Gen AI that Super-charges Your Managers & Their Teams
From performance reviews to micro-learning, the data-driven environment on worxogo personalises feedback to translate it into engagement and growth.
Data prep steals focus → reviews get postponed.
Check-ins fixate on a couple of KRAs and recency bias.
Annual reviews can break morale.
GenAI automates data preparation & analysis for leaders to coach, not crunch.
GenAI generates clear visual and qualitative signals across individuals, KRAs, and teams.
Our concise walkthrough, shows how raw data converts into a holistic review

Lack of live training.
Doesn’t fit all.
No connection to what drives results.
Each session nudges a learner towards mastery in pace, role, and performance patterns.
Two-minute micro-coaching bouts adjust into flow of work; not after hours.
Every module is tied to KRAs and skills for tangible outcomes.
Upload PDFs/Word docs that auto-generates role-relevant quiz questions.
In under two minutes, convert long docs into flashcards, summaries, and tips.
Instantly create learnings for weak KPIs to close the gaps in real time.
Learners can track applications, view results, and get nudged into the next module.
All in 2-minute chunks during the workday.
Our Behavioural-AI Ethics Charter prevents bias amplification and respects user autonomy.
FAQs
What precautions are taken before data reaches the LLM?
Data Privacy First
Private client information is not sent to Azure OpenAI.
Local Processing
Data is processed before a user interacts with the system.
Anonymization
Identifiers are stripped before the API call.
Aggregated Only
We transmit metrics, never raw PII/PHI.
IP Restriction
The LLM endpoint is isolated from the public internet.
Secure Communication
All traffic is TLS-encrypted.
How is bias handled in AI outputs?
We leverage Azure AI Security's bias-filtering services to detect and mitigate harmful bias, ensuring fair and inclusive content.
Will Gen AI replace managers?
No. worxogo's AI is a co-pilot that removes grunt-work so managers can invest more time in coaching and culture-building.
Is my data used to train public models?
Never. Your data stays within our secure tenancy; foundation-model inference happens in an isolated environment.