KybWork

Platform

Complete infrastructure for enterprise AI agents

From model access to real business actions: runtime, tools, orchestration, observability and knowledge share one organization model, one permission model and one set of metric definitions.

Agent runtime

Agent runtime: configure to go live, swap models freely

One agent per business domain handles intent recognition, parameter completion, tool selection and answer composition. Prompts, tool allowlists and approval steps are configured in the UI, not in code.

  • Built-in agent templates for finance, HR, legal, service, procurement and operations analysis
  • Works with any public or private model; switching models leaves business configuration untouched
  • Runs as the calling user, inheriting permissions from your enterprise accounts, never with super-user rights
  • Create new agents from templates in the capability market
workos/runtimeready

Runtime responsibilities

  • Intent recognition
  • Parameter completion
  • Tool selection
  • Answer composition
  • Multi-turn context
  • Model routing

Tools & connectors

Business tools: support for all your business systems

Standard connectors bring in HRM, OA, PMS, CRM, ERP and more as domain tools. Agents can only call these narrow, explicit business actions, never arbitrary processes or variables.

  • Every connector implements one contract: authentication, field mapping, incremental sync, retries and data health checks
  • Tools are defined as business actions such as "submit leave" or "request payment", not generic database or workflow operations
  • For every call, the server restores the real user from a trusted auth context and re-checks permissions
  • Sync status shows healthy, delayed or not connected; disconnecting never deletes synced data
workos/toolsready

Connector contract

  • Authentication
  • Field mapping
  • Incremental sync
  • Retries
  • Data health check
  • Idempotency keys

Orchestration & approvals

Orchestration & approvals: a human always signs off on high-risk actions

Multi-step tasks run to plan, and critical actions attach to your approval chains. Agents can initiate, but they cannot approve on anyone’s behalf.

  • Agent-initiated actions follow the same approval flows and approver rules as human ones
  • Approvers can be a role, an employee, the direct manager or the department head, with the chain previewed before submission
  • Money and HR actions always require human confirmation; runs can pause and resume
  • Tool allowlists, user confirmation and retry policies are managed centrally, with no second copy of process state
workos/orchestrationready

Guarded business actions

  • Leave
  • Onboarding
  • Transfer
  • Resignation
  • Expenses
  • Payments
  • Seal usage
  • Asset requests

Observability

Observability & evaluation: every call is visible

Agents are not black boxes. Call chains, cost and success rate are visible in real time, failures trace to the exact tool and parameters, and results are evaluated against a baseline.

  • Overview: call volume and cost trends, domain distribution, success-rate ranking
  • Run history: latency, token usage, status and data sources for every call
  • Trace IDs span agents, tools and business services, so issues can be replayed
  • AI assessment: six-dimension organizational health scores, with agents drafting plans for any gap
workos/observabilityready

Observed signals

  • Call volume
  • Success rate
  • Latency
  • Token usage
  • Data sources
  • Tracing

AI assistant

Cross-domain assistant: follow one question to the root cause

Employees and managers work with agents through the AI assistant. Ask a question and an agent pulls data across systems, connects cause and effect, and proposes next steps you can assign right away.

  • Any analysis view can hand its context to the assistant for follow-up questions
  • Answers show data sources and freshness; policy questions include knowledge-base citations
  • Attach files and enterprise data sources; past conversations are archived by date and searchable
  • The desktop workbench and mobile app share the same agent service
workos/assistantready

Built-in templates

  • Daily ops report
  • Data analysis
  • Contract review
  • Meeting brief
  • Customer follow-up script
  • Job description

Business workspaces

Five workspaces: a workbench for people, a tool domain for agents

Each workspace has a complete workflow. People get work done here, and agents query and act here through the same APIs and the same permissions.

HR

  • Org structure & positions
  • Employee records & bulk import
  • Recruiting & candidates
  • Onboarding, transfers, offboarding
  • Attendance & leave policies
  • Performance reviews

Administration

  • Assets & office supplies
  • Meeting room booking
  • Announcements & policies
  • Seal management
  • Admin approvals

Projects

  • Project overview & reports
  • Requirements backlog
  • Sprints & task boards
  • Bug tracking
  • Releases

Finance

  • Expense control & reimbursement
  • Receivables & payables
  • Budgets
  • Payroll
  • Vouchers & financial reports

Customer service

  • Tickets & SLA rules
  • Customer records
  • Service knowledge base
  • Quality checks
  • Service overview

Security foundation

An enterprise security foundation, ready at delivery

Fine-grained permissions

A role × module × action matrix down to individual buttons. Agent calls are bound by the same permissions.

Read-only audit logs

Sign-in and operation logs record successes and failures. Read-only, with no edit or delete API.

Account security

Automatic lockout after repeated failed sign-ins, two-factor authentication and first-login activation.

Configuration first

Dictionaries, menus, approval flows, agents and scheduled jobs are all configurable. No code changes per customer.

Book a demo

Get your first agent running inside your network

Tell us which systems you run and what work you want to hand to agents first. We will prepare a demo and deployment plan for your environment.

Book a demo View architecture