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AI Strategy & Readiness

Find where AI can create measurable value, what must be ready first, and how to move from interest to a governed delivery roadmap.

What problem does this solve?

AI interest often grows faster than organizational readiness. Teams may have many ideas but no shared priorities, incomplete data, unclear ownership, uncertain governance, and no practical route from experimentation to production.

Who is it for?

Executive sponsors building the business case for AI.

CIO, CTO, data, digital, and innovation leaders defining the operating model.

Operations leaders looking for measurable process improvement.

Risk, privacy, security, and compliance teams setting boundaries.

Business application owners who need a roadmap connected to existing platforms.

How Ignatiuz delivers it

1

Assess process maturity, systems, data, bottlenecks, controls, and automation opportunities.

2

Align leaders on outcomes, use cases, constraints, ownership, and decision criteria.

3

Prioritize opportunities using value, feasibility, risk, and readiness.

4

Define an AI strategy, target architecture, governance model, and phased roadmap.

5

Select a pilot with a clear success measure and production path.

Common use cases

Process and automation opportunity assessment.

AI use-case discovery and prioritization.

Data and knowledge readiness review.

Governance and Responsible AI operating model.

Pilot definition, target architecture, budget range, and roadmap.

Platforms involved

Microsoft 365, Azure, Power Platform, Dynamics 365, Business Central, and Copilot ecosystem.

Salesforce and connected business applications.

Enterprise data platforms, document repositories, APIs, and integration services.

OpenAI and Claude where model evaluation is part of the strategy.

Security and governance

Human in the Lead

Security and governance are included from the first workshop. The team identifies sensitive data, access boundaries, human review points, audit needs, model risks, approval roles, and production ownership before a use case is approved for build.

Proof

Approval required before publication

Insert one approved example showing how a readiness engagement reduced uncertainty, prioritized a small number of use cases, or created a funded roadmap. Supporting proof may include a sanitized roadmap, workshop output, or approved client testimonial.

Frequently Asked Questions.

Is this only for organizations that are new to AI?
No. It is also useful when an organization has several pilots but lacks shared governance, prioritization, adoption, or a production operating model.
Typical outputs include prioritized use cases, readiness findings, governance decisions, target architecture, pilot scope, success measures, and a phased roadmap.
The work combines business, operational, data, security, and architecture perspectives. The goal is a plan that leaders can fund and delivery teams can execute.

Ready to talk about AI Strategy and Readiness?

A readiness workshop is the fastest way to find out if this is the right starting point.

Book an AI Readiness Workshop
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