Workforce records
People, roles, skills, documents and workforce history.
The intelligence behind DAWN.
Connected workforce context. Controlled intelligence. Accountable action.
Explore the architecture
- You ask DAWN to start onboarding for Maya.
- DAWN brings together context and prepares proposed work.
- A manager reviews the work before it is approved.
One architecture. Every part stays connected.
Records, intelligence, actions and evidence share the context of the work.
Connected workforce
People · Work · Skills · Trust
Intelligence
Relevant insights, recommendations and workforce context.
Actions and workflows
Tasks, approvals, notifications and operational processes.
Trust and evidence
Permissions, approvals, verification and clear records.
Intelligence works within clear boundaries.
DAWN separates understanding a request from having the authority to act on it.
Context before an answer
Relevant records and the purpose of the request shape what the AI receives.
A proposal before an action
Structured proposals pass through permitted tools and review requirements.
Choice without dependence
A capability gateway separates model selection from workforce workflows.
One conversation. A coordinated system.
Live media, speech and reasoning work through separate boundaries, with readiness checked before a live interview starts.
Connect
A controlled live session.
Listen
Audio and turn management.
Transcribe
Validated speech events.
Reason
A request through policy.
Speak
The response as audio.
A controlled session
Backend admission checks readiness before issuing access to the live conversation.
Speech with clear ownership
Streaming speech events are validated before they enter the durable interview record.
Calls without duplicate actions
Carrier acceptance and call completion have different states. Ambiguous outcomes do not trigger another automatic call.
Reasoning proposes. People decide.
DAWN prepares the work and presents the supporting evidence. The right person reviews the decision.
One person. Explicit access.
A personal identity and an organisation membership have different responsibilities. Permissions determine the scope of each request.
Identity stays connected
A person can hold different relationships without losing the distinction between personal identity and organisation access.
Authority stays on the server
Roles and resource checks determine access. A screen or model suggestion cannot grant permission.
Boundaries stay explicit
Provider credentials stay behind the backend. Live room access uses scoped, backend issued credentials.
Your systems. Shared context.
Bring relevant information from recruitment, HR and payroll into one connected view.
- Payroll
- ATS
- HRIS
Connected intelligence
The context stays connected.
Unified workforce
- People
- Work
- Skills
Connected workforce context
The record outlives the conversation.
Business records, documents, media and asynchronous work have distinct responsibilities and recovery paths.
Records with structure
Relational records and versioned migrations give workforce activity a consistent business foundation.
Media with its own boundary
Documents and recordings use dedicated storage paths, separate from AI reasoning.
Work beyond the screen
Background processing separates accepted requests from work that still needs to complete.
Retries with judgement
Idempotency and signed callbacks help prevent duplicate calls and confused outcomes.
Continuity across interruptions
Validated final speech events and durable interview turns provide a recovery point.
Events with business context
The platform core records domain events alongside business changes, preserving the link between them.
One foundation across workforce work.
Keep the context connected as people join, develop, work and move on.
Strength is built into the boundaries.
The architecture makes responsibility explicit, including what happens when a dependency fails.
Business authority
Workforce records belong to business services. A model response is not an authoritative record change.
Contained failures
Capability routing distinguishes provider failures from request failures, so recovery follows the right boundary.
Safe repetition
Idempotency keys and explicit states distinguish a retry from a second business action.
Controlled delegation
Tool permissions and human review keep sensitive outcomes separate from generated suggestions.
Visible outcomes
Usage records, call status and review states distinguish accepted, completed, failed and uncertain work.
Replaceable capabilities
AI, media and external adapters sit behind contracts, reducing the need to rewrite business workflows.
Private models. Controlled data.
We plan to train and adapt open source models on approved DAWN data, with training and inference inside a private environment.
Data with a defined purpose
Use approved data with clear rights, access and retention rules for each training purpose.
Training inside a private boundary
Adapt models within a controlled environment, with evaluation and access built into the process.
Inference inside the same boundary
The goal is to keep workforce data within infrastructure controlled by DAWN instead of sending it to external model services.
Built to evolve as one platform.
The platform blueprint gives business services, AI, media and integrations distinct ownership while preserving their shared contracts.
Modular business foundations
Keep related business transactions together. Extract a service when its ownership and operating needs justify it.
Versioned agreements
API, event and tool contracts define what each part of the system can expect.
Evidence before release
The engineering gate follows a journey through the interface, API, records, permissions and recovery.
See DAWN in action.
Start with the work your team needs to get done.