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VercelVercel

Stay on top of your team's AI usage

Generate ROI. Not AI slop.

Archival lets managers oversee how their teams use AI, so they can protect work quality while maximizing productivity gains.

archivalteams.com
A
Team overview
Last 7 days
What did the team accomplish with AI this week?
Active users
12
of 14 members
Top use case
Code review
38% of sessions
Quality signal
Positive
Trending up
Recent activity
S.M.
Drafted client deliverable outline, iterated on structure
via Claude
2h ago
R.K.
Refactored authentication middleware with tests
via Copilot
3h ago
J.L.
Researched competitive positioning for Q2 strategy
via ChatGPT
4h ago

Integrations

OpenAIOpenAI
GeminiGemini
ClaudeClaude
GithubCopilotGithubCopilot
CursorCursor
WindsurfWindsurf
DeepSeekDeepSeek
GrokGrok
PerplexityPerplexity
Using an AI tool not listed? Let us know

The visibility gap

AI is reshaping your team's performance. Do you know what's helping and what's hurting?

Your team is getting work done with AI, but the process is invisible. Archival shows you what's happening at the team and individual level, so you can understand what's working and what needs to change.

Analyze AI usage through the Archival dashboard or monitor passively with automatic alerts.

#
#team-ai-updatesvia Archival
Weekly digestToday, 9:00 AM

AI usage increased 18% this week. Code generation remains the top use case. 3 team members started using AI for client communication drafting.

Trend flagYesterday, 2:15 PM

Two users are spending significant time on repeated prompt iterations for data formatting. This may indicate a workflow that could be automated.

HighlightYesterday, 10:30 AM

R.K. used Copilot to complete a 3-day refactoring task in under a day. Test coverage was maintained.

Beyond activity metrics

Understand how your team is using AI.

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.

A
Qualitative analytics
Engineering team · March 2026
By use case
By user
By tool
Use case breakdown
Code generation34%
Code review assist22%
Documentation drafting18%
Research and analysis15%
Client communication11%
Quality signals
Code generationHigh quality

Test pass rates stable. AI-assisted code has comparable defect rates to manual code.

Client communicationNeeds review

3 drafts required significant manual revision. Consider shared prompt templates.

Research tasksHigh quality

Faster turnaround on competitive analysis. Sources consistently verified.

Insight

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 Report
Q1 2026 · Executive summary
Export PDF
89%
Team adoption
2.4x
Avg. throughput gain
$42K
Est. quarterly value
Executive summary

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.

Recommendations
  • 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

Generate custom performance reviews for your company's AI usage.

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.

Security

Built with security in mind from day one.

Archival handles sensitive usage data. Our architecture was designed around that reality from the start, with robust safeguards to protect your data and your team.

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.

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See how your team uses AI

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