ArgonDigital

World of Workato 2026 in Vegas does not disappoint!

One of the big conversations is Agent sprawl and now MCP sprawl.
As companies move quickly to adopt AI agents, the challenge is shifting from “How do we build an agent?” to “How do we manage all these agents, connections and capabilities without creating a new kind of technology sprawl?”

We are having great conversations with our team, our clients and the Workato community about what this next phase of enterprise AI looks like.

Will you be at World of Workato 2026 next week? If so, please comment so we can connect in Vegas.

How many business analysts does your project actually need?

Explore the factors that can help you choose the right staffing level for your project:
https://hubs.ly/Q04vBG1l0

Two from our Austin crew took teamwork to Lady Bird Lake, Argon Digital hats and all. Same team. Different kind of alignment. 🚣

The “why,” “what,” and “how” of a project are connected, but too often they’re buried in 3 separate documents that quickly fall out of sync.

Check out this 2 minute video to see how Business Requirement Docs, User Recs and Software Requirements Specs are inter-related and why they should remain connected as the project evolves:

Requirements aren't all the same: difference between why, what and how. How Business Requirement Docs, User Recs and Software Requirements ...

The Austin team traded workflows for queso. 🌮

Your happy path has blind spots.
State models help you find them before development does.

Read more:
https://hubs.ly/Q04tpSMB0

Not all requirements do the same job. Understanding the difference keeps teams aligned—and solutions tied to real outcomes.

Read more on our blog: https://hubs.ly/Q04stQrn0

Our team’s adventures don’t stop when the workday ends. We've been taking the ArgonDigital spirit wherever we go and bringing a little company swag along for the journey.

“The only place success comes before work is in the dictionary.” — Vince Lombardi

For automation projects, the dictionary must come before the work or missing definitions, conflicting assumptions, and costly rework may come before success.

Read out latest blog to learn how to create a data dictionary: https://hubs.ly/Q04rk3LF0