How Fieldaira Implements AI Across Sales, Field, Customer, and Finance Workflows
A practical AI implementation guide for Fieldaira workflows, including orchestration, OCR, retrieval, pricing, notifications, finance handoff, tools, and audit.
The Fieldaira AI architecture
Fieldaira AI is best understood as a reusable agent mesh that supports orchestration, OCR, retrieval, pricing, notifications, finance handoff, deterministic tools, and audit events.
Why workflow context matters
AI recommendations are only useful when they are tied to the active customer, lead, job, quote, payment, report, claim, or route record.
Production guardrails
Production AI implementation needs approval gates, confidence thresholds, retry policy, idempotent tool execution, and auditable decision history.
Direct answers
What makes Fieldaira AI different from a chatbot?
Fieldaira AI is embedded into operational workflows and tied to records, recommendations, tools, review gates, and audit trails rather than functioning as a detached chat box.
Which agents are useful in Fieldaira AI?
Useful agents include orchestration, vision/OCR, retrieval, pricing, notification, finance handoff, and deterministic tool execution agents.