Software Care Check
Your software or AI is stuck — spend 3 minutes finding where to start.
Describe one software or AI problem you're stuck on, and a few questions help you find the least-effort next step — a low-cost diagnosis, a build-ready blueprint, rescuing an AI prototype, managed build, or a data & deployment boundary talk first. This is rule-based guidance, not a guaranteed outcome.
Most software and AI projects don't fail on technology — they fail because the problem wasn't stated clearly, or it isn't yet at a build-ready stage. This check helps you tell those apart first.
The check only does rule-based routing from your answers to help you find the right first step. It does not collect your project details unless you choose to leave contact info at the end.
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Leave your contact info and we'll tidy up this result and the suggested next step and email it to you. Your project details won't be made public.
Research basis
The routing logic aligns with three public industry and standards documents; we only cite what the sources explicitly state, and don't invent numbers.
- Gartner press release: Gartner Predicts 30% of Generative AI Projects Will Be Abandoned After Proof of Concept By End of 2025 (2024-07-29). At least 30% of generative-AI projects are abandoned after proof of concept, for four main reasons: insufficient data quality, insufficient risk control, rising cost, and unclear business value — the same four gaps "AI prototype rescue" closes.
- McKinsey (QuantumBlack): The state of AI in 2025 (2025-11). Most companies already use AI regularly in at least one function, but the share seeing enterprise-level impact is still low; redesigning clear workflows is the key to the impact gap — matching the path from "state the process clearly" to "build-ready blueprint / managed build".
- NIST AI Risk Management Framework 1.0 (NIST AI 100-1): AI Risk Management Framework 1.0 (2023-01-26). Governs AI risk through four core functions — Govern / Map / Measure / Manage — the layer to address first when your data involves personal data, is regulated, or can't go on public cloud, i.e. the "data & deployment boundary consult".
FAQ
What is the Software Care Check, and how long does it take?
It is a free online check. A few questions describe the software or AI problem you are stuck on, and in about 3 minutes you get a suggested next step. It uses rule-based routing as a low-effort starting point — not a guaranteed outcome, and it does not replace a formal technical assessment.
What kind of direction does the check give me?
Based on what you describe, the check identifies which category your least-effort next step falls into: a low-cost software diagnosis, a build-ready blueprint, AI prototype rescue, managed build, or a data & deployment boundary talk first. Each carries a different level of effort and risk, so you do not have to spend big on a rebuild up front.
My AI prototype is just a demo and can't go live yet — is the check useful?
Yes. Many AI projects don't fail on the model — they fail on data quality, permissions, deployment, monitoring, and maintenance; Gartner notes at least 30% of generative-AI projects are abandoned after proof of concept. The check helps you see how many steps the prototype is from real use, and which layer to close.
My data involves personal data or can't go on public cloud — can I still take the check?
Yes. If your data involves personal data, is regulated, or can't go on public cloud, the check routes you to a "data & deployment boundary consult" — clarify the usable data scope and deployment approach first, then decide how to build, so you don't discover halfway that it can't go live.
What happens after the check? Will I be sold to?
The result is only a suggested starting point. You can choose to book a software diagnostic to talk through the stuck problem, or simply leave your problem description for now. Omni Care's role is to take AI or software to completion and maintain it long-term — not to sell you an on-prem box.