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AI Readiness & Prototype

95% of GenAI Projects Deliver Zero Return. The Cause Is the Data Layer, Not the Model.

MIT's 2025 research found 95% of enterprise GenAI pilots deliver no measurable return, and RAND puts AI project failure above 80%. The bottleneck is almost never the model. It's whether your data, architecture, and governance are ready. AI Readiness scores exactly that with our 100 Point Check, then ships a working prototype where you're ready, so you know whether to build now, fix the gaps first, or wait.

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100-Point

Readiness Check methodology

2 weeks

To your first blueprint

3 tiers

Assessment, Prototype, Custom

From $18K

Fixed-fee engagements

Overview

What is AI Readiness & Prototype?

Most enterprise AI initiatives fail before the model is ever the problem. The data isn't structured for it, the architecture can't support it, governance isn't in place, or the use case was never viable. AI Readiness answers the question every leader is actually asking before committing budget: are we ready, and if not, exactly what has to change? We run the Spartera 100 Point Check, a weighted diagnostic across your data, use case, security, management, and team, and pair it with a vendor-neutral architecture review. Where you're ready, we build a working prototype on your real data so readiness is proven, not assumed. You leave with an evidence-based go, fix, or wait recommendation, a prioritized remediation roadmap, and, at the Prototype tier and above, a functioning proof of concept.

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The Spartera 100 Point Check, a weighted readiness scorecard across data, use case, security, management, and team

Vendor-neutral architecture blueprint with no platform lock-in

A working prototype on your real data at the Prototype tier and above

A clear, evidence-based go, fix, or wait recommendation

Three fixed-fee tiers: Assessment, Prototype, and Custom

The Challenge

Why Start With Readiness

The fastest way to waste an AI budget is to build on a data layer that was never ready. Readiness is the cheapest insurance you can buy.

The data layer is the real bottleneck

MIT 2025 found 95% of GenAI pilots deliver zero return. RAND puts AI project failure above 80%, twice the rate of non-AI IT projects. S&P Global reports 42% of companies abandoned most AI initiatives in 2025, up from 17% a year earlier. The common cause is data quality and architecture, not the model.

A score, not a hunch

The 100 Point Check turns readiness into a weighted, defensible number across five dimensions, so the decision to build, fix, or wait is grounded in evidence you can take to a board.

Prove it with a prototype

At the Prototype tier and above, we build a working proof of concept on your actual data. Readiness stops being a slide and becomes something you can see running.

Vendor-neutral by design

The architecture blueprint is platform-agnostic. We recommend what fits your stack and goals, not what we're paid to resell, so you avoid lock-in before you've even started.

Our Approach

Three Tiers, One Outcome: Certainty

Start with a fast diligence read, prove it with a prototype, or scope a multi-agent build. Every tier is fixed-fee.

Tier 1: Assessment

A fast, fixed-fee diligence read. The 100 Point Check plus a vendor-neutral architecture blueprint and a go, fix, or wait recommendation. The lowest-risk way to know where you stand.

100 Point Check readiness scorecard
Vendor-neutral architecture blueprint
Prioritized remediation roadmap
Evidence-based go, fix, or wait recommendation

Tier 2: Prototype (Most Popular)

Everything in the Assessment, plus a working prototype built on your real data. Readiness proven, not assumed, with a functioning proof of concept your team can evaluate.

Full Assessment deliverables
Working prototype on your real data
Technical validation of the target use case
Build recommendations and next-phase plan

Tier 3: Custom

A scoped engagement for multi-agent systems and production-grade builds, tailored to complex environments and larger AI programs.

Custom scope for multi-agent or production builds
Full architecture and data-layer design
Production-oriented prototype or pilot
Delivery roadmap and governance plan

Ready to Get Started?

Schedule a free 30-minute consultation — we'll confirm your data is a fit.

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Engagement Details

From $18,000

Investment

Fixed-fee, no hidden costs

2 to 12 weeks by tier

Timeline

From kickoff to delivery

Tier 1 Assessment ($18K to $22K, 2 weeks) / Tier 2 Prototype ($55K to $70K, 4 weeks) / Tier 3 Custom (from $120K, 6 to 12 weeks)

Format

Optional Add-ons

The Spartera 100 Point Check as a standalone diagnostic

Additional prototype iterations

Data-layer remediation delivery

Progression into a Data Foundation or full build engagement

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What to Expect

Based on engagements with companies at similar stages. Individual results vary with data quality, use-case complexity, and internal readiness.

A clear go, fix, or wait decision

Most teams come in unsure whether their AI initiative is viable. They leave with a defensible readiness score and a specific recommendation, so budget goes to what's ready and not to what isn't.

A working prototype, not a slide deck

At the Prototype tier and above, you see a functioning proof of concept on your own data before committing to a full build, dramatically lowering the risk of the investment.

A prioritized remediation roadmap

Where gaps exist, you get a ranked plan to close them, so the path from where you are to production-ready is concrete rather than aspirational.

Ready to see what's possible for your data?

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FAQs

Common Questions

How is this different from a generic AI consulting assessment?

Most assessments hand you a slide deck of opinions. We give you a weighted, defensible readiness score from the 100 Point Check, a vendor-neutral architecture blueprint, and, at the Prototype tier and above, a working prototype on your real data. You leave with proof and a decision, not a set of recommendations you still have to validate.

Which tier should we start with?

If you need to know whether an initiative is viable before committing budget, start with the Assessment. If you already believe in the use case and want to prove it on your data, go straight to the Prototype. The Custom tier is for multi-agent systems and production-grade builds. The discovery call confirms the fit.

Do you need access to our raw data?

No. We work from your schema, architecture, and a defined use case. For the prototype, we use read-only access in your environment. Raw data does not need to leave your control, consistent with Spartera's zero-data-movement approach.

What is the Spartera 100 Point Check?

It's our weighted readiness diagnostic. It scores five dimensions, data, use case, security, management, and team, to produce a single, defensible readiness number and pinpoint exactly where the gaps are. It's the backbone of the Assessment and every higher tier.

What happens after the engagement?

You have a clear go, fix, or wait decision. If you're ready to build, we can progress into a Data Foundation or full build engagement. If gaps exist, you have a prioritized roadmap to close them. Either way, the next step is concrete.

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Ready to Find Out If You're AI-Ready?

A 30-minute discovery call confirms the right tier. From there, your readiness score and first blueprint can be in hand in as little as two weeks.

Discovery call

30 minutes to confirm your use case and the right tier

100 Point Check

We run the weighted readiness diagnostic and architecture review

Blueprint and prototype

Vendor-neutral blueprint, plus a working prototype where you're ready

Executive readout

Your score, roadmap, and a clear go, fix, or wait recommendation

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No commitment required

30-minute discovery call

Custom solution proposal