Vozzo AI’s enterprise voice agents now handle structured trainee feedback calls and AI-led training sessions integrated within Microsoft Teams for one of India’s largest workforce onboarding programmes.
Vozzo AI Labs, a Surat-based enterprise Voice AI company, today announced the deployment of its AI voice agents for the State Bank of India’s SBOSS (SBI Officer’s Onboarding Support System) trainee programme, one of the largest structured employee induction deployments of AI in Indian public sector banking. The engagement covers both outbound voice-based feedback collection from newly onboarded trainees and AI-led training sessions conducted live within Microsoft Teams, spanning both on-roll and off-roll employees across metro, Tier-2, and Tier-3 locations.
India’s public sector banks onboard thousands of new officers and probationary employees each year across geographically dispersed locations, many with limited English proficiency and no prior digital banking exposure. Collecting structured, consistent feedback from these trainees and delivering standardised induction content at scale has historically required large teams of HR representatives, creating bottlenecks, inconsistencies, and gaps in data quality. SBI’s SBOSS programme required a solution that could operate across six major Indian languages, maintain a professional HR representative tone, and handle real-time queries from trainees without requiring human intervention for every interaction.
Vozzo AI deployed two purpose-built modules for the engagement. Module A is a dedicated AI Voice Agent that conducts structured outbound calls to newly onboarded trainees, following strict question sequencing (one question at a time), capturing responses in a structured format, escalating critical responses for internal review, and providing dashboard-based reporting access to HR partners. Module B is an AI Training Agent integrated directly within Microsoft Teams, enabling the AI to participate in live induction calls, deliver PPT-guided content walkthroughs, respond to trainee questions in real time using trained programme material, and auto-generate call summaries after each session. Both modules operate across Hindi, English, Tamil, Marathi, Kannada, and Telugu ensuring communication consistency regardless of a trainee’s location or language preference.
What makes the deployment notable is not just its scale but its architectural approach. Unlike conventional IVR-based feedback systems or static LMS platforms, Vozzo AI’s agents are bidirectional trainees can ask questions mid-session and receive contextually accurate responses based on the specific training material loaded for their programme. The Microsoft Teams integration means SBI did not need to change its existing communication infrastructure; the AI agent works within the platform SBI’s HR and training teams already use, reducing adoption friction to near zero.
“Divy Agarwal , Vozzo AI Labs, said: “SBI’s SBOSS deployment is a defining proof point for what AI-led workforce development can look like in India’s public banking sector. The ability to conduct structured, empathetic, multilingual conversations , at scale, inside Microsoft Teams, without any changes to existing infrastructure is exactly the problem Vozzo AI was built to solve. We’re proud to support SBI in reaching trainees across Tier-2 and Tier-3 India with the same quality of onboarding experience as metro branches.”
The deployment comes at a time when India’s public sector banks are under increasing pressure to modernise HR operations while managing compliance obligations under the DPDP Act 2023 and RBI’s governance frameworks for AI systems. Vozzo AI’s voice agents are built natively within these regulatory guardrails, including data masking, call disposition logging, and HR partner accessibility for escalations capabilities that were specifically required for the SBI engagement given the sensitivity of employee data involved.
Vozzo AI, which secured $200,000 in seed funding earlier this year to expand its enterprise BFSI deployments, is currently in active conversations with additional public sector financial institutions seeking to automate employee onboarding, collections, and customer support operations. The company’s multilingual voice agents supporting over 20 languages including all major Indian languages and code-mixed dialects are available for deployment in under three weeks.
