Customer operations
SupportBot
Answers customer questions from verified company knowledge and escalates unknowns into internal workflows.
Private betaExplore SupportBot
AI workers. Built around your business.
Start with SupportBot: customer support grounded in your company knowledge, with citations and human oversight. Build toward a connected AI workforce from there.
SupportBot · Private beta, scoped pilots
Customer question
Why is shipment 4817 delayed?
Searching approved knowledgeApproved scope: shipment records and delay policy
Grounded answerCitations included
Shipment 4817 is delayed because a port hold was recorded this morning. The current record does not include a confirmed release time, so SupportBot has prepared a cited update and flagged the timing question for human review.
S1S2
Human review neededRelease timing is not confirmed by the approved sources.
Illustrative example · not live data
One platform. A worker for each role.
SupportBot is the commercial starting point. WorkspaceBot and Intake Agent are in development, intended to build on the same knowledge and oversight foundation.
Employee operations
WorkspaceBot
In development to help employees find approved internal knowledge and prepare operational requests.
In developmentExplore WorkspaceBot
Client onboarding
Intake Agent
In development to organize client requirements, identify missing details, and prepare reviewed onboarding briefs.
In developmentExplore Intake Agent
Start with SupportBot
AIWF’s first commercial AI worker helps customer-support teams answer questions from approved company knowledge, cite the source behind each answer, and escalate what it cannot safely resolve.
Initial focus: logistics and documentation-heavy businesses.
| Request | Evidence | Review |
|---|---|---|
| Why is shipment 4817 delayed?Timing needs confirmation | 2 sources | Needs review |
| Which documents are required?Approved documentation | 1 source | Answered |
| Can you approve an exception?Assigned to the support team | Policy | Escalated |
Illustrative example · not live data
Verified answers
Ground responses in the knowledge scope approved for the pilot.
Source citations
Show the documents or records behind each answer.
Human escalation
Route uncertain or sensitive questions instead of forcing a response.
Embeddable support
Bring SupportBot into the customer channel teams already use.
Private beta: focused pilots begin with a defined support scope, approved knowledge, and an escalation workflow.
Explore SupportBotSee how a request moves through AIWF.
A customer asks: “Why is shipment 4817 delayed?”
SupportBot follows an approved evidence path before a response reaches the customer.
- 01
Customer question received
The request enters the support workflow with the customer and shipment context.
- 02
Approved sources searched
SupportBot checks only the shipment records and policy sources assigned to this pilot.
- 03
Evidence and citations assembled
Relevant records are paired with the exact source references behind the response.
- 04
Grounded answer delivered
A cited answer is sent only when the approved evidence supports it.
Every worker runs on the same business context.
SupportBot brings knowledge, citations, and review into one support workflow. The platform direction extends this foundation across workers, with shared memory, permissions, and approved handoffs.
AI Workers
SupportBotWorkspaceBotIntake Agent
AIWF Platform Core
KnowledgeShared MemoryPermissionsWorkflowsHuman OversightAnalyticsIntegrations
Business Systems and Context
DocumentsWebsitesDatabasesConversationsInternal toolsAPIs
Built first for logistics and documentation-heavy operations.
AIWF’s initial customer profile is a small or medium business with existing documentation, a customer-support team, frequent questions, and repetitive workflows.
Initial profile: 10–500 employees.
Customer questions
Answer recurring shipment, policy, service, and documentation questions from approved sources.
Operational knowledge
Find relevant information across PDFs, procedures, internal documentation, conversations, and structured records.
Escalation workflows
Route uncertain or sensitive issues to the right employee instead of forcing an unsupported AI answer.
AI that works inside your rules.
AIWF is designed around controlled access, human judgment, and reviewable work — not unsupported autonomy.
Knowledge boundaries
Workers use only the knowledge sources assigned to their role.
Role-aware permissions
Access and actions follow the worker’s purpose and configured permissions.
Human approvals
Important or uncertain decisions stop for review.
Activity history
Teams can review what the worker checked, answered, escalated, and who approved the outcome.
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.