What Is IT Support? Tiers, Models & How to Choose

Updated: May 2026

IT support is the practice of helping users keep technology working - covering troubleshooting, maintenance, security, and proactive management of hardware, software, networks, and cloud services. Modern IT support is delivered across 5 tiers (Tier 0 self-service through Tier 4 vendor support) and 6 delivery models (in-house, outsourced, managed, co-managed, remote, and on-site). The right setup for any company depends on size, technical complexity, regulatory exposure, and budget predictability.

This guide walks through every layer in one piece.

TL;DR: IT Support in 2026

• What it does: six core functions - troubleshooting, system maintenance, user provisioning, security and patching, network and infrastructure ops, knowledge management.
• The 5 tiers: Tier 0 (self-service/AI), Tier 1 (basic help desk), Tier 2 (technical support), Tier 3 (expert/engineering), Tier 4 (external vendor).
• The 6 delivery models: in-house, outsourced, managed (MSP), co-managed, remote, on-site - plus a 24/7 service-level option layered on top.
• Typical 2026 cost: managed IT support runs $90-$200/user/month for SMBs and $50-$120/user/month at scale. Outsourced hourly runs $75-$150/hr. In-house depends on local salaries plus a 1-tech-per-50-to-75-user staffing ratio.
• How to pick: under 25 employees, managed wins on cost and coverage. 25-200 employees, co-managed is the sweet spot. Above 200 or in regulated industries, in-house plus vendor escalation usually makes more sense.

What Is IT Support?

IT support is the function that keeps end users, applications, networks, and infrastructure running for a business. It's the discipline of identifying technology problems, resolving them, and preventing the next batch. It spans frontline ticket handling (Tier 1), deeper troubleshooting (Tier 2), engineering-grade root-cause work (Tier 3), and vendor or self-service layers around the edges.

A working IT support function handles six things:

1. Troubleshooting - diagnosing and fixing reported problems with devices, apps, accounts, and connectivity.
2. System maintenance - patching, firmware updates, performance tuning, scheduled reboots, hardware refresh.
3. User provisioning - onboarding/offboarding, account access, group membership, device setup, license assignment.
4. Security and compliance - endpoint protection, identity management, vulnerability patching, audit trails, incident response.
5. Network and infrastructure operations - LAN/WAN, Wi-Fi, VPN, firewalls, servers, virtualization, cloud workloads.
6. Knowledge management - documentation, runbooks, knowledge base articles, training material - so the same problem doesn't get solved from scratch twice.

A typical week for a mid-market IT support team: 40-60 password resets, 25 device setups or refreshes, 10-15 network or connectivity tickets, 5-10 application configuration tickets, a handful of security alerts, ongoing patch cycles, and at least one production-impact incident that pulls in Tier 3.

IT support vs help desk vs service desk vs tech support. These get used interchangeably but they're not the same thing. The help desk is the front line - Tier 1 ticket handling for end-user issues. The service desk is broader: help desk plus service-request fulfilment plus IT process management (per ITIL). IT support is the umbrella term that includes the service desk plus Tier 2/3 engineering, network ops, security, and proactive maintenance. Tech support usually refers to consumer or product-specific help (helping a customer use your product) rather than internal business technology. Most US businesses use "IT support" as the working term.

Types of IT Support Services

The IT support stack covers six layers that map to different problems and different skill sets:

End-User Support

Day-to-day device, account, and application help for the people doing the work. Password resets, software installs, printer issues, MFA enrollment, mobile-device support, email configuration. Owned by Tier 1 and Tier 2 with self-service handling the long tail.

Help Desk and Service Desk Support

The ticketing-and-routing function that processes every inbound request. A help desk handles incident tickets. A service desk handles incidents plus service requests (new laptop, software license, access change) plus problem management.

Network Support

LAN, WAN, Wi-Fi, VPN, firewalls, switches, routers. Connectivity uptime, network performance, traffic shaping, segmentation, secure remote access. Increasingly overlaps with cloud networking (SD-WAN, SASE).

IT Infrastructure Support

Servers (physical or virtual), virtualization platforms (VMware, Hyper-V, Proxmox), storage, backup infrastructure, on-prem identity (Active Directory), and the cloud equivalents. The deeper plumbing the help desk depends on.

Cloud and SaaS Support

Microsoft 365, Google Workspace, AWS, Azure, GCP, plus the long tail of business SaaS - Salesforce, HubSpot, Slack, Atlassian, ERP/CRM stacks. Account management, licence optimization, integration setup, security configuration.

Cybersecurity Support

Endpoint detection and response (EDR), email security, identity management (Okta, Entra), vulnerability scanning, patching cadence, phishing-simulation training, incident response, compliance reporting. Increasingly the largest workload growth area for IT support functions, especially in regulated industries.

Backup, Disaster Recovery, and Business Continuity (BCDR)

Backup schedules, restore testing, recovery time objectives (RTO) and recovery point objectives (RPO), DR drills, failover plans. The work that turns "we have backups" into "we can actually recover."

The 5 IT Support Tiers Explained

IT support is structured into tiers so that simple issues get resolved fast at low cost and complex issues escalate to people who can solve them. Most US teams run a 5-tier model: T0 through T4. Atlassian, ServiceNow, and the HDI framework all use variants of this structure.

Tier 0 - Self-Service and AI

Knowledge base articles, FAQ pages, AI chatbots, password-reset portals, automated provisioning. The goal: deflect tickets before a human touches them. Typical deflection rate in 2026: 15-30% of total inbound, with mature programs hitting 40%+. Tools: ServiceNow KB, Confluence, agentic AI assistants, self-service portals built into ITSM platforms.

Tier 1 - Basic Help Desk

The frontline. Password resets, account unlocks, account creation, basic software installs, common how-to questions, simple device issues. Average ticket time: 8-15 minutes. Staffing ratio: roughly 1 Tier 1 analyst per 50-75 supported users in well-tooled organizations, lower in less automated ones. Resolution rate at Tier 1 (without escalation) is a leading KPI: 70-80% is healthy, below 60% means the knowledge base or training is broken.

Tier 2 - Technical Support

Deeper troubleshooting. Software configuration issues, complex device problems, application-specific support, mid-level network issues, escalations from Tier 1. Average ticket time: 30 min to 4 hours. These are technicians who can interpret logs, follow runbooks, and work with vendor documentation. Often the rotation slot where Tier 1 analysts grow into engineering tracks.

Tier 3 - Expert / Engineering Support

Root-cause analysis, code or server-side fixes, infrastructure changes, security incidents, architecture decisions. Senior engineers and specialists - network, security, cloud, database, identity. Average ticket time: 4-72 hours depending on complexity. Tier 3 also owns problem management (the ITIL practice of finding root causes after multiple incidents) and runs the post-mortem process. This tier is the most expensive seat in the org and the hardest to hire.

Tier 4 - External / Vendor Support

OEM support, software vendor support, specialist consultants, escalations to manufacturers. When the problem is in someone else's product and only they can fix it: Microsoft, Apple, Cisco, VMware, Salesforce. Tier 4 is paid via vendor contracts (premier support, enterprise support agreements) and typically has its own SLAs.

Tier Comparison Table

Threads on r/sysadmin and r/ITManagers consistently land in the same place on this structure: the tier boundaries matter less than enforcing them. The fastest IT teams have tight escalation criteria (a Tier 1 analyst knows exactly when to escalate to Tier 2, and Tier 2 doesn't get pulled into Tier 1 work). The slowest teams skip tiers entirely and everything ends up on the senior engineer's plate.

IT Support Delivery Models

The tiers tell you what the work is. The delivery model tells you who does it and where they sit. There are six common models in 2026, plus a 24/7 service-level option that layers on top of any of them.

In-House IT Support

A salaried IT team employed directly by the business. Pros: institutional knowledge, instant context, direct cultural alignment, control over tooling and process. Cons: higher cost per supported user at small scale, recruiting overhead, narrow skill coverage (a 3-person team can't be expert in everything from networking to cloud to security), vacation/sickness coverage gaps.

When it fits: over ~200 employees, regulated industries (banking, healthcare, defense) where data control matters, technology-first companies where IT capability is a competitive edge, businesses with deep custom systems that require ongoing development.

Outsourced IT Support

External provider handles IT support on hourly, block-hour, or project terms. Pros: flexible, no headcount commitment, broad skill availability via the provider's bench. Cons: less context, slower response than on-site staff, hourly billing can blow up on busy months, weaker incentive to fix root causes (each fix is billable).

When it fits: very small businesses (under 25 employees), seasonal businesses with uneven IT demand, project work (migrations, refreshes, audits), companies in transition where the IT model isn't settled.

Managed IT Support (MSP)

A Managed Service Provider takes ongoing responsibility for some or all of a company's IT under a per-user-per-month contract. Pros: predictable cost, proactive monitoring and patching, broad skill coverage, 24/7 NOC typically included, security and tooling baked in. Cons: slower change cadence (vendor pace, not yours), commodity service unless you've picked a good MSP, can feel impersonal at scale. For context on what an MSP actually delivers under the hood, see what an MSP platform is.

When it fits: small to mid-market businesses (10-250 employees) that need full IT capability without building it in-house, growing companies that want to delay hiring an IT director, companies that need compliance and security tooling but can't justify dedicated headcount.

Co-Managed IT Support

A hybrid where in-house IT staff handles the day-to-day work and an external provider fills specific gaps: after-hours coverage, specialist skills (security, cloud, M365), surge capacity for projects, escalation backup. Pros: keeps institutional knowledge in-house while extending team depth, more economical than full in-house at mid-market scale, retains control while offloading what doesn't make sense to build. Cons: requires clear scope (who owns what), can blur escalation paths if not documented.

When it fits: the 25-200 employee window almost universally, especially companies with a 1-3 person in-house IT team that needs depth without growing payroll.

Remote IT Support

Support delivered from anywhere via remote tools - screen sharing, remote control, chat, video, ticket portal. Pros: lower cost than on-site, faster response than dispatched techs, available across geographies. Cons: can't fix hardware issues, network outages, or anything requiring physical hands. Toolkit: RMM platforms (NinjaOne, Datto, ConnectWise, Atera), remote-control tools (TeamViewer, ScreenConnect, Splashtop), ITSM ticketing.

When it fits: the default mode for 90%+ of help-desk and Tier 2 work in 2026. Hybrid workforces, distributed offices, and remote-first companies operate almost entirely on remote support.

On-Site IT Support

Technicians physically present at the office. Pros: handles hardware refreshes, network installs, server work, regulated environments where data can't leave the premises, executive support. Cons: highest cost per ticket, geographic constraint, idle time between hands-on work.

When it fits: manufacturing floors, healthcare facilities, financial trading desks, retail point-of-sale rollouts, large hardware refreshes, regulated industries with strict data residency.

24/7 IT Support (Service-Level Add-On)

Round-the-clock coverage layered on top of any model above. Delivered via follow-the-sun teams, managed-provider NOCs, or AI-driven Tier 0 with on-call escalation. Cost: typically adds 30-50% to a managed-IT contract.

When it fits: e-commerce businesses, healthcare and 911-adjacent services, global teams across time zones, industries with regulatory uptime requirements (financial trading, payment processors).

Delivery Model Comparison Table

How Much Does IT Support Cost in 2026?

IT support pricing varies wildly by model, region, and complexity. Here's what to expect in the US in 2026:

In-House IT Support Cost

The variables: salary band per role × staffing ratio × tooling. Median 2026 US salaries:

• Tier 1 / IT support specialist: $58,000-$72,000 base
• Tier 2 / IT technician: $70,000-$95,000 base
• Tier 3 / Senior engineer or systems administrator: $95,000-$145,000 base
• IT manager / director: $130,000-$190,000 base

Staffing ratio: 1 technician per 50-75 supported users in well-tooled organizations. Less mature shops hit 1 per 25-40. Add 25-35% for benefits and overhead. Add tooling: $40-$100/user/month for an ITSM platform, RMM, EDR, and the rest of the stack.

For a 100-employee business: ~2 technicians + 1 senior engineer + tooling lands around $300,000-$450,000/year all-in, or $250-$375/user/month.

Outsourced IT Support Cost

Hourly rates: $75-$150/hr for general IT work, $150-$250/hr for specialist (cloud, security, network engineering). Block-hour packages typically discount 10-20% on volume. Project work (migrations, audits, refreshes) usually quoted flat.

Managed IT Support Cost

The standard model. Per-user-per-month pricing in 2026:

• SMB (under 50 users): $125-$200/user/month
• Mid-market (50-250 users): $90-$150/user/month
• At scale (250+ users): $50-$120/user/month

Variability: included tooling (EDR, M365 management, backup), service-level (business hours vs 24/7), industry compliance overhead (HIPAA, PCI, SOX add 15-30%), and project work treatment (bundled vs separate).

Co-Managed IT Support Cost

Typically $50-$100/user/month on top of in-house team cost. Scope is narrower than full managed: usually after-hours, specialist skills, tooling, security, or specific project work.

24/7 IT Support Add-On

Adds 30-50% to any of the above. Some MSPs price 24/7 as a tiered upgrade; others as a flat per-user fee.

Hidden Costs to Budget For

The line items most companies underestimate when scoping IT support:

• Onboarding - first 30-60 days of discovery, documentation, tooling deployment
• Projects - migrations, upgrades, refreshes priced separately from MSU
• Tooling pass-through - per-user licenses for security, backup, M365 management
• Training - certifications, vendor courses, ongoing skill development
• Compliance overhead - audit prep, evidence collection, control documentation

For a deeper look at where IT spend tends to leak, our breakdown on reducing IT costs covers the audit framework most companies skip.

IT Support by Industry

Different industries hit different walls. The common need is uptime and security; the difference is which compliance regime, which line-of-business software, and which devices dominate.

Healthcare IT Support

HIPAA compliance is non-negotiable. EHR support (Epic, Cerner, Allscripts, athenahealth) is the dominant workload. Mobile devices, medical IoT, and segmented networks add complexity. Healthcare IT support typically commands a 20-30% premium over generalist managed services because of the compliance overhead and the need for BAA agreements with every vendor in the stack.

Legal IT Support

Confidentiality, document management (NetDocuments, iManage), e-discovery, time-and-billing systems (Clio, PCLaw), conflict-checking. Law firm IT support runs heavy on email security, secure file transfer, and identity management. Smaller firms (under 25 attorneys) typically buy managed; mid-size firms (25-200) co-manage.

Financial Services and Accounting IT Support

SOX, FINRA, PCI compliance. Tax software (UltraTax, Lacerte, ProSeries, Drake), ledger and ERP systems, secure email, encrypted file sharing. IT support for accounting firms runs in cycles - heavy load during tax season (Jan-April) and tighter capacity after. Financial services IT support requires audit-trail rigor that most generalist providers don't have.

Construction IT Support

Field devices (rugged tablets, mobile phones), construction-management software (Procore, Autodesk Construction Cloud, Buildertrend), Wi-Fi extension to job sites, intermittent connectivity. IT support for construction has to handle a different mix: less office-based, more field-deployed, more BYOD and shared devices.

Manufacturing IT Support

OT/IT convergence - factory-floor systems (MES, SCADA, PLCs) increasingly touching IT networks. ERP (SAP, Microsoft Dynamics, NetSuite). Network segmentation between production and corporate networks is critical. IT support for manufacturing requires uptime SLAs the average MSP can't deliver - downtime on a production line costs thousands per minute.

Nonprofit IT Support

Tight budgets, donor-management systems (Salesforce NPSP, Blackbaud, Bloomerang), grant-funded infrastructure cycles, mixed device populations. Nonprofit IT support pricing usually accommodates discounted licensing (TechSoup) and pro bono hours from MSPs. Co-managed is common.

Education IT Support

LMS systems (Canvas, Schoology, Google Classroom), classroom devices (Chromebooks dominate K-12, mixed in higher ed), CIPA compliance, student data privacy (FERPA). IT support for education tends to spike during back-to-school and exam periods. K-12 districts often run hybrid: small in-house team plus an MSP for specialist work.

Dental and Medical Practice IT Support

Practice-management software (Dentrix, Eaglesoft, Open Dental for dental; AdvancedMD, Kareo for medical), imaging systems (CBCT, intraoral scanners), HIPAA. Dental IT support tends to be a smaller-ticket version of healthcare IT - fewer integrations, but the same compliance overhead. Managed is the dominant model.

Hospitality and Restaurant IT Support

POS uptime (Toast, Square, Lightspeed, Aloha), kitchen display systems, kiosk maintenance, guest Wi-Fi, PCI compliance on payment terminals. Restaurant IT support is high-volume, high-frequency, with a strong on-site component for hardware. Multi-location restaurant groups typically run managed with on-site dispatch.

Architecture and Engineering Firm IT Support

CAD/BIM workstations (AutoCAD, Revit, ArchiCAD), large-file collaboration, high-performance storage, render farms. IT support for architects requires understanding how design workflows actually run - file lock contention, version control across distributed teams, GPU-heavy workstation support.

How to Choose the Right IT Support Setup

There's no universally best model. The right one depends on four factors. Score yourself honestly on each.

1. Company Size and Growth Trajectory

Size sets the cost-efficiency math. Under 25 employees, the fixed cost of even one in-house technician outweighs anything an MSP charges per user. Above 200, the math flips - dedicated in-house staff become cheaper per user than MSP pricing. The 25-200 band is where co-managed wins.

Growth trajectory matters too: a company growing 30%/year shouldn't commit to in-house hiring during the growth phase, because the model that fits 50 people will break at 150. Managed and co-managed scale more cleanly.

2. Technical Complexity and Uptime Needs

A 50-person SaaS startup with cloud-only infrastructure has different needs than a 50-person manufacturer with a factory floor. Score complexity across: number of locations, network sophistication, line-of-business software depth, hardware variety, integration count.

Uptime needs map to SLA tier: business-hours-only is one model, 24/7 is 30-50% more, sub-15-minute response on tier-1 issues is more again. Don't pay for an SLA your business doesn't need.

3. Compliance and Data Sensitivity

HIPAA, PCI, SOX, FINRA, GDPR, HITRUST, CMMC, ISO 27001 - each compliance regime forces specific controls and audit trails. If you're regulated, the providers who don't have a documented compliance practice are non-starters. In some industries (defense, classified work, certain financial services), the only legal answer is in-house plus vendor escalation.

4. Budget and Predictability

Some businesses can absorb variable monthly bills; others need predictable line items. Managed and co-managed give predictability. Hourly outsourced doesn't. In-house gives the most control over spend but the highest fixed cost.

Quick Decision Rules

These map most businesses to a starting answer:

• Under 25 employees, non-regulated: managed IT support
• 25-200 employees, mixed industry: co-managed (in-house generalist + MSP specialists)
• Above 200 employees, regulated or highly technical: in-house + vendor escalation, with co-managed for specific gaps
• Tech-first / SaaS / engineering-heavy: in-house with on-call vendor support
• Single-location, hardware-heavy (manufacturing, medical, hospitality): managed with on-site dispatch
• Distributed workforce, no central office: remote-first managed or co-managed

These are starting points, not endpoints. The decision matrix - size × complexity × compliance × budget - should land each business in a model, then a procurement exercise refines the specific provider or hiring plan.

Best IT Support Software in 2026

The software stack behind IT support has consolidated. Most teams run one ITSM platform (ticketing + KB + change management), one RMM (endpoint monitoring + remote control), one EDR (security), and a remote-support tool. Picking the ITSM platform is the highest-leverage decision because it shapes every workflow downstream.

What to look for in IT support software:

• Ticketing with intelligent routing and SLA management
• Knowledge base with version control and analytics
• Self-service portal with chatbot/AI capabilities
• Asset management / CMDB
• Integrations with M365, Slack, Teams, identity providers
• Reporting and dashboards (MTTR, FCR, ticket volume, deflection rate)
• Mobile app for technicians
• Open API for custom workflow
• Compliance and audit features

IT Support Software Comparison (2026)

For a deeper comparison including AI capabilities, integrations, and consolidation potential, see our 10 best ITSM software platforms compared.

IT Support Best Practices

Seven practices separate IT support teams that scale gracefully from ones that drown when headcount grows:

Build the Knowledge Base Before You Scale Headcount

Every ticket that gets solved should produce a KB article (or update an existing one). Mature programs deflect 30-40% of inbound at Tier 0 through self-service - that's the difference between needing one tech per 50 users and one per 100.

Define and Publish SLAs

Response time, resolution time, escalation thresholds. Per priority class. Per service. Make them visible to users so expectations match reality. SLAs that exist only in a contract and not on a dashboard don't shape behavior.

Measure the Right KPIs

The IT-support KPIs that actually predict performance:

• MTTR (Mean Time to Resolve) - by tier and priority
• FCR (First-Contact Resolution) - target 70-80% at Tier 1
• CSAT - quick post-ticket survey, target 85%+
• Ticket volume per analyst per day - 15-30 is healthy
• Cost per ticket - tracked by tier
• T0 deflection rate - target 25%+

Automate the Repetitive

Password resets, account provisioning, common diagnostics, group memberships. Anything that follows a script should not consume a human ticket. Modern ITSM platforms automate this natively; legacy stacks need scripts and integrations.

Standardize on a CMDB

A Configuration Management Database that tracks what depends on what. Without it, change management becomes guesswork and root-cause analysis takes 5x longer.

Invest in Continuous Training

Certifications - ITIL 4 Foundation, HDI Support Center Analyst, CompTIA A+ - signal competence and teach the vocabulary that escalations need. Pick one cert per career stage rather than chasing breadth: Foundation by year two, a Specialist or HDI cert by year four, a senior credential by year seven.

Use AI Thoughtfully

Agentic AI for triage, smart routing, draft replies, KB summarization. The trap is treating AI as the resolution layer instead of the assist layer - escalating an AI-generated misdiagnosis to a senior engineer wastes more time than skipping the AI step. Use AI where the cost of a wrong answer is low; keep humans where context matters.

2026 Trends Shaping IT Support

Five shifts changing how IT support gets delivered this year:

1. Agentic AI ticket triage and resolution. LLM-driven agents handle classification, routing, draft responses, and resolution of simple Tier 1 categories. Self-service deflection rates above 30% are becoming table stakes; mature programs hit 45%+.

2. Cybersecurity load pushing more SMBs to managed and co-managed. The security stack (EDR, MDR, vulnerability management, identity, email security, compliance) is now too complex for most in-house IT teams under 50 staff to run alone. The math favours offloading to providers with security as a specialty.

3. Hybrid work permanence means remote support dominates. On-site IT support shrinks to specific use cases (hardware refresh, large installs, regulated environments). Default delivery is remote-first with on-site dispatch when needed.

4. ITSM and ITOM consolidation onto unified platforms. ServiceNow, Atlassian, Freshworks, and Microsoft are converging operations and service management into single panes. Tool-stack reduction is a real cost lever in 2026 - the average mid-market IT team can drop 3-5 tools by consolidating onto a single ITSM/ITOM platform.

5. Outcome-based pricing inching into managed contracts. A few MSPs are experimenting with pricing on resolution outcomes (tickets closed, uptime hit, security events contained) rather than seats. Still niche, but the direction of travel.

Frequently Asked Questions

What is IT support, in simple terms?
IT support is the practice of helping users keep their technology working. It covers troubleshooting, maintenance, security, and proactive management of hardware, software, networks, and cloud services - usually delivered through a tiered team or an outsourced provider.

What are the levels (tiers) of IT support?
Most teams use 5 tiers: Tier 0 (self-service / AI), Tier 1 (basic help desk - password resets, common how-to), Tier 2 (technical support - deeper troubleshooting), Tier 3 (expert / engineering - root cause, infrastructure), and Tier 4 (external vendor support).

What's the difference between IT support and a help desk?
"Help desk" is the front line - Tier 1 ticket handling for end-user issues. "IT support" is the broader function that includes the help desk plus Tier 2/3 engineering, network ops, security, and proactive maintenance.

What's the difference between IT support and tech support?
In business contexts the terms are mostly interchangeable, but "tech support" often implies consumer or product-specific help (helping a customer use your product), while "IT support" usually refers to internal business technology services.

How much does IT support cost per user per month?
Managed IT support typically runs $90-$200/user/month for SMBs and $50-$120/user/month at scale. Co-managed setups average $50-$100/user/month on top of your existing team. Outsourced hourly rates run $75-$150/hr. In-house pricing depends on local salaries plus a 1-tech-per-50-to-75-users staffing ratio.

Should I outsource IT support or hire in-house?
Under 25 employees, outsourced or managed almost always wins on cost and coverage. From 25-200 employees, co-managed (in-house generalist + MSP specialists) is the sweet spot. Above 200, or in regulated industries with sensitive data, in-house plus vendor escalation usually makes more sense.

What is managed IT support?
Managed IT support is a contracted relationship where a Managed Service Provider (MSP) takes ongoing responsibility for some or all of your IT - typically billed per user per month - covering monitoring, help desk, patching, security, and proactive maintenance.

What is co-managed IT support?
Co-managed IT support is a hybrid model where your in-house IT team is supplemented by an external provider for specific functions - after-hours coverage, specialist skills (cybersecurity, cloud), or surge capacity for projects.

What software do IT support teams use?
Core stack: an ITSM / help-desk platform (ServiceNow, Jira Service Management, Freshservice, Zendesk), an RMM tool (NinjaOne, Datto, ConnectWise), a knowledge base, a CMDB, and remote-control / screen-share. Many teams also run monitoring (Datadog, SolarWinds) and EDR for security.

What is 24/7 IT support?
24/7 IT support means coverage every hour, every day - usually delivered through follow-the-sun staffing, a managed provider's NOC, or an automated Tier-0 layer with on-call escalation. It typically adds 30-50% to a managed-IT contract price.

What is proactive IT support?
Proactive IT support uses monitoring, automation, and AIOps to find and fix issues before users report them - patching, capacity warnings, anomaly detection, scheduled maintenance. The opposite is reactive ("break-fix") support that only acts after a ticket arrives.

What does an IT support specialist do?
An IT support specialist (Tier 1-2) handles user-facing tickets - diagnosing problems, fixing software and account issues, setting up devices, maintaining documentation, and escalating to senior engineers when needed. Median US salary is around $58,000-$72,000 depending on region and tier.

Pick the Model, Then the Provider

The right IT support setup isn't the most sophisticated one. It's the one that matches the company's size, complexity, compliance reality, and budget without forcing growth-stage businesses to commit to a model that will break at the next scale jump. Most companies over-buy on tier sophistication and under-buy on knowledge management and security. Most providers sell the model they're best at delivering, not the model the buyer actually needs.

Work the four-factor framework. Score honestly. Pick the model first. Then run a focused procurement against three providers in that model - not eight providers across three models. The math gets clearer fast.