For Operations

AI that knows your systems. Guardrails that know what it can't touch.

Give your ops team a Claude with tribal knowledge pre-loaded, system access scoped, and every action logged.

Get StartedHow it works
Claude
On Belay · Operations

Recent

  • Coffee Break — Bianca V3 launch
  • Shopify listing review — Q2
  • HubSpot KB: grinder guide
  • Campaign brief: spring promo

MCP Tools

  • get_my_context
  • list_my_integrations
  • get_integration_credential
C
Context loaded: Operations Team · Clive Coffee. Railway, GitHub, Slack access loaded. Process docs and SOP library in context. Ready.
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Check fulfillment SLA compliance for the last 30 days against our Shopify orders.
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Pulling order data from Shopify… 847 orders in window. SLA target: ship within 2 business days. 94.1% on-time (797/847). 50 late — 38 attributable to carrier pickup delay March 3–5. Recommending SLA exception flag for that window. Want the full breakdown?
Message Claude…

The ops AI problem is a scope problem.

Too much access. Not enough context. No record of what happened.

You're re-explaining tribal knowledge every single session.

Who owns what system. Which vendor handles what. How the fulfillment process actually works. Every ops session starts with a 10-minute brief that should already be loaded.

AI with no scope limits is a liability.

Production systems, vendor contracts, internal tooling — all reachable with zero guardrails. One prompt executed wrong and you've got an unintended vendor communication or a misconfigured deployment.

No audit trail. No accountability.

Who asked Claude to do what? When? What did it access? In ops, every action has a downstream effect. Without logging, you're flying blind.

What your ops team can do.

Process knowledge and system access — scoped and audited.

Generate process documentation from interviews

Claude conducts structured interviews and produces SOPs in your standard format.

Analyze vendor contracts for key terms

Pull contracts from GitHub, extract SLAs, pricing tiers, notice periods.

Cross-system reporting: Shopify + Railway

Correlate order data with deployment events to identify ops patterns.

SOP generation from existing runbooks

Convert ad-hoc runbooks into structured, searchable SOPs.

System health checks via Railway API

Pull service status, recent deploys, error rates — summarized in plain language.

Action logging via log_action MCP tool

Every Claude action in an ops session is logged with timestamp and actor.

Prompts that move ops work forward.

System knowledge pre-loaded. Just ask.

"Check fulfillment SLA compliance for the last 30 days. Flag any patterns and recommend exception windows."

Shopify readRailway read

"Compare our three logistics vendor contracts — surface SLA differences, pricing tiers, and auto-renewal clauses."

GitHub readProcess docs

"Interview me about our returns process and generate a structured SOP we can publish to the team."

SOP templateSlack write

Connected integrations

Scoped permissions. Audit trail. Admin-controlled.

Railwayread
GitHubread+write
Slackread+write

Guardrails built for ops risk.

Because ops mistakes have real consequences.

No production changes without confirmation

Railway deployments, config changes, environment variables — Claude can surface recommendations but never executes without explicit approval.

No external commitments

Claude can draft vendor communications but cannot send them. External-facing actions require human review and a deliberate send.

No cross-environment mistakes

Production and staging are separate scopes. Claude cannot act on production systems from a staging session.

Tribal knowledge belongs in the system, not in people's heads.

Give your ops team structured AI access. Scoped. Audited. Ready.

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14 days free · $10/user/mo after · No credit card required