Fieldwise — doc intelligence

RAG over engineering specs and runbooks—answer with citations and diagrams context.

PythonEmbeddingsConfluence API

Fieldwise — doc intelligence product preview

Highlights

Layout-aware PDF parsing for tables and diagrams references
Access controls mirrored from SSO groups
Feedback loop to mark hallucination candidates
Offline bundles for air-gapped environments (export packs)
Evaluation harness with golden questions per domain

Overview

Fieldwise indexes PDFs, Confluence, and Git-backed markdown with layout-aware parsing. Technicians ask natural-language questions about failure modes and get cited excerpts—reducing pager noise. Admins can promote vetted answers into canonical articles.

At a glance

Snapshot signals we optimize for on this engagement—useful for stakeholders comparing fit and scope.

Parse: PDF · Wiki · MD
Evals: Golden sets
Access: SSO groups

How we delivered

Phased cadence—discovery through hardening—so expectations stay aligned with risk and learning cycles.

Corpus
Ingestion pipelines with ACL tests.
Alpha
Pager pilot with SRE sponsors.
Harden
Eval gates + promotion workflow.

Quality

Offline evals run nightly; regressions block releases automatically.

Safety

High-risk topics route to human-only answers with templated responses.

Adoption

Slack and Teams bots meet users where they already triage incidents.

Screenshots

Additional UI captured in desktop framing—same product, more surface area.

Fieldwise — doc intelligence screenshot 1

Fieldwise — doc intelligence screenshot 2

Want something similar for your product? Start a conversation.

Zentisys

Loading experience…