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Technical Readiness Assessment for AI

Evaluate your data, governance, and technology foundations to build a secure, scalable path to AI adoption

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Technical Readiness Assessment for AI

Why Technical Readiness Matters for AI Adoption

As businesses move from AI experimentation to broader adoption, the quality of the outcomes they achieve increasingly depends on the foundations already in place. Data locations, collaboration environments, governance processes and information management practices all influence how effectively AI can be deployed.

Greater visibility into these areas helps leaders establish priorities, identify opportunities for improvement, and make informed decisions about future AI initiatives.

Prodware’s Technical Readiness Assessment for AI is a structured six-step service that evaluates licensing, collaboration tools, data locations, permissions, and governance foundations.

Delivered over two to three weeks, the assessment program combines technical discovery, stakeholder workshops, and practical improvements to provide a prioritized technical roadmap for AI adoption.

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How does the Technical Readiness Assessment for AI work?

The assessment service follows a structured methodology designed to evaluate the current state of your environment, perform a technical audit across key readiness areas, and translate the findings into practical recommendations.

Step 1 - AI Readiness Survey

A structured survey captures information about licensing, collaboration tools, data locations, sensitive data handling, and existing security controls to establish a baseline view of the environment.

Step 2 - Key User Workshops

Workshops with key stakeholders provide insight into how information is created, shared, managed, and accessed across the business.

Step 3 - Tenant Scan and Discovery

A technical audit analyzes workspaces, permissions, external sharing, governance controls, and data volume to establish the current state of the environment.

Step 4 - Oversharing Quick Wins

Practical improvements are applied where appropriate to strengthen information management, ownership, and access controls.

Step 5 – Build a Technical Readiness Roadmap

Assessment findings are translated into a prioritized technical readiness roadmap, helping define the activities required to prepare the environment for AI adoption.

Step 6 - Technical Readiness Roadmap Workshop

The program concludes with a review of the findings, recommendations, and agreed priorities, providing a clear set of next steps.

How does the Technical Readiness Assessment for AI work?

Build a Strong Foundation for AI Adoption

Gain the visibility, technical insights and recommendations needed to prioritize your next steps and create a clear technical readiness roadmap for AI.

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What are the Benefits of a Technical Readiness Assessment for AI?

Gain a Complete Readiness Picture

Understand your current state across licensing, collaboration tools, data locations, and governance controls, providing a clear baseline before expanding AI initiatives.

Identify Hidden Readiness Gaps

Go beyond surface-level assessments to uncover governance, permissions, information management, and AI usage considerations that may influence future adoption.

Deploy AI with Greater Confidence

Use the findings from the technical audit to establish priorities, address key gaps, and make informed decisions about future AI investments and deployment plans.

Improve Information Governance

Identify opportunities to strengthen ownership, access controls and information management practices, helping ensure content is appropriately governed and maintained.

Create a Clear Path to Transformation

Translate technical audit findings into a structured transformation plan, helping prioritize governance, information management, and readiness initiatives that support long-term AI adoption.

What are the Outcomes and Deliverables from the Technical Readiness Assessment for AI?

The assessment service provides a combination of collaboration assets, technical audit outputs, and strategic planning recommendations that help establish the current state of your environment and define the next steps for future AI implementation.

Teams Collaboration Site

A dedicated Microsoft Teams collaboration site is set up before the assessment begins and remains active for 30 days after completion. It serves as the central hub for the program, containing materials, recordings, and the Q&A channel.

Session Recordings and Support Materials

Recordings and supporting materials are uploaded after each session, giving participants ongoing access to workshop content, technical discussions, and reference materials throughout the program.

Current State Report

Delivered as a technical audit report, this document provides a complete AS-IS analysis of the environment.

Technical Readiness Implementation Plan

Delivered as a planning document and presented during the final workshop, bringing together recommendations for document management, oversharing risks, security controls, and data transformation priorities.

Industries Where Technical Readiness Assessment for AI Helps You Build Foundations for Transformation

  • Assess how operational documents, quality records, supplier information, and production data are stored, governed, and accessed across the business.
  • Identify information management, permissions, and governance improvements that support the use of AI for operational efficiency, maintenance, and knowledge retrieval.
  • Establish a technical roadmap for preparing manufacturing and supply chain environments for future AI deployment initiatives and automation programs.
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Manufacturing & Supply Chain
  • Evaluate the information landscape supporting inventory management, warehousing, procurement, and logistics operations.
  • Improve visibility into data ownership, collaboration processes, and governance controls across distributed teams and locations.
  • Prioritize the technical and governance activities needed to support scalable AI adoption across the distribution network.
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Distribution
  • Audit product information, operational documents, and customer-facing content to understand readiness for AI-enabled experiences.
  • Assess governance, permissions, and information quality across digital commerce and retail environments.
  • Create a technical roadmap that supports future AI use cases across customer service, merchandising, and business operations.
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Retail & E-commerce
  • Evaluate how project knowledge, client documentation, and internal expertise are stored, shared, and managed across the organization.
  • Identify opportunities to strengthen information governance, collaboration practices, and access controls that support knowledge-driven AI use cases.
  • Establish a technical roadmap for AI initiatives designed to improve productivity, knowledge discovery, and service delivery.
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Professional Services
  • Assess governance, permissions and information management practices supporting regulatory, operational, and customer information.
  • Improve visibility into sensitive data locations, ownership structures, and governance controls across the organization.
  • Define a technical roadmap that helps prepare the environment for AI adoption while supporting security, compliance, and risk-management objectives.
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Financial Services

Success Stories That Speak for Themselves

FAQ

The technical audit evaluates key readiness areas including licensing, Microsoft 365 workspaces and workloads, data volumes, permissions, external sharing, and governance controls. It also reviews sites, lists, libraries, inactive workspaces, inherited permissions, guest access, and anonymous sharing links to establish the current state of the environment.

Yes. Although the assessment can analyze Microsoft 365 services such as SharePoint and OneDrive, it can also be applied to other document sources, including Google Workspace and local file servers.

A Technical Readiness Roadmap is a prioritized transformation plan built from the findings of the technical audit. It may include initiatives such as an Oversharing Protect program, Microsoft Purview implementation, SharePoint migration activities, document management improvements, metadata structures, and Agent 365 set-up. Actions are prioritized according to business value, implementation effort, and technical readiness requirements.

Shadow AI refers to employees using AI tools outside the organization’s approved technology and governance framework. The key-user workshops examine the current use of Microsoft AI tools, such as Copilot, alongside shadow AI, so the business can understand how AI is already being used and where governance, data access, or security considerations may need to be addressed.

Work IQ is the intelligence layer in Microsoft 365 Copilot that enables context-aware, personalized, and actionable insights by understanding your work, organizational data, and patterns. Technical readiness helps ensure that information is current, appropriately governed, and accessible only to intended users. The assessment identifies permission and content risks, then recommends actions to improve control over what Work IQ can access.

Microsoft Purview is a data security and governance platform that helps classify, protect, and manage information.  Purview recommendations may cover sensitivity labels, data classification, and data loss prevention policies, alongside permission remediation and least-privilege controls. These actions strengthen information governance and inform the technical readiness roadmap for AI adoption.

Why choose Prodware?

As leaders in digital transformation, we act as a trusted advisor to help clients align disruptive technologies with business realities to address their key challenges. We design and deliver AI assessment, advisory, adoption, training and governance services, as well as AI-infused applications, supporting organizations from readiness and planning through to implementation, adoption, and continuous improvement.

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