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When does a good AI workflow need to become a delivery system?

The realistic alternative to Launchpad is usually a workflow you already like — and the question is not whether ChatGPT or Claude can do good work. They can. The question is when individually maintained AI workflows become expensive to coordinate across projects, people, methodology changes, review and client boundaries.

The distinction

Individual workflow versus delivery system

Both columns describe real, working ways to run consulting work with AI. The difference is what carries the coordination.

Operating-model comparison: an individually maintained AI workflow versus Launchpad
DimensionAn individually maintained workflowLaunchpad
Where the method livesIn each person’s prompts, templates and habits.In durable specialist and team definitions plus firm knowledge, maintained once.
Where client context livesAcross chats, files and notes, kept apart by care.In a project room within the organisation’s workspace, with room access and content permissions governing its use.
How the work is challengedBy whoever reads it, at whatever point they read it.By critic and validator roles in the session, before senior review.
How the deliverable is producedAssembled by hand beside the AI output.Generated from the editable report a person reviewed and approved.
What returning to the work costsReconstructing the state from history and memory.Reopening saved project material and the working report, with selective memory recall.

Pick your alternative

Compare against what you actually use

Each page starts with what the alternative does well and says plainly when it is enough.

  • Claude Projects

    A good way to keep one person’s working context together — and the point where a firm needs more than personal continuity.

  • Custom GPTs

    Reusable configured assistants are a real step up — until maintaining a family of them becomes its own job.

  • General-purpose AI

    Individually, general assistants make good consultants faster. The gap is between individual skill and firm capability.

  • Build it yourself

    Technically capable firms can build good AI workflows. The real question is the ongoing maintenance, not the first build.

  • Your current workflow

    Doing nothing is a real option with real advantages. This page is the honest before/after of moving the coordination.

View example deliverables →

See the delivery system on real work.

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