AI Proof of Concept

Problem

AI Uncertainty Blocks Investment

You know AI could help, but which use case? What's the ROI? Will it work with your data? Without validation, AI projects get stuck in planning or fail after expensive commitments.

• Unclear ROI and business case for AI initiatives
• Risk of investing in wrong AI use case or approach
• Need to validate feasibility before full-scale deployment

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Approach

Validate AI's Value Before Scaling

A time-boxed pilot that tests a specific AI use case in your real business environment. Your actual data, your actual systems, your actual constraints. We define success criteria upfront, run the pilot fast, and deliver a clear go/no-go recommendation with everything you need to make a confident investment decision.

Focused Scope

We pick one well-defined AI use case and test it in a controlled real-world scenario. No boiling the ocean. Just enough to prove whether AI delivers value for this specific problem.

Quick Validation

Short-term engagement, typically 4-6 weeks, delivering clear, measurable results and a go/no-go decision. You'll know exactly what AI can do for you before committing to a larger investment.

Clear Next Steps

Every PoC ends with a concrete roadmap: what worked, what didn't, what to scale, and how to get there. No orphaned experiments. Just actionable insight for the next phase.

Business Impact

What You Actually Get

Validated AI value before committing to full-scale investment.

4-6 weeks

Clear Go/No-Go

A definitive answer on whether AI delivers value for your specific use case. Based on your real data.

Validated

Investment Confidence

ROI quantified, risks identified, and a concrete roadmap for scaling. No more guessing.

Roadmap

Actionable Next Steps

Every PoC ends with clear recommendations. What worked, what didn't, and exactly what to do next.

Why Cloud2

PoCs That Actually Decide

We deliver decisions, not demos. Real data, real constraints, real results.

Your Real Data

We test with your actual data and systems. Not synthetic datasets that work perfectly in demos.

Success Criteria Upfront

We define what success looks like before we start. No moving goalposts.

Fast Turnaround

4-6 weeks from kickoff to go/no-go decision. Short commitment, clear outcome.

Full Lifecycle View

Not just 'does it work?' but also 'can we scale it, govern it, and afford it?'

Success Stories

Proven in Production

Real customers, real results. No hypotheticals.

Technology

Grano

AI-powered image tagging and alt-text generation for Finland's leading digital asset management platform EMMi

250+

Brands using AI-enhanced EMMi platform

Manufacturing

TWP Group (twoAI)

Managed AI data solution for field service optimization

Significant

Time savings in field service operations

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FAQ

Common Questions

How long does a typical PoC take?

4-6 weeks depending on use case complexity. We scope tightly to deliver a clear decision within that timeframe.

What if the PoC shows AI doesn't work for our use case?

That’s a valid and valuable outcome. A no-go decision saves you from a larger failed investment. We’ll recommend alternative approaches if they exist.

Do we need clean data before starting?

Not necessarily. Part of the PoC is understanding your data reality and working with what you have. We’ll flag data quality issues as findings.

Can we run multiple PoCs at once?

We recommend focusing on one at a time for clear results. But we can run parallel PoCs if your team has capacity.

What happens after a successful PoC?

You get a scaling roadmap: what to build, what infrastructure you need, estimated costs, and governance requirements. We can help with implementation too.

Field Notes

AI Validation Strategies

Insights on testing AI use cases before full investment.

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Ready to Get Started?

Let's discuss how Cloud2's AI Proof of Concept service can help you achieve your goals.

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