Post-Harvest Handbook Guidance Assistant
Handbook-grounded assistant for agents, adjusters, and program staff to quickly find consistent post-harvest handling guidance during underwriting, servicing, and loss handling.
The Problem
“Handbook-grounded post-harvest guidance assistant for underwriting, servicing, and loss handling”
Organizations face these key challenges:
Handbook content is fragmented across PDFs, updates, and internal references
Users struggle to find the exact section applicable to a specific scenario
Different staff may interpret the same guidance differently
Document versioning and updates create uncertainty about current rules
Impact When Solved
The Shift
Human Does
- •Search handbooks, bulletins, shared drives, and prior emails for relevant post-harvest guidance
- •Interpret applicable rules, exceptions, and document versions for the case at hand
- •Consult subject matter experts when guidance is unclear or conflicting
- •Apply the selected guidance to underwriting, servicing, or loss handling decisions
Automation
Human Does
- •Provide case details and clarify scenario-specific facts when needed
- •Review cited guidance and decide how it applies to the underwriting, servicing, or claims case
- •Handle exceptions, ambiguous situations, and escalations requiring expert judgment
AI Handles
- •Retrieve the most relevant handbook passages, bulletins, and reference documents for each question
- •Generate concise, citation-backed guidance tailored to the user workflow and case context
- •Flag document version differences, open issues, and situations that may require escalation
- •Log guidance used and supporting citations to create a traceable record for review
Operating Intelligence
How Post-Harvest Handbook Guidance Assistant runs once it is live
AI runs the first three steps autonomously.
Humans own every decision.
The system gets smarter each cycle.
Who is in control at each step
Each column marks the operating owner for that step. AI-led actions sit above the divider, human decisions and feedback loops sit below it.
Step 1
Assemble Context
Step 2
Analyze
Step 3
Recommend
Step 4
Human Decision
Step 5
Execute
Step 6
Feedback
AI lead
Autonomous execution
Human lead
Approval, override, feedback
AI handles assembly, analysis, and execution. The human gate sits at the decision point. Every cycle refines future recommendations.
The Loop
6 steps
Assemble Context
Combine the relevant records, signals, and constraints.
Analyze
Evaluate options, risk, and likely outcomes.
Recommend
Present a ranked recommendation with supporting rationale.
Human Decision
A human accepts, edits, or rejects the recommendation.
Authority gates · 1
The assistant must not approve underwriting, servicing, or claims actions without review and decision by an agent, adjuster, or program staff member [S1].
Why this step is human
The decision carries real-world consequences that require professional judgment and accountability.
Execute
Carry out the approved action in the operating workflow.
Feedback
Outcome data improves future recommendations.
1 operating angles mapped
Operational Depth
Technologies
Technologies commonly used in Post-Harvest Handbook Guidance Assistant implementations:
Key Players
Companies actively working on Post-Harvest Handbook Guidance Assistant solutions: