◆ Self-serve diagnostic

Where is your SME actually leaking time?

Seven questions. Two minutes. Benchmarked against real IMDA data on Singapore SME digital maturity — and the gap an AI-powered SME closes.

7 questions · 2 min · IMDA-benchmarked

First: your sector (so we show the right peer benchmark)

0 / 7

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— / 100

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Legend

Your score

Today's operational reality

Singapore SME peer avg

IMDA 2024/2025 benchmark

XinceAI-powered SME

What's possible in 3–6 months

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◆ hover or tap any vertex for details

Where the pain is

Sorted weakest first · one card per axis

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Refines this axis score with more specific context

The gap you can close

Estimated annual impact based on your score

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Hours saved / year

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Dollar value (S$)

Start with these workflows

Matched to your 3 weakest axes

Ready to close the gap?

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How this benchmark was calculated

Peer averages are derived from IMDA Singapore Digital Economy Report 2024/2025. Baseline scores are anchored to real SME adoption stats (95.1% adopted at least one digital area, averaging 2.3 of 6; 14.5% AI adoption; function-level AI use from IMDA Fig 10). Your sector selection applies a per-axis modifier derived from the sector-specific digital intensity in IMDA Fig 5.

Your sector: — Generated: —

Axis	IMDA base	Sector modifier	= Peer benchmark	AI target	Your score	Gap to target

Formula: Peer benchmark = IMDA base + sector modifier (clamped 15201380). Your score is averaged across your 7 answers (and any drilldown refinement). Gap = AI target − your score.