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Automation

AI Agents

AI Agents are specialized assistants Nordic Carbon builds into your Sustainability OS - for reporting, suppliers, compliance, analytics, and evidence. We design each agent with guardrails and human-in-the-loop controls, connected to your knowledge layer, so teams delegate repetitive work in parallel while keeping approvals and audit trails intact.

How we build it

Agents designed for sustainability operations

AI Agents are built as part of your Sustainability OS - not bolted-on chatbots. We follow Discover → Architect → Deploy → Scale to define which agents matter for your workflows, connect them to governed data, and embed human oversight from day one.

  1. 01

    Identify high-value automation targets

    We start in Discover: which tasks consume the most time - data collection follow-ups, report drafting, evidence gathering, gap analysis - and where human judgment is still essential versus where agents can run safely in parallel.

  2. 02

    Design agent roles and guardrails

    We define specialized agents for reporting, suppliers, compliance, analytics, and evidence - each with clear scopes, permissions, escalation rules, and approval gates so automation accelerates work without bypassing governance.

  3. 03

    Connect agents to the knowledge layer

    We wire agents to your normalized metrics, frameworks, supplier data, and workflow context - so they reason over governed OS data instead of hallucinating from disconnected documents or stale exports.

  4. 04

    Deploy with human-in-the-loop controls

    We stand up agents inside your workspace with review steps, audit trails, and override paths - teams delegate repetitive work while retaining sign-off authority on anything that reaches disclosure or external stakeholders.

  5. 05

    Scale and refine with operational feedback

    We expand agent coverage as teams adopt them - tuning prompts, adding capabilities, and hardening controls as sustainability operations grow across sites, frameworks, and supply chain depth.

How teams use it

Parallel work without losing governance

Once live, Orchestration and Workflow delegate bounded agent tasks while teams stay in the workspace to review, approve, and intervene. The result is faster cycles with audit trails intact - automation that accelerates work without bypassing governance.

  1. 01

    Accelerate reporting and evidence work

    Reporting agents draft disclosure sections, flag missing datapoints, and assemble evidence packs - cutting manual assembly time while reviewers validate outputs before publication.

  2. 02

    Run supplier follow-ups at scale

    Supplier agents monitor response rates, send targeted reminders, summarize submissions, and escalate gaps - so procurement teams focus on exceptions instead of chasing inbox threads.

  3. 03

    Monitor compliance continuously

    Compliance agents watch framework requirements, track control status, and surface risks when data or evidence falls out of spec - before deadlines force reactive fire drills.

  4. 04

    Surface insights and anomalies

    Analytics agents investigate trends, compare sites and categories, and highlight outliers - giving sustainability leaders faster answers without waiting on manual analysis cycles.

  5. 05

    Keep teams in control from the workspace

    Agents run when Orchestration delegates a task or a workflow reaches an ai_task step - never self-starting from arbitrary events. Teams launch, monitor, approve, and override them from the same workspace, with every action logged for audit readiness.

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