AI readiness assessment & implementation strategy

The engagement starts with a clear view of how AI is already being used across your organization. Our team maps existing tools, workflows, use cases, and adoption patterns to uncover fragmented practices, capability gaps, and opportunities for more coordinated AI adoption.

Rather than reducing the organization to a single maturity score, Globaldev assesses individual business and engineering functions. Current capabilities, processes, skills, tooling, and controls are evaluated to show where each function stands today and what is needed to progress.

Potential AI use cases are explored across relevant business and engineering workflows and assessed against expected value, technical feasibility, implementation effort, risk, and organizational readiness. The result is a focused set of opportunities that can then be prioritized for further investment and implementation.

A technical review of the existing environment helps determine whether it can support the AI initiatives under consideration. Our specialists examine systems, integrations, data flows, infrastructure, dependencies, and architectural constraints to identify gaps that should be addressed before implementation.

Security and compliance considerations are assessed in the context of how AI will actually be used. This includes data handling, access controls, privacy, intellectual property, security requirements, human oversight, and existing controls, resulting in practical requirements for safer AI adoption.

Assessment findings are translated into a structured AI adoption roadmap with clear priorities, dependencies, ownership, implementation sequence, timelines, and success criteria. It gives stakeholders a practical path from the current state to the initiatives selected for implementation.

Business and technology leaders are brought together to align on opportunities, priorities, risks, investment decisions, and expected outcomes. Facilitated by Globaldev experts, the workshop helps establish shared direction and connect individual initiatives with the broader enterprise AI strategy.

The choice of AI models and technologies is driven by the requirements of prioritized use cases rather than by technology preferences. Globaldev evaluates relevant options against capabilities, integration requirements, security, cost, performance, and the existing technical environment.

For prioritized initiatives, the expected business value is considered alongside implementation costs, ongoing investment, risks, and measurable success criteria. The resulting AI business case gives decision-makers a practical basis for determining what should be piloted, funded, scaled, or reconsidered.

Where more centralized AI capabilities are needed, the assessment can inform the structure and operating model of an AI Center of Excellence. Globaldev helps define responsibilities, governance, standards, knowledge-sharing practices, and reusable approaches for coordinating AI initiatives across the organization.