Agent · 04 of 04

Ask your data anything.
Get an answer with receipts.

MUSA Assistant is an AI agent that connects to your environmental warehouse and understands the full context of your sites, sensors, and compliance obligations. No dashboards to read. No CSVs to dig through. Just ask.

MUSA Assistant is an AI agent that lives on top of your environmental data. It connects to the MUSA Data Management warehouse and understands the full context of your sites, sensors, and compliance obligations. Your HSE manager can ask "Why did COD at outfall SW-02 spike at 09:42 on Tuesday?" and get a sourced answer with data references, not a dashboard to interpret, but a direct answer with evidence.

The Assistant knows your estate: which stacks belong to which permit, what the regulatory limits are for each parameter, when the last calibration was due, and who needs to be notified when something drifts. It speaks English and Indonesian. It works at 3 AM on a Sunday before a regulator deadline.

This is Layer 5 of the MUSA stack. MUSA Integrator collects the data, MUSA Data Management warehouses it, MUSA View visualises it, and MUSA Assistant makes it conversational.

Features

What it can do today.

Natural language queries

  • Multi-turn conversations with memory
  • "Compare SO₂ at A1 vs A7 this month"
  • Follow-up without re-stating context

"Compare SO₂ at A1 vs A7 this month"

A1 averaged 210 µg/m³, A7 averaged 184 µg/m³. A1 is 14% higher, driven by the Tue night shift.

Interface: Telegram chat

Sourced answers with data references

  • Inline citations to warehouse timestamps
  • Calibration-status flag on every reading
  • One-tap "show me the raw data"

COD at SW-02 hit 142 mg/L at 09:42 [1]. Calibration ✓ valid.

[1] sensor SW-02 · 09:42:07 · frame #88213
Answer with data source citation

Anomaly detection & alerts

  • Push alerts when trends drift
  • Thresholds per permit, per parameter
  • Weekly digest option for management
Stack A1 SO₂ trending +15% vs 7-day avg
Alert: trend anomaly detected

Report drafting

  • GRI, CDP, KLHK-aligned templates
  • Emission factor auto-application (IPCC, KLHK)
  • Export to DOCX or PDF for review
Q2_Emissions_Summary.docx
Draft: Q2 emissions summary
Technical specs

Under the hood.

InterfaceTelegram bot · In-platform chat widget · Email (SMTP inbound)
LanguageEnglish · Indonesian (Bahasa)
Data sourceMUSA Data Management (REST + GraphQL)
ModelsClaude (primary) · Gemini (multimodal) · DeepSeek (analysis)
Context windowFull site history · Sensor registry · Permit limits · Calibration records
Response timeStandard queries < 10s · Complex analysis < 60s
SecurityNo data leaves MUSA infrastructure · Role-matched data scope · Personal credentials per user
Availability24/7 · Push alerts on anomaly detection
IntegrationTelegram · WhatsApp (roadmap) · Slack · Microsoft Teams
How it works

From zero to answering questions.

01

Connect & onboard

Warehouse connection, site registry, user accounts, and role setup. Assistant gets read access to the MUSA Data Management warehouse and learns your sensor inventory.

02

Train on your context

Permit limits, alert thresholds, preferred report formats, and stakeholder roles. The more context you give, the sharper the answers.

03

Go live on Telegram

HSE team starts asking questions. No training required, just type. The assistant understands natural language from day one.

04

Iterate & expand

Custom alert rules, report templates, and new data sources over time. Assistant learns how your team works and gets better every week.

Works with

Solutions enhanced by MUSA Assistant.

Start asking

A 15-minute setup. Then just type.

Connect MUSA Assistant to your warehouse, and your HSE team can start asking questions the same day. No training. No dashboard tutorials. Just ask.