Validate your AI idea in 30 days, for SGD 2,500.
Ignite is the lowest-risk way to test whether AI fits your business. Four-week assessment, working prototype, feasibility report. Co-funded up to 50%.
The fastest path from idea to evidence.
Most AI initiatives stall because the first commitment is too big. Ignite is built for founders, SMB owners, and innovation leads who need a working answer, not a slide deck, before asking for a real budget. One use case. Thirty days. A prototype on your data and a written go/no-go.
Self-serve AI. No code. No data leakage.
Four weeks. One focused use case. A working prototype on your real data and a feasibility report your board can act on.
SMBs exploring their first use case
Innovation teams needing validation before bigger investment
Mid-market leaders pressure-testing a vendor pitch
What's included
Four weeks. Three deliverables.
A predictable cadence built around the FORGE ASSESS phase, so by Friday of week four, you're holding a decision, not a TBD.
DISCOVER
Working sessions with your team. Map the problem, the data sources, the success criteria, and the constraints we have to respect.
PROTOTYPE
We build the thing. Real data, real tools, no toy examples. You see working software within ten working days.
EVALUATE
Pressure-test against your accuracy, cost, and governance bars. Honest numbers, including where the system fails.
DECIDE
Written feasibility report with a clear recommendation: build, pivot, or stop. If we say stop, we explain why.
Where Ignite fits best
Ignite is sized for one focused use case at a time. These are the patterns clients have validated through Ignite in the last twelve months.
Internal knowledge assistant
Spin up a private chatbot on your SOPs, contracts, or playbooks, and prove the answer-quality bar.
Document intelligence prototype
Extract structured fields from invoices, claims, or filings. Measure accuracy on real samples before scaling.
Customer-service triage POC
Validate auto-classification or first-response drafting against your historical ticket queue.
Workflow automation pilot
Use Make.com or n8n to wire AI into one workflow end-to-end and measure time saved.
RAG feasibility study
Confirm whether retrieval-augmented generation will work on your corpus, and at what cost.
AI vendor due diligence
Build the same thing a vendor is pitching, on your data, so you can compare like with like.
Ignite vs. the typical “AI pilot.”
Why a fixed-fee, fixed-scope sprint produces a decision, and a vendor-led pilot usually doesn't.
Typical AI pilot
- Open-ended T&M billing
- Scope expands every fortnight
- Built on synthetic or sample data
- Ends with a polished demo and a follow-on quote
- No outcome the consultant won't sell into
- No co-funding paperwork handled for you
Ignite
- Fixed fee: SGD 2,500/month
- Fixed scope: one use case, 30 days
- Built on your real data from week one
- Ends with a written go/no-go recommendation
- Honest exit, “don't build this” is a valid output
- Up to 50% co-funded by IMDA / regional schemes
We came into Ignite expecting another AI deck. Four weeks later we had a working prototype on our claims data and a one-page memo telling us exactly which two use cases to back, and which one to bin. That memo is worth more than every consulting report we'd commissioned that year.
Head of Operations · Regional insurer · Singapore
What you walk away with
Frequently asked
Honest answers about scope, co-funding, and what happens at the end of the 30 days.
Q01What does the SGD 2,500/month actually cover?
Q02Is the 50% co-funding guaranteed?
Q03What if the prototype doesn't work?
Q04Can I bring more than one use case?
Q05Where does my data go?
Q06What happens after the 30 days?
Q07Who from EIS is actually on the engagement?
Start Ignite, get a decision in 30 days.
Book a 30-minute scoping call. We'll confirm the use case, check co-funding eligibility, and lock the start date on the call.