Everyone is asking how AI will replace jobs.
I think the better question is:
What repetitive tasks can AI remove so people can focus on more valuable work?
In the software we build we always see process as the problem.
I’ll be using this account to share what I’m learning while building software companies, working with clients and implementing AI in the real world.
Just lessons, wins and mistakes.
One thing I’ve learned from building software
The people closest to the problem often have the best solution.
Not the directors.
Not the consultants.
The person doing the task every single day.
That’s who we try to speak to before writing a single line of code.
Most software projects don’t fail because of bad code.
They fail because nobody agreed what success looked like before development started.
The best developers I’ve worked with spend less time coding and more time understanding the problem.
Agencies need to stay flexible.
A spec written on day one rarely survives real-world usage unchanged. The best results come from working closely together and quick adaptation
A lot of law/case firms are still running 1000's of cases on tools designed in 2005.
Case management software should be:
- simple
- auditable
- automated
https://t.co/Cs5XaveBHR
An amazing use of AI through our software is to make it feel simple, yet behind the UI it is so complex, removing stress for users and freeing up real time!
If your law or case management firm is still managing cases in Excel or an old-school CRM…
You’re losing days every week.
→ No audit trails
→ No RAG tracking
→ No automation
We built a system that fixes all of it.
We’re building something special for case management teams:
→ Track every case lifecycle
→ Custom workflows
→ Email/SMS/WhatsApp triggers
→ Full audit trail
It’s SaaS, but with real operational DNA