Keep up with your team's AI usage
Archival gives managers visibility into how their teams use AI, with direct observability and qualitative analytics at the team level and per user.
The visibility gap
AI changed how your team works. Your visibility didn't.
Your team is producing results with AI, but the process behind those results is invisible. You see the output. You don't see where time went, which tools helped, or where quality is at risk.
Archival surfaces what's happening at the team level and per user, so you can have informed conversations about what's working and what needs to change.
AI usage increased 18% this week. Code generation remains the top use case. 3 team members started using AI for client communication drafting.
Two users are spending significant time on repeated prompt iterations for data formatting. This may indicate a workflow that could be automated.
R.K. used Copilot to complete a 3-day refactoring task in under a day. Test coverage was maintained.
Beyond activity metrics
Understand what your team is doing with AI, not just how much
Most tools count tokens and sessions. Archival contextualizes quantitative data with qualitative insights, so managers can see where AI is creating real value and where workflows need attention.
Test pass rates stable. AI-assisted code has comparable defect rates to manual code.
3 drafts required significant manual revision. Consider shared prompt templates.
Faster turnaround on competitive analysis. Sources consistently verified.
Your team's AI usage is concentrated in high-quality use cases. Client communication is a new and growing category that may benefit from shared guidelines or prompt templates.
AI adoption reached 89% of the engineering team this quarter, up from 64% in Q4. The highest-value use cases remain code generation and code review, which together account for 56% of AI-assisted work. Quality indicators are positive across both categories.
- 1.Expand AI-assisted code review to the platform team
- 2.Create shared prompt templates for client-facing drafts
- 3.Review low-adoption users for training opportunities
Reporting that drives decisions
Turn AI usage data into reports your leadership will read
Archival generates clear, customizable reports that summarize how your team uses AI, what value it creates, and where to invest next. Built for leadership reviews, board updates, and budget conversations.
Stop defending AI spend with anecdotes. Start showing the data.
Security
Built with security in mind from day one
Archival handles sensitive usage data. Our architecture was designed around that reality, not retrofitted for it.
We are early-stage and transparent about where we are. We are happy to walk through our practices in detail.
Encryption
Data encrypted in transit and at rest. Key management follows industry-standard practices.
Tenant isolation
Customer data is logically separated. No cross-tenant access by design.
Access control
Least-privilege access model with role-based permissions. Production access is logged.
Get started
See how your team uses AI
Archival helps managers keep up with team AI usage. Book a demo to see qualitative analytics and direct observability in action.