One platform for a governed AI workforce.

Give each AI worker a purpose, approved knowledge, permissions, memory, workflows, human approval rules, and integrations — all managed through one AIWF platform.

AI workers
SupportBotWorkspaceBotIntake Agent
AIWF platform core
KnowledgeShared MemoryPermissionsWorkflowsHuman OversightAnalytics
Business systems and context

Documents · Websites · Databases · Conversations · Internal tools · APIs

Specialized workers. Shared business context.

Each worker has a distinct role, but the same platform governs knowledge boundaries, permissions, memory, workflows, and human review.

SupportBot

Customer operations

Answers customer questions from verified company knowledge and escalates unknowns into internal workflows.

Primary commercial product

WorkspaceBot

Employee operations

Connects employees, managers, company knowledge, tasks, approvals, and internal workflows.

Platform expansion

Intake Agent

Client onboarding

Turns unstructured customer information into requirements, follow-up questions, tasks, briefs, and audit history.

Platform expansion
Platform workspace

AIWF Desktop

A dedicated workspace for support teams, operations teams, and AI administrators working with the AIWF platform.

Discuss a pilot →

What every worker inherits.

The value is not another standalone chatbot. It is the shared operating context underneath every specialized AI worker.

Knowledge

Approved company information defines what each worker can use.

Shared Memory

Approved outcomes can strengthen business context without treating every conversation as trusted memory.

Permissions

Role-aware access limits the information and actions available to each worker.

Workflows

Workers can move requests through defined business processes rather than operating as isolated chats.

Human Oversight

Important, uncertain, or sensitive decisions stop for review.

Analytics & history

Teams can inspect activity, escalations, approvals, and operational patterns.

Start with one AI worker. Build from there.

Deploy SupportBot around one customer-support workflow, then expand the same knowledge, memory, permissions, and oversight system across additional AI workers.