Every ESG workflow starts with data, which is why Argus is the agent teams end up working with most. He is the Data Analyst inside Incredibl Agents, Credibl's team of 5 AI agents, and his job description is simple: turn messy into clean, structured, platform-ready data.
Argus is meticulous, patient and slightly nerdy. He loves a well-structured CSV. He says "let me check" more often than "I think." And he will surface the unit mismatch you missed on row 3,412.
From inbox chaos to structured data
Drop in PDFs, CSVs, XLSX files, scanned images or pasted text. Argus runs the full pipeline: AI-powered OCR extraction, deduplication, normalization, unit conversion and schema mapping into the Credibl ontology. Unlike agents that only advise, Argus actually executes the transformation, always behind a preview-and-approve gate. You see the proposed clean dataset, with a diff, before a single row commits.
Scroll sideways to see the full diagram
What Argus actually does for you
Ingests anything
Upload, paste or scan. Argus extracts electricity consumption from a stack of utility bill PDFs and maps each reading to the right facility.
Cleans in plain language
Tell him “clean, combine and deduplicate this purchase-orders file” and he does it, logging what was duplicate, what was kept, and why.
Maps your schema
Your columns rarely match anyone’s ontology. Argus proposes the mapping, with a confidence level per column, and learns your conventions.
Automates the recurring
Monthly bills from the same vendor? Argus saves the transformation as a recurring import rule and runs it on schedule.
Schema mapping, shown, not hidden
The mapping step is where most data tools quietly get things wrong. Argus makes it explicit. Every proposed mapping comes with a confidence score, and you confirm before load:
Scroll sideways to see the full diagram
Inside the upload screen
Argus is in-module primary, so his real home is not a chat window. This is what he looks like where you actually meet him, right on the upload screen:
Where the job ends
Argus is the transformation layer, and only that. He prepares clean activity data for the calculation modules, but methodology questions belong to Cira, disclosure narratives belong to Quill, and evidence and assurance checks belong to Verity. That separation is deliberate: the agent who transforms your data is never the one grading it.
Argus owns
- Ingestion, OCR and extraction
- Cleaning, dedupe, unit conversion
- Schema mapping to the Credibl ontology
- Recurring import rules
Argus hands off
- Emission factor choices, to Cira
- Disclosure drafting, to Quill
- Evidence and assurance flags, to Verity
- Routing and memory, to EVA
What flows in, what flows out
No agent works alone. Here is exactly what Argus receives, from you, the platform and the other agents, and what he hands off once the work is done:
Flows in
Flows out
Argus, module by module
The full map of where Argus shows up across the Credibl platform and what he does there:
Ask Argus anything
Real prompts Argus handles today, straight from the platform:
Argus by the numbers
Your extended sustainability team is here.
5 specialist AI agents. 1 extended sustainability team. AI agents that clean, calculate, report and audit, with you in control. Argus is live inside the Credibl platform today.
We are also live on Product Hunt.