Arclight

AWS FinOps AI Agent for investigation and controlled action.

Arclight gives finance, platform, and operations teams one interactive runtime for AWS cost questions, anomaly analysis, recommendations, approval workflows, and governed remediation.

Arclight channel experience view
Web workspace Slack operator MCP runtime

Interaction Model

Arclight works through Web, Slack, and MCP.

Web Workspace

Onboarding, dashboards, AWS account setup, tenant configuration, approval queues, and audit history.

Slack Operator

Alerts, summaries, quick RCA, cleanup proposals, approval buttons, and execution receipts in the team workflow.

MCP Runtime

Connect Claude, Codex, Cursor, and custom agents to a governed Arclight runtime for deeper multi-turn investigation.

Agent Loop

From question to evidence to action.

A user asks a cost question, Arclight clarifies intent, plans the investigation, invokes AWS billing and operational tools, gathers evidence, explains the finding, proposes action, waits for approval when needed, executes, and reports the result.

Arclight agentic interaction loop

Capability Landscape

Built for real FinOps operating work.

Investigate

Cost anomaly RCA, service-level drivers, account spikes, resource inventory, and evidence trails.

Detect

Idle resources, unused reservations, underutilized compute, storage waste, and unexpected usage changes.

Recommend

Rightsizing, cleanup, lifecycle policies, reserved capacity options, and architecture improvement paths.

Forecast

Monthly run-rate, budget risk, expected savings, seasonal patterns, and optimization impact estimates.

Act

Approval-gated cleanup, tagging changes, snapshot review, non-production shutdown, and controlled remediation.

Govern

Audit history, tenant isolation, policy guardrails, permission boundaries, and change traceability.

Arclight FinOps capability landscape

Slack

Approval-based automation in the channel.

Arclight can post a cost anomaly alert, answer follow-up questions, investigate root cause, propose cleanup or rightsizing, wait for approval, execute a controlled action, and post the audit result.

Arclight Slack approval and action flow

MCP

Open runtime for power-user workflows.

MCP lets external AI clients connect to Arclight, use governed tools, and run deeper interactive investigations without turning Arclight into a closed chat bot.

Arclight MCP deep query view

Enterprise Runtime Isolation

Designed around customer separation and delegated AWS access.

The target architecture uses a shared control plane with per-tenant runtime accounts, delegated customer access, role assumption boundaries, audit logging, and approval gates for actions that can change infrastructure.

Shared control plane Per-tenant runtime account Delegated customer access Human approval gates
Arclight enterprise runtime isolation architecture

Pilot

Start Arclight with a narrow FinOps workflow, then expand into governed operations.