05 — AI Implementation
AI that ships. Not AI that demos.
Most AI projects die in the POC phase. We build AI systems that survive production — integrated with your data, embedded in real workflows, and measured by business outcomes, not token counts.
How we engage on AI Implementation
Every AI Implementationengagement at MSG starts with a discovery call, not a slide deck. We listen first, then write a fixed-fee scope with milestones the business can hold us to. We don't run hourly billing, we don't run open-ended retainers, and we don't recognize revenue against deliverables we haven't shipped. The team that scopes the work is the team that builds it — there's no handoff to a junior bench after the SOW is signed.
We work primarily across the Gulf Coast — Texas, Louisiana, Mississippi, Arkansas, and Alabama — with our headquarters in Beaumont, TX. That means on-site work happens whenever the engagement requires it: discovery sessions, system audits, training, and integration go-lives are typically in person. The closer your operation is to the Gulf, the more our regional footprint compounds in your favor.
What We Build
Workflow Automation
Custom AI agents that handle real work — customer intake, document processing, research, triage. Not chatbots. Agents that do things.
Data & Knowledge Systems
RAG pipelines, vector stores, and retrieval systems that let AI actually reason over your proprietary data — securely.
Model Selection & Tuning
Frontier models, open-source, hosted, local — we pick the right tool per workload and tune it until it performs.
Production Deployment
Observability, evaluation, guardrails, and versioning. AI you can trust in front of customers, not just internal demos.
The Outcome
You end up with AI that moves business metrics — revenue, cost, cycle time — not a dashboard of impressive-looking demos that nobody uses after week two.
AI Implementation by Industry
How we apply this across the industries we serve.
AI Implementation — Where We Serve
MSG serves clients across Texas, Louisiana, Mississippi, Arkansas, and Alabama.
AI Implementation — questions we hear
What does AI Implementation mean at MSG?
Deploying AI systems into real business workflows — not demos, production. In practice, that means production-ready AI agents or pipelines, evaluation harnesses, retrieval and data layer, observability and versioning, and team training.
Who is AI Implementation a fit for?
AI Implementation is the right starting point for businesses with a clear use case (intake, research, document processing, triage) and proprietary data that off-the-shelf chatbots can't reason over. If that describes your operation, the engagement starts paying back within the first 90 days.
How long does AI Implementation take?
4–12 weeks per system: 1–2 weeks scoping + evals, 2–6 weeks build, 1–4 weeks production rollout with observability and guardrails. We write the timeline into the SOW, and we don't recognize revenue against milestones we haven't hit.
What does AI Implementation typically cost?
First production system typically $40K–$150K; subsequent systems compound as the data and eval infrastructure is reused. Pricing is fixed-fee per phase — no hourly billing, no surprise overruns. We scope it before we start it.
What's the most common mistake businesses make with AI Implementation?
Shipping demos instead of production — most AI projects die at POC because nobody scoped the eval, monitoring, or failure-mode work. We've watched it happen often enough to flag it on the first call.
Other MSG services
Most engagements pull from more than one of these. Pick the next entry point.