Mend AI
A security tool that inventories every AI model, prompt, and dataset a company uses and flags risky or unapproved ones.
AI agents inside the Linear issue tracker that sort and label incoming issues automatically and can set up and test code changes.
Linear AI is the set of AI features built into Linear, a project and issue-tracking tool for software teams, and is not sold separately. The Linear Agent can be assigned an issue like a team member, draft a plan for it, and in some workflows set up, run, and test code before handing the work back for review. A feature called Loops runs recurring automations that react to project changes, such as posting a Slack update when a status changes or editing a linked document. Linear also converts raw customer feedback and support conversations into structured issues that get labeled and routed automatically. These features are available even on the free plan, with paid tiers unlocking fuller usage.
This fits a product or engineering team already using Linear for issue tracking that wants to cut manual triage work and turn feedback into tracked issues faster. A low-risk starting point is turning on automatic triage and labeling for one team's issue queue, expanding into coding-agent workflows later. Pricing starts free for small teams, with a Basic plan near $10 per user per month and a Business plan near $16 that includes the fuller Agent feature set; heavier AI use, such as coding sessions, draws from a metered credit pool. The main risk is skipping review: do not treat agent-drafted code changes or auto-routed issues as final, since routing accuracy depends on how consistently a team already tags and describes its issues.
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $54.4K | $85.5K | $137.2K |
| Three-year total | $118.1K | $177.9K | $274.3K |
| First-year cost per unit | $54.4K | $85.5K | $137.2K |
| Average annual cost per unit (over three years) | $39.4K | $59.3K | $91.4K |
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $18K | $24K | $32.4K |
| Implementation | $8.4K | $14K | $23.8K |
| Integration | $9.9K | $18K | $32.4K |
| Staff time and change management | $6K | $8.5K | $11.9K |
| Security | $4.6K | $6.5K | $9.8K |
| Administration | $3.4K | $4.5K | $6.1K |
| Support | $1.7K | $2.2K | $3K |
Estimate assumptions: Based on 1 production deployment. This is a planning allowance, not verified product pricing. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Define what success looks like for a test of Linear AI and assign someone to lead it.
Once the requirements above are met, compare a small trial with how your team works today.
Track adoption, output quality, business results, and actual costs against the estimate.
Use the results to decide whether to stop, adjust, or expand the pilot.
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
A security tool that inventories every AI model, prompt, and dataset a company uses and flags risky or unapproved ones.
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