One agent. Three things you get.
OLi is not a dashboard. It is not a chatbot waiting to be prompted. OLi is a desktop AI agent that sees what you are working on and acts — with the right content or the right skill, at the moment it matters.
Pillar 1
Help in the moment.
OLi recognizes the work and surfaces the right thing at the moment it matters. Today that is usually content — micro-learning delivered when a skill gap is detected, a knowledge-base article when the recognized task calls for one, a break reminder when continuous focus patterns warrant it. This is what has been shipping across five-plus years of customer deployments.
Increasingly it is skills — real actions OLi takes for the user. Generate SOWs from a timesheet and send via Zoho Sign. Check and record insurance eligibility into your EHR. Summarize an email thread grounded in your work context. Same agent. Same trigger substrate. More of what it can do.
Content — shipping today
Micro learning, motivation, knowledge-base articles, break reminders, coaching nudges. Multi-tenant, in production.
Skills — rolling out now
Tenant-customized actions wired to your stack. Built by Dataken engineering today. Self-serve API coming soon.
Pillar 2
Proof of where work really happens.
Analytics, process mining, computer vision, and the OLi Analyzer — the only view of work built from the activity graph. Not surveys. Not self-reports. Not time-tracking tools that depend on people remembering to click a button. The record of what actually happened.
See where time goes, where friction lives, where process breaks. Tie OLi’s interventions directly to measurable outcomes. The activity graph makes the proof automatic — you do not have to ask your people to prove they are working.
Pillar 3
A privacy story your security team will sign.
This is not a disclaimer. It is architecture.
Activity-graph anonymization
Anonymized at the data layer as an architectural property, not a policy overlay.
Privatized LLM inference
Zero retention. No training on tenant data. Open-source isolated deployment available for security-sensitive tenants.
Per-tenant data boundaries
Your rules registry, skills, and activity graph are isolated to your tenant. Cross-tenant data sharing is not a feature.
On-device capture
Raw activity data is processed on the user’s machine. Only structured records leave the device.