# ROI: what outcomes should we expect?

**Cosine delivers measurable productivity gains for engineering teams, with faster delivery cycles, reduced backlog, and higher test coverage.** By automating repetitive coding tasks, Cosine helps teams focus on high-value work and ship more reliably.

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### Key impact metrics

#### Faster delivery cycles

Teams using Cosine typically see a **20–40% reduction in cycle time**, thanks to automated task completion and PR generation. Routine engineering work — bug fixes, test creation, dependency updates — happens in parallel, freeing developers to focus on innovation.

#### Backlog reduction

Cosine can autonomously resolve **30–40% of backlogged issues** that otherwise would remain untouched. It takes tasks directly from Jira, GitHub, or Linear, producing validated PRs that pass CI/CD checks.

#### Increased PR throughput

Customers report significant gains in output:

* One enterprise customer cleared a **multi-hundred-ticket backlog in under an hour** using Cosine’s parallel tasking.
* Cosine’s own engineering team has merged **1,900+ PRs since June** using the platform internally.

#### Improved test coverage and quality

By automatically generating unit and integration tests, Cosine improves coverage and reduces regressions. Its validation loop catches bugs earlier, reducing mean time to resolution (MTTR).

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### Financial and productivity ROI

| Metric                        | Before Cosine | After Cosine | Improvement |
| ----------------------------- | ------------- | ------------ | ----------- |
| **PRs merged per month**      | 100           | 160          | +60%        |
| **Mean time to merge (MTTM)** | 3.5 days      | 2.0 days     | -43%        |
| **Unresolved backlog items**  | 1,000+        | <600         | -40%        |
| **Test coverage**             | 55%           | 75%          | +20 pts     |

*Representative metrics from customer pilots and internal use.*

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### Strategic outcomes

* **Higher engineering velocity:** Teams can deliver more features per quarter without increasing headcount.
* **Reduced operational debt:** Backlogs shrink, documentation improves, and refactors happen proactively.
* **Better morale and retention:** Engineers spend less time on repetitive work and more on impactful problems.

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### Real-world example

A financial institution used Cosine to automate a major cloud migration. The project, originally scoped for four weeks, was completed in two — with improved code quality and zero regression bugs post-merge.

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### Related pages

* [What problems does Cosine solve for engineering teams?](https://docs.cosine.sh/~/revisions/wUQVvs5u0KynB9oyorc7/faqs/getting-started/what-problems-does-cosine-solve-for-engineering-teams)
* [What does implementation look like?](https://docs.cosine.sh/~/revisions/wUQVvs5u0KynB9oyorc7/faqs/deployment-and-roi/what-does-implementation-look-like)
* [Pricing and licensing options](https://docs.cosine.sh/~/revisions/wUQVvs5u0KynB9oyorc7/faqs/deployment-and-roi/pricing-and-licensing-options)

→ Next: [How does Cosine compare to alternatives?](https://docs.cosine.sh/~/revisions/T8Q9ArdldO54SGAVJCF1/faqs/deployment-and-roi/how-does-cosine-compare-to-alternatives)
