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Touchpoint

p-ISSN: 1868-6052
e-ISSN: 2940-2778

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Touchpoint - From AI to Synthetic Services

Surfacing Early Readiness Gaps in AI-enabled SaaS Projects

Jia-May Wu, Hsien-Hui Tang

Touchpoint - From AI to Synthetic Services 17 No. 1 (2026)
https://doi.org/10.30819/touchpoint.17-1.01     pp: 6-9     2026-04-20

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Wu, J., & Tang, H. (2026). Surfacing Early Readiness Gaps in AI-enabled SaaS Projects. Touchpoint - From AI to Synthetic Services, 17 (1), 6-9. doi:10.30819/touchpoint.17-1.01
@article{Wu_2026,
doi = {10.30819/touchpoint.17-1.01},
url = {https://doi.org/10.30819/touchpoint.17-1.01},
year = 2026,
publisher = {Logos Verlag Berlin},
volume = {17},
number = {1},
pages = {6-9},
author = {Jia-May Wu, Hsien-Hui Tang},
title = {Surfacing Early Readiness Gaps in AI-enabled SaaS Projects},
journal = {Touchpoint - From AI to Synthetic Services}
}
Abstract
In an early-stage deployment of an AI occupancy solution for a highway service-area restaurant, a recurring pattern emerged: after 20:00, the system consistently reported a ‘0’ for the ‘Glass House’ seating zone. Drawing on SaaS and IT heuristics, the engineering team flagged this flat zero as a likely malfunction – investigating camera misalignments, pipeline glitches or model failures.
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