Outcome Before Implementation
Every engagement starts with defined business impact, not technical exploration.
AI That Delivers Business Outcomes
As a Microsoft Solutions Partner, TrellisPoint delivers AI through a disciplined, three-stage model that aligns Copilot to your data, processes, and governance framework — reducing risk, accelerating measurable ROI, and embedding AI into daily operations.
AI Doesn’t Fail Because of Technology
Most AI projects don’t fail outright—they lose momentum because goals, data, processes, and governance aren’t clear. TrellisPoint turns AI into a disciplined, outcome-driven business capability, reducing risk before cost and credibility are at stake.
Data Readiness First
AI is only as reliable as the data behind it. We validate, structure, and align it before deployment.
Responsible Deployment
Governance, security, workflow integration, and stakeholder ownership embedded from day one.
Three Offers. One Proven Path.
Our AI Delivery Model is intentionally sequential. You can engage at any stage — but skipping steps increases risk, cost, and complexity. We’ll be upfront about that. This is how organizations move from AI interest to real, sustained business value.
Copilot Ready™
Make AI Safe, Grounded, and Worth Deploying
A fixed-scope readiness engagement that determines whether Microsoft Copilot can actually deliver value in your environment.
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Validated data, security, and governance readiness
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Prioritized, high-value use cases
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A clear go / no-go recommendation
$15K–$25K fixed
AI Process Accelerator™
Deploy AI Into One Real Business Process — End to End
A fixed-fee implementation that embeds AI into a single, clearly defined business process to deliver measurable outcomes without sprawl.
- AI live in a real workflow
- Measurable business impact
- A repeatable pattern for future AI expansion
Starting at $40K
Copilot Ops™
Deploy AI Into One Real Business Process — End to End
A fixed-fee implementation that embeds AI into a single, clearly defined business process to deliver measurable outcomes without sprawl.
- AI live in a real workflow
- Measurable business impact
- A repeatable pattern for future AI expansion
$5K–$10K / month
Proven ROI from Microsoft 365 Copilot
Measured across small and mid-sized organizations using Microsoft 365 Copilot, based on independent Forrester Total Economic Impact™ research.
353%
Up to Three-Year ROI (Forrester Total Economic Impact™ Study)
$955K
Up to Net Present Value(Composite 200-Employee Organization)
25%
Faster Onboarding (New Hire Ramp Acceleration)
Ready to Get AI Right?
AI projects fail when they’re misaligned with business goals, not because they’re too ambitious. We help you pinpoint where AI can deliver measurable value, identify gaps and risks, and create a practical, outcome-focused roadmap that makes AI a lasting business capability.
- Clarify Where to Start
- Avoid Costly Missteps
- Build for Long-Term Value
Frequently Asked Questions
How is your AI Delivery Model different from a typical AI implementation?
Most AI projects begin with tools and experimentation. Our model starts with business outcomes, data readiness, governance, and process alignment. We treat AI as an operational capability — not a proof of concept — so it delivers measurable impact and can scale responsibly.
Do we need mature data to begin?
You don’t need perfection — but you do need clarity. We assess data structure, ownership, and quality early in the process. If gaps exist, we address them before deployment to prevent unreliable outputs and stalled adoption.
What kinds of AI initiatives do you typically support?
We focus on practical, high-impact use cases within Microsoft’s ecosystem — including Copilot enablement, AI agents, workflow automation, forecasting, operational intelligence, and decision support scenarios tied directly to measurable business outcomes.
How long does an engagement typically take?
Timelines vary based on scope and readiness. Initial strategy and readiness phases are typically measured in weeks, not months. Delivery timelines are defined clearly up front to ensure controlled execution and predictable outcomes.
How do you manage risk and governance?
Governance is built into the delivery model from day one. We define ownership, establish usage guardrails, align to security and compliance requirements, and ensure AI outputs are monitored and accountable — protecting both operational integrity and organizational credibility.
Download the AI Delivery Model Guide
Complete the short form to receive the full guide outlining our structured approach to secure, scalable AI adoption.