Every AI opportunity is evaluated through two lenses

Business value

  • Efficiency and organizational capacity
  • Better decisions and experiences
  • Use of existing technology investments
  • Implementation effort, cost, and adoption
  • Competitive relevance and measurable outcomes

Responsible deployment

  • Data access, confidentiality, and permissions
  • Agent, integration, and workflow actions
  • Output reliability and human oversight
  • Sharing, retention, logging, and accountability
  • Policies, exceptions, and relevant obligations

An AI opportunity is not truly valuable if it is impractical, unreliable, unnecessarily expensive, or creates disproportionate exposure. Our assessment helps leadership evaluate those tradeoffs together.

What We Evaluate

  • Business priorities and AI opportunities: We identify operational challenges and business priorities where AI may improve efficiency, increase capacity, support decisions, or strengthen customer and employee experiences.
  • Existing capabilities and current usage: We develop a high-level view of relevant AI tools, licenses, embedded features, agents, assistants, automations, and current adoption across the organization.
  • Technology and data readiness: We consider whether the organization’s applications, data, integrations, workflows, permissions, and technical foundations can support promising AI opportunities.
  • Access, configuration, and automated actions: We review how relevant AI capabilities are configured, what information they can access, what actions agents and workflows can take, and where appropriate limits or approvals may be needed.
  • Reliability, oversight, and governance: We consider output validation, human oversight, ownership, acceptable-use practices, monitoring, accountability, and related operational safeguards.
  • Opportunity prioritization: We help prioritize potential initiatives based on expected value, cost, effort, readiness, dependencies, adoption requirements, and risk.

What You Receive

  • Executive AI landscape summary: A leadership-ready overview of current capabilities, usage, opportunities, readiness, and material concerns.
  • Prioritized opportunities: Potential AI use cases evaluated according to business value, effort, cost, readiness, dependencies, adoption considerations, and risk.
  • Prioritized risk and readiness findings: Evidence-supported findings concerning the technical, operational, data, access, reliability, and governance factors that may affect successful adoption.
  • Practical AI roadmap: A phased plan connecting recommended opportunities with the foundational improvements and safeguards needed to implement them successfully.
  • Leadership review and next-step discussion: A working session to evaluate tradeoffs, align stakeholders, and determine the most practical path forward.

When to Consider an AI Assessment

An assessment may be appropriate if your organization:

  • Is exploring AI but is unsure which opportunities to prioritize
  • Already has employees or departments using AI without an organization-wide view
  • Is preparing to deploy Microsoft 365 Copilot or another enterprise AI platform
  • Is creating AI agents, assistants, or automated workflows
  • Wants to make better use of AI capabilities already included in existing technology
  • Needs to balance faster adoption with appropriate security, oversight, and accountability
  • Has limited resources and wants to evaluate viability before committing to larger investments

How the Engagement Works

  1. Discovery and initial review: We discuss your business priorities, current AI usage, technology environment, key stakeholders, and assessment objectives.
  2. Focused assessment: We work with authorized business and technical stakeholders to review the relevant capabilities, opportunities, configurations, workflows, governance practices, and available supporting information.
  3. Findings and roadmap: We present prioritized opportunities, readiness and risk findings, and a practical plan for moving forward.

The assessment is tailored to the organization’s size, technology environment, current AI usage, and business objectives.

Centient1 works collaboratively with your internal IT team, MSP, cybersecurity providers, business stakeholders, and qualified advisors. The assessment focuses on the intersection of AI opportunity, technology, data, workflows, configuration, and operational governance.

Recommended improvements may be addressed internally, through existing providers, with Centient1, or through a coordinated combination of resources.