ArgonDigital

We brighten our clients' work and save them money by automating mundane tasks with cutting-edge AI and automation technologies.

[ArgonDigital @argon_digital]

Who asked for this requirement? Why? How will we test it?

See where Gen AI chatbots fall short and what to do about it. Read more at https://t.co/zjvOC6C7uE.

[ArgonDigital @argon_digital]

World of Workato 2026 in Vegas does not disappoint!

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

#WorldOfWorkato #WOW2026

[ArgonDigital @argon_digital]

Join us next week at World of Workato 2026, September 22 to 24 at The Cosmopolitan of Las Vegas. Three days of production AI in action, customer ROI stories, and hands-on workshops.

[ArgonDigital @argon_digital]

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://t.co/Gz6k7NI8VT

[ArgonDigital @argon_digital]

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

[ArgonDigital @argon_digital]

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: https://t.co/WKcUxPXNeA

[ArgonDigital @argon_digital]

The Austin team traded workflows for queso. 🌮

[ArgonDigital @argon_digital]

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

Read more:
https://t.co/im5T8TKz8F

[ArgonDigital @argon_digital]

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://t.co/LeZroDXMoa

[ArgonDigital @argon_digital]

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.

[ArgonDigital @argon_digital]

“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.

https://t.co/axhavK9pzi

[ArgonDigital @argon_digital]

Your team’s time is too valuable for endless manual data entry. Automating invoice processing can free people to focus on customers, strategy, and work that needs a human touch.

Learn more: https://t.co/BLORzxa8h3

[ArgonDigital @argon_digital]

Join us at World of Workato 2026, September 22 to 24 at The Cosmopolitan of Las Vegas.

Three days of production AI in action, customer ROI stories, and hands-on workshops.

Early bird pricing ends July 28: https://t.co/ZYBYLOTN75

[ArgonDigital @argon_digital]

Why ask "Why?"

Learn how experienced product managers uncover the business needs behind stakeholder requests:
https://t.co/D3S1dOc3T8

[ArgonDigital @argon_digital]

Most software projects don’t fail because of bad code.

5 common requirements mistakes to avoid: https://t.co/2y7xKzkL2Z

[ArgonDigital @argon_digital]

Most automation projects don’t fail because of technology. They fail because nobody can fully see the process. That’s the production visibility gap. Find out how to fix it:
https://t.co/HtprxtiACp

[ArgonDigital @argon_digital]

Legacy systems aren’t outdated because they’re old. They’re risky because they’re undocumented.

Read more on how to preserve logic: https://t.co/pGAfx8rdz6

[ArgonDigital @argon_digital]

If you’re thinking about how to deliver value faster without breaking your systems, this is the room to be in. The speaker line up looks great!

We’ll be there. Come find us. Get tickets at https://t.co/wedH847wUz

[ArgonDigital @argon_digital]

Most AI initiatives don’t fail on vision - they fail in the details. Use this checklist to pressure-test your execution before small gaps become expensive ones: https://t.co/6tTJki30tx

[ArgonDigital @argon_digital]

A recent MIT report suggests 95% of GenAI pilots fail to scale. The problem isn’t the model — it’s execution.

If AI ROI feels out of reach, orchestration is worth a look. Read more: https://t.co/3m0PreUmsh