The Builder’s Blueprint for Production-Ready Agentic Workflows

Jeffrey Wong headshot
3 min read
Summarize this with AI

AI agents are exciting but building one that’s actually ready for production and yields a meaningful impact is a whole different story.

The challenge isn’t just creating an agent that can perform a task. It’s creating an agentic workflow that securely connects to all the right data sources, respects governance requirements, fits within how people actually work, and delivers production-ready results. Without the right foundation, even the most advanced and thought out plans will struggle to be successful or adopted. 

The challenge with building agentic workflows

Many AI projects fail to be successes because teams underestimate the data challenge and technical complexity. In the real world, an agent needs to work across:

  • Multiple data sources — from CRM and ERP systems to unstructured documents and APIs
  • Different application environments — cloud, on-premises, and hybrid setups
  • Strict governance and security requirements — so sensitive information stays protected and compliant
  • Varying data formats — structured, semi-structured, and unstructured data across multimodal data

If those connections aren’t reliable, secure, governed, and delivering high-quality data, the agent’s outputs can’t be trusted. The adage, “garbage in, garbage out” will hold true.  If people sense the outputs can’t be trusted, then the project won’t be adopted.

That’s why agentic workflow design and data orchestration are just as important as the AI itself.

Inside the builder’s blueprint

In our upcoming Agentic Builders webinar series, we will dive under the hood and take a look inside the process of building an agentic workflow that’s ready for the real world — from first idea all the way to measurable business impact. You’ll see how we:

  • Map the business problem and define success criteria
  • Connect and govern data originating from multiple trusted sources
  • Design a workflow blueprint that orchestrates tasks end-to-end
  • Bring it to life with a live demo in the SnapLogic platform
  • Measure the real results once the workflow is in production

Sneak peek: Sales agent in action

In the first session — Automate Smarter Selling with a Custom Sales Agentic Workflow (live on August 28, 9 am PT) — we’ll demonstrate how to turn raw sales calls into actionable intelligence.

You’ll see how the workflow:

  • Ingests call transcripts from tools like Chorus
  • Auto-grades conversations, summarizes key moments, and extracts next steps
  • Updates records automatically in Salesforce, keeping your CRM accurate and reducing manual work
  • Seamlessly integrates into a person’s existing processes and workflows 

This demo brings the builder’s blueprint to life by showing the value of secure, governed data feeding into intelligent agent workflows.

Why this series matters

The Agentic Builders series is designed for anyone who wants to move beyond AI experimentation and start delivering production-ready results. Across the series, we break down real builds step-by-step so you can see exactly how to:

  • Identify the right use cases
  • Architect workflows that are secure, governed, and scalable
  • Connect AI to the data and systems it needs — without adding complexity
  • Prove business impact quickly

Join us and start building

 If you’re serious about AI in the enterprise, you need to be serious about your workflows.

Register for the Agentic Builders series and learn how to design agentic workflows that are secure, governed, and trusted.

Jeffrey Wong headshot
Director of Technical Product Marketing at SnapLogic
Category: AI
The Builder’s Blueprint for Agentic Workflows

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