ibl.ai deploys purpose-built AI agents that monitor learner engagement, trigger timely interventions, and surface the retention data your L&D team needs to act — at any scale.
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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Corporate training programs lose an average of 40–60% of learners before completion, yet most L&D teams lack real-time visibility into who is falling behind or why.
Manual follow-up is slow, inconsistent, and impossible to scale across global workforces — leaving compliance gaps, wasted budget, and unproven ROI in its wake.
ibl.ai's AI agents run on your infrastructure, integrate with your existing LMS, and give every learner a personalized success path — without adding headcount or replacing your current tools.
Corporate eLearning completion rates average just 20–30%, meaning most training investment never reaches its intended outcome.
Only 20–30% average completion in corporate eLearning (Brandon Hall Group)L&D teams discover disengaged learners only after they've already dropped out, making intervention too late to be effective.
73% of L&D leaders cite lack of real-time learner data as a top challenge (LinkedIn Workplace Learning Report)Repetitive, one-size-fits-all compliance modules drive avoidance behavior, increasing risk exposure and audit failures.
Compliance training has the lowest engagement scores of any corporate learning category (Axonify)Connecting training activity to business outcomes remains the #1 unsolved problem for L&D, undermining budget justification.
Only 8% of L&D teams report measuring training ROI effectively (McKinsey)Delivering consistent learner support across time zones, languages, and business units strains small L&D teams and creates uneven outcomes.
Multinational companies report 2–3x higher dropout variance across regions vs. single-market programsContinuously tracks login frequency, assessment scores, video watch time, and module progress to flag at-risk learners before they disengage — automatically and at scale.
When a learner triggers an alert, AI agents open a case, assign it to the right L&D contact or manager, suggest an intervention playbook, and track resolution — closing the loop every time.
ibl.ai agents provide on-demand, role-specific guidance — answering questions, reinforcing concepts, and adapting pacing to each employee's learning profile without human bottlenecks.
Real-time dashboards surface completion trends, cohort risk scores, intervention outcomes, and business-impact correlations — giving L&D leaders the data to prove and improve ROI.
AI agents assess prior knowledge and job role to skip redundant content, shorten time-to-completion, and reduce compliance fatigue — while maintaining full audit trail documentation.
AI agents triage learner support requests globally, route complex cases to human coaches, and handle routine questions 24/7 — ensuring consistent support regardless of time zone or team size.
Map existing LMS data sources, define at-risk learner criteria, and connect ibl.ai agents to your current infrastructure (Canvas, Cornerstone, Workday Learning, etc.) with zero disruption.
Configure early alert thresholds, intervention workflows, and ibl.ai personas aligned to your training programs, job roles, and escalation policies.
Deploy agents with a pilot cohort, monitor alert accuracy, gather L&D team feedback, and refine intervention playbooks based on real engagement data.
Scale agents across all programs and regions, activate retention analytics dashboards, and establish recurring ROI reporting cadences tied to business KPIs.
L&D teams manually review reports weekly; at-risk learners identified after dropout
AI agents flag at-risk learners within hours of disengagement signals, enabling proactive outreach
Ad hoc emails and spreadsheet tracking; no closed-loop accountability
Automated case creation, assignment, playbook delivery, and resolution tracking in one system
All employees complete identical modules regardless of role or prior knowledge
AI-adapted paths skip mastered content, reducing time-to-completion by up to 40% while maintaining compliance
Support available only during business hours in HQ time zone; global learners underserved
ibl.ai agents provide 24/7 role-specific support in multiple languages across all regions
Quarterly manual reports with lagging indicators; no link to business outcomes
Real-time dashboards correlating completion, skill gain, and performance metrics with business KPIs
Delivers 24/7 personalized tutoring and role-specific mentoring to corporate learners, reducing dropout caused by lack of support and enabling scalable coaching without additional L&D headcount.
Provides the AI-native learning management layer with built-in early alert monitoring, intervention case management, retention dashboards, and ROI reporting — purpose-built for corporate training outcomes.
Automates skills assessment and credentialing tied to training completion, giving L&D teams verifiable proof of competency and closing the loop between learning activity and workforce capability data.
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.