SaaS, Project Management and Business Productivity

Clove

AI Project Management Platform That Plans, Staffs and Schedules Work

Clove is a project management and team collaboration SaaS for US startups, agencies and software teams. Built by THE TISA in four months, it uses the OpenAI API to turn a project brief into milestones, sprints, deadlines, a proposed team and assigned tasks that a manager reviews and approves.

USAMarket
4 MonthsTimeline
3 DevelopersProject Team
SaaS, Project Management and Business ProductivityIndustry
Clove AI project management dashboard with sprints, Kanban board and team workload

Executive Summary

Clove

Client
Lane Snuffer
Market
USA
Industry
SaaS, Project Management and Business Productivity
Timeline
4 Months
Team
Project Team - 3 Developers
Services
Generative AI Development, AI Application Development, AI SaaS Development, Custom Software Development
Technology
React.js, TypeScript, Tailwind CSS, Redux
Primary Outcome
1,850 Monthly Active Users

Verified project metrics

Project Outcomes

Clove gave the client a complete AI-powered SaaS platform for startups, agencies, software teams and larger organizations. Its multi-workspace setup allows several customers to use the same platform without requiring a separate system for each business. The subscription model helps the client generate recurring revenue, and the AI planning features give Clove a clear advantage over basic task tools.

The following platform metrics were measured after launch, across all Clove workspaces.

1,850

Monthly Active Users

126

Active Workspaces

84%

Task Completion Rate

78%

On-Time Completion Rate

42 points

Average Sprint Velocity

11%

Overdue Task Rate

  • 735 Active Team Members.
  • 81% Project Completion Rate.
  • 1.8 seconds Average Page-Load Time.
  • 240 ms Average API Response Time.

Project Overview

Clove is a project management and team collaboration platform for software teams, startups, agencies and growing businesses. It helps teams plan projects, assign tasks, manage sprints and track deadlines in one place. Members can comment on tasks, share files and receive real-time updates.

Work can be organized into tasks, stories, bugs, epics and subtasks. Teams can view their work through Kanban boards, lists, calendars and timelines. Dashboards and reports help managers review workload, sprint progress and upcoming deadlines. The platform also supports multiple projects, teams and user roles.

Clove's AI planning layer, built on the OpenAI API, takes the planning work off project managers. It breaks a project brief into milestones and sprints, draws the workflow as a flowchart, sets realistic deadlines, proposes a team based on skills, assigns tasks and sends smart reminders. Managers review and approve every AI-drafted plan before it goes live.

What We Built

We developed a complete project management and team collaboration SaaS with frontend, backend, REST APIs and a structured database. Our work covered secure login, file management, real-time updates, search, role-based access and responsive screens. Key modules included workspaces, projects, sprints, tasks, Kanban boards, team discussions, notifications and reports. We then integrated the OpenAI API to power six AI features: AI sprint planning and milestone breakdown, automatic flowchart design, automated deadlines, smart reminders, AI task assignment and skill-based team building.

Client Background

Lane Snuffer, a US-based founder, wanted to create a complete project management platform for modern teams. He needed more than a basic task management tool. The platform had to support project managers, developers, designers and other team members through different roles and permissions. It also needed to bring planning, tasks, team communication, progress tracking and reports into one place, and to cut the hours managers spend building plans, assigning work and chasing updates. Clove was designed for startups, agencies and larger businesses with different teams and workflows.

Clove project overview showing projects, sprints and task boards

Project Scope

The project included work across the following areas:

  • Business requirement analysis
  • User journey and workflow planning
  • UI/UX design
  • Responsive frontend development
  • Backend and REST API development
  • MySQL database and Redux setup
  • Secure login, roles and permissions
  • Workspace and project management
  • Sprint and backlog management
  • Task and issue tracking
  • Kanban board development
  • Real-time collaboration and activity tracking
  • Notifications, search and filters
  • Dashboards and reports
  • File and document handling
  • OpenAI API integration for AI planning, scheduling and staffing
  • Member skill profiles and capacity tracking
  • Performance, security, testing and deployment

Target Audience

Clove is mainly designed for:

  • Startups
  • Digital and creative agencies
  • Software and product teams
  • Operations teams
  • Small and medium-sized businesses
  • Enterprises with multiple teams and projects

Objectives

The main objectives were to:

  1. 01Simplify project planning and organization
  2. 02Keep tasks, priorities and deadlines clear
  3. 03Improve communication and team collaboration
  4. 04Support Agile and Scrum workflows
  5. 05Track project and sprint progress
  6. 06Manage multiple projects and workspaces
  7. 07Control team roles and permissions
  8. 08Provide clear reports
  9. 09Reduce scattered project information
  10. 10Use AI to automate project planning, scheduling and task assignment
  11. 11Support future business growth

Business Challenge

  1. 01The client needed a complete system to manage project planning, tasks and team communication.
  2. 02Project information was spread across spreadsheets, emails, messaging apps and separate tools. This made updates difficult to find, priorities unclear and responsibilities harder to track.
  3. 03Project managers also had to check task progress, sprint status, deadlines and team workload manually.
  4. 04Turning a client brief into milestones, deadlines and a staffed team took hours of manual planning, and hand-set deadlines rarely matched the team's real capacity.
  5. 05Software teams needed a simple way to manage epics, stories, bugs, subtasks, sprints, backlogs, Kanban boards and release plans.
  6. 06Different users also required separate access based on their roles and responsibilities.
  7. 07The main challenge was to bring planning, collaboration, task tracking, real-time updates, reporting and AI-assisted planning into one secure platform.

Our Solution

We built Clove as a single workspace for project planning, task management and team communication. Teams can create workspaces and projects, define workflows, assign tasks, set priorities and manage deadlines in one place. Software teams can organize work into epics, stories, bugs, subtasks, sprints and backlogs. Kanban boards and sprint tools help them plan work and track progress clearly. We integrated the OpenAI API as a planning engine behind Clove's own backend. A manager enters a project brief, and Clove drafts the milestones, sprints, workflow chart, deadlines, team and task assignments. OpenAI interprets the brief, while Clove's code checks permissions, calculates dates and capacity, and saves changes only after the manager approves. Real-time updates keep assignments, comments, task changes and notifications visible to the team. Project managers can review task progress, sprint status and team workload through dashboards and reports. Role-based permissions give administrators, project managers and team members access based on their responsibilities.

Before → After

Project Management Improvements

Before

Project details were spread across different tools.

After

Projects, tasks and discussions are managed in one place.

Before

Managers built every project plan and set every deadline by hand.

After

AI drafts milestones, sprints and deadlines from a project brief, and managers review and approve.

Before

Work was assigned from memory, and the same people were overloaded.

After

AI assigns tasks and proposes teams based on skills, workload and availability.

Before

Teams relied on spreadsheets for task tracking.

After

Tasks are organized through boards, lists and sprints.

Before

Updates were shared through long email or chat threads.

After

Comments and updates stay connected to the related task.

Before

Managers had to collect progress manually.

After

Dashboards show project, sprint and task progress, and smart reminders flag real risks.

Before

Task ownership and priorities were often unclear.

After

Each task includes an owner, priority, status and due date.

Before

Access was difficult to control across teams.

After

Role-based permissions manage workspace and project access.

  • Before: Past project changes were hard to track.. After: Activity logs keep a record of important actions.
  • Before: Teams followed separate workflows.. After: Custom statuses and boards support different ways of working.

Delivery ownership

THE TISA's Role

Product Strategy

Discovery

UX/UI Design

AI Architecture

Frontend Engineering

Mobile Development

Integrations

QA

Key Features

Clove includes the following key features:

Key feature groups sized by number of capabilitiesAI sprint planning and milestone breakdown from a project briefAutomatic flowchart design of phases and dependenciesAutomated deadlines based on estimates, dependencies and capacityAI Planning and SchedulingAI task assignment by skills, workload and availabilitySkill-based team building with skill-gap alertsSmart reminders that escalate only real risksAI Team and Task AutomationMultiple workspaces and projectsProject templates and custom statusesMember invitations and project accessWorkspace and Project ManagementTasks, epics, stories, bugs and subtasksSprint planning, backlogs and active sprint trackingPriorities, due dates and task dependenciesTask and Sprint ManagementDrag-and-drop Kanban boardsProject timelines and calendarsTask sorting and filtersKanban and PlanningComments, mentions and team discussionsFile sharing and announcementsReal-time project updatesTeam CollaborationRole-based accessWorkspace and project permissionsAdmin controlsRoles and AccessReal-time and email notificationsAssignment and deadline alertsGlobal search and saved filtersNotifications and SearchProject and sprint progressTeam workloadBurndown and velocity reportsDashboard and ReportsTask, file and user activity historyAudit logs, including AI-suggested and approved changesWorkflow rules and automatic status updatesActivity and AutomationMobile-friendly screensClear dashboards and navigationUser Experience
03AI Planning and Scheduling
01

AI Planning and Scheduling

  • AI sprint planning and milestone breakdown from a project brief
  • Automatic flowchart design of phases and dependencies
  • Automated deadlines based on estimates, dependencies and capacity

Development Process

We started by understanding how different teams manage projects from setup to completion. The team studied user roles, task types, sprint workflows, communication needs and reporting requirements. We then planned the user flow, including workspace access, project creation, task assignment, sprint planning, team updates, report review and role-based permissions.

Technical Challenges

01

Managing connected project data

MySQL relationships were planned for workspaces, projects, users, tasks and sprints.

02

Supporting different task types

A flexible structure was used for epics, stories, bugs, tasks and subtasks.

03

Building smooth Kanban movement

Drag-and-drop actions were linked to task status updates and saved records.

04

Showing updates in real time

Socket.IO shared task and project changes with authorized users.

05

Managing roles and permissions

Role-based rules controlled access to workspaces, projects and admin actions.

06

Turning loose project briefs into reliable plans

OpenAI Structured Outputs returned plans in a fixed schema, and the backend validated dependencies, members and capacity before anything was saved.

07

Keeping AI deadlines realistic

OpenAI suggested task order and complexity, while Clove's scheduling logic calculated dates from dependencies, calendars and workload.

08

Protecting tenant data in AI requests

Permission checks and workspace scoping ran before any data was sent to OpenAI, and API keys stayed on the server.

09

Handling large task lists

Pagination, filters and optimized queries helped reduce loading time.

10

Supporting different workflows

Custom statuses and Kanban columns allowed teams to follow their own process.

11

Maintaining mobile usability

Boards, task lists and forms were adapted for smaller screens.

Technology Stack

  • React.js
  • TypeScript
  • Tailwind CSS
  • Redux
  • Node.js
  • Express.js
  • MySQL
  • OpenAI API
  • REST APIs
  • Kanban Boards
  • Socket.IO
  • Real-Time Collaboration

Why These Technologies?

  • React.js. To build interactive dashboards, task views and reusable interface components.
  • TypeScript. To keep the code organized and reduce development errors.
  • Tailwind CSS. To create consistent and responsive screens.
  • Redux. To manage shared projects, tasks and user data across different pages.
  • Node.js. To handle backend operations, project workflows and the AI planning service.
  • Express.js. To organize backend routes and build REST APIs.
  • MySQL. To store project, team, skill and task records in a structured format.
  • OpenAI API. To interpret project briefs and draft structured plans, skills and reminders, using Structured Outputs for reliable, schema-based responses.
  • REST APIs. To connect the frontend, backend services and AI planning service.
  • Kanban Boards. To support visual task management through drag-and-drop workflows.
  • Socket.IO. To show task updates, comments and notifications in real time.
  • Real-Time Collaboration. To keep team members informed about project changes without refreshing the page.

Design Decisions

The design made project details easy to find and manage. Important decisions included:

  • Role-based dashboards
  • Clear workspace navigation
  • Project summary cards
  • Drag-and-drop Kanban boards
  • Simple task forms and detail panels
  • AI plan review screen with edit, remove and approve controls
  • Priority and status labels
  • Search and filter controls
  • Sprint progress and workload views
  • Activity timelines
  • Responsive project screens
  • Clear notifications and error messages

SEO Work

SEO was applied only to Clove's public pages. Private workspaces, projects and team records were kept out of search results. The work included:

  • SEO-friendly URLs, page titles and meta descriptions
  • Clear heading structure
  • Relevant project management keywords
  • Agile and Scrum landing pages
  • Internal linking
  • Image alt text
  • FAQ structured data and Open Graph tags
  • Canonical tags, XML sitemap and robots.txt
  • Noindex rules for private areas
  • Mobile and page-speed improvements

Performance Optimization

Performance work included:

  • React component and Redux state optimization
  • Lazy loading and route-based code splitting
  • Reduced unnecessary API calls
  • MySQL query optimization and database indexing
  • Pagination for large task and activity lists
  • Debounced search
  • Kanban board performance improvements
  • Real-time event optimization
  • Timeouts, retry limits and idempotent saves for AI requests
  • Caching for frequently used data
  • Optimized asset loading

Security

Clove handles private project, team and business data, so strong security was required. Security measures included:

  • Secure user login
  • JWT authentication
  • Password hashing
  • Protected routes and REST APIs
  • Role-based access
  • Workspace and project permissions
  • Request validation and input sanitization
  • API rate limiting
  • Secure session handling
  • Controlled file access
  • Server-side OpenAI calls, with API keys never exposed to the browser
  • Permission checks and workspace scoping before any data is sent to OpenAI
  • Manager approval before AI-drafted changes are saved
  • Activity and audit logs

Architecture Diagram

Results

For Project Managers

  1. 01Project managers can plan work, assign tasks and track deadlines in one place.
  2. 02AI drafts project plans, deadlines and task assignments, so managers review and approve instead of building plans from scratch.

For Agencies and Clients

  1. 01Agencies can keep client projects organized and share clear updates on work and delivery.
  2. 02AI-generated project flowcharts give clients a clear view of phases, hand-offs and progress.

Visual Identity

Clove visual identity

CClove

Aa

Clove

Color

  1. #050408
    01Primary Black5 4 8
  2. #0F091B
    02Deep Black15 9 27
  3. #08111A
    03Dark Navy8 17 26
  4. #211B37
    04Dark Purple33 27 55
  5. #6D4FD3
    05Primary Purple109 79 211
  6. #866BE1
    06Soft Purple134 107 225
  7. #5D4F8E
    07Muted Lavender93 79 142
  8. #C8CBD6
    08Light Gray200 203 214
  9. #FFFFFF
    09Pure White255 255 255

Type

  1. 01 · Primary4 weights

    Inter / similar modern sans-serif

    ABCDEFGHIJKLMNOPQRSTUVWXYZ
    abcdefghijklmnopqrstuvwxyz
    0123456789

    • Bold
    • Semibold
    • Medium
    • Regular

Client Testimonial

Before Clove, managing daily work and team updates through different tools was difficult. We needed one platform that could handle the complete workflow and support different team roles. Team TISA worked on Clove according to our requirements. They stayed in touch throughout the project and handled every change properly. Clove has made it easier for our team to manage daily work and stay updated. We appreciate the work done by Team TISA.
L
Lane SnufferFounder, Clove

Future Scalability

Clove can be expanded with:

  1. 01

    AI project summaries and client status reports

  2. 02

    Risk and delay prediction

  3. 03

    Natural-language search across projects

  4. 04

    Time tracking and timesheets

  5. 05

    Billing, invoicing and project budgeting

  6. 06

    Client portals

  7. 07

    CRM integration

  8. 08

    GitHub and GitLab integration

  9. 09

    Slack, Microsoft Teams and Google Calendar integration

  10. 10

    Custom workflow automation

  11. 11

    Resource and portfolio management

  12. 12

    Approval workflows and custom reports

Lessons Learned

While building Clove, we learned a few important lessons:

  1. 01

    Workflows and permissions need clear planning from the start.

  2. 02

    Kanban boards must stay smooth as task lists grow.

  3. 03

    Search and filters become more important in larger projects.

  4. 04

    Real-time updates should only reach relevant users.

  5. 05

    AI works best when it drafts and the application decides: let the model interpret briefs, and let code calculate dates, capacity and access.

  6. 06

    AI suggestions need a clear review step so managers stay in control.

  7. 07

    Mobile screens need a simpler task layout.

  8. 08

    Future integrations are easier to add when planned early.

Conclusion

Clove gives teams a simpler way to manage projects, tasks and communication, and its OpenAI-powered planning layer takes the busywork out of planning, scheduling and staffing. It keeps responsibilities, deadlines and progress clear for both team members and project managers. For the client, the platform provides a strong, AI-ready base for serving different teams and expanding the product as business needs grow.

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