Outcome in Numbers

Enterprise AI readiness with
clarity and speed

Solutions

Turning AI ambition
into an executable roadmap

We evaluate technology, data, governance, and organizational alignment to
remove uncertainty and define a clear, defensible path to production of AI.

Enterprise AI readiness
assessment

  • Assess maturity across infrastructure, data, governance, talent, and strategy
  • Conduct targeted stakeholder interviews and technical diagnostics
  • Benchmark readiness against industry standards

Readiness gaps and
risk identification

  • Identify data, security, governance, and capability gaps
  • Surface risks that commonly stall AI initiatives
  • Prioritize issues by impact and urgency

AI use case
prioritization

  • Identify high-impact, feasible AI use cases
  • Separate quick wins from longer-term initiatives
  • Align opportunities to business outcomes

Roadmap and executive
alignment

  • Develop a prioritized 12–18 month AI readiness roadmap
  • Define phased workstreams and milestones
  • Align executives and delivery teams on sequencing and priorities
Why Gruve

Built for enterprise
AI reality

Gruve’s AI Readiness Review is grounded in real-world AI deployments, not theoretical maturity models. We focus on what is required to safely operationalize AI at scale.

Structured and defensible
by design

Our AI readiness assessment framework aligns enterprise governance, security, and compliance requirements, producing outputs that stand up to executive, audit, and regulatory scrutiny.

From diagnosis
to action

We do not stop at assessment. Gruve translates readiness findings into a practical roadmap with embedded quick wins, so organizations realize value while building long-term AI capability.

FAQs

1. What is an AI Readiness Assessment?

An AI Readiness Assessment is a structured assessment that evaluates an organization’s preparedness to adopt AI across technology, data, governance, talent, and strategy.

2. How is this different from application modernization?

The AI Readiness Assessment focuses on enterprise-level readiness and planning. Application modernization focuses on upgrading specific applications and codebases to support AI.

3. How long does the AI Readiness Review take?

Most engagements complete within 4–6 weeks, with initial findings delivered in the first 2 weeks.

4. What do we receive at the end of the engagement?

You receive a clear readiness assessment, prioritized gap analysis, and a 12–18 month AI implementation roadmap with defined milestones and recommendations.

5. Who should participate in the review?

Executive sponsors, technology leaders, data teams, and business stakeholders involved in AI strategy and delivery.

Unlock your true
speed to scale 

Enable scalable, secure, and measurable AI execution in production.