Estimate how much your institution saves by automating tier-1 IT support tickets with purpose-built AI agents.
On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network.
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Tier-1 IT support tickets — password resets, account unlocks, software FAQs — consume enormous staff time and budget. With ibl.ai's Agentic OS, institutions deploy purpose-built AI agents that resolve these tickets instantly, 24/7, without vendor lock-in. Use this calculator to estimate your annual savings.
Total tier-1 support tickets your team handles each year before AI automation.
Total annual staff cost to manually resolve all tier-1 tickets at your current handle time and hourly rate.
Number of tier-1 tickets resolved autonomously by the AI agent each year, requiring no human intervention.
Total labor cost saved by automating tier-1 ticket resolution with AI agents.
Your real bottom-line savings after subtracting the annual AI platform cost. This is the ROI your institution captures.
Percentage return on your AI platform investment. A positive ROI means the platform pays for itself and generates surplus savings.
| Segment | Metric | Typical | With AI |
|---|---|---|---|
| Higher Education (5,000–20,000 students) | Tier-1 ticket share | 60–70% of all tickets | 75–85% AI resolution rate |
| Enterprise (1,000–5,000 employees) | Cost per tier-1 ticket | $8–$22 per ticket | $1–$3 per ticket with AI deflection |
| Community Colleges | Monthly ticket volume per 1,000 users | 150–300 tickets | 40–60% reduction in human-handled tickets |
| Corporate Training Departments | Help desk FTE ratio | 1 FTE per 500 employees | 1 FTE per 1,200–1,500 employees |
| K-12 Districts | Password reset ticket share | 30–45% of all tickets | 95%+ AI resolution rate for password resets |
This calculator estimates annual cost savings by multiplying your total monthly ticket volume by the fraction classified as tier-1, then applying your AI resolution rate to determine how many tickets are fully deflected from human agents each year.
Deflected ticket savings are calculated by multiplying deflected ticket count by average human handle time (converted to hours) and the fully-loaded hourly agent rate. Net savings subtract the annual AI platform cost to reflect true ROI.
ROI is expressed as net savings divided by platform cost. All inputs use conservative industry defaults. Actual savings may be higher when accounting for after-hours coverage, reduced escalation overhead, and improved agent retention.
ibl.ai is the agentic AI platform where you own all the code and the data. You self-host the entire stack inside your own perimeter, run it model-agnostic across any LLM and switch anytime, and pay by usage with no per-seat pricing — so you can deploy anywhere: your cloud, on-premise, GovCloud, or fully air-gapped.
Full source code under a perpetual license, running on your infrastructure. Not API access to someone else's platform — the stack itself is yours.
Run any LLM — Claude, GPT, Gemini, Llama, Command, or your own fine-tune — and switch providers without rewriting the platform.
Usage-based billing against a budget cap you set. Cost tracks what your organization actually uses, not how many people you employ.
Your cloud, your VPC, on-premise, GovCloud, or a fully air-gapped network with no outbound connectivity.
1.6M+ users across 400+ organizations run the platform this way, including NVIDIA, MIT, and Syracuse University.
ibl.ai is family-owned and operated from New York, NY — a U.S.-headquartered, domestically-owned long-term partner, not a vendor that sells licenses and moves on.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.