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TAILA

The intelligence layer across the entire Peopletree platform. TAILA uses AI to surface insights, guide decisions, and convert talent data into clear, actionable direction for HR teams, managers, and executives.

A talent partner for every manager, not just HR

Traditional HR tools are built for HR professionals. TAILA is built for the people who manage talent every day -- line managers, team leads, and business partners who need clear insight without needing to be data analysts.

Strength and Development Summaries

Retrieve a narrative summary of any team member's profile -- strengths, development focus, and behavioural patterns -- in plain language a manager can use directly.

Career Conversation Guides

Generate personalised guides for meaningful career development discussions, aligned to the employee's profile and the requirements of target roles.

70/20/10 Development Plans

Performance-aligned development suggestions structured around the adult learning framework. Competency-specific actions selected from a predefined list, not free text.

Succession Readiness Insights

TAILA maps current competencies to target role requirements, supporting succession planning and internal mobility with data-backed recommendations.

Position Profiles

Get clear descriptions of role accountabilities, critical competencies, technical skills, and performance outcomes. Align expectations across the organisation.

API Integration

For organisations on other HRIS platforms, TAILA is available as an API integration. Peopletree's secure middleware handles all data masking and compliance.

How TAILA works

A four-step workflow that turns platform data into personalised, actionable conversations -- without creating new data or automating decisions.

1

Data Extraction

TAILA retrieves relevant data from the active platform component -- strengths, development areas, talent profiles, analytics metrics.

2

Prompt Construction

Middleware converts data into predefined, secure prompt structures. Personal identifiers are replaced with masked placeholders before any AI processing.

3

AI Processing

Masked prompts are processed securely via Azure OpenAI. No fine-tuning. No data retention. Fully stateless processing.

4

Output Delivery

Validated, human-readable narratives are rendered inside the active platform component. Outputs are recommendations that support decision-making.

Responsible AI by design

TAILA was designed around seven principles that govern how AI should behave in a talent context. These are design constraints built into every feature, not aspirational statements.

P1

Strengthen Human Trust

AI improves the quality of human relationships and decisions.

P2

Challenge Bias

Designed to surface bias, not replicate or amplify it.

P3

Elevate Talent Value

Every output should increase the value organisations see in their people.

P4

Contextual Intelligence

Insights are grounded in the specific data and context of each organisation.

P5

Promote Cultural Integrity

Respects the cultural context of every organisation and individual.

P6

Be Transparent

Users always know when they are interacting with AI-generated content.

P7

Protect Data

All data is pseudonymised, encrypted, and never retained at the AI layer.

Available self-serve or as part of a TMaaS engagement. Learn more