Decision guide

Build the business behind the AI.

A decision library for CyberG7: how the estate, Jarvis and WhatsApp become useful SME systems, repeatable delivery and defensible funding evidence. Refined edition · 2 October 2026; grant review 1 October; receptionist documentation update 2 October.

The operating loop

01
Attract the right ownerA specific bottleneck and an honest demonstration
02
Move a real transactionAccepted handover, persistent records, approvals
03
Prove the benefitReal costs, useful capacity, contribution and adoption
04
Retain the evidenceAwarded scope, delivery, invoices and full payment

Recommended decision

Prove the operating chain, then expand the scope.

The recommended sequence

Start with one dependable answers-and-request product for appointment/service businesses. In parallel, qualify one operations-heavy ERP opportunity. Use approved partners when funding is essential now, and build your own repeatable client evidence over time.

Iteration	Change in thinking	Business consequence
First pass	Funding map and illustrative proposals	Useful orientation; some budgets fail recurring economics.
This refinement	Transaction progression, operator acceptance and benefit realisation	A fast answer now has a measurable path to a business result.
Next client iteration	Replace hypotheses with a baseline, real systems and quotations	Choose a bounded package, partner or transformation with an explicit go/no-go.

Choose a commercial path

Path	Best situation	What must be true
Receptionist reference cohort	Repeat questions and enough recurring workload	A standard package can deliver useful requests profitably.
Approved-package partner	Client requires a verified grant route immediately	An actual approved principal and permitted delivery arrangement exist.
Operations-first ERP	Quote, work and invoice data are repeatedly reconstructed	A genuine three-function ERP is necessary; assess approved options first.
Secure casework transformation	Multiple systems block caseworker throughput	Integration and realised benefit justify the scope; otherwise start smaller.

Explore the explainers

The funding rules that shape the design

Route	Design requirement	Planning ceiling / condition
Customer-engagement chatbot	Exact pre-approved package	SME: up to 50%; cost ceiling S$15,000, grant ceiling S$7,500.
Marketing-content solution	Separate exact pre-approved package	SME: up to 50%; cost ceiling S$5,000, grant ceiling S$2,500.
Integrated ERP	Single ERP with at least three core functions	SME: up to 50%; cost ceiling S$60,000, grant ceiling S$30,000. Other vendor only when suitable approved options lack required functions.
Large-scale transformation	Substantive operating change across systems	SME support up to 50%; scope and costs assessed. Isolated AI tasks do not establish eligibility.
EIS AI adoption	Qualifying AI cost allocation	400% first S$50,000 for YA 2027/2028; no AI cash conversion. Net subsidy basis; actual tax usability matters.

Source: GenAI customer engagement ↗ · GenAI marketing content ↗ · Integrated ERP activity ↗ · Large-scale digital transformation ↗ · IRAS EIS ↗

Source: EDGE FAQ ↗ · BCA Built Environment PSG ↗

Read this as a decision model

The real business names and public services are sourced. Their actual bottlenecks, applicant eligibility, proposed budgets and benefits are unverified. Current readiness notes are dated source observations, not a fresh production audit of the whole estate. No new EDGE approval, partnership or CyberG7 pre-approved package is asserted.

Planning prices are revisions for economic discussion, not live prices, binding quotations or vendor licence lists. Grant approval, delivery acceptance, tax eligibility and commercial success are four separate decisions. This edition supersedes the earlier broad budgets where explicitly stated.