Our AI agents saved a company $120K/yr in engineering costs
What if your team could save $120K/year and ship features 8x faster? Would you take the leap?
Eni and Chris at Travel Spoken took the jump and the results speak for themselves:
💰 $120,000/year projected savings
⏱️ 7 hours reclaimed every single day
⚡ Feature turnaround: From ~1 day down to ~1 hour
But if you’ve tried deploying AI tools in your workflow before, you know the hidden catch.
Most tools actually increase management overhead. Engineers end up spending more time juggling platforms, tweaking and rewriting prompts, and correcting massive context loss than they do writing code. The coordination tax doesn't disappear…it just moves.
That’s why Travel Spoken took a completely different approach.
Instead of forcing new systems on their team, they plugged Choji directly into the stack they already live in: Jira and GitHub.
There was no new software to learn and it took about 5 minutes to get setup. And, Because Choji integrates natively, their agents instantly absorbed the full context of their codebase, backlog, and business with zero manual handoffs.
No context loss. Just pure ease of use.
To test it, their CTO–Chris Walsh–gave Choji a genuinely complex feature request that was sitting in their backlog.
Because Choji handles the entire agent orchestration autonomously, Chris didn't have to piece things together or manage multiple prompts. Choji read the ticket, understood the context, wrote the code, ran the tests, and opened a complete, shippable PR for review. All on its own.
Chris’s reaction says it all:
“Now that I know [Choji] works, I’m going to try and clear the whole Jira board.”
The bottom line? AI should be a force multiplier, not a project management chore.
When your tools integrate with your current workflow, the context-switching tax completely vanishes. Choji's end-to-end agent orchestration means your engineers can stop managing AI and get back to doing what they do best: building the future.
So thankful to have partners like Eni Maj and Christopher Walsh at Travel Spoken who took the leap with Choji and we love seeing their velocity take off!
Here's a link to the case study if you're interested: https://choji.ai/case-studies/travel-spoken , and if you want to try Choji yourself it's free to get started and takes about 10 minutes to ship your first pull request for free: https://choji.ai/
The part that stood out wasn't the engineering savings—it was removing the coordination layer around AI. A lot of teams discover that the hidden cost isn't generating code, it's managing prompts, context, and handoffs. When AI fits into the workflow people already use, the productivity gain tends to come from eliminating that friction rather than just writing code faster.