u/AffectionatePhone312

After spending years working with traditional automation tools, one thing I kept seeing repeatedly was how difficult workflow creation still feels for many business users and smaller teams.

So over the last several months, my team and I built an AI-assisted workflow automation studio focused on making automation more approachable.

A few things we experimented heavily with:

• Generating workflows from natural language prompts
• Recording user actions into reusable automation steps
• Visual drag-and-drop editing after AI generation
• Self-healing selector and repair concepts
• Keeping workflows understandable instead of hiding everything behind AI abstraction

The interesting part so far:
AI workflow generation itself is becoming relatively achievable.

The harder engineering challenge has actually been:
making generated workflows maintainable, editable, and stable in real-world automation scenarios.

Especially around:

• selector reliability
• debugging
• workflow readability
• balancing AI flexibility with deterministic execution

Curious how others here see the industry evolving over the next few years.

Do you think the future of RPA becomes:

• AI copilots assisting workflow builders?
• fully autonomous agents?
• or hybrid human + AI workflow systems?

After spending months working deeply around workflow automation, one thing surprised me:

Generating workflows is becoming easier very quickly because of AI.

Maintaining them reliably in real-world environments still feels like the harder problem.

Especially things like:

• selector changes
• edge-case handling
• debugging failed runs
• making workflows understandable for non-technical users
• balancing AI-generated logic with human maintainability

A lot of current discussion in automation focuses on “AI can build workflows now.”

But I’m more curious about the next layer:
How do we make those workflows stable, editable, and maintainable months later?

Curious how others in RPA are thinking about this shift.

Do you think future automation tools will move toward:

• AI-assisted workflow building?
• autonomous agents?
• or better human + AI collaboration models?

[ Removed by Reddit on account of violating the content policy. ]

Over the last several months, I built an AI-native workflow automation product from Chennai.

The idea was simple:
make automation easier for normal users, not just developers or enterprise RPA teams.

So I focused heavily on:

• AI-assisted workflow generation
• recording actions into reusable automations
• reducing workflow complexity
• making automation approachable for non-technical users

The product is finally live in beta now.

But honestly, the harder part has started after launch

I was trying to grow organically through:

• LinkedIn
• Twitter/X
• YouTube
• Reddit
• founder outreach
• demo videos
• community discussions

At this stage, I still don’t feel confident spending heavily on marketing agencies or paid growth services, so I’m trying to do most things myself and learn along the way.

Would genuinely appreciate advice from founders here:

What actually helped you get your first real visibility/users in the early stage?
Was it content, communities, partnerships, cold outreach, Product Hunt, SEO… or something else entirely?

Spent the last several months building an AI-assisted workflow automation tool and finally opened the beta this week.

One thing we kept noticing while working in RPA: many business users understand the process perfectly… but struggle with workflow design complexity once they open most automation tools.

So we started experimenting with a few different approaches:

• generating workflows from natural language
• converting recorded screen actions into reusable steps
• reducing selector repair pain
• keeping workflows editable visually instead of hiding everything behind AI

The interesting challenge so far hasn’t actually been AI generation itself.

It’s balancing: "make automation easier"
without making workflows impossible to maintain/debug later.

Curious how others here see the direction of RPA evolving over the next few years.

Do you think future automation platforms will become:

1. AI-assisted workflow builders?
2. mostly autonomous agents?
3. or still heavily human-designed workflows underneath?