Employee satisfaction

On Blits.ai this is an AI agent in Microsoft Teams or the intranet, grounded in a knowledge base of HR policies with hybrid retrieval and document version control, so every answer can cite the current version. Custom functions call the HR system's APIs (the integration catalog includes Workday and SAP) for balances and transactions, passing only the requesting employee's identifier so every lookup is scoped to that person.

A flow detects sensitive topics and triggers human handover to HR, while guardrails and PII masking keep personal data out of prompts and logs. Role based access control limits who can read conversation logs, and the GDPR toolkit covers retention and removal requests. Multi language support serves employees in their own language, and test suites check answers per country before every policy change goes live. The platform is model agnostic. Run Blits.ai in our cloud in the EU, Qatar, Singapore, the UAE, the US or Australia, in your private cloud, or fully on premises.

On Blits.ai this is an AI agent in Microsoft Teams (or the web chat bubble on the intranet, a mobile app through the API channel, or email), grounded in a knowledge base of onboarding content with hybrid retrieval and document version control, with separate content where policies differ by country. An agentic workflow started from the HR system through an API token builds the plan and uses custom functions to open requests in IT and facilities systems (the integration catalog includes Workday, ServiceNow and Okta), with agentic tasks that recheck overdue steps on a schedule and nudge their owners.

Human in the loop approval holds actions above a threshold you set, a flow routes sensitive topics to HR through human handover, and guardrails with PII masking keep personal data out of prompts. An authentication step in the flow confirms who the employee is, multi language support serves new hires in their own language, and test suites check answers per country before content changes go live. The platform is model agnostic. Run Blits.ai in our cloud in the EU, Qatar, Singapore, the UAE, the US or Australia, in your private cloud, or fully on premises.

On Blits.ai each scenario is an AI agent with a persona prompt, a goal and the facts it may reveal, with prompt versioning so training teams can refine scenarios safely. Trainees practice by voice with streaming speech recognition and synthesis, including emotion aware TTS so the simulated customer sounds calmer or more upset as the conversation develops, or in web chat and Microsoft Teams; a digital human can add a face for in person training rooms. A knowledge base holds the approved policies and disclosure wording the rubric checks against.

After each session a second agent scores the transcript with structured output against the rubric, quoting the evidence per item. Test suites with LLM based grading keep scenarios and scoring consistent across changes, conversation logs give trainers the transcripts, and role based access control limits who sees individual results. The platform is model agnostic, so the persona and the grader can run on different models.

On Blits.ai this is an AI agent with custom functions that read work context from connected tools (project trackers, chat, document storage) through the integration catalog, combined with a knowledge base holding the review template and competency framework so every draft is structured the same way. An agentic workflow collects structured peer and self feedback through web chat, email or Microsoft Teams, chases outstanding responses, and produces the draft with structured output mapped to the organization's review fields.

Every draft is written to the HR system only after human in the loop approval from the manager; nothing reaches the employee without the manager's approval. Guardrails block conduct, health or personal circumstance content from the draft, and a human handover rule or agent tool escalates it to a person, while PII masking limits what personal data reaches the model.

Run history with a full audit trail records each drafting run and the manager's approve or reject decision, and test suites evaluate the drafting flow against a reference set of feedback inputs. The platform is model agnostic. Run Blits.ai in our cloud in the EU, Qatar, Singapore, the UAE, the US or Australia, in your private cloud, or fully on premises.

Blits.ai does not build the predictive model itself; that stays with the organization's people analytics or HR platform, which already holds the tenure, performance and compensation history the score needs. What Blits.ai builds is the layer that gets the score to a manager and turns it into action: an agent inside Microsoft Teams or the manager's own tools that explains, in plain language, why an employee is flagged, using a custom function that reads the risk factors from the analytics platform's API rather than the raw score alone.

An agentic workflow with human in the loop approval creates a tracked stay conversation task for the manager with a follow up reminder, instead of leaving the flag to sit in a dashboard, and a knowledge base gives managers the organization's own retention playbook for the specific driver flagged (pay, workload, career progression). Role based access control and per bot permissions restrict who can see an individual score to the manager and HR business partner it is meant for, and the workflow's run history and analytics track how often a flagged conversation actually happens, for HR's own reporting.

Blits.ai is not a frontline communication and scheduling platform, but the conversational and self service layer on top of one fits well. An agent on WhatsApp or SMS, channels frontline workers already use on personal phones, answers common questions (shift times, pay dates, policy basics) from a knowledge base built from the company's own HR and safety documents. Multi language bots with machine translation deliver that knowledge base content in each employee's own language.

A custom function reads the shift schedule from the workforce management system so the agent can answer "when is my next shift" without a person looking it up, and routes anything the agent cannot resolve, such as a pay discrepancy or a safety concern, to a human handover with the local site leader. Guardrails keep the agent from giving employment law advice or confirming a schedule or pay change on its own, and analytics shows unique users and interactions by channel, with custom dashboard widgets available for whatever breakdown internal communications wants to track.