Kasten helps companies evaluate AI initiatives that are stuck between demo and production. We identify whether the project is viable, what is blocking it, and whether leadership should continue, redesign, or stop investing.
For companies with stalled AI pilots, unclear vendor claims, unreliable prototypes, or no clear path to production.
The problem
They fail when the company tries to make them reliable, integrated, measurable, and operationally useful. The risk is not just failed software — it is wasted budget, unclear technical direction, vendor dependency, and leadership continuing to fund work that may never become a product.
The expensive mistake is not a failed prototype. The expensive mistake is continuing to fund an initiative after the evidence already says it will not become a product.
Most companies already have activity. What they lack is a clear answer on whether the initiative can realistically reach production — and whether it deserves more budget.
Recognizable failure patterns:
Qualification
Kasten is a fit when an AI initiative has already consumed time, budget, or executive attention — but leadership still cannot answer whether it should continue.
A proof-of-concept worked, but production adoption stalled.
A vendor is making claims leadership cannot verify.
Internal teams are experimenting, but no product path exists.
Data quality problems are slowing or undermining the work.
Users do not trust the output.
The system is not connected to real workflows.
The expected ROI is unclear.
Leadership needs an independent go/no-go recommendation.
This is not for companies casually exploring AI. It is for organizations that have already invested time, money, or executive attention into an AI initiative and need a serious technical decision before committing more budget.
The failure pattern is common.
Research from Gartner, RAND, and MIT points to the same pattern: many AI initiatives fail after the proof-of-concept stage because of poor data readiness, unclear business value, weak integration paths, vendor overpromising, and lack of production ownership.
Kasten exists for that failure point.
The offer
Many AI projects work in a demo but fail before becoming reliable products. Kasten helps leadership determine whether an AI initiative is technically viable, commercially useful, realistic for production, and worth continued investment.
A focused assessment for companies that have already started an AI initiative and need to know whether it can become a real product.
What is reviewed
Assessment deliverables
Typically 10 business days. Ends with an executive-ready recommendation: continue, redesign, or stop.
What leadership receives
At the end of the assessment, leadership receives a written recommendation:
Continue
The initiative is viable, with a defined production path.
Redesign
The direction is promising, but the current approach will not work.
Stop
The project is unlikely to become a reliable product without disproportionate cost or risk.
What Kasten evaluates
Use case viability
Whether the problem is real, scoped correctly, and worth solving with AI — not just feasible in a demo.
Data readiness
Quality, availability, labeling, governance, and whether the data can support production use.
Model and prototype reliability
Whether current outputs hold up outside controlled examples and can be trusted by users.
Architecture and integration path
How the system connects to real workflows, systems of record, and operational constraints.
Vendor and team capability
Whether internal teams or vendors can actually deliver — and whether their claims match reality.
Production risk
Monitoring, failure modes, ownership, security, compliance, and what breaks at scale.
Cost and ROI reality
Whether projected value holds up against build cost, run cost, and time to production.
Execution roadmap
What must happen next if leadership chooses to continue — and what to stop funding if not.
Need this kind of decision on an active AI project?
Request an AI Viability AssessmentNot staff augmentation, generic AI consulting, or advisory-only work. Vendor-neutral technical judgment with a clear go/no-go recommendation.
Engagements
Start with the assessment. Continue with execution leadership only if the initiative deserves it.
A focused review of a stalled AI initiative — use case, data, prototype, architecture, vendor claims, and production risks — ending in a clear executive recommendation.
Typically 10 business days. Ends with an executive-ready recommendation: continue, redesign, or stop.
Ongoing technical ownership to redesign, productionize, or oversee the initiative after the assessment — when leadership has decided the project is worth continuing.
Retainer or project-based · After assessment or by direct inquiry
About
Kasten Technologies is led by a hands-on software engineer and AI systems architect with experience building production software, AI and data systems, backend platforms, and operational technology.
The work is grounded in practical engineering judgment: what can be built, what can be trusted, what can be operated, and what should not receive more budget. Not advisory frameworks. Not vendor sales narratives. Evaluation grounded in what is realistic for production.
Background:
The question Kasten answers: Can this AI initiative become a real product — and is it worth continuing before more budget gets burned?
Next step
If your AI initiative is stuck between demo and production, Kasten can help determine whether to continue, redesign, or stop.
Contact
Describe the AI initiative, what stage it is in, and what is blocking a production decision. No pitch deck required.
What happens next: A response within one to two business days. If there is a fit, we schedule a direct conversation.
For CEOs, COOs, CTOs, CFOs, and leaders responsible for AI initiatives that are not producing value.