TVC Consulting Seattle • Microsoft 365 • Azure
AI MODERNIZATION

Practical AI Modernization for Microsoft 365, Azure, and Business Systems

We help established businesses use AI safely inside the systems they already run: Microsoft 365, Azure, SharePoint, Teams, Outlook/email, and legacy line-of-business applications.

25+ years of hands-on IT consulting, now amplified with AI-native execution for cloud cost control, infrastructure cleanup, and business-aligned systems.

Start with a focused review of your systems, data, and AI opportunities.

Use AI to reduce manual work, expose hidden system risk, and modernize without losing control of your data.

25+ years Security-First Microsoft 365 / Azure Cloud Cost Control AI-Assisted QA On-Site in Greater Seattle

What We Do

AI Readiness for Microsoft 365

Permissions hygiene, SharePoint and Teams cleanup, data access review, and practical Copilot guardrails before AI reaches sensitive content.

Secure Custom AI Assistants

Useful assistants grounded in approved business data, with controlled access, auditability, and clear limits on what AI can see and do.

Workflow Automation

Reduce manual drag across email, forms, approvals, reporting, file handling, and handoffs between people and systems.

Legacy System Modernization

Extend the value of older business applications with safer data access, cleaner reporting, and targeted integration with Microsoft cloud tools.

AI-Assisted Azure Engineering

Use AI to accelerate Azure inventory, cost analysis, VM retirement planning, backup cleanup, and resource alignment without losing senior engineering judgment.

AI-Assisted Software QA

Turn essential but repetitive testing into structured test plans, browser-driven checks, defect evidence, and repeatable regression coverage for business systems.

NO AI THEATER

Practical modernization before novelty.

Before AI can help, your systems, permissions, data, backups, and cloud spend need to be understandable and under control. TVC focuses on the operational work that makes AI useful instead of risky.

AI FOR QA

Software testing is essential work. AI makes it affordable to do more of it.

In a Microsoft Business Central migration, TVC used AI-assisted QA to translate business workflows into executable test coverage: customer setup, customer-specific rates, prepaid and collect freight bills, manifesting, posting, printed documents, and report layout verification.

AI helped accelerate the repetitive parts: reading documentation, creating test data, driving browser workflows, checking rate math, logging results, and turning screenshots or PDFs into clear developer-ready defects.

25+

Documented QA runs

Repeatable test logs created a trail of what passed, what failed, what changed, and what still needed developer follow-up.

RECENT WORK

AI-accelerated Azure cleanup that lowers spend.

For an established business running Azure infrastructure, TVC used AI-assisted analysis and hands-on Azure engineering to review virtual machines, backup vaults, storage accounts, WAF posture, and monthly cost drivers.

The work retired stale infrastructure, preserved recovery assets where needed, moved legacy backup archives to lower-cost storage, and produced a clear savings model tied to the company's business goals.

~$800/mo

Projected cloud savings

Savings came from removing unused resources, reducing backup storage waste, and aligning retained Azure assets with real operational value.

Best Fit

TVC is built for established SMBs that depend on working systems, accumulated data, and practical decisions about what to modernize next.

How We Engage

Senior-led architecture with hands-on delivery.

Step 01

Clarity Sprint

1–2 Weeks. We audit your stack, identify the highest-ROI workflow, and define strict success metrics before building anything.

Step 02

Pilot

2–6 Weeks. We ship a functional pilot that solves a specific problem. The goal is to save time or reduce risk immediately.

Step 03

Scale & Govern

Ongoing. We harden the solution, apply governance policies, and expand the pattern to other business units.