FaroIQ

Thousands of nonprofits and community organizations across Latin America make critical decisions without data, without analytical capacity, and without access to strategic consulting. An organization with fifteen volunteers and a twelve-thousand-dollar annual budget cannot afford data scientists or strategy teams.

FaroIQ takes a plain-language description, runs it through a nine-agent sequential AI reasoning pipeline on Azure AI Foundry, and produces in under ninety seconds a needs analysis ranked by severity, a phased implementation plan with milestones, impact projections with confidence intervals, a grant proposal ready to submit, and automatic execution across Microsoft 365 via Azure Logic Apps.

• 01

  Designing a sequential agent pipeline where each agent receives the accumulated output of all preceding agents without exceeding token budget

• 02

  Implementing an autonomous revision loop where the Critique agent scores output quality and re-runs Planner and Evaluator if the score falls below 0.70

• 03

  Maintaining an open WebSocket connection throughout pipeline execution for real-time streaming without blocking FastAPI's event loop

• 04

  Managing Microsoft 365 personal vs work account limitations for Logic Apps integrations

• 01

  Context chaining between agents is more effective than parallel agents when internal output coherence matters more than speed

• 02

  An agent that can identify its own weaknesses and correct them autonomously is more trustworthy than one that cannot

• 03

  Three.js with day/night mode requires a full scene remount via React key prop to guarantee clean state

• 04

  Azure Logic Apps are the cleanest way to integrate M365 without a proprietary SDK when payload flexibility is needed