AI tools tripled code output, but docs fell behind, approvals waited, and feedback got lost in Slack. Custom Agents now handle all three.
A UK fintech that tripled code output with AI coding tools, shipping multiple product releases weekly across a Notion-based knowledge base, internal documentation, and customer-facing FAQs.
The manual processes surrounding engineering delivery couldn't keep pace with the accelerated shipping cadence. Product documentation fell behind...
“When your code production increases, your manual processes suddenly become the limiting factor. Our product owners were ready to deploy changes, but the engineering teams couldn't get them out the door because of the administrative overhead.”
Spend management and international payments platform for businesses.
A new tool that blends your everyday work apps into one. It's the all-in-one workspace for you and your team.
Equals Money's Release cycle automation is part of this use case:
Related implementations across industries and use cases
Tripled coding output bottlenecked at manual admin. Now, AI agents monitor Slack to auto-update docs and run first-pass tech reviews.
Meeting notes updated by hand, context re-explained with every request. Now agents keep the knowledge clean and run 2,000 workflows a day.
Nastya wrote specs three times per feature, plus a week of competitive research. Now she writes once—AI handles desktop, web, and mobile.
Tripled coding output bottlenecked at manual admin. Now, AI agents monitor Slack to auto-update docs and run first-pass tech reviews.
Meeting notes updated by hand, context re-explained with every request. Now agents keep the knowledge clean and run 2,000 workflows a day.
Quarterly compliance updates meant costly reshoots. Now scripts regenerate instantly — no cameras, no vendors, no delays.
Most AI tools addressed one step—code review or a single feature—and couldn't run in-house. Factory covers the full SDLC, on-premise.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
AI tools tripled code output, but docs fell behind, approvals waited, and feedback got lost in Slack. Custom Agents now handle all three.
A UK fintech that tripled code output with AI coding tools, shipping multiple product releases weekly across a Notion-based knowledge base, internal documentation, and customer-facing FAQs.
The manual processes surrounding engineering delivery couldn't keep pace with the accelerated shipping cadence. Product documentation fell behind...
“When your code production increases, your manual processes suddenly become the limiting factor. Our product owners were ready to deploy changes, but the engineering teams couldn't get them out the door because of the administrative overhead.”
Spend management and international payments platform for businesses.
A new tool that blends your everyday work apps into one. It's the all-in-one workspace for you and your team.
Equals Money's Release cycle automation is part of this use case:
Related implementations across industries and use cases
Tripled coding output bottlenecked at manual admin. Now, AI agents monitor Slack to auto-update docs and run first-pass tech reviews.
Meeting notes updated by hand, context re-explained with every request. Now agents keep the knowledge clean and run 2,000 workflows a day.
Nastya wrote specs three times per feature, plus a week of competitive research. Now she writes once—AI handles desktop, web, and mobile.
Tripled coding output bottlenecked at manual admin. Now, AI agents monitor Slack to auto-update docs and run first-pass tech reviews.
Meeting notes updated by hand, context re-explained with every request. Now agents keep the knowledge clean and run 2,000 workflows a day.
Quarterly compliance updates meant costly reshoots. Now scripts regenerate instantly — no cameras, no vendors, no delays.
Most AI tools addressed one step—code review or a single feature—and couldn't run in-house. Factory covers the full SDLC, on-premise.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.