One clearly defined business process
Scope is fixed before work begins. Ownership, inputs, and expected outcomes are documented and agreed upon.
Stage 2 of 3 AI Value Engine
AI Process Accelerator: Deploy AI Into One Real Business Process
A fixed-fee implementation that embeds AI into a single, clearly defined business process, delivering measurable outcomes without sprawl, rework, or guesswork.
The Problem
Why AI Deployments Fail to Deliver Business Impact
Most organizations aren't short on AI ideas. They're short on AI outcomes. The difference isn't the technology. It's the lack of process discipline, clear ownership, and a commitment to finishing one thing before starting the next.
Scope
What the AI Process Accelerator Delivers
This is not a strategy engagement or a proof of concept. It's a production-ready implementation, scoped tightly so it can be completed with confidence and measured from day one.
AI embedded within existing workflows
We work inside your current Microsoft environment, not alongside it. No parallel systems, no shadow tools.
User adoption and change enablement
Deployment includes the people side. Users are trained, supported, and set up to actually use what gets built.
KPI definition and baseline measurement
We define success before we start. Every engagement establishes metrics tied to real business outcomes, not usage stats.
Production-ready deployment
This goes live. It's tested, validated, and handed off with documentation, not parked in a sandbox.
A repeatable AI pattern
The first process establishes the foundation. Future expansions follow the same model, faster and with less risk.
Our Process
How the AI Process Accelerator Works
Three focused steps. Fixed scope. A live deployment at the end, not a recommendation to keep spending.
Important: This engagement assumes readiness has already been validated. If it hasn't, we'll tell you and recommend starting with AI Ready first.
1 — Lock the Process
Scope is fixed to one process. Ownership, inputs, and outcomes are clearly defined before any configuration begins.
2 — Deploy AI End to End
Configure, test, train, and deploy AI into production, not a demo environment. Real users, real data, real workflows.
3 — Measure What Matters
Establish KPIs that tie directly to business outcomes. Cycle times, manual effort, quality, not seats or logins.
Outcomes
Designed for Measurable Business Impact
AI Process Accelerator is intentionally constrained. One process, done right, produces results that are visible, defensible, and repeatable. That constraint is what makes it reliable.
- Faster cycle times within the targeted process
- Reduced manual effort and improved consistency
- Higher output quality through AI-assisted workflows
- A proven pattern your organization can scale from
- Executive-ready metrics from day one of production
Industry Applications
Where the AI Process Accelerator Is Most Effective
Any organization with a well-defined, repeatable business process is a fit. These are the industries where we most commonly see immediate, measurable impact.
Manufacturing
Operations, supply chain visibility, and production reporting. Processes with high volume and clear outputs benefit most.
Construction
Project delivery workflows, document management, and RFI handling, where delays and manual effort are the norm.
Financial Services
Case handling, analysis workflows, and compliance documentation. Structured processes with measurable cycle times.
SaaS & Technology
Internal operations, support workflows, and knowledge management, where AI can reduce noise and improve consistency.
Why TrellisPoint
Your Trusted AI Implementation Partner
TrellisPoint is a Microsoft Solutions Partner with a disciplined, outcome-based delivery model. We don't bill for effort. We don't run experiments. We implement, measure, and hand off.
One-process rule, no sprawl
We scope to one process and finish it. That discipline is what separates a successful deployment from an ongoing engagement with no end.
Fixed fee, fixed scope
You know what you're getting and what it costs before we start. No change orders for scope that should have been defined upfront.
Microsoft-first architecture
Every implementation is built on Microsoft's security and governance model, not workarounds that create technical debt.
Production over pilots
We don't build demos. Everything we deliver is intended to go live, be used by real people, and produce real results.
The AI Value Engine
Stage 2 of a Three-Stage Path
AI Process Accelerator is the second stage of TrellisPoint's AI Value Engine. Organizations that complete it have validated readiness behind them and a production deployment in front of them, with a clear path to Stage 3 for organizations ready to scale.
If you haven't completed AI Ready, we'll tell you. Skipping readiness doesn't speed things up. It moves the risk forward to a moment when it's harder to absorb.
Get Started
Ready to Move AI Into Production?
Schedule a conversation to determine whether you're ready to deploy AI into a real business process and which process will deliver the most value first. This is a qualification and scoping conversation, not a sales pitch.