Dynamics 365
Power Platform
Azure
Microsoft Copilot & AI
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.
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.
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.
How AI Ready Works
Three focused steps. Fixed scope. A real decision at the end, not a recommendation to keep spending.
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Validate Reality
Review data, security, and governance as they actually exist in your environment. No assumptions, no skipped steps.
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Prioritize Value
Identify AI use cases tied to real business processes, not demos. Rank them by readiness and impact.
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Deliver a Decision
Provide a clear, documented recommendation: proceed, pause, or stop, with rationale your executive team can act on.
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.
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
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:
You are here. Make AI safe, grounded, and worth deploying.
Deploy AI into a specific business process with measurable ROI.
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.
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.
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.
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?
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?
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?
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. 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?
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?
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.