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Playbookintermediate7 days

Build AI Agent Automation Services in 7 Days

By InnovaAI Research

This playbook shows agencies how to package multi-agent automation into a billable managed service using tools like OrcaBot, Meltbox, and Jaybase. It opens a recurring revenue stream by positioning your team as the human-in-the-loop operator that clients cannot replicate on their own.

ai-agentsworkflow-automationclient-servicesbrowser-automationno-code-tools
1

Audit Client Workflows for Agent Fit

Before pitching anything, map two or three existing client workflows that involve repetitive browser tasks, data lookups, or multi-step approvals. This audit becomes the sales asset that justifies the engagement and scopes the build.

Schedule a 45-minute workflow audit call with one current client this week, recording the session in Claude Cowork using its screen-recording skill capture feature so every step is documented automatically.
Claude Cowork4 hours
2

Install OrcaBot and Map Target Pages

Download OrcaBot Desktop for macOS, which is free with no subscription, and run it against the client URLs identified in Step 1. Pair it with the Manifest API to generate a structured map of each webpage so your agents know exactly which elements to interact with.

Install OrcaBot Desktop, connect it to the Manifest API, and produce a JSON page map for each of the three target client URLs before end of day.
OrcaBot DesktopManifest API3 hours
3

Cut Browser Costs with Libretto SDK

Agent browsing costs accumulate fast on client retainers, and Libretto Browser Tools SDK is documented to cut those costs by 55 percent. Integrating it at this stage protects your margin before you price the service.

Integrate the Libretto Browser Tools SDK into your OrcaBot workflow configuration and run a cost comparison test on the mapped pages from Step 2 to confirm the reduction.
Libretto Browser Tools SDKOrcaBot Desktop3 hours
4

Store Agent Facts in Jaybase

Multi-agent workflows need a reliable fact store so agents share context without overwriting each other's outputs. Jaybase provides an append-only fact store purpose-built for AI business workflow agents, which prevents data conflicts and gives you an audit trail to show clients.

Create a Jaybase workspace for the client project, define the initial fact schema based on the workflow audit notes, and confirm that agent writes are appending correctly in the activity log.
Jaybase2 hours
5

Add Human-in-the-Loop Review Gates

Clients are rarely comfortable with fully autonomous agents on their first engagement. Meltbox lets you insert human review points into agent briefs so your team approves outputs before they execute, which reduces risk and gives you a clear billable oversight role.

Configure at least two Meltbox review gates inside the agent brief: one before any data is written and one before any external action fires. Share the gate dashboard URL with the client as proof of oversight.
Meltbox3 hours
6

Package the Service and Set Retainer Pricing

Turn the configured stack into a named, repeatable service offering with three tiers: setup only, setup plus monthly monitoring, and setup plus ongoing optimization. Pricing should reflect the 55 percent browser cost savings and the time your human-in-the-loop oversight saves the client each month.

Write a one-page service brief naming the three tiers, listing each tool in the stack, and specifying what deliverables the client receives at each tier. Send it to the pilot client for feedback within 48 hours.
MeltboxJaybaseOrcaBot Desktop4 hours
7

Run a Live Demo and Close the Retainer

A recorded walkthrough of the agent completing a real client task closes faster than a slide deck. Use Claude Cowork's screen-recording skill capture to record the end-to-end demo so it doubles as onboarding material for the next client.

Record a 10-minute demo in Claude Cowork showing the agent completing one full workflow, with Meltbox review gates visible, and send the link alongside the service brief from Step 6.
Claude CoworkMeltbox2 hours