Validate AI Ideas
In Weeks, Not Months
You have an AI use case but uncertainty: Will it work? Will staff use it? Will it deliver ROI? An AI proof of concept answers these questions fast—before you commit serious budget.
AI Projects Fail at Alarming Rates
The #1 reason? Skipping validation.
70% of AI projects never deliver ROI
Gartner and McKinsey research: most AI initiatives fail to produce measurable business value. They looked good on paper but failed in execution.
$50K-250K wasted on bad ideas
Full AI implementations cost tens to hundreds of thousands. Build the wrong thing or misjudge the problem and that's money gone with zero return.
Months spent on unproven assumptions
Teams spend 6-12 months building AI systems based on theoretical use cases. Launch and discover the real problem was something else entirely.
User rejection kills good AI
Technically perfect AI fails if employees or customers won't use it. Test usability and adoption early—or watch your investment sit unused.
Proof of Concept: Fast Answers, Low Risk
Validate assumptions before writing big checks.
2-4 Week Validation Cycles
Build a focused POC that tests core assumptions: Can AI handle this workflow? Does it integrate with our systems? Do users accept it?
Go/No-Go Decision Clarity
POCs produce binary outcomes: proven viability or clear failure. Either way, you have data to decide—proceed, pivot, or kill the project.
Test at 5-10% of Full Cost
POCs cost $3K-8K vs. $50K-250K for implementation. Fail fast, fail cheap. Succeed and you have proven ROI to secure full funding.
Validate Technical Feasibility
Can AI understand your customers' accents? Does it integrate with your CRM? Can it handle your call volume? POCs answer technical questions before you commit.
Test User Acceptance
Deploy POC to real users (staff or customers). Gather feedback on usability, quality, and satisfaction. Fix issues before enterprise rollout.
Measure Real-World Performance
POCs track actual metrics: resolution rate, escalation rate, user satisfaction. Compare to baselines and prove AI impact with hard data.
Got an AI Idea? Validate It Fast.
2-4 week proof of concept projects that answer the key question: Will this work?
Discuss Your POC