Tripled coding output bottlenecked at manual admin. Now, AI agents monitor Slack to auto-update docs and run first-pass tech reviews.
A UK financial technology company shipping multiple product releases a week after AI coding tools tripled its engineering output.
As code production increased, manual administrative processes became a critical bottleneck that held back deployments. Small feature updates and...
“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.”
Equals Money's Workflow automation is part of this use case:
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.
Related implementations across industries and use cases
Knowledge was trapped in scattered tools. Now, AI scans Slack and GitHub to answer questions in a single workspace.
Buried under 25k monthly queries, agents faced burnout. An AI now runs eligibility checks and resolves 64% of cases, clearing the backlog.
Fragmented logs and manual tests slowed velocity. Claude Code fixes bugs and aggregates data, cutting incident triage time by 80%.
Analysts relied on engineers for data tasks. Now, AI agents collapse 120-step workflows into single actions using plain text commands.
Isolated AI tools fragmented engineering workflows. Now, embedded agents run dozens of concurrent tasks, routing outputs for human review.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Tripled coding output bottlenecked at manual admin. Now, AI agents monitor Slack to auto-update docs and run first-pass tech reviews.
A UK financial technology company shipping multiple product releases a week after AI coding tools tripled its engineering output.
As code production increased, manual administrative processes became a critical bottleneck that held back deployments. Small feature updates and...
“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.”
Equals Money's Workflow automation is part of this use case:
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.
Related implementations across industries and use cases
Knowledge was trapped in scattered tools. Now, AI scans Slack and GitHub to answer questions in a single workspace.
Buried under 25k monthly queries, agents faced burnout. An AI now runs eligibility checks and resolves 64% of cases, clearing the backlog.
Fragmented logs and manual tests slowed velocity. Claude Code fixes bugs and aggregates data, cutting incident triage time by 80%.
Analysts relied on engineers for data tasks. Now, AI agents collapse 120-step workflows into single actions using plain text commands.
Isolated AI tools fragmented engineering workflows. Now, embedded agents run dozens of concurrent tasks, routing outputs for human review.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.