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AI Automation

What an AI Automation Sprint Includes: Scope, Timeline and Cost

A practical guide to a one to two week AI automation sprint: workflow mapping, an AI agent or workflow, integrations, launch and measurable time savings.

By Waqar Malik
6 min read
What an AI Automation Sprint Includes: Scope, Timeline and Cost
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In short

An AI automation sprint takes one repetitive workflow, such as support replies, lead follow-up or document handling, and automates it in one to two weeks. It covers workflow mapping, one AI workflow or agent, integration with your tools, testing, launch and a week of support. The price is fixed before the build starts.

Who this is for

Teams losing hours to manual support, lead follow-up, document work, or disconnected CRM and communication tools.

What the sprint includes

  • Workflow mapping and automation strategy session
  • One high-impact AI workflow or agent
  • Integration with your existing tools (n8n, Make, Zapier, or custom APIs)
  • Testing, deployment, and operator documentation
  • 1-week post-launch support

Typical timeline

One to two weeks, depending on integrations and access to your systems.

Cost

We fix the price after a short discovery, before any build starts. It depends on the number of workflows, channels (web, WhatsApp, Slack, Teams) and any custom API work.

What is not included

  • Multiple unrelated departments in one sprint
  • Custom ML model training from scratch
  • Long-term monitoring beyond the support window

Proof to expect

Before/after workflow map, hours saved estimate, and a live demo your team can operate.

Next step

Book a free 20-minute call or see how AI Projects work.

Topics in this article

  • AI automation sprint
  • workflow automation
  • AI agents
  • operations automation
  • Devsinn Technologies

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