Tribal Knowledge Capture
Identify undocumented expertise buried in work order patterns, auto-generate SOPs from decades of institutional knowledge, and detect retirement risk before your most critical knowledge walks out the door.
What energy operations teams are seeing
Of undocumented procedures identified
Single-expert dependencies found per scan
SOPs auto-generated
Built by a team with deep experience in enterprise operations for regulated industries.
Your most critical knowledge is trapped in people's heads
Your most experienced operators carry decades of institutional knowledge in their heads — non-standard procedures, site-specific workarounds, equipment quirks — and none of it is documented. When they retire, it leaves with them. The next crew has to rediscover those lessons the hard way, often through costly mistakes, compliance gaps, and extended outages that the veteran would have resolved in minutes.
From work order patterns to documented expertise — automatically
Work Order Analysis
SectorFlow ingests years of work order history from your CMMS and ServiceNow, analyzing resolution notes, time-to-fix patterns, and the specific personnel assigned to each job. It builds a comprehensive map of who does what, how often, and how their approach differs from standard procedures.
Pattern Detection
The AI identifies procedures that only one or two people perform, tasks with significantly different resolution times depending on who handles them, and work orders where the resolution notes describe non-standard approaches. These patterns signal undocumented expertise that exists nowhere in your formal documentation.
Knowledge Extraction
For each identified knowledge gap, the AI synthesizes information from work order notes, resolution patterns, equipment manuals, and historical incident data to reconstruct the undocumented procedure. It flags areas where the extracted knowledge needs expert validation and identifies the specific SME who holds that expertise.
SOP Generation
The AI generates comprehensive standard operating procedures from the extracted knowledge — complete with step-by-step instructions, safety considerations, equipment requirements, and site-specific notes. SOPs are formatted to your organization's documentation standards and published to Confluence or SharePoint for review.
Expert Validation
Each generated SOP is routed to the identified subject matter expert for review and validation. The SME can approve, correct, or augment the procedure directly in the review workflow. Once validated, the SOP is published as an official document and linked back to the relevant work order categories for future reference.
This isn't a wiki — it's a knowledge risk detection engine
Every capability your operations team needs to capture institutional knowledge before it disappears, built in from day one.
Single-Expert Dependency Detection
Identifies procedures and tasks that only one person can perform, flagging critical knowledge concentration risks across your organization.
Retirement Risk Scoring
Scores each knowledge holder by retirement eligibility and the criticality of their undocumented expertise to prioritize capture efforts.
Work Order Pattern Analysis
Analyzes resolution times, approaches, and outcomes across thousands of work orders to surface non-standard but effective procedures.
Site-Specific Procedure Extraction
Captures location-specific workarounds, equipment quirks, and environmental factors that experienced operators know but never documented.
NERC Compliance Gap Flagging
Identifies procedures that may have NERC compliance implications and flags documentation gaps that could create regulatory exposure.
Automated SME Review Assignment
Routes each generated SOP to the identified subject matter expert for validation, tracking review status and approval through completion.
Why a dedicated AI layer?
Your CMMS tracks work orders and your wiki stores documents — but neither one can detect that a single operator is the only person who knows how to handle a critical procedure, or that their retirement date is six months away. SectorFlow sits across your work management and documentation systems, connecting the patterns in your operational data to the knowledge gaps in your documentation — before a retirement creates a crisis.
Connects to the systems you already run
ServiceNow
Confluence
SharePoint
Don't see your system? We integrate with any platform via API. Talk to us.
"We had no idea that one technician was the only person who knew how to calibrate three of our most critical substations. This flow surfaced that risk six months before his retirement — and we had documented SOPs ready before his last day."
— Director of Grid Operations, Regional Transmission Operator
Frequently Asked Questions
See What Tribal Knowledge Capture Looks Like for Your Team
Book a 30-minute discovery call. We'll walk through the Tribal Knowledge Capture flow with your work order data and your documentation gaps.
← Back to Energy Sector