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AWS for Software Companies Podcast
2w ago·43m
Ep211: Going All In - How Monday.com Rebuilt Its Mission With Agentic AI
With 250,000 customers and $1.2B in revenue, Monday.com's CPTO explains why they threw out their roadmap and rebuilt everything around agentic AI.
Topics Include:
Daniel Lereya joined Monday.com when it had just 30 people and five engineers.
He grew the R&D org from five engineers to roughly 900 over a decade.
Three years ago Daniel became Monday.com's first ever CPTO.
Monday.com initially approached AI by adding small features across the product.
They called this early phase "sprinkling AI dust" — helpful but not transformative.
A pivotal board meeting made Daniel realise AI hadn't changed Monday's core value.
Monday.com decided to rethink its mission from first principles around AI.
The new mission: AI agents that actually execute work, not just manage it.
AI gives businesses an "infinite workforce" regardless of company size.
Agents can now do hyper-personalised work at a scale humans simply cannot.
Monday's platform puts agents at the centre, replacing boards and dashboards.
Shared context and human-in-the-loop handoffs make their agents uniquely powerful.
Monday ran an "AI month" — pausing the entire 900-person builder org to transform.
The month rebuilt team mindset and energy, reminding staff of early startup days.
Monday also ran an "agentic week" where every department built their own agents.
Finance built agents to automatically match incoming payments to customer accounts.
Scaling AI adoption internally remains the biggest challenge across businesses today.
Monday introduced "effective AI" — balancing capability with cost efficiency.
They acquired voice AI startup One AI to add specialised model capabilities.
On pricing, Monday shifted to a hybrid seats-plus-AI-credits consumption model.
Participants:
Daniel Lereya – Chief Product and Technology Officer, Monday.com
Kamil Davidov – Sales Leader Israel ISV-BizApps, Amazon Web Services
Johan Broman – EMEA ISV Head of Solutions Architecture, Amazon Web Services
See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
Topics Include:
Daniel Lereya joined Monday.com when it had just 30 people and five engineers.
He grew the R&D org from five engineers to roughly 900 over a decade.
Three years ago Daniel became Monday.com's first ever CPTO.
Monday.com initially approached AI by adding small features across the product.
They called this early phase "sprinkling AI dust" — helpful but not transformative.
A pivotal board meeting made Daniel realise AI hadn't changed Monday's core value.
Monday.com decided to rethink its mission from first principles around AI.
The new mission: AI agents that actually execute work, not just manage it.
AI gives businesses an "infinite workforce" regardless of company size.
Agents can now do hyper-personalised work at a scale humans simply cannot.
Monday's platform puts agents at the centre, replacing boards and dashboards.
Shared context and human-in-the-loop handoffs make their agents uniquely powerful.
Monday ran an "AI month" — pausing the entire 900-person builder org to transform.
The month rebuilt team mindset and energy, reminding staff of early startup days.
Monday also ran an "agentic week" where every department built their own agents.
Finance built agents to automatically match incoming payments to customer accounts.
Scaling AI adoption internally remains the biggest challenge across businesses today.
Monday introduced "effective AI" — balancing capability with cost efficiency.
They acquired voice AI startup One AI to add specialised model capabilities.
On pricing, Monday shifted to a hybrid seats-plus-AI-credits consumption model.
Participants:
Daniel Lereya – Chief Product and Technology Officer, Monday.com
Kamil Davidov – Sales Leader Israel ISV-BizApps, Amazon Web Services
Johan Broman – EMEA ISV Head of Solutions Architecture, Amazon Web Services
See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
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