Concrete ai readiness services built for enterprise leaders
Most organizations know AI is a priority. Few know exactly where their data, infrastructure, and team stand today. Your assessment gives leadership the evidence to act with confidence.
Your AI investment should not start without this
What happens when organizations skip the readiness phase:
AI pilots fail after six months
The underlying data was never clean or structured enough to support the model. Discovered after budget is spent.
Governance problems surface at the worst moment
Compliance and regulatory gaps identified only after deployment. Remediation costs more than prevention.
Board pressure meets team uncertainty
Leadership demands an AI roadmap. The team has no evidence base to build one from and no way to prioritize use cases.
Budget spent on the wrong use case first
High-visibility AI projects chosen before foundational ones that would have unlocked three times the downstream value.
What your AI readiness assessment gives you instead:
A scored data infrastructure review
Know exactly which data assets are AI-ready and which gaps need to close before any model can run.
A prioritized 12-month AI roadmap
Use cases ranked by feasibility, data availability, and revenue impact. Ready to present to your board from day one.
A governance and risk control framework
Compliance boundaries, data privacy requirements, and monitoring protocols built into the deliverable, not added later.
Team capability and skills gap analysis
Know exactly what roles to hire, what to build internally, and what your implementation partner should cover.
How ready is your organization for AI?
Select every statement that reflects your organization today. Your score updates in real time. Use this as a starting point for your strategy call.
Your readiness score
Select items below to measure your organization's AI readiness across six dimensions.
Data and Infrastructure
AI Strategy and Alignment
Team and Capability
Technology Stack
Use Case Clarity
Risk and Governance
Every dimension your enterprise AI readiness assessment covers
Six structured workstreams. One integrated deliverable. A document your leadership team can present, act on, and return to.
Data Infrastructure Audit
A 360-degree review of your data assets, pipelines, quality scores, and access architecture. You receive a full picture of what is AI-ready today.
AI Strategy Alignment
Map AI opportunities directly to your business goals, revenue priorities, and existing transformation agenda. No generic frameworks applied to your situation.
Technology Gap Analysis
A detailed review of your current technology stack against what AI deployment actually requires. Concrete gap findings, not a vague upgrade list.
Governance and Risk Framework
Compliance boundaries, data privacy requirements, and monitoring protocols designed for your sector and built into every recommendation from day one.
Use Case Validation
Score and prioritize your AI opportunities by data availability, technical feasibility, and revenue impact. Focus budget on what will actually work in your environment.
12-Month AI Roadmap
A prioritized action plan with milestones, owners, dependencies, and return on investment validation checkpoints. Structured to present directly to your board.
10 days
Full assessment turnaround
4 to 6 hours
Your team's total time investment
Scoped first
Line-by-line pricing before any work starts. No commitment required to receive a proposal.
What organizations do after the assessment
Apparel and Retail Enterprise
Data TransformationWhat they do
A multi-region apparel and retail organization managing complex inventory, customer payment behavior, and multi-ERP reporting across business units.
The problem
The organization had no clear visibility into unpaid invoices and customer behavior across ERP systems. Reporting was fragmented, reactive, and time-consuming. Leadership could not prioritize recovery efforts with confidence.
The solution
A centralized analytics model was built with predictive segmentation logic. High-risk and high-opportunity accounts were surfaced automatically. Data governance and key performance indicator standardization were built in from the start, creating an infrastructure ready for the next phase of AI deployment.
Capabilities applied
- Data infrastructure assessment and consolidation
- Predictive analytics design and modeling
- Customer segmentation analytics
- Revenue recovery dashboards with governance layer
The result
improvement in targeting and recovery effectiveness
reduction in reporting and analysis time
The analytics infrastructure built during this engagement became the foundation for the client's next phase: AI-driven demand forecasting and churn prediction.
From first call to delivered roadmap in 10 days
Every assessment follows the same five-phase process. Each phase has a defined output. Click any phase to see what gets produced.
Discovery and Scoping
Day 1 · 45-minute stakeholder call
Data Infrastructure Scan
Days 2-4 · Async review and scoring
Capability Gap Analysis
Days 5-7 · Workshop and gap matrix
AI Roadmap Design
Days 8-9 · Use case prioritization
Governance Handoff
Day 10 · Deliverable walkthrough
Phase 1 output: Discovery brief
Phase 2 output: Data quality scorecard
Overall infrastructure readiness: Developing · 2 critical gaps identified
Phase 3 output: Gap priority matrix
| Gap area | Severity | Effort |
|---|---|---|
| Pipeline documentation | Critical | 8 weeks |
| Machine learning engineer capacity | High | Hire or partner |
| Product catalog quality | High | 4 weeks |
| Governance policy | Medium | Included in scope |
Phase 4 output: Prioritized roadmap
Phase 5 output: Governance deliverable
Deliverable complete · Ready for board presentation
Where other ai readiness consulting partners write slide decks, we build working roadmaps
Typical large consultancies deliver frameworks and leave your team to translate them into action. Redefine delivers a document your operations team can execute from week one.
Your actual systems get audited, not assumed
Redefine reviews your real data pipelines, API surfaces, and technology documentation before making a single recommendation. We do not apply a generic AI framework to your situation. Every gap and priority is evidence-based.
A complete roadmap delivered in 10 days
Typical large consultancies take six to twelve weeks to deliver an AI strategy document. Redefine completes the full discovery, gap analysis, use case prioritization, and governance framework in 10 business days from your first call. Scoped before work starts.
Governance built into every recommendation
Risk controls, data privacy requirements, and compliance boundaries are not an afterthought. They are designed into the roadmap from phase one. Your governance framework is part of the deliverable, not a separate engagement billed later.
What decision-makers ask before booking
Answered directly. No pitch language.
More questions? Submit a brief and we will answer directly on your discovery call.
An AI readiness assessment evaluates your organization across six dimensions: data infrastructure, AI strategy alignment, team capability, technology stack, use case clarity, and governance readiness. The output is a prioritized roadmap that tells you exactly what to build, fix, or acquire before committing capital to AI. You leave with evidence, not a framework.
Redefine delivers a complete enterprise AI readiness assessment in 10 business days from signed scope. Day one is your discovery call. Days two through seven cover infrastructure scanning and gap analysis. Days eight through ten produce your governance framework and 12-month roadmap.
You need one executive sponsor (typically the CTO or COO) and two to three people with hands-on knowledge of your data systems, current tooling, and business goals. Total time commitment from your team across the full assessment is four to six hours.
You receive a readiness scorecard across all six dimensions, a gap matrix with severity and effort ratings, a prioritized list of AI use cases scored by feasibility and value, a 12-month implementation roadmap with milestones, and a governance and risk control framework tailored to your sector and regulatory context.
No. Many organizations that commission an AI readiness assessment are in the process of building their data function. The assessment tells you exactly what skills, roles, and systems you need, and in what order. You do not need to have everything in place before the assessment starts.
A strategy workshop produces ideas and frameworks. An AI readiness assessment produces evidence. Redefine reviews your actual data pipelines, technology stack, and organizational capability, then gives you a specific, prioritized plan. You leave with a document your leadership team can act on, not a slide deck to revisit in six months.
Who this assessment is built for
A good fit for your organization
Enterprise or mid-market organizations with existing technology infrastructure and at least one active data system
CTOs or transformation leaders with a specific AI investment to justify to their board or executive team
Organizations that have explored AI for three or more months and want to move from exploration to structured commitment
Teams that have experienced a previous AI initiative that underdelivered and want to understand why before investing again
Organizations where data, technology, and compliance decisions affect multiple departments and require a cross-functional view
Not the right fit right now
Early-stage startups with no existing data infrastructure or technology systems to evaluate
Organizations looking for a general AI education session rather than an evidence-based operational assessment
Teams that are not prepared to act on the roadmap within six months of receiving the deliverable
Organizations where no executive sponsor has the authority to allocate resources against the findings
Not sure where you fall? Tell us your situation and we'll be straight with you. Start the conversation.
Your AI strategy call starts here
Tell us about your organization, your current AI thinking, and the systems you are working with. We will confirm scope, timeline, and price before anything moves forward.
Your primary AI priorities and what is driving the urgency now
Your current technology stack and data infrastructure at a high level
The outcomes you need the assessment to produce for your board or leadership team
Brief received.
We will review your situation and reach out within 24 hours to schedule your strategy call. A scoped proposal follows within 3 business days of that call.
Your AI strategy starts with knowing where you stand
No commitment to proceed. No pitch without evidence. Our ai readiness services turn your strategy call into a working session, not a sales meeting.