TCI Technologies

IT Support That Just Works, for Long Island & NYC Businesses

Managed IT, cybersecurity, Microsoft 365 & AI for growing organizations across Long Island, NYC and the Tri-State area. Fast fixes, strong security and a real person to call. Trusted since 2003.

⭐ 4.9 Rating

from 84 Google reviews

Since 2003

serving local businesses

Long Island & NYC

plus NJ, CT and worldwide

A Real Person Answers

no phone trees, no hold times

Why TCI

We’re Here to Help You Grow, Not Just Fix Computers

Technology is moving faster than ever. AI, Copilot, cloud and new security threats seem to change every month. Keeping up shouldn’t be your job. It’s ours.

At TCI, we’re not looking for a quick sale or just another contract. Since 2003, we’ve been the team businesses call first: people who know your business, answer the phone right away and tell you honestly what you need, from everyday IT support to cybersecurity and Microsoft 365 and AI. When you grow, we grow with you.

Honest advice in action: when we move clients from aging servers to Microsoft 365, there are no more servers for us to manage, so their monthly cost with us goes down. They also end up more secure, with less to maintain and an easier way to work. That’s the kind of recommendation we’ll always make.

Friendly service agent using computer and talking to customer in call centre.

We Answer the Phone

A real person, right away. No phone trees, no hold times.

Your Success Is Our Success

We measure ourselves by how well your business runs, not by tickets closed.

Honest Advice

We’ll tell you what you need and what you don’t, even when it means a smaller invoice.

Ready for What’s Next

We keep up with AI, Microsoft 365 and security, so you can focus on your business.

What We Do

One local team for everything your business runs on.

Managed IT Services

Help desk, monitoring, maintenance and IT strategy, as your complete IT department or alongside your team.

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Cybersecurity

Layered protection, monitoring, email security and staff training to keep threats out.

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Microsoft 365

Migration, SharePoint, Teams, Intune, Entra ID, security and backup, managed end to end.

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AI

Platform-neutral AI advice for Copilot, ChatGPT, Claude and Gemini, with governance built in.

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Cloud & Backup

Cloud services, backup and disaster recovery so your data is always recoverable.

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Phones, Wi-Fi & Projects

Business phone systems, wireless networks, cabling and office moves.

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See all services →

Results for Clients Like You

Law Firm

Microsoft 365 Copilot rollout

A law firm adopted Copilot securely, with permissions and governance in place first.

Read the case study →

Village Government

Proactive cybersecurity

A New York village strengthened security with testing, monitoring, training and backup.

Read the case study →

CPA Firm

Secure work from anywhere

An accounting firm gave staff secure access to client files from office or home.

Read the case study →

See all case studies →

Not Sure Where to Start?

Need better IT support?

See where your IT stands and get a clear per-user quote.

Get a Free IT Assessment

Thinking about switching?

We know it can feel overwhelming, so we wrote a guide to exactly how it works.

See How Switching Works

Ready for Microsoft 365 & AI?

Get your readiness score for Microsoft 365, Copilot and AI in about 3 minutes.

Take the Free Assessment

Rated 4.9★ by 84 businesses on Google

Here’s what our clients say about working with TCI.

★★★★★

“The company I work for uses TCI to manage our computers and technical needs. Everyone there is always very helpful and patient especially with assistance on the remote connections. Kenita always solves any issues I have without any follow up and I highly recommend her and her team.”

Lindsay W.
Google review

★★★★★

“Great experience working with this IT company! Their team was professional, responsive, and resolved our issues quickly and efficiently. The process was smooth from start to finish, and their customer service was excellent. Highly recommend for anyone looking for reliable IT support.”

Keith W.
Google review

★★★★★

“Very friendly and knowledgeable of my questions. Patience of a saint. TCI and its team have proven to be a valuable investment for our organization. I ask questions and they are addressed in a timely manner.”

Elsa R.
Google review

Recent Posts

Windows Server 2016 End of Support Is Coming: Is It Time to Move Your File Server to SharePoint?

If your organization is still running Windows Server 2016, now is the time to plan what comes next.

According to Microsoft’s product lifecycle, Windows Server 2016 extended support ends January 12, 2027. After that date, it no longer receives the regular security updates, bug fixes and technical support of the standard lifecycle. Microsoft has also announced Extended Security Updates (ESUs) as a temporary option for organizations that need more time, while recommending a move to a current Windows Server release or another supported platform.

For many small and midsize businesses, though, Windows Server 2016 end of support shouldn’t automatically mean buying another physical server. It’s a chance to ask a more important question.

Do We Still Need This Server?

Many Windows Server 2016 systems were originally installed for:

  • Shared company files and mapped drives
  • Active Directory
  • Business applications
  • QuickBooks, Sage or other accounting software
  • Print services
  • Backup
  • Remote access
  • Application databases

Some of those workloads may still need a server. Others may not. If your server’s main job today is giving employees access to shared Word documents, Excel spreadsheets, PDFs, project files and department folders, moving those files to Microsoft SharePoint and OneDrive may be a better long-term strategy than replacing it with another file server.

Why Consider SharePoint Instead of Another File Server?

Traditional file servers were built for employees working in the office and opening files from mapped drives like F:\Company Files or J:\Job Files. Today, people need information from the office, home, job sites, client locations and phones.

Access Files From Anywhere

Instead of connecting back to the office server, authorized users can securely reach SharePoint documents through Microsoft 365. For organizations with multiple offices, remote staff or field workers, that removes a major dependency on the physical office.

Better Collaboration

With SharePoint and Microsoft 365, teams can work on documents together instead of creating Proposal-Final.docx, Proposal-Final-v2.docx and Proposal-Final-REALLY-FINAL.docx. That means fewer duplicate files and clearer visibility into what’s current.

Less Physical Infrastructure

An on-premises file server comes with server hardware, Windows Server licensing, storage, backup, UPS equipment, warranties, server-room space, remote access and ongoing maintenance. Moving the right file workloads to SharePoint can reduce that burden. It doesn’t mean eliminating every server. It means checking whether each workload still belongs there.

SharePoint Is Not Simply a File Server in the Cloud

A successful SharePoint migration isn’t copying every mapped drive into one giant document library. TCI recommends reviewing four things first:

  • Folder structure: years of use leave duplicate data, obsolete files and folders nested ten levels deep. Migration is the time to clean up.
  • Permissions: who needs access? What’s company-wide, departmental or confidential? Are old permissions still appropriate? Those answers become a cleaner SharePoint security model.
  • Data: not everything should move. Identify obsolete, duplicated and temporary files first.
  • Architecture: instead of mirroring the old server, design SharePoint around how your organization works: company resources, accounting, HR, operations, projects, sales and management.

But Not Everything Belongs in SharePoint

SQL databases, line-of-business applications, some accounting and legacy ERP systems, application servers and software that requires traditional mapped-drive (SMB) access may still need Windows Server, Azure or another supported platform. That’s why the first step should be a Windows Server 2016 assessment, not just a file migration. Microsoft itself recommends inventorying server roles, applications, users, certificates, DNS, remote access, backups and integrations before migrating.

Which Workloads Belong Where
Workload Likely best home
Shared company and department files SharePoint
Individual working files OneDrive
User accounts and sign-in Microsoft Entra ID
SQL databases and line-of-business apps Windows Server 2025 or Azure
Legacy accounting or ERP software Windows Server 2025 or Azure (check vendor support)
Software that requires traditional mapped drives Windows Server 2025 or Azure
Backups Modern cloud and/or immutable backup

What Are Your Windows Server 2016 Options?

There isn’t one right answer for every organization:

Option 1: Upgrade to Windows Server 2025

If you still need on-premises infrastructure, supported workloads can move to Windows Server 2025, Microsoft’s current release.

Option 2: Move Workloads to Microsoft Azure

Some server workloads fit better in Azure than on new hardware, especially if you want to reduce on-site equipment or need cloud availability.

Option 3: Move File Services to SharePoint and OneDrive

Ideal when your server mainly stores and shares documents. SharePoint becomes home for shared organizational and departmental information; OneDrive is for each person’s working files.

Option 4: Use a Hybrid Approach

Often the right answer: company files in SharePoint, personal files in OneDrive, identities in Microsoft Entra ID, legacy apps on Windows Server 2025 or Azure, and modern cloud or immutable backups. The goal isn’t to be “100% cloud.” It’s putting each workload where it makes the most sense.

Option 5: Extended Security Updates

If an application can’t move before January 12, 2027, ESUs can provide critical security updates for a limited time. They’re a bridge, not a modernization strategy: no new features, and not a long-term replacement for a supported platform.

Your Windows Server 2016 Options, Side by Side
Option Best for Keep in mind
Upgrade to Windows Server 2025 Workloads that truly need on-premises servers Still requires hardware, licensing, backup and maintenance
Move workloads to Microsoft Azure Reducing on-site hardware while keeping server-based apps Ongoing cloud costs; needs right-sizing and good connectivity
Move files to SharePoint & OneDrive Servers used mainly for shared documents Needs a cleanup and permissions plan, not a straight copy
Hybrid approach Most small and midsize businesses Each workload goes where it fits best
Extended Security Updates (ESU) A short bridge while you finish migrating Temporary: security fixes only, no long-term solution

Don’t Wait Until January 2027

A server migration isn’t something to plan the week before support ends. Start by answering:

  1. Which Windows Server 2016 systems are still running?
  2. What roles does each server perform?
  3. Which applications depend on it?
  4. What data is stored there, and who has access?
  5. What can move to SharePoint or OneDrive?
  6. What still requires Windows Server?
  7. Should remaining workloads stay on-premises or move to Azure?
  8. How is the environment backed up today?
  9. What needs testing before the old server can be retired?

The earlier you answer these, the more options you have.

Turn End of Support Into an Opportunity to Modernize

Windows Server 2016 end of support doesn’t have to be another forced upgrade. It’s a chance to check whether decisions made five, eight or ten years ago still make sense. A business that once needed several servers may now run on Microsoft 365 + SharePoint + OneDrive + Entra ID + Azure + modern cybersecurity + cloud backup. Others will still need on-premises servers, and that’s perfectly reasonable. What matters is deciding based on today’s requirements, not replacing a server just because that’s what happened last time.

How TCI Technologies Can Help

TCI helps Long Island and NYC organizations prepare for Windows Server 2016 end of support with a practical modernization plan, including server discovery and assessment, application and workload review, file-server assessment, SharePoint migration planning, permissions design, OneDrive migration, Microsoft 365 and Entra ID planning, Windows Server 2025 and Azure migration, backup and disaster recovery, cybersecurity modernization and legacy server retirement. Already have an IT team? We can support the project through co-managed IT.

Still Running Windows Server 2016?

January 12, 2027 is approaching. Don’t wait until end of support to discover what depends on your server. Schedule a Windows Server 2016 & modernization assessment with TCI Technologies, or call us at (516) 484-5151.

Windows Server 2016 support ends January 12, 2027. Should you upgrade, move to Azure, or migrate your file shares to SharePoint? Here’s how to decide.
Is Your Business Ready for Microsoft 365 Copilot? A Readiness Checklist

Microsoft 365 Copilot can save your team hours every week, drafting emails, recapping meetings, summarizing documents and finding information across Microsoft 365. Turning it on is easy. Turning it on safely takes some preparation.

Here’s what Microsoft 365 Copilot readiness means, what to check before rollout, and how Long Island and NYC businesses can get it right the first time.

Why Copilot Readiness Matters

Copilot Sees What Users Can See

Copilot works within each person’s existing access. If a salary spreadsheet or HR folder is shared too widely, Copilot can summarize it for anyone who has access, even if they never knew it was there.

Old Sharing Links Add Up

Years of “anyone with the link” shares, forgotten guest accounts and overly broad team sites are common, and Copilot makes all of it much easier to find.

Licenses Are an Investment

Microsoft 365 Copilot is a paid add-on for each user, so it pays to start with the people and roles who will get the most value from it.

Results Depend on Adoption

Without training and clear guidelines, many people try Copilot once and give up. A planned rollout turns curiosity into real time savings.

Copilot Without Readiness vs. With Readiness
⚠️ Turned on without preparation ✅ Rolled out after a readiness review
Sensitive files HR, salary and financial files surface for anyone with access Permissions tightened so sensitive data stays with the right people
Sharing links Years of “anyone with the link” shares become easy to find Old links and unused guest access cleaned up
Licensing Licenses bought for everyone, many unused Licenses start with the roles that benefit most
Adoption People try it once and give up Training and guidelines turn curiosity into real time savings
Governance No rules about what goes into prompts A simple AI usage policy everyone understands

The Microsoft 365 Copilot Readiness Checklist

Before rolling Copilot out broadly, review these areas:

Microsoft 365 Copilot Readiness Checklist
Area What to check Why it matters
SharePoint Site permissions and broadly shared libraries Copilot can summarize anything a user can open
OneDrive “Anyone with the link” and external shares Forgotten links expose files to the wrong people
Microsoft Teams Team membership and guest users Guests may see more than intended
Microsoft Entra ID Accounts, MFA and inactive users Copilot is only as secure as each sign-in
Licensing Current plans and Copilot eligibility Avoid paying for licenses nobody uses
Sensitive data Where HR, financial and client data lives Lock down the files that matter most first
Policies AI acceptable use and data handling rules Employees need to know what’s off-limits

A Practical Four-Step Path to Copilot

1. Review Access & Sharing

Review who can access what across SharePoint, OneDrive and Teams, and identify overshared files, old sharing links and unused guest accounts.

2. Clean Up & Tighten

Fix permissions, remove outdated access and tidy up sites, so sensitive information stays with the right people before Copilot goes live.

3. License & Pilot

Decide who gets Copilot first, handle the licensing, and start with a small pilot group to prove the value before a wider rollout.

4. Train & Set Guidelines

Provide hands-on training plus a simple AI usage policy, so your team knows how to get good results and what information to keep out of prompts. After rollout, ongoing AI governance keeps users, licenses, security settings and policies on track.

Common Questions About Copilot Readiness

Do we really need to prepare before turning on Copilot?

We strongly recommend it. Copilot doesn’t change who can see what, but it makes anything people can already access far easier to find. Cleaning up first is the simplest way to avoid surprises.

How long does getting ready take?

It depends on how many users, sites and files you have, and how much tidying is needed. An initial review produces a clear plan and timeline before any work begins.

Which Microsoft 365 plans work with Copilot?

Microsoft 365 Copilot is available as an add-on for most Microsoft 365 business and enterprise plans. Licensing changes often, so check your current plans before buying.

Is our company data used to train Microsoft’s AI?

Microsoft states that your prompts and business data in Microsoft 365 Copilot aren’t used to train its underlying AI models, and that Copilot respects your existing security and compliance settings.

See It in Action

Read how a law firm rolled out Copilot safely: How a 50-Person Law Firm Put Microsoft 365 Copilot to Work, Safely.

Is Your Organization Ready for Copilot?

Find out in minutes with our free Microsoft 365 & AI Readiness Assessment. Ready to move forward? See how TCI helps with Microsoft 365 Copilot consulting, readiness, deployment and training, or call us at (516) 484-5151.

Turning on Microsoft 365 Copilot is easy. Turning it on safely takes preparation. Here’s the readiness checklist every business should review first.
AI ROI: Businesses Are Spending More, But Are They Seeing a Return?

AI ROI is becoming a bigger priority as artificial intelligence moves from experiment to serious business investment. From AI assistants to automated workflows, organizations are finding new ways to incorporate these tools into their work.

But as AI becomes a regular business expense, an important question is emerging: Is the investment actually paying off?

Measuring AI ROI isn't as simple as counting how many employees use AI or how many hours they save. Businesses need to understand what they're spending, what they're gaining, and whether those improvements are making a measurable difference.

Research shows why this matters. A 2025 MIT Project NANDA study found that only a small percentage of the enterprise AI pilots examined delivered rapid revenue growth. Meanwhile, Deloitte's October 2026 research found that 81% of surveyed companies reported faster decision-making and execution, but only 28% reported revenue gains.

The takeaway? Using AI and getting measurable business value from AI are two different things.

From AI Adoption to AI ROI

For the last few years, businesses have focused on securely adopting AI: Which platforms should we use? Where can we introduce automation? How do we get employees started?

Now, the conversation is shifting toward results. Businesses are asking different questions:

    • What business problem are we trying to solve?
    • What does that problem cost us today?
    • Where can AI deliver measurable value?
    • How will we know if the investment is paying off?

A 2026 CIO survey found that fewer than one in five respondents said their AI initiatives had met or exceeded business goals. Challenges included unclear ROI metrics, a lack of an AI strategy, and limited in-house expertise.

Today's conversation isn't simply about adopting AI. It's about making sure the investment delivers meaningful results.

The True Cost of AI Goes Beyond Licensing

Most businesses can easily identify their monthly AI subscription costs. But licensing is only one part of the investment.

Depending on how AI is used, additional expenses may include:

    • Implementation and integration: Connecting AI tools to existing applications, data, and business processes.
    • Employee training: Helping teams use AI effectively and understand its limitations.
    • Security and oversight: Protecting sensitive information, managing access, and reviewing AI-generated work.
    • Usage-based costs: Paying for AI processing or automated interactions that increase with activity.
    • Ongoing management: Monitoring performance, maintaining integrations, and making adjustments as business needs change.

AI Tokens and Usage-Based Costs

Some AI platforms charge based on usage, often measured in "tokens," which represent pieces of text processed by the system. While individual interactions may cost very little, expenses can grow as businesses automate document processing, customer service, reporting, and other routine tasks.

A 2026 article in MIT Technology Review highlights the importance of looking beyond the cost of AI usage and considering the cost per useful business outcome.

According to research cited by Computing, 51% of surveyed CIOs expected AI to increase their total technology costs rather than reduce them.

That doesn't mean AI isn't worth the investment. It means businesses need to understand the full cost before expanding their use of it.

Why Time Saved Doesn't Always Translate Into AI ROI

One of AI's biggest selling points is productivity. But saving time doesn't automatically mean saving money.

Consider an employee who spends two hours preparing a weekly report. With AI assistance, that same report takes 45 minutes. That's 75 minutes saved each week. But what happens to that extra time?

If the employee can serve more customers, complete additional projects, or take on more billable work, the business may see a measurable financial benefit. If nothing else changes, the return is much harder to demonstrate.

This helps explain why employees may feel more productive while business leaders struggle to see the financial impact.

Looking Beyond Hours Saved

A 2026 Wharton and GBK Collective study, reported by Forbes, found that 80% of enterprise leaders reported positive AI returns, but only 28% described them as strongly positive. Hours saved remained the most common way to measure AI ROI.

Of course, productivity gains can have benefits beyond immediate financial returns, including less repetitive work, faster access to information, and improved employee satisfaction.

The key is understanding what happens to the time saved and whether it creates measurable value for the business.

What Should Businesses Measure?

Not every AI initiative is designed to increase revenue directly. Some are intended to reduce administrative work, improve accuracy, or help employees respond to customers faster.

The right metrics depend on the business problem you're trying to solve.

⚠️ What many businesses measure ✅ What actually shows ROI
Number of AI licenses purchased Cost per business outcome
How many employees use AI Improvements in specific workflows
Hours saved (self-reported) Additional capacity put to productive use
Number of AI tools deployed Reduced processing time or errors
The overall AI bill Cost per completed task or transaction

Different industries may measure AI success in different ways:

    • Accounting firms: Reduced document review time, fewer errors, and increased capacity during busy periods.
    • Construction companies: Faster access to project documents, less administrative work, and fewer delays.
    • Law firms: More efficient internal research, improved document review, and faster turnaround times.
    • Nonprofits: Less time spent preparing grant reports and more resources available for programs and services.
    • IT Teams: Faster ticket resolution, easier access to documentation, and improved help desk efficiency.

What Makes an AI Investment Worthwhile?

Not every workflow offers the same potential return. Before investing in AI, businesses should consider how often a task is performed, whether the process is clearly defined, and how the improvements will be measured.

Factor ✅ Stronger ROI potential ⚠️ Lower ROI Potential
Volume Frequent, high-volume, repetitive work Occasional, one-time tasks
Data Organized, accessible, and properly permissioned Scattered across servers, inboxes, and personal drives
Process Clearly defined and measurable Inconsistent or undefined
Baseline Current time and cost are known No baseline to compare against
Time saved Redirected to customer or billable work Absorbed with no change in output
Users Specific roles with clear use cases Licenses purchased for everyone “just in case”
Security Approved tools and proper controls Unapproved tools and unclear policies

These factors don't guarantee a positive return, but they can help businesses identify where AI is most likely to deliver measurable value.

How to Calculate AI ROI

Once you've identified a promising use case, the next step is determining whether the benefits justify the investment.

Start by measuring how the workflow performs today. Consider the time required, number of tasks completed, labor involved, error rates, and overall operating costs. These figures provide a baseline for evaluating improvements after AI is introduced.

The basic AI ROI formula is:

AI ROI (%) = (Financial Benefits − Total AI Costs) ÷ Total AI Costs × 100

An Example of AI ROI in Practice

Imagine an accounting firm introduces an AI tool to help employees research and summarize client documents.

After several months, the firm measures the following results:

    • Employees save a combined 10 hours per week.
    • The firm values that additional capacity at $50 per hour.
    • Over 52 weeks, that represents $26,000 in potential annual value.
    • AI licensing, implementation, training, and ongoing management cost $8,000 annually.

If the firm can turn all that additional capacity into measurable financial value, its potential annual ROI would be:

($26,000 − $8,000) ÷ $8,000 × 100 = 225%

Of course, this is a hypothetical example. The actual return depends on how the saved time is used. If the firm doesn't generate additional revenue, reduce expenses, or achieve another measurable financial benefit, its realized ROI could be considerably lower.

The important distinction is between potential productivity gains and financial results.

Start Small, Measure Results, Then Expand

Businesses don't need to introduce AI across every department to see value. Starting with a smaller, well-defined project can make it easier to evaluate the results before committing additional resources.

A practical approach includes:

  1. Identify a specific opportunity. Choose a workflow where AI could make a meaningful difference.
  2. Establish a baseline. Document current performance, including time, cost, and quality.
  3. Test the solution. Introduce AI to a small group of employees with a clearly defined use case.
  4. Evaluate the results. Compare performance before and after implementation, including accuracy, costs, and any additional work required.
  5. Expand where it makes sense. If the benefits justify the investment, consider applying the solution to additional workflows.

Not every employee needs premium AI tools. Start with the roles and workflows most likely to benefit, then expand when the results justify the cost.

Why AI Governance Matters for ROI

Even when AI improves productivity, poor oversight can introduce security risks, unexpected expenses, and other challenges that reduce its overall value.

Employees may already be using AI tools without their organization's approval. A 2026 Flexable report found that 57% of respondents had used AI applications their employers hadn't approved, a practice often called "shadow AI." This raises concerns about sensitive business information, customer data, and intellectual property.

Effective AI governance helps businesses establish approved tools, clear usage policies, appropriate access controls, and human oversight. It also provides a way to monitor AI spending and usage.

Protecting your AI investment means managing both its benefits and its risks. Learn more about TCI's Managed AI Governance services.

Making AI Investments Work for Your Business

Getting value from AI takes more than purchasing software. It requires choosing the right opportunities, understanding the costs, and evaluating the results.

Choosing the right platform is part of the equation. Businesses also need reliable data, appropriate security controls, and a clear understanding of how AI will fit into their existing operations.

At TCI Technologies, our AI Advisory Services help organizations assess AI opportunities, compare platforms, and plan implementation. Whether you're considering Microsoft Copilot, another AI platform, or workflow automation, we help you make informed decisions about where to invest.

Is Your Business Ready for AI?

Before investing in more AI tools, make sure you understand where they can deliver the greatest benefit. TCI can help you evaluate your AI readiness, identify opportunities, and develop a practical approach to implementation, security, and ROI.

Take our free AI Readiness Assessment or contact a TCI AI advisor to discuss your organization's goals.

Companies are investing heavily in AI, but many struggle to prove the return. Here’s why, and how to build an AI strategy focused on measurable ROI.

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