Data readiness and access
Is your data clean, accessible, and structured in a way AI can actually use? We validate what's real before committing to a deployment plan.
Stage 1 of 3 AI Value Engine
AI Ready: Make AI Safe, Grounded, and Worth Deploying
A fixed-scope readiness engagement that helps small and mid-sized organizations determine whether Microsoft AI can actually deliver value before anything is built.
The Problem
Why Most AI Initiatives Stall Before They Start
Most AI initiatives don't fail loudly. They stall. They underdeliver. They quietly get deprioritized, not because the technology doesn't work, but because data isn't ready, processes aren't defined, and governance is an afterthought.
That's why TrellisPoint doesn't just deploy AI. We deliver it as a business capability, using a disciplined readiness process designed to protect your organization before real risk, cost, and credibility are on the line.
Scope
What AI Ready Evaluates
This is not a generic assessment. It's a structured evaluation across the areas most likely to break an AI deployment, reviewed as they actually exist, not as assumed.
Security and compliance alignment
AI surfaces data broadly. We confirm your environment is configured to prevent unintended exposure before anything goes live.
Governance and ownership
Who owns AI decisions in your organization? We identify gaps in accountability before they become adoption failures.
High-value AI use cases
Not every AI use case is worth pursuing. We prioritize based on business value, operational readiness, and realistic impact.
Risk, scope, and complexity factors
We surface the things that increase delivery risk early so you can make an informed go / no-go decision with confidence.
Executive and IT alignment
AI deployments that lack executive sponsorship or IT buy-in rarely succeed. We assess organizational readiness alongside technical readiness.
Our Process
How AI Ready Works
Three focused steps. Fixed scope. A real decision at the end, not a recommendation to keep spending.
Important: AI Ready is designed to earn the right to move forward, not assume it. We will tell you if the answer is to pause or stop.
1. Validate Reality
Review data, security, and governance as they actually exist in your environment. No assumptions, no skipped steps.
2. Prioritize Value
Identify AI use cases tied to real business processes, not demos. Rank them by readiness and impact.
3. Deliver a Decision
Provide a clear, documented recommendation: proceed, pause, or stop, with rationale your executive team can act on.
Why This Matters
Why Readiness Comes Before Deployment
Most organizations begin with AI Ready, not because it's the easiest step, but because it's the safest. Skipping readiness doesn't speed things up. It front-loads the risk and defers the cost to a moment when it's harder to absorb.
- Reduces the risk of failed or stalled deployments
- Accelerates time to value by eliminating avoidable rework
- Gives executives a defensible, evidence-based decision
- Protects IT credibility and organizational trust in AI
- Creates a repeatable foundation for future AI expansion
The AI Value Engine
Stage 1 of a Three-Stage Path
AI Ready is the first stage of TrellisPoint's AI Value Engine. Once the foundation is validated, here's what comes next:
- Stage 2: AI Process Accelerator ›
Deploy AI into a specific business process with measurable ROI.
- Stage 3: Agent Ops ›
Operate and scale AI agents with governance and oversight.
Teams already running Dynamics 365 often arrive at AI Ready after our D365 Accelerators and D365 Evolve, with structured data and real Copilot usage already in place. You can engage at any stage, but skipping steps increases risk, cost, and complexity. We'll be upfront about that.
Why TrellisPoint
Your Trusted Microsoft AI Readiness Partner
TrellisPoint is a Microsoft Solutions Partner with a disciplined, outcome-based delivery model. We don't bill for effort. We deliver completed artifacts and a clear recommendation. If the answer is not to proceed, we'll say so.
Fixed scope. No surprises.
AI Ready is a defined engagement with defined outputs. You know what you're getting before we start.
Microsoft-first architecture
We build on Microsoft's governance and security model, not workarounds. Every recommendation is aligned to how Microsoft AI actually works.
Outcome-based delivery
No billing for activity. We deliver proven artifacts: readiness assessment, use case prioritization, and a go / no-go recommendation.
We tell you when not to proceed
If your organization isn't ready, we say so, with specific, actionable guidance on what needs to change first.
Common Questions
AI Ready FAQ
The questions executives and IT leaders ask before commissioning a readiness engagement. If yours isn't here, ask your TrellisPoint advisor.
How is AI Ready different from a generic AI strategy assessment? It ends in a documented go / no-go decision, not a strategy doc. Built around how Microsoft AI actually works.
AI Ready is not a roadmap deliverable or a slide deck of recommendations. It's a structured evaluation of data, security, governance, and use cases against how Microsoft AI actually behaves in production. The deliverable is a documented go / no-go recommendation your executive team can act on, with specific rationale and, if needed, a concrete remediation plan.
How long does AI Ready take, and how is it priced? Fixed-fee, fixed-scope. Most engagements complete in 4 to 6 weeks. Exact fee confirmed during scoping before signing.
AI Ready is a fixed-fee, fixed-scope engagement. Most assessments complete in 4 to 6 weeks depending on the size of your environment and the number of AI use cases under evaluation. The exact fee is confirmed during a short scoping conversation before signing, so you know the number before committing.
What if the assessment says we're not ready? We tell you specifically what to fix and provide a remediation plan, not a vague "do better" recommendation.
That's a real possibility, and it's part of why this engagement exists. If the answer is not to proceed, we tell you exactly why and exactly what to fix. Data access gaps get named with specific sources. Governance gaps get mapped to the decisions that need to be made. The remediation plan turns "not ready" into "ready in X weeks" with clear next steps, so the readiness work doesn't get lost.
Do we need Microsoft 365 Copilot licenses to do AI Ready? No. Licensing is one of the things AI Ready evaluates, so you don't over-buy or under-buy before deployment.
No. AI Ready is the evaluation that helps you decide whether and where Microsoft AI investments will pay off. Licensing is one of the things we evaluate alongside data, security, and use cases, so you can right-size your Copilot or other Microsoft AI procurement before any large commitment is made.
Can we skip AI Ready if we're already using AI in some form? Sometimes. We'll be upfront if your situation calls for something else.
Possibly. If you've deployed Copilot in a small area but want to expand, AI Ready validates that the foundation supports broader rollout. If you're seeing adoption issues with AI you've already deployed, AI Ready often surfaces why. If your organization is already mature in some areas but has clear gaps elsewhere, a scoped readiness engagement focused on those gaps may be the right move. We'll tell you what fits during scoping.
What deliverables do we walk away with? A documented readiness assessment, a prioritized use-case list, a go / no-go recommendation, and a remediation plan if needed.
Four artifacts: a documented readiness assessment across data, security, governance, and use cases; a prioritized list of high-value AI opportunities matched to your business; a clear go / no-go recommendation with rationale; and, if applicable, a remediation plan that specifies what to fix before proceeding. All of it built to be defensible to an executive audience.
Get Started
Ready to Get AI Right?
Schedule a short conversation to determine whether AI is ready to deliver value in your organization and what to avoid if it isn't. No pitch. No demo. Just a real conversation about where you stand.