Blitz runs a review-first AI operator workflow for agent governance: inventory the agents and automations already in play, map owners, permissions, risks, and approval points, and prepare a weekly packet humans can review before anything sensitive is expanded, changed, or allowed to act externally.
For leadership teams, ops leads, IT owners, and consultants inheriting scattered AI agents and automations across teams who need a concrete weekly governance packet without blocking every agent or allowing unapproved external actions.
Turnaround
First inventory packet in 48 hours, then weekly review
Typical systems
Custom GPTs, n8n, Zapier, docs, SaaS admins, inbox, chat, CRM, finance tools
Safety model
Draft-first governance: no external sends, permissions, CRM, ERP, or finance changes without approval
Start with this exact handoff
Send the current AI sprawl: GPTs, n8n/Zapier flows, internal bots, prompt docs, service accounts, owners if known, connected systems, current approval rules, and anything that can message externally or change live records.
The bottleneck
Most teams do not have one deliberate AI operating model. They have agent sprawl: GPTs built in one corner, Claude projects in another, automations in n8n or Zapier, prompt packs in docs, service accounts with unclear permissions, and workflows that can message customers or touch systems without anyone having a clean map of ownership or risk.
The operating model
Blitz turns that sprawl into a review-first governance workflow. It inventories the live agents and automations, maps who owns each one, what systems it can read or draft for, where approvals are missing, and which items need a human decision this week. The result is a practical governance packet, not a vague policy deck.
How the workflow runs
Start with what already exists: custom GPTs, Claude projects, internal assistants, n8n or Zapier automations, shared prompts, service accounts, docs, and the people currently using them.
Blitz organizes each agent or automation by owner, team, inputs, connected systems, allowed actions, approval path, and whether the workflow can draft, suggest, or act externally.
The workflow highlights ownerless agents, broad permissions, unclear approval gates, duplicated automations, and high-risk external touchpoints while leaving productive low-risk work visible instead of recommending a blanket freeze.
It drafts the leadership and operator packet with the inventory snapshot, decision queue, approval map, exceptions, and the few changes worth reviewing this week.
Humans decide which agents stay as-is, which need tighter permissions or named owners, which can continue in draft-only mode, and which external actions remain blocked until approval is explicit.
Prepared packet preview
This is the review-first output layer Blitz prepares from the handoff: context, drafts, next actions, and explicit approval gates.
Example prepared packet excerpt
These snippets are example packet blocks for human review, not autonomous sends or system changes.
Weekly AI governance packet Inventory snapshot: 27 active agents and automations across sales, support, finance, ops, and delivery Owner gaps: 6 workflows have no named owner; 4 rely on shared credentials; 3 can act externally without a documented approval point Decision queue: assign support triage owner, restrict CRM write scope for renewal assistant, move procurement quote bot to draft-only mode, confirm whether finance reminder flow may email vendors, archive two duplicate prompt docs Approval gate: no permission changes, external sends, or system mutations executed yet; packet prepared for human review
Brief
Blitz assembles the working brief before anyone has to reconstruct the story again.
Drafts
Drafts stay readable and editable so the team can review before anything moves.
Tasks
The workflow packages next actions, owners, and dependencies into a review-ready packet.
Review gates
Blitz keeps the approval layer explicit before tools are connected more deeply or actions are automated.
Example messy handoff
You do not need a perfect process doc. The best starting point is usually the rough handoff your team already passes around.
AI agent and automation inventory review for weekly leadership + ops meeting Sources: team-submitted agent list, n8n workspace, Zapier account exports, shared prompt docs, admin screenshots, Slack threads about 'the bot', and a spreadsheet of service accounts Need one packet showing active agents, owner or missing owner, connected systems, permissions, approval path, risk notes, duplicated workflows, and which items need a decision this week Flag anything that can email customers, post to Slack externally, edit CRM or ERP records, approve spend, or access broad shared drives without a named owner Do not disable agents, change permissions, or allow external actions until the review packet is approved
Approval & intake questions
These are the questions Blitz confirms before connecting more tools, creating records, sending messages, or automating deeper than prepare-and-approve draft work.
Blitz packages the governance work into something leaders, ops, and IT can review in one pass.
This is not a 'ban all agents' workflow. It is a controlled operating review.
Governance works better when it feels like operations, not theater.
Likely outcomes
Where to start
Start with one real AI sprawl audit, not a policy workshop. Send the scattered list of GPTs, n8n flows, bots, service accounts, shared prompts, owners, and risky actions. BlitzClaw prepares a first governance packet and approval map for review before anyone changes permissions, blocks workflows, or expands automation.
Send this kind of handoff
Send the current AI sprawl: GPTs, n8n/Zapier flows, internal bots, prompt docs, service accounts, owners if known, connected systems, current approval rules, and anything that can message externally or change live records.