Customer Remote
Only customer-safe checks, visible state, consumables, cleaning/refill guidance and escalation boundaries.
Turn raw service material into reviewed, audience-safe answers for Cognitive Copilot, SOS, TDC, Self-Service and ALE.
Upload source material, extract evidence, and create review candidates from one place.
Work in three areas: Inbox, Review, Release & Test. The internal five-step path stays inside the selected source.
Guided outreach demo: service material -> Knowledge Factory -> Cognitive Copilot Evidence Trace -> SOS/TDC/ALE handoff.
Use this for Franke, Octonomy, b.telligent, mantro and similar conversations: the guide narrates what the operator does, what the Knowledge Factory proves and where Cognitive Copilot, SOS/TDC and ALE plug in.
Test what SOS, TDC, Careline, Self-Service or ALE would receive. The answer must show sources, confidence, boundary and no-answer reason when evidence is missing.
Parked provider-neutral Voice/Text Agent session contracts. This workbench only supports Test answer in the default flow.
Let Knowledge Factory infer reviewable knowledge opportunities from SOS/TDC codings, technician comments, parts usage, outcomes and follow-up evidence.
Capture real TDC/SOS/FSM closure evidence and route it into Field Learning review. Evidence first, draft candidates second, no automatic truth.
Agent tools over governed Platform Core contracts. REST APIs remain the product boundary and source of truth.
Use the workbench as a release factory: ingest sources, extract evidence, draft candidates, review with experts, publish only approved packs, then learn from field outcomes.
Pick one source. The selected source shows its status, readiness, audience risk and one next action.
Use when source material is a ticket batch. Paste rows, preview clusters, review patterns and promote only draft candidates.
Screen PII and safety, then promote selected patterns into draft Knowledge Candidates.
Build and trace Asset -> Symptom -> Cause -> Action -> Part -> Outcome evidence paths.
Score field-derived resolution candidates before reviewer sign-off. Field learning remains evidence, not published truth.
TXT/MD/CSV/JSON extract immediately. PDF/DOCX/images either produce coarse text or wait for parser/OCR adapters; review section quality before drafting.
Preview service-pattern blueprints from diagrams, BOMs, consumables and pre-market engineering context. Output stays draft/review-only.
Turn IoT, call, remote troubleshooting, field closure and partner signals into draft review candidates. This is not a predictive runtime.
Create worker jobs for uploaded manuals, diagrams and scanned pages. Results stay review-only.
Attach page/table/diagram/OCR artifacts from a parser worker and review source traceability.
Decide where curated knowledge may go after review. Runtime consumers must respect audience and safety class.
Only customer-safe checks, visible state, consumables, cleaning/refill guidance and escalation boundaries.
Guided questions, customer-safe remote steps, evidence capture and dispatch/escalation decision support.
Diagnostic steps, calibration, cleaning, replacement options, parts/tools and field evidence requirements.
Deep diagnosis, repeated-fault interpretation, engineering escalation and high-risk technical boundaries.
Machine-family, subsystem and role-specific training packs with source refs, images, assessment questions and gap feedback.
Source images, reviewed diagrams, generated symbolic step drawings and language variants stay tied to source and safety class.
Preview where the selected candidate may go before release. This explains the runtime boundary; it does not approve content.
Generate a governed B2B ALE package from published, audience-safe knowledge.
Check whether a published answer can go to Customer Remote, Careline, Technician, ALE, Predictive or Partner Intelligence without leaking draft or unsafe knowledge.
Decide whether CCL may be activated for a pilot surface. This guard requires published evidence, audience safety, no-answer behavior and explicit human operating boundaries.
Preview the exact CCL boundary for ULABSOS Customer Portal, Careline, TDC, Second Level and B2B ALE before a runtime consumer is wired.
Check whether a material hint may be used for an asset before CCL, SOS, TDC, CR, IBME or Replacement Engine trust it.
Test grounded retrieval against approved/published knowledge only.
Build an auditable chain from query to retrieval, source artifacts, answer, evaluation and release boundary.
Route an answer trace to senior technician or service engineering review before release candidate readiness.
Package approved answer-trace sign-offs into a release candidate evidence pack without publishing it.
Capture whether retrieved knowledge helped, or where a reviewed knowledge gap is needed.
Promote gaps and improvement signals into draft candidates and review tasks. Nothing is published here.
Run groundedness, citation, safety, no-answer and field-learning checks before runtime use.
Run curated regression packs against real answer behavior before a knowledge release reaches SOS, TDC or Careline.
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