Transform your Business with AWS
AI Assessment

Thriving with AI in today’s rapidly changing environment requires more than experimentation – it demands an in-depth, business-aligned strategy.

The AWS AI Assessment is a 4 to 8-week program designed to evaluate opportunities, align capabilities with your organization’s goals, and deliver a tailored plan for successful, future-proof AI adoption.

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AWS AI ASSESSMENT

Your AI Success Story Begins Here

From data readiness, compliance, and model selection to integration strategies, a detailed roadmap, Total Cost of Ownership, ROI modeling, and ethical AI guidance, we cover every step needed to move from AI exploration to measurable business impact.

Backed by AWS’s unmatched breadth of AI services and industry-leading ROI — and Metal Toad’s 20+ years of experience driving innovation for leaders like Sony, and Daimler — this assessment equips your organization with the expertise to unlock real value from AI and the confidence to scale adoption across teams.

Ready for the AI era? We’ll show you how to get there.

20261001_AI Assessment Phases and Timeline_Desktop-1

AWS AI ASSESSMENT

Your AI Success Story Begins Here

From data readiness, compliance, and model selection to integration strategies, a detailed roadmap, Total Cost of Ownership, ROI modeling, and ethical AI guidance, we cover every step needed to move from AI exploration to measurable business impact.

Backed by AWS’s unmatched breadth of AI services and industry-leading ROI — and Metal Toad’s 20+ years of experience driving innovation for leaders like the GRAMMYs, Sony, and Daimler — this assessment equips your organization with the expertise to unlock real value from AI and the confidence to scale adoption across teams.

Ready for the AI era? We’ll show you how to get there.

20261001_AI Assessment Phases and Timeline_Mobile-1
METAL TOAD AI ASSESSMENTS

Seven Targeted Assessments.
One Clear Path to Production.

Every organization is at a different point in its AI journey. Whether you’re still sorting through ideas or scaling agents in production, our seven targeted assessments help AWS customers identify opportunities, close readiness gaps, prepare workloads for production, and scale AI responsibly — turning AI ambition into measurable value and reduced risk.

Find Your Highest-Value AI Opportunities

1. AI Value, Workflow & Readiness

Turn scattered AI ideas into a prioritized portfolio ranked by business impact, feasibility, risk, readiness, and required investment, so your team knows exactly where to start.

Assess Your AI Governance Gaps

2. AI Governance & Responsible AI

Identify governance gaps, Shadow AI exposure, unclear ownership, and missing controls. Then define the roadmap your organization needs to scale AI responsibly.

Evaluate Your Agentic AI Risk

3. Agentic AI Readiness & Security

Evaluate autonomy levels, permissions, tool access, human oversight, attack surfaces, and operational controls before agentic workflows reach production.

Assess Your Data & RAG Readiness

4. AI Data, Knowledge & RAG Readiness 

Determine whether your data and knowledge sources can support accurate, secure, permission-aware RAG and enterprise AI experiences, and what needs to change if they can’t. 

Validate Your Path to Production

5. Amazon Bedrock Production Readiness

We assess architecture, security, quality, scalability, observability, operations, and cost, and identify exactly what must change before launch.

Understand Your AI Unit Economics

6. GenAI FinOps & Unit Economics

Connect model, token, RAG, agent, and infrastructure consumption to real business outcomes, and identify where to optimize cost without sacrificing quality.

Assess Your AI-Driven Development Readiness

7. AI-Assisted Software Engineering with AWS Kiro

Evaluate how AI-DLC and AWS Kiro can improve Inception, Construction, and Operations while preserving security, quality, governance, traceability, and human oversight.

Not sure where to start?

Engage Metal Toad to identify the right assessment, define your next step, and uncover the AWS funding programs available to your organization. 

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Our customers say it best

  • “Metal Toad is the interface between Laurel Canyon Live and AWS. They are the engine room for getting this innovative solution into the cloud environment.”

    John
    John Ross Founder at Laurel Canyon Live

  • “Metal Toad has outperformed our every expectation along with keeping within our vigorous brand standards.”

    jason
    Jason Thompson Sr. Manager at The Walt Disney Company

  • “Metal Toad always has contingency plans for the worst possible scenario, while working to deliver on the best.  Working with them meant I didn't have to worry.”

    jenny
    Jennifer Connelly Vice President of Technology at Television Academy

  • “The team at Metal Toad stepped up to the challenge and quickly showcased the potential with fast and fluid builds that worked well in conjunction with our direct development efforts.  Solutions oriented, and proactive, I would highly recommend them especially in situations with new and challenging technology.”

    greg
    Greg Gudorf COO M-GO (Technicolor)

  • “The cloud computing environment that Metal Toad built provided significant savings on our traditional in-house hosted environment while delivering a more reliable site, and providing a better customer experience.”

    gerard
    Gerard Lomonaco VP Operations/Technology, Sony

Assessment Phases

1

Use Case Discovery

 In the initial phase, we identify and prioritize high-impact AI opportunities within your organization through whiteboarding sessions, technical deep dives, and stakeholder interviews, making sure each opportunity is aligned with your business objectives. 

2

Data Readiness

 We assess your organization’s data landscape to ensure readiness for AI adoption and identify any potential gaps. We perform a comprehensive inventory of your data sources, evaluate data quality in terms of accuracy, completeness, consistency, and timeliness, and review data accessibility, integration capabilities, and formats. 

3

Security & Risk Mitigation

 We evaluate your organization’s security posture, including privacy controls and all applicable regulatory requirements. A risk assessment is conducted across your existing infrastructure, integration points, and API capabilities, and we define corresponding mitigation strategies for each risk identified. 

4

Model & Agent Evaluation

 A comprehensive AI model and agent assessment is conducted, with recommendations on the models and agents best suited for the top use cases identified. Our evaluation considers performance and capabilities, cost and efficiency, and reliability and consistency, delivering a detailed recommendation supported by evidence. 

 

5

Implementation Plan & Recommendations 

In this phase, we design the high-level AWS architecture and system integration approach for your AI initiative. We define implementation phases, timelines, and critical milestones, and shape the resources, time, and materials required for a proof of concept.

6

Business Case & ROI Analysis

Expected benefits are quantified, including cost savings and revenue opportunities, with calculated return on investment across multiple scenarios. We develop a Total Cost of Ownership model, including ongoing operational costs, define success metrics and KPIs, and prepare an executive summary with strategic recommendations.

7

Ethics & Workforce Adoption

 We provide guidance and documentation on the considerations for ethical AI usage, addressing key principles including Fairness, Explainability, Security, Safety, and Governance. We also outline how to prepare your teams for workforce adoption, so AI becomes part of their daily work. 

 

 

 

The AWS AI Assessment Advantage

The AI Assessment enables your organization to unlock AI’s full potential through a strategic framework rooted in a deep understanding of your business. By emphasizing the ‘how,’ ‘where,’ and ‘why’ of AI application, our human-centered, in-depth assessment empowers informed decision-making and guides you through a transformative process to optimize operations and enhance your competitive edge.

 

Key advantages of the AWS AI Assessment include:

  • Strategic alignment – Ensures AI initiatives are directly tied to your organization’s objectives, addressing critical pain points and unlocking measurable business value.
  • Data readiness validation – Evaluates your existing data structures for AI readiness, identifying gaps and opportunities for optimization before implementation.
  • Practical AI use cases – Delivers tailored solutions that are industry-relevant, actionable, and designed to maximize the impact of AI within your organization.
  • Seamless integration – Reviews and optimizes your existing technology stack to integrate AI effectively while preserving prior investments.
  • Technical guidance – Provides high-level architecture, recommended technologies, and frameworks aligned with your organization’s use cases.

With the right AWS consulting partner, businesses can harness the full power of AI to lead in a competitive landscape, enhancing efficiency, innovation, and market positioning.

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50%

SaaS Development Cost Savings with Brazilian Nearshore Teams

$25K

AWS Proof Concept Funding available

What to look for in an AI Assessment Provider

Choosing the right partner for an AI Assessment can make or break your AI adoption journey. Many organizations engage in unstructured or non-compliant AI initiatives that aren’t future-proof, wasting time and resources with non-specialized consulting. Whether your organization is exploring AI for the first time, optimizing existing initiatives, or integrating AI into operations, the right provider should bring deep technical expertise, strategic guidance, and a proven track record of delivering actionable, business-aligned AI solutions.

Key qualities to look for in an AI Assessment provider include:

  • Proven AI expertise – Demonstrated experience with AI and AI applications, with a deep understanding of both technical and business sides.
  • End-to-end assessment capability – Ability to conduct comprehensive evaluations spanning business objectives, data readiness, technology stack, and technical feasibility.
  • AWS funding support – Ability to help you access AWS funding programs, potentially covering up PoC funding.
  • Security and compliance awareness – Experience in privacy, security, and regulatory requirements relevant to AI adoption, ensuring responsible and compliant AI usage.
  • Human-centered approach – Focused on understanding your organization and anticipating AI implementation opportunities to ensure solutions enhance decision-making.
  • Technical guidance and architecture – Expertise in designing high-level architectures and evaluating AI models.
  • Cost-effective development – Nearshore or hybrid teams that reduce development costs while enabling real-time collaboration and high-quality delivery.
  • Agile project management – Flexible, transparent processes that support iterative improvement and fast time-to-market.
  • Collaborative and strategic mindset – Works closely with your team to co-create solutions that align with organizational goals, ensuring AI delivers measurable business value.

A consulting partner with these strengths can help you deliver exceptional viewer experiences while optimizing for cost, scale, and long-term success on AWS.

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FREE OFFERING

Gen AI Strategy Session

 

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POTENTIAL AWS FUNDED

Gen AI Proof of Concept

POCs provide a rapid way to validate the effectiveness of Artificial Intelligence algorithms in addressing specific business challenges, accelerating the decision-making process. It can be totally or partially funded by AWS.

 

Begin Your AI POC

Why select Metal Toad for the AWS AI Assessment

Top 6 mistakes made in AI Initiatives

Deploying AI initiatives comes with unique technical and strategic challenges. Here are the top six mistakes to avoid:

  • 1. Lack of Clear Objectives

    Without defined business goals, AI projects risk delivering outputs that don’t provide real value.

  • 2. Underestimating Technical Complexity

    Integration, infrastructure, and maintenance challenges can delay or derail projects.

  • 3. Insufficient Data Quality and Quantity

    Poor or incomplete data leads to inaccurate models and unreliable results.

  • 4. Skipping Use Case Validation

    Failing to prioritize high-impact, feasible AI applications results in wasted effort.

  • 5. Neglecting Security and Compliance

    Violating privacy, regulatory, or ethical requirements can have legal and reputational consequences.

  • 6. Overengineering Solutions

    Creating overly complex models or processes delays deployment, reduces usability, and increases maintenance burden.

The Metal Toad Advantage

Here are six key advantages of working with Metal Toad that directly address the top challenges in implementing AI:

  • 1. In-Depth Assessment, Clear Business Alignment

    We help define specific, measurable AI objectives that directly support your organizational goals, ensuring every initiative delivers real business value.

  • 2. Technical Feasibility and Guidance

    With over 20 years of experience, our experts assess integration, infrastructure, and technical requirements upfront, delivering high-level architectures and implementation strategies that help prevent delays and deployment challenges.

  • 3. Data-Driven Foundation

    We evaluate your data quality, completeness, and readiness, addressing any potential gaps and ensuring that AI models are trained on reliable, structured data to generate accurate and actionable insights.

  • 4. Prioritized Use Cases

    We identify and validate high-impact AI use cases, assessing their opportunities and challenges, and focus on initiatives that deliver the greatest business value to your organization.

  • 5. Security and Compliance by Default

    Security isn’t an afterthought. Privacy, security, and regulatory requirements are embedded into every phase of the assessment, guaranteeing responsible, compliant, and ethically sound AI adoption.

  • 6. Practical, Scalable Solutions

    We never overengineer—our AI solutions are practical, user-friendly, and scalable, enabling fast deployment and simplified maintenance.
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