Identify Practical AI Use Cases Before Buying Tools or Launching Pilots

Stratusfair helps leadership teams separate AI hype from practical business value with a focused assessment of workflows, data readiness, governance risk, and realistic pilot opportunities.

What the AI Opportunities Assessment Answers

This assessment is built for organizations that know AI matters but need a practical, defensible plan before investing in software, pilots, vendors, or internal enablement.

Where can AI create value?

Identify use cases tied to cost reduction, speed, customer experience, quality, risk, or revenue enablement.

Are we ready?

Evaluate data quality, access, privacy, security, governance, tooling, and team readiness.

What should we pilot first?

Prioritize initial pilots based on business value, feasibility, risk, effort, and adoption requirements.

Assessment Scope

Workflow and Automation Opportunity Review

Review repetitive knowledge work, document-heavy processes, service workflows, reporting tasks, support requests, and decision bottlenecks.

  • Manual process scan
  • AI assistant and automation candidates
  • Operational friction points
  • Expected business value by use case

Data and Platform Readiness

Evaluate whether your data, systems, permissions, and integration patterns can support useful AI or automation safely.

  • Data availability and quality review
  • Access, privacy, and retention concerns
  • Microsoft 365, cloud, and analytics platform fit
  • Readiness gaps that block near-term pilots

Responsible AI and Governance Review

Define the guardrails needed to use AI without creating avoidable privacy, security, compliance, or operational risk.

  • Acceptable use guidance
  • Data handling and confidentiality considerations
  • Human review and approval requirements
  • Initial governance and risk controls

Prioritized Pilot Roadmap

Turn findings into a practical roadmap of first pilots, prerequisites, owners, success metrics, and next steps.

  • Use case scoring matrix
  • Recommended first 1-3 pilots
  • 90-day action plan
  • Platform, data, and change management recommendations

Deliverables

  • AI opportunity map by department, workflow, or business capability
  • Prioritized AI use case backlog with value, feasibility, risk, and effort scoring
  • Data, security, privacy, and governance readiness findings
  • Recommended first pilots with success metrics and implementation considerations
  • 90-day AI action plan for leadership and delivery teams
  • Executive briefing summarizing decisions, risks, and next steps

Process

Discover

Interview stakeholders and identify workflows, pain points, data sources, and existing technology constraints.

Evaluate

Score AI opportunities by business value, feasibility, data readiness, risk, effort, and adoption complexity.

Prioritize

Select the highest-value use cases and determine what must be fixed before pilots begin.

Plan

Deliver the opportunity map, pilot recommendations, governance needs, and 90-day action plan.

Frequently Asked Questions

What is an AI Opportunities Assessment?

It is a focused assessment that identifies realistic AI and automation use cases, evaluates readiness and risk, and recommends the first pilots worth pursuing.

Is this only for companies that already have clean data?

No. Many organizations use the assessment because they are unsure whether their data is ready. The output separates near-term opportunities from use cases that require data or governance work first.

Does this include selecting AI tools?

Tool fit can be included, but the primary goal is to identify the right business use cases before committing to a vendor or platform.

Find the AI Use Cases Worth Pursuing

Start with a focused assessment before committing budget to tools, vendors, or pilots.