Manage Projects
With the Work Data
Behind Them.
Ralvie AI Productivity connects projects with the activity, time, tasks, and people driving them forward. Track effort, generate AI updates, and understand workload and delivery without depending entirely on manual status reporting.
Delivery command center
Strong progress on frontend development and responsive implementation. CMS integration and final QA remain in progress.
Next: begin production QAKnow the status.
Understand the work behind it.
To do, in progress, and done do not explain who is contributing, where time is going, whether workload is balanced, or why one task is taking longer than expected.
Connect real work with every project.
Project work happens across development tools, design apps, documents, browsers, spreadsheets, communication tools, meetings, and business systems. Ralvie turns that activity into project intelligence.
Everyday activity becomes project context.VS Code · Chrome · Figma
Frontend & content work
Ralvie website
Productivity use-case pages
Give big initiatives a
clear work structure.
Turn complex initiatives into an organized system of owners, priorities, milestones, tasks, deadlines, and dependencies. Bring activity, time, workload signals, AI summaries, and project analytics into one living record so everyone knows what is moving, what needs attention, and what to do next.
Website redesign
Build AI Frontdesk product page
Move beyond estimated hours.
Compare planned and actual effort, understand task complexity, and surface work that may become a delay before the deadline tells you.
Frontend development
Responsive testing
CMS integration
The team focused on completing Ralvie AI Productivity use-case pages. Employee Productivity and Time Tracking moved to implementation, while Project Management and responsive QA remain in progress.
Let the work generate the update.
Create daily, weekly, or custom-period summaries from underlying activity. Enter meetings with context already prepared and spend the time on blockers, priorities, dependencies, and decisions.
Less status collection. More project management.See who is contributing—and where.
Product launch
Allocation by contributor
Investigate risk earlier.
Estimate the next project better.
Increasing time, long-running tasks, project switching, meeting load, concentrated workload, QA, and rework provide useful signals—not automatic conclusions, but better questions.
Time acceleration
Effort rose 24% this week, signaling scope growth or an emerging delivery bottleneck.
Long-running task
Responsive QA is exceeding its estimate and may put the planned launch date at risk.
Concentrated workload
Two contributors carry 68% of total effort, creating dependency and capacity risk.
Repeated rework
Three QA cycles reveal recurring issues that may need a deeper root-cause review.
Meeting overhead
Coordination time increased 18%, reducing the hours available for focused project delivery.
Historical planning
Similar projects averaged 138 hours, providing a stronger baseline for the next estimate.
Bring progress, time, tasks, and workload together.
Project intelligence dashboard
Project intelligence for every team.
Product teams
Connect research, design, development, testing, and documentation to roadmaps, releases, and measurable delivery outcomes.
Engineering
Understand effort, technical complexity, workload, focus time, and delivery risk across every active engineering initiative.
Marketing
Coordinate campaigns, content, creative production, approvals, analytics, and launches with a complete view of progress and effort.
Agencies & services
Track activity, time, capacity, and deliverables across clients and engagements while protecting margins and delivery quality.
Operations
Monitor internal initiatives, recurring processes, ownership, dependencies, and cross-functional work from one connected view.
Remote & hybrid
Maintain shared project context, workload visibility, and clear accountability across distributed employees, locations, and time zones.
Keep your existing project workflow
Connect projects, tasks, assignments, statuses, workplace activity, and time context with Jira, Asana, Trello, and other business systems—giving teams richer intelligence without replacing the tools they already use.
Move from manual reporting to
continuous context.
How Ralvie Project Management works.
Create or connect
Define scope, owners, objectives, and milestones—or connect an existing project workspace.
Create tasks
Turn major goals into assigned, prioritized tasks with clear dependencies and deadlines.
Work normally
Keep using the applications, communication tools, and workflows your team already knows.
Capture activity
Automatically collect relevant workplace signals according to your organization’s configuration.
Add AI context
Organize captured activity around the right projects and tasks with useful AI-assisted context.
Reveal effort
Compare time, activity, focus, and contribution to understand where project effort is really going.
Summarize progress
Generate evidence-based updates covering achievements, blockers, risks, and recommended next steps.
Analyze
Monitor project health, workload, progress, and historical trends to improve planning and delivery.
Project intelligence, explained.
Manage with better context—not more interruptions.
What is Ralvie AI Project Management?+
Ralvie combines projects and tasks with workplace activity, time tracking, AI summaries, workload context, and productivity analytics to explain how project work is progressing.
Can we create projects and tasks in Ralvie?+
Yes. Project and task workflows organize captured workplace activity around real business initiatives.
Can Ralvie automatically identify project activity?+
Captured activity and AI-assisted workflows can help associate relevant work with projects and tasks.
Can project time be tracked automatically?+
Automatic workplace activity provides context for understanding time spent on projects.
Can we see time at the task level?+
Yes. Task-level context helps teams understand how much effort individual pieces of work require.
Does Ralvie provide project summaries?+
AI Summary capabilities can generate structured progress updates using project-related activity.
Can managers see team workload?+
Work-distribution insights help managers understand workload across employees and projects.
Can Ralvie identify project bottlenecks?+
High task effort, concentrated workloads, repeated activity, and increasing project time provide useful signals to investigate.
Can Ralvie help improve project estimates?+
Historical project and task effort provides stronger context when planning similar work.
Can employees review project timesheets?+
AI-assisted workflows help employees review time associated with relevant projects and tasks.
Does Ralvie support remote projects?+
Yes. Ralvie supports remote, hybrid, office, and distributed project teams.
Can Ralvie connect with Jira, Asana, or other tools?+
Connected workflows can complement existing project systems depending on available integrations and configuration.
Does Ralvie replace our existing project-management tool?+
It supports direct project workflows while also complementing existing platforms with work-intelligence context.
Does Ralvie measure project success only by hours?+
No. Time is one source of context alongside progress, deliverables, workload, complexity, quality, and outcomes.
Is Ralvie intended for micromanagement?+
No. Ralvie is designed for responsible project intelligence and should be used transparently according to workplace and privacy policies.
Improve Workforce ProductivityWith Ralvie AI
Ralvie AI Productivity helps businesses improve workforce visibility, automate time tracking, simplify reporting, and gain actionable insights into how teams spend their time through AI-powered productivity management.
Smarter workforce visibility. Less manual reporting. Better productivity decisions.