Launch Your AI Proof of Concept

Technology leaders need to assess the technical feasibility and the business value of AI initiatives before they make a significant investment.
They need to show not only that AI use cases can work as intended but also that they will yield tangible business benefits to secure support for a larger pilot or implementation.
Leaders face time constraints to demonstrate the viability and benefits of AI use cases. If the assessment takes too long, it could lead to funding delays or missed opportunities.

Our Advice

Critical Insight

Identify relevant capabilities to support your AI use case, and streamline your vendor selection process to find the right implementation partner.

Impact and Result

Identify relevant capabilities to support the AI use cases you identified.
Validate AI use cases against business requirements.
Identify vendors to support AI use cases, devise a vendor selection model, and select products for review.

Launch Your AI Proof of Concept 91制片厂 & Tools

1. Launch Your AI Proof of Concept Deck 鈥� A step-by-step guide that walks you through how to select vendors to support your AI use case.

Use this storyboard to identify relevant capabilities to support your AI use case, validate AI use cases against business requirements and identify vendors to support it.

2. AI Proof of Concept Workbook 鈥� A workbook to guide IT leaders and practitioners as they scope, evaluate, and plan a proof of value for an AI initiative within their organization.

Use this tool to scope, evaluate, and plan a proof of concept for your AI initiative.

3. Vendor Selection Tools 鈥� Two Excel tools that structure the vendor data collection and selection process, and an AI Vendor Interview Script to help you make the most of AI vendor conversations.

Use the AI Vendor Self-Analysis Tool to structure the data you collect from prospective vendors.

Use the AI Vendor Analysis Tool to devise a vendor selection model and identify vendors to support AI use cases.

Use the AI Vendor Interview Script to structure vendor conversations.

4. Workshop Summary 鈥� A customized deliverable that captures analysis, decisions, and next steps identified during the workshop for your key stakeholders.

Use the AI Proof of Concept Workshop Summary to capture the outcome of the project, including data collection and analysis, and vendor selection processes.

Member Testimonials

After each Info-Tech experience, we ask our members to quantify the real-time savings, monetary impact, and project improvements our research helped them achieve. See our top member experiences for this blueprint and what our clients have to say.

10.0/10

Overall Impact

$34,000

Average $ Saved

Average Days Saved

Client

Experience

Impact

$ Saved

Days Saved

Testimonial

City Of Chesapeake

Workshop

10/10

$34,000

Altaz was an excellent guide throughout this workshop. He kept us focused and ensured we successfully completed the AI POC Workbook. Under normal c... Read More

Launch Your AI Proof of Value

Launch Your AI Proof of Concept

Accelerate your implementation.

WORKSHOP OVERVIEW

Analyst perspective

Look before you leap.

The first goal of a proof of concept (PoC) is to determine the technical feasibility of your AI use case. An AI PoC aims to answer whether the technology can work in a real-world environment, identify technical and integration challenges, and mitigate risks before proceeding to a larger-scale implementation.

In contrast, a proof of value (PoV) focuses on demonstrating the broader business value and benefits of the technology. An AI PoV aims to answer whether the technology can deliver tangible benefits, such as cost savings, efficiency improvements, or revenue increases. A successful PoV will show not only whether the technology can perform the intended functions, but also whether it will achieve specific business outcomes.

PoVs are more resource intensive than PoCs, but the deeper exploration of the technology's impact on the business is well worth the effort. Determine whether the AI use cases under consideration can work as intended, but don鈥檛 forget to assess their business value as well before committing to a full-scale implementation.

Michel 贬茅产别谤迟
Principal 91制片厂 Director, Security and Privacy
Info-Tech 91制片厂 Group

Executive summary

Your challenge	Common obstacles	Info-Tech鈥檚 approach
Technology leaders need to assess the technical feasibility and the business value of AI initiatives before they make a significant investment. They need to show not only that AI use cases can work as intended but also that they will yield tangible business benefits to secure support for a larger pilot or implementation. Leaders face time constraints to demonstrate the viability and benefits of AI use cases. If the assessment takes too long, it could lead to funding delays or missed opportunities.	Leaders struggle to define relevant use cases effectively, validate AI use cases against business requirements, and find the right vendor to support them. Organizations lack AI expertise, which can make it difficult to conduct meaningful assessments. AI use case assessments are smaller in scale than full implementations, but they still involve licensing, hardware, and personnel costs. Managing limited budgets well is essential.	Identify relevant capabilities to support the AI use cases you identified. Validate AI use cases against business requirements. Identify vendors to support AI use cases, devise a vendor selection model, and select products for review.

Info-Tech Insight

Streamline your vendor selection process to identify relevant capabilities to support your AI use case and find the right implementation partner.

Your challenge

You need to evaluate the feasibility and value of AI initiatives.

Technology leaders need to assess the technical feasibility and the business value of AI initiatives before they make a significant investment.
Proofs of concept are only a part of the equation. Leaders need to show not only that AI initiatives can work as intended, but also that they will yield tangible business benefits.
Feasibility and value assessments face significant time constraints. If the project team takes too long to secure support for a larger pilot or implementation, it could lead to funding delays or missed opportunities.
Assess if the technology selection and enablement were 鈥渄one right鈥� with positioning proof of value first in your organization.
91制片厂 organizational 鈥淎I muscle鈥� before leaping into a full deployment at scale.

Common obstacles

Finding suitable vendors can be difficult without industry expertise and standards.

Leaders struggle to define relevant use cases effectively, validate AI use cases against business requirements, and find the right vendor to support them.
AI use case assessments are smaller in scale than full implementations, but they still involve licensing, hardware, and personnel costs. Managing limited budgets well is essential.
Meanwhile, organizations lack AI expertise to assess the explosion of potential use cases. Without established standards or reliable data, it can be difficult to conduct meaningful vendor selection.
As always, subjective vendor content marketing and slick sales presentations can obscure the real capabilities of the product.

About Info-Tech

91制片厂 is the world鈥檚 fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.

We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.

What Is a Blueprint?

A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.

Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.

Table of Contents

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Get the help you need in this 3-phase advisory process. You'll receive 7 touchpoints with our researchers, all included in your membership.

Guided Implementation 1: Scoping

Call 1: Discuss your specific challenges.
Call 2: Review workshop structure.
Call 3: Scope workshop engagement.

Guided Implementation 2: Prework

Call 1: Prepare preworkshop activities.
Call 2: Review outcomes and finalize engagement logistics.

Guided Implementation 3: Engagement and next steps

Call 1: Review engagement deliverables and discuss next steps.
Call 2: Access advisory, technical services, and consulting to discuss vendor interviews and plan next steps.