Energy & Carbon Scenarios

Energy-carbon CopilotAsk data, reports and strategy in natural language

On a private knowledge base and live platform indicators, offer multi-turn conversational query, interpretation and drafting. Users can follow up in business language — “why last month’s park peak load”, “impact of a Scope 2 factor change” — and the system pulls indicators, generates chart notes, and can draft email, minutes or report paragraphs for human confirmation before publish.

Energy-carbon Copilot
MeetCarbon Intelligence

Domain context and permissions

Terms and aliases come from the enterprise glossary and regulation summaries. Roles only reach authorised indicators and document fragments; sensitive fields are masked to prevent overreach.

Reasoning and citation chain

Complex questions split into sub-queries and rule checks; conclusions carry cited excerpts or indicator IDs. Answers that touch compliance boundaries add a disclaimer and human-review prompt.

Handoff to intelligent assistants

Conversation can trigger preset agent workflows (weekly report, deviation-alert review); task status echoes in the session sidebar — ask, do, follow in one place.

More than a tool,
yourdigital partner.

We connect domain knowledge, accounting boundaries, and your private data models,
delivering verifiable, traceable guidance for queries, reporting, and operational strategy.

Core Capabilities

Indicator and chart Q&A

Understands terms such as “plant”, “green-power share” and “carbon intensity”; auto-matches dashboard indicators and renders trend and contrast charts, with time range and methodology hints on the answer.

Multi-turn task guidance

Converge from a vague question to a specific park, window and indicator; support follow-up and rewrite; session context can attach the current approval or report draft.

Report and strategy drafts

Generate disclosure paragraphs, slide bullets or operating-advice first drafts from templates and the knowledge base, tagging sources and items still to verify so business and experts can finalise quickly.

Data Foundation
Multi-source Ingestion
Unified timelines & metrics
MeetCarbon AI Engine

Time-series models and domain knowledge work together—with your configured boundaries and factors—to produce verifiable energy and carbon insights and strategy recommendations.

Start your
intelligent energy & carbon era.