Navigara
Measure the engineering capacity AI adds and connect the gains to your roadmap and revenue
About Navigara
Navigara measures the real capacity AI adds by comparing engineering before and after adoption, breaks the gains down by team, separates feature work from bug fixes and maintenance, and prices AI by net new capacity. It also connects to Jira, linking AI-driven capacity to the roadmap and to months of earlier delivery, helping teams turn an AI bill into a discussable list of features. Built for engineering organizations that need to evaluate adoption, analyze work quality, and explain returns to the business.
Best for
Best use cases
Compare engineering capacity before and after AI adoption
Analyze the mix of feature, bug fix, and maintenance work
Account for AI cost by net new capacity
Align AI capacity with the Jira roadmap
Features
Capacity measurement
Converts AI gains into net new engineer capacity, with views by team.
Work mix analysis
Separates feature work from bug fixes and maintenance so a single gain figure doesn't distort the picture.
AI cost accounting
Prices AI by net new capacity instead of using pull request counts as the denominator.
Roadmap alignment
Connects to Jira to tie AI cost to roadmap items and months of earlier delivery.
Pros
- Evaluates AI gains by net new capacity rather than code activity
- Shows capacity changes by team to support follow-up decisions
- Analyzes work mix, cost, and roadmap payoff together