any EDG project: apply first.

How do you actually map a process before redesigning it?

Process mapping does not need to be an elaborate exercise. For most SME workflows, a useful map can be built with a few practical steps:

1. Walk the process end to end with the people who actually do it. Not the manager's assumption of how it works, the actual sequence of steps a staff member follows.
2. Write down every handoff. Every time a task moves from one person, tool, or system to another is a point where delay or error tends to creep in.
3. Note where information gets re-entered. Manual re-keying of data between systems (for example, copying details from an email into a spreadsheet, then into accounting software) is one of the clearest automation opportunities.
4. Identify the exceptions. Most processes have a "normal path" and a set of edge cases. Knowing the difference matters because AI automation is usually strongest on the normal path and needs careful design (or a human handoff) for exceptions.

This mapping exercise serves two purposes: it produces the baseline your EDG application needs, and it also tells you and your implementation partner exactly what to build. Skipping it tends to produce vaguer proposals and, eventually, solutions that automate the wrong part of the process.

What does a redesigned process look like end to end?

Take invoice processing as a concrete example. Before redesign, a typical manual process might look like: an invoice arrives by email, a staff member downloads it, manually reads the vendor name and amount, keys it into accounting software, routes it for approval via a separate message, and files the PDF somewhere. Each of those steps is a point of delay and a point where a typo or missed step can cause an error.

After redesign with AI automation, the same process might look like: an invoice arrives by email, an AI system extracts the vendor, amount, and line items automatically, matches it against a purchase order if one exists, flags anything unusual (a mismatched amount, a new vendor) for human review, and routes the clean cases directly into the approval workflow. The human role shifts from manual data entry to reviewing exceptions and approving, which is a genuine capability change, not just a faster version of the same manual work.

This is the level of before-and-after detail that makes a process redesign application, and a process redesign project, actually work. Our invoice processing automation guide walks through this specific example in more depth.

Process redesign is also just good practice

Even setting the grant aside, mapping a process properly before automating it is the difference between automation that sticks and automation nobody uses. This is a theme we return to often, including in why most AI projects fail: the projects that struggle are usually the ones where the process wasn't understood before the technology was applied.

How much of the business should a single redesign project cover?

It is tempting to scope a process redesign project around an entire department, but narrower is usually stronger, both for the grant application and for actual delivery success. A tightly scoped redesign of one clear process, invoice processing, or lead follow-up, or appointment scheduling, is easier to baseline, easier to build, and easier to prove worked. A sprawling redesign that tries to touch every workflow in a department at once is harder to define clearly, harder to cost accurately, and harder to implement without disruption.

If you have multiple processes that would benefit from AI automation, a more effective approach is often to sequence them: complete one focused redesign, prove it works, and use that as the foundation (and the internal confidence) for the next one. This also tends to produce cleaner, more defensible documentation for each individual grant application, rather than one large, harder-to-untangle project.

Ready to see what AI can do for your business?

If you have a manual process that feels ripe for AI automation and want to understand whether it is a strong EDG process redesign candidate, request a quote and we will map it with you properly. WhatsApp us at +65 9184 9908, email glenn@freemansland.co, or get in touch via our contact page.

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