Blog
Insights and tips on productivity, time tracking, and building better work habits.
macgill davis · May 18, 2026
Best Billable Hours Tracking by Project (2026)
Compare the best tools for tracking billable hours by project. Rize vs Harvest, Toggl Track, FreshBooks, and QuickBooks Time for automated billing.
macgill davis · May 18, 2026
Best Project Time Tracking for Consulting Firms and Agencies
Compare the best project time tracking tools for consulting firms and agencies. Rize vs Harvest, Kantata, Scoro, and Wrike for automatic project allocation.
macgill davis · May 18, 2026
Best Remote Employee Productivity Monitoring Tools (2026)
Compare the best remote employee productivity monitoring tools. Rize vs ActivTrak, Hubstaff, Time Doctor, and Teramind for distributed teams.
macgill davis · May 18, 2026
Best Team Time Tracking Dashboards for Visibility: Rize vs Clockify, Monday.com, Toggl Track, Harvest (2026)
Rize is the best team time tracking dashboard for visibility: automatic capture and AI categorization show real-time utilization and billable hours.
jonathan wu · May 16, 2026
AI Usage Tracking for Teams: ATT vs Manual Surveys
Manual AI usage surveys miss 78% of actual tool usage. ATT captures every AI tool per employee automatically. Here is how the three approaches compare.
jonathan wu · May 15, 2026
GitHub Copilot ROI: What the Data Actually Shows
Microsoft says Copilot saves 3 hours per week. But 40% of AI time savings are lost to rework. Here is the real Copilot ROI math and how to measure yours.
jonathan wu · May 14, 2026
How to Measure AI ROI Without Guessing
67% of enterprises estimate AI ROI instead of measuring it. Here is the formula, per employee and per project, using ATT data instead of vendor dashboards.
jonathan wu · May 13, 2026
AI Adoption by Industry in 2026
AI adoption varies up to 3x by industry. Agencies lead on creative AI, tech dominates coding tools, and professional services spend the most per employee.
jonathan wu · May 13, 2026
AI Adoption Trends: 2024-2026 Data
AI adoption statistics from 2024 to 2026 show three phases: experimentation, adoption, and infrastructure. Rize tracking data shows what is accelerating.
jonathan wu · May 13, 2026
AI Tool Pairings: What 30K Workers Use Together
We tracked AI tool usage across 30,000 knowledge workers. Here are the most common tool pairings, hours per tool, and which stacks are gaining fastest in 2026.
macgill davis · May 13, 2026
Best Alternatives to Employee Monitoring Software (No Screenshots)
7 employee monitoring alternatives without screenshots. Compare Rize, Timely, Memtime, DeskTime, TimeCamp, Toggl, and Clockify for privacy-first tracking.
jonathan wu · May 13, 2026
Pre-IPO Work Patterns: What the Data Shows
How do pre-IPO startups actually work? Data from 30,000 Rize users shows more focus time, more AI tools, and more weekend hours than public company peers.
jonathan wu · May 13, 2026
How to Detect Shadow AI With Automatic Tracking
78% of workers use unapproved AI tools costing $412K/year. ATT detects shadow AI automatically. No surveys, no browser extensions. 3-step playbook.
jonathan wu · May 12, 2026
AI Governance Starts With Visibility
You cannot govern AI tools you cannot see. 78% of employees use unapproved AI. ATT gives compliance teams automatic visibility into every AI tool in use.
macgill davis · May 12, 2026
Best Automatic Time Tracking for Windows
The best automatic time tracking apps for Windows 10 and 11. Rize, Timely, TimeCamp, and Toggl tested for background capture, accuracy, and team reporting.
jonathan wu · May 9, 2026
How to Measure ROI After AI Agent Deployment
AI agent deployment without measurement is guesswork. How to measure ROI per employee with Agent Token Tracking (ATT) and AI Yield Optimization (AYO).
jonathan wu · May 7, 2026
AI Budget Planning for Teams: How to Set, Track, and Defend Your AI Spend
A practical guide to AI budget planning for teams: per-employee benchmarks, shadow AI discovery, and how to build a budget your CFO will approve.
jonathan wu · May 7, 2026
AI Cost Management Is Broken — Here Is What Comes Next
AI cost management tracks tokens but not people. ATT and AYO close the gap between what you spend on AI and what you get back per employee.
jonathan wu · May 7, 2026
AI Cost Optimization: From Token Tracking to Productivity ROI
AI cost optimization starts with token tracking but stops short of measuring productivity. How to move from LLM cost control to per-employee AI yield.
jonathan wu · May 7, 2026
AI Spending Per Employee: The $2,068 Benchmark Your CFO Needs
How much should you spend on AI per employee? The 2026 benchmark is $2,068, but there is a 14x gap between median and top spenders. How to find your number.
jonathan wu · May 7, 2026
How to Reduce AI Costs Without Cutting Usage
Five strategies to reduce AI costs without cutting usage: kill shadow AI duplication, route models by task, right-size licenses, and set per-project caps.