Custom AI systems designed around your workflows, your ticketing structure, and your escalation logic.
WHAT ARE AI AGENTS
AI agents are purpose-built systems designed to handle specific operational tasks inside your MSP. They sit inside your PSA, your communication tools, and your service desk workflows. They read tickets, route calls, flag problems, follow up on SLAs, update clients, and handle dispatch. They do this continuously, consistently, and without the variability that comes with manual processes.
Our AI agents are custom-built systems designed around how your MSP actually operates. Your ticketing structure. Your escalation logic. Your client communication standards. Your SLA requirements. Every agent is scoped, designed, and implemented for a specific workflow inside your specific environment.
AI agents don't replace your team. They handle the repetitive, high-volume, pattern-based work that eats up engineering time and introduces inconsistency. Your team stays focused on the complex problem-solving and client relationships that actually require human judgment.
CORE CAPABILITIES
FEATURED AGENTS
Digital Dispatcher. AI reads new tickets and automatically categorizes, prioritizes, and routes them.
Digital Troubleshooting Assistant. Suggests troubleshooting steps using your KB and past tickets.
AI Ticket Categorization. Analyzes ticket details and assigns the correct category.
AI Ticket Sentiment Analysis. Detects frustration and escalates urgent tickets automatically.
AI Suggested Ticket Responses. Generates troubleshooting guidance for L1 technicians.
AI Skill-Based Ticket Assignment. Routes tickets to technicians based on expertise.
QA Agent. Reviews 100% of tickets for SLA compliance and documentation quality.
Revenue Leakage Agent. Compares PSA data, agreements, and licensing to detect missed billing.
Client Profitability Analysis. Analyzes PSA financial data to surface margin issues.
Finance & Billing Automation. Detects discrepancies between PSA and billing systems.
License Optimization Automation. Identifies unused SaaS licenses across your client base.
Conditional Access Monitoring. Detects and summarizes security policy changes.
Compromised User Response. Disables compromised accounts and revokes sessions.
Security Alert Triage. Prioritizes SOC alerts by risk and context.
Cybersecurity Report Generation. Builds executive-ready security reports automatically.
Security Incident Intelligence. Detects patterns across incidents for proactive defense.
QBR Intelligence Agent. Compiles service metrics and recommendations into client-ready decks.
Self-Service AI Portal. Lets clients run common automated workflows without opening a ticket.
Website Voice Agent. AI-powered voice chat for clients and prospects on your site.
Automated SOP Generation. Generates operational documentation automatically.
AI Workflow Troubleshooting. Analyzes logs and suggests fixes for broken automations.
Natural Language Automation Builder. Builds workflows from plain language prompts.
AI Jinja Copilot. Generates workflow scripting for complex automations.
AI Workflow Documentation. Documents automation workflows as they're built or changed.
Automation Recommendation Engine. Surfaces high-impact automation opportunities from ticket data.
Agentic AI Workflow Orchestration. AI agents trigger and coordinate workflows autonomously.
USE CASES
AI agents aren’t theoretical. They solve specific, measurable problems inside MSP operations. Here are the scenarios where agents produce the most immediate impact.
High-Volume Service Desks Hundreds of tickets a day means engineers spend more time sorting than solving.
How agents solve it: Triage and intelligent routing handle intake automatically, every ticket arrives categorized, prioritized, and assigned. Nothing sits unattended.
Different SLA tiers need different treatment, but manual processes treat everything the same until someone escalates.
How agents solve it: Routing agents factor in client tier and SLA requirements automatically. Proactive escalation before thresholds are breached.
Dissatisfaction builds quietly across slow responses and missed updates before anyone notices.
How agents solve it: Sentiment analysis runs continuously across all client communication and flags tone shifts early. Service managers get the signal before the client makes the call.
More clients and more tickets without hiring at the same rate requires operational leverage.
How agents solve it: Triage, routing, dispatch, updates, and SLA follow-ups all handled by agents. Your team’s time goes to resolution, not overhead.
HOW WE BUILD THEM
Every AI agent’s engagement follows a structured process. We don’t drop in a pre-built tool and hope it fits. We start with your operation, understand the workflow you want to improve, and build the agent specifically for how your environment works.
We map how work actually flows today, where the manual steps are, where time gets wasted, and where inconsistency happens.
After deployment, AI Dedicated Engineers can be engaged for ongoing maintenance, optimization, and expansion. Professional Services builds the agent and gets it into production. Dedicated Engineers keep it running and growing over time.
After deployment, AI Dedicated Engineers can be engaged for ongoing maintenance, optimization, and expansion. Professional Services builds the agent and gets it into production. Dedicated Engineers keep it running and growing over time.
GOVERNANCE AND OVERSIGHT
Every agent has a clearly defined scope of what it handles independently and where it escalates to a human.
Your MSP retains responsibility for oversight of AI-generated outputs in client-facing environments. Human review stays where it matters most.
Covers data handling, access automation, accountability, and human oversight requirements for every agent deployed.
All AI engineering happens from ITBD-owned secure offices within SOC 2 Type II certified facilities.
BUSINESS IMPACT
"IT By Design's AI team automated 40% of our manual workflows. Real AI impact."
- Sean Francis, CEO, Technology Assurance Group
PLATFORMS WE WORK WITH
AI agents are built to work inside the tools your MSP already runs. No separate platforms, no disconnected systems, no additional tools your team has to learn from scratch.
Agents integrate directly with your PSA for ticket data, your RMM for endpoint context, and your communication tools for client interaction. The integration is designed to feel native to your existing workflow, not bolted on.
ENTERPRISE TRUST
We've been doing a lot of AI services for the past three years. The experience brought structure and best practices.
in
AI is evolving fast. It’s critical for peers to bring back ideas that actually work.
in
Everything we’ve done has been high quality, with the right people and content.
in
AI innovation must be paired with strong governance and security.
in
40% of our workflows automated. – That's real AI impact.
in
The AI Accelerator sessions were practical and to the point. I left with a better framework for thinking about AI and a few things I can put to work right away.
in
Tell us which workflows are eating up the most time and we’ll show you where agents make the biggest impact.
Common Questions About AI Agents
A chatbot is a conversational interface that responds to questions. An AI agent is a system that takes action inside your operational workflow. It triages tickets, routes calls, monitors SLAs, generates updates, and handles dispatch. Agents do work. Chatbots answer questions.
Yes. Agents are built and deployed inside your existing PSA, RMM, and communication tools. We support ConnectWise, HaloPSA, Autotask, and other platforms MSPs use. No separate systems required.
It depends on scope and complexity. A targeted agent for a single workflow like ticket triage can be designed, built, tested, and deployed in weeks. A broader agent ecosystem covering multiple workflows takes longer. Timeline expectations are established during scoping before any build work begins.
Yes. Most MSPs start with one or two agents targeting their biggest pain point and expand from there. The architecture is designed to scale, and each additional agent builds on the data and logic already in place.
We design, build, implement, and maintain AI agents. Your MSP retains responsibility for oversight of AI-generated outputs in client-facing environments. Our governance framework defines where agents operate autonomously and where human review is required. Those boundaries are documented and agreed upon before deployment.
Every agent includes error handling, fallback logic, and escalation paths. If the agent encounters a scenario outside its defined scope, it escalates to a human rather than guessing. Monitoring is in place from day one so issues are caught and addressed quickly.
The Digital Dispatcher is a production-ready AI agent product focused on dispatch: call handling, ticket creation, and initial routing. It uses the same underlying capabilities (triage, routing, sentiment analysis) applied specifically to the dispatch workflow. It can be deployed as a standalone product or as part of a broader agent ecosystem.
The QBR Creator is a production-ready AI agent that connects to your PSA and RMM, pulls live operational data, and builds client-ready QBR presentation decks in Gamma automatically. It eliminates the manual data gathering and slide assembly that makes QBR prep one of the biggest time sinks in MSP operations.
AI Agents are intelligent systems that handle specific operational tasks with decision-making capability, like triage, routing, and sentiment analysis. AI Automation focuses on eliminating repetitive manual processes like data entry, status updates, and reporting. Agents think and decide. Automation executes defined sequences. They work together inside the same AI Professional Services practice.
AI Professional Services builds and deploys. For ongoing maintenance, optimization, and expansion, AI Dedicated Engineers provide continuous engineering capacity. The handoff is clean and documented.