✨ AI Integration

How we put AI to work — responsibly

Five AI agents mapped to real RGPL services, rolled out in three phases — every output reviewed by a qualified consultant.

Home/AI Integration
💬
Visitor Assistant24/7 chat
📋
Smart IntakeClearance analysis
🛰️
Geospatial AIChange detection
📡
CEQMS MonitorPredictive alerts
Our approach

Five AI agents, one phased rollout

Each agent is mapped to a real RGPL service. Every AI output stays a draft until a qualified consultant reviews and signs it off.

Phase 1
Foundations · Months 1–3
Visitor Assistant live on the site and the internal Research Assistant piloted with the consulting team.
Phase 2
Depth · Months 4–7
Smart Project Intake, Geospatial AI pilot and the research assistant rolled out team-wide.
Phase 3
Scale · Months 8–12
Predictive CEQMS/AAQMS monitoring, ESG drafting workflow and a client project-status portal.
The agents

Explore each AI feature

💬

Visitor Assistant

Phase 1Client-facingConversation + RAG

A 24/7 chat widget on rgreenlogic.com that answers clearance and service questions, then routes qualified leads to the intake form.

Tools & data
Website service pages NABET sector list FAQ knowledge base Conversation history
How it works
  • Visitor message + page context + conversation history
  • Grounded on RGPL service catalogue (inline / RAG)
  • Claude generates a concise answer + lead-routing prompt
  • “Request Proposal” → scrolls to the Smart Intake form
📋

Smart Project Intake

Phase 2Lead Qualification Structured Output (JSON)

Replaces the blank contact form. Takes sector, state, type and capacity, then returns a structured preliminary clearance analysis rendered live for the prospect.

Tools & data
EIA Notification 2006 Schedule Forest / CRZ boundary logic State-specific clearance rules
How it works
  • 4-field form: sector + type + state + capacity
  • Claude returns JSON: clearances, EIA category, baseline studies, risks
  • Rendered as clearance badges, category chip and a baseline checklist
  • “Send to RGPL” → pre-filled brief to a consultant
🔬

Research Assistant

Phase 1-2Internal ToolRetrieval-Augmented Generation

An internal consultant tool trained on RGPL's own EIA/ESIA reports and Indian environmental law — cited answers in seconds instead of manual PDF searches.

Tools & data
RGPL report archive EIA Notification + OMs MoEFCC guidelines CPCB / SPCB standards
How it works
  • Consultant question + optional project context
  • Embeddings retrieve the most relevant report & regulation chunks
  • Claude answers with notification references cited
  • Generates paste-ready draft EIA sections on request
🛰

Geospatial AI

Phase 2Field WorkTool-use + Report Drafting

AI-assisted LULC change detection layered onto the existing ArcGIS/Erdas workflow — generates paste-ready EIA baseline text from satellite analysis.

Tools & data
Google Earth Engine Sentinel-2 / Landsat FSI forest-cover data ArcGIS REST API
How it works
  • Satellite imagery pulled for the project boundary (two periods)
  • Classifier produces a Land-Use / Land-Cover change matrix
  • Claude interprets the matrix into EIA-compliant findings
  • Consultant reviews, then text drops into the report template
📡

CEQMS Predictive Monitor

Phase 3ProductTime-series Anomaly + Forecast

Adds AI anomaly detection and breach forecasting to the CEQMS/AAQMS product line — turning a current-reading display into a predictive monitoring system.

Tools & data
Sensor data stream Time-series database CPCB threshold tables SMS / email alerts
How it works
  • Sensors stream readings every 15 minutes
  • Current values + 24h trend + thresholds sent to Claude
  • Anomaly detection + breach forecast returned as JSON
  • Alerts routed by severity: dashboard → email → SMS → call

Responsible use, by design

Every AI output in technical or compliance work is a draft until a qualified RGPL consultant reviews and signs off. Client data stays inside contracted, access-controlled AI services — never free consumer chat tools — and a one-page internal AI-use policy is in place before any phase launches.

Want to see our AI features in action?

From the visitor assistant to predictive monitoring — let's scope what fits your project.

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