Deploy purpose-built AI agents that streamline recruiting, onboarding, benefits, and compliance across your entire research university — without replacing your existing systems.
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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Research universities operate some of the most complex HR environments in any sector. With thousands of faculty, staff, postdocs, and student workers spread across siloed departments, HR teams are overwhelmed by repetitive inquiries, manual workflows, and compliance demands.
From navigating multi-union contracts to managing grant-funded appointments, HR staff spend hours answering the same policy questions instead of focusing on strategic talent initiatives.
Legacy systems like PeopleSoft and Banner hold critical data but offer no intelligent layer to surface it. Staff wait days for answers that an AI agent could provide in seconds — compliantly, consistently, and at scale.
HR staff at large research universities field hundreds of repetitive inquiries weekly — about benefits enrollment, leave policies, and appointment types — leaving no bandwidth for complex cases.
Up to 60% of HR tickets are repeat policy questionsNew hires — especially postdocs and grant-funded researchers — fall through the cracks when onboarding is managed inconsistently across 50+ departments with no centralized AI guidance.
Average onboarding completion takes 3–6 weeks at large universitiesResearch universities must comply with FERPA, HIPAA, Title IX, FLSA, and grant-specific employment rules simultaneously. Manual processes create audit exposure and costly errors.
Non-compliance penalties in higher ed average $1.2M per incidentHiring for tenure-track faculty, research scientists, and clinical staff requires coordinating across deans, department chairs, and compliance officers — a process that drags on for months.
Average faculty hire takes 6–12 months from posting to offerWith multiple benefit tiers for faculty, staff, postdocs, and part-time employees, benefits questions overwhelm HR teams during open enrollment and throughout the year.
Open enrollment generates 3x normal HR ticket volumeA purpose-built AI agent trained on your university's HR policies, union contracts, and compliance documents. Answers employee questions instantly — accurately and consistently — at any hour.
Automated, role-specific onboarding journeys for faculty, staff, postdocs, and student workers. The agent guides new hires step-by-step, tracks completion, and escalates gaps to HR.
Streamline job postings, applicant screening, interview scheduling, and offer letter generation. AI agents coordinate across departments while keeping hiring managers informed in real time.
An AI agent that walks employees through benefit options, compares plans based on personal needs, and surfaces deadlines — reducing call volume to HR during open enrollment by over 40%.
AI-guided performance review workflows that prompt managers with structured templates, track submission deadlines, and surface coaching resources — integrated with your existing HRIS.
Continuous monitoring of employment records against regulatory requirements. AI agents flag missing I-9s, expiring visas, and grant-compliance gaps before they become audit findings.
Map existing HR workflows, audit policy documentation, and connect ibl.ai's Agentic OS to your PeopleSoft, Banner, or Workday instance. Identify highest-impact use cases for Phase 2.
Deploy the HR Policy Q&A agent trained on your institution's handbooks, union contracts, and compliance documents. Launch role-specific onboarding workflows for at least two employee categories.
Activate AI-assisted recruiting coordination and benefits enrollment guidance agents. Integrate with your ATS and benefits platforms. Configure compliance monitoring alerts.
Roll out performance management workflows and conduct a full optimization review. Analyze agent usage data, refine responses, and expand to additional departments or employee types.
Employees email HR and wait 1–3 days for answers to routine policy questions
AI agent answers policy questions instantly, 24/7, with citations to source documents
Inconsistent onboarding checklists managed manually by individual departments
Automated, role-specific onboarding journeys with real-time completion tracking
HR staff overwhelmed with calls during open enrollment; employees confused by plan options
AI agent guides employees through plan comparisons and enrollment steps autonomously
Compliance gaps discovered reactively during audits, creating legal and financial risk
Proactive AI alerts flag missing documents and expiring credentials before deadlines
Hiring managers chase approvals across email chains; candidates wait weeks for updates
AI agent coordinates scheduling, approvals, and communications across all stakeholders
The core platform for building, deploying, and managing purpose-built HR AI agents — integrates with PeopleSoft, Banner, and Workday while keeping all data on your infrastructure.
Automates compliance tracking for certifications, visa statuses, required training completions, and grant-mandated credentials — reducing audit risk across the university.
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.