Using Jira but your team spends more time configuring it than using it, and non-technical stakeholders refuse to touch it?
Building an operations platform that needs task and project tracking as a core feature, but embedding Jira adds licensing cost and complexity your users do not need?
Jira dominates software project management because it can handle almost any workflow -- if you are willing to configure it. For engineering teams with dedicated Jira administrators, that tradeoff works. For construction project managers, marketing campaign leads, client services teams at agencies, and field crews on mobile devices, Jira's configuration model creates a tool that nobody wants to use.
We build custom project management and task tracking platforms for founders targeting a specific industry, businesses embedding project tracking into a larger operations product, and organizations where Jira's complexity has become a barrier to adoption rather than a tool for productivity. This page covers what the platform needs, what it costs, and how we approach these builds.
Boards and workflows built for your specific process, not Jira's generic schema
Task tracking that non-technical users actually adopt, without a Jira administrator to manage it
Project management embedded in your operations platform, with your data model and your UX
Field-ready mobile access for crews and managers who work away from a desk
Building a project management platform like Jira costs $30,000--$180,000. A core task management system with boards, tasks, assignments, statuses, and comments takes 10-14 weeks and costs $30,000-$55,000. A full project platform with epics, sprints, time tracking, reporting, and integrations costs $55,000-$110,000 over 16-24 weeks. An enterprise platform with multi-tenant architecture, SSO, advanced automation, and custom workflows costs $100,000-$180,000 over 24-36 weeks. RaftLabs delivers on fixed-price contracts in 12-14 week cycles.
Jira reached $4 billion in annual revenue at Atlassian by building a platform flexible enough to serve every team in every company. Software engineering teams use it for sprint planning and bug tracking. HR teams use it for onboarding workflows. Marketing teams use it for campaign management. That flexibility is the product. But flexibility requires configuration, and configuration requires expertise, and expertise costs time.
Construction project managers tracking subcontractor schedules, material deliveries, and inspection sign-offs do not need a Jira administrator. They need a tool that maps directly to their process: the stages of a build, the crew responsible for each stage, and the blockers that push the schedule. A custom tool built for construction project management speaks that language without a configuration layer in between.
The embedding argument is equally strong for software companies. A field service management platform, a marketing operations tool, or a client portal already has a data model for its core domain. Adding Jira means paying Atlassian per seat, asking users to switch between two separate tools, and accepting that Jira's data model will never perfectly align with your product's domain model. Building project tracking as a native feature of your product keeps users in one place, gives you complete control over the UX, and eliminates the per-seat licensing cost at scale.
The adoption argument applies to any non-technical user base. Jira's power comes from its flexibility. Its weakness is the same. Non-technical users -- field crews, client managers, marketing coordinators, account managers -- see a complex configuration and stop using it. A tool designed specifically for their workflow has no configuration surface to confuse them. Adoption is higher because the tool makes sense on day one.
Jira's core model is the issue: a discrete unit of work with a status, an assignee, a priority, and a set of custom fields. Issues belong to projects. Projects have workflows that define the valid status transitions for issues within them. Workflows are the product. Two teams in the same company can have completely different status models for their issues because each project has its own workflow configuration.
The second core concept is the hierarchy. Epics contain stories and bugs. Stories contain subtasks. This hierarchy lets you zoom out to the roadmap level and zoom in to the task level in the same tool. The hierarchy also drives reporting: velocity and capacity planning happen at the sprint level, roadmap visibility happens at the epic level, and day-to-day work happens at the story and task level.
The third concept is the board view. Jira popularized the Kanban board as a software interface for tracking work in progress. The Scrum board extends this with sprints: a time-boxed set of issues pulled from a backlog and committed to by the team. Agile teams organize their work around these board views, and the board view is the first thing most users see when they open Jira.
For a vertical platform, you do not need every Jira feature. You need the workflow engine, the hierarchy that matches your domain, and the board views that match your process. A construction project management tool needs a stage-based workflow, a project hierarchy (project, phase, task, inspection), and a timeline view -- not a Scrum sprint board. An agency client management tool needs a client and project hierarchy, a status workflow, and a workload view -- not story points and velocity tracking.
The workflow engine is the defining feature of a project management platform. A workflow defines the valid statuses for a task and the transitions between them. In Jira, workflows are defined per project. A software team's workflow might include To Do, In Progress, In Review, and Done. A construction team's workflow might include Planned, Materials Ordered, In Progress, Inspection Pending, and Signed Off.
Automation triggers fire when a transition occurs: when a task moves to Inspection Pending, notify the site inspector. When all subtasks are marked Done, move the parent task to Done automatically. When a task sits in In Progress for more than five days, send a reminder to the assignee. These automation rules are what make a workflow engine worth building rather than a simple status field.
For non-technical users, the workflow configuration interface needs to be visual and simple. A drag-and-drop status board with transition arrows, not a YAML configuration file. The workflow builder is often the feature that determines whether non-technical stakeholders adopt the tool or revert to their spreadsheet.
Board views are the primary way users interact with tasks. Different roles and different workflows need different views of the same underlying data. A project manager needs a Gantt chart to see dependencies and timeline. A team member needs a Kanban board to see what is in progress. An account manager needs a calendar view to see client deliverable dates. A team lead needs a list view sorted by priority to do triage.
The underlying data model is the same across all views. A task has a status, an assignee, a due date, a parent, and dependencies. The view is a different rendering of that data. Building multiple views on one shared data model is the right architecture -- it avoids the sync problems that occur when different tools each maintain their own task list.
The Gantt view is the most technically complex of these. Dependencies between tasks create a directed graph. When the start date of one task changes, the dates of all dependent tasks need to cascade forward or backward. The dependency engine needs to detect circular dependencies and prevent them. Plan extra engineering time if the Gantt view is a day-one requirement.
Task relationships define the hierarchy and the dependency graph. An epic is a large unit of work that contains multiple tasks. A task can have subtasks. A task can block another task, meaning the blocked task cannot start until the blocker is resolved. A task can depend on another task, meaning it is scheduled to start after the dependency completes.
The hierarchy determines your reporting. You can roll up completion percentages from tasks to epics. You can see how many subtasks remain on a parent task without opening each one. You can identify which epics are on track and which are at risk based on the status distribution of their child tasks.
Dependencies and blockers are critical for project scheduling. In a construction context, the foundation must be poured before framing can start. In a software context, the API must be merged before the front end can be tested. Making these relationships explicit in the tool, rather than tracked in a separate spreadsheet, is what gives a project management platform its planning value.
Time tracking lets team members log the hours spent on each task. For agencies billing clients by the hour, time tracking is a core feature tied to invoicing. For internal teams, time tracking is a capacity planning and estimation calibration tool: actual hours versus estimated hours, per task and per sprint, helps improve future estimates.
Sprint management covers the Scrum ceremony of pulling tasks from a backlog into a time-boxed sprint. A sprint has a start date, an end date, and a set of committed tasks. During the sprint, the burndown chart shows the team's progress toward completing the committed scope. At sprint close, incomplete tasks are moved back to the backlog or carried forward to the next sprint with a note explaining why they did not complete.
For teams that do not practice Scrum, sprint management is optional. The backlog and the Kanban board are sufficient for a continuous flow workflow. The platform should support both models so different teams within the same organization can choose the process that fits their work.
Permissions determine who can see, create, edit, and delete tasks, projects, and settings. A typical permission model includes: project administrators (full access including workflow configuration), project members (create and edit tasks), contributors (create tasks but not edit others' tasks), viewers (read-only), and guests (access to specific projects only).
For multi-tenant SaaS products -- where each customer organization has its own isolated workspace -- the permission model must enforce data isolation at the data layer, not just the application layer. An administrator in one organization must not be able to see projects from another organization even through the API.
Team management covers user provisioning, role assignment, and deprovisioning. For enterprise deployments, SSO integration with Okta, Azure AD, or Google Workspace and automatic user provisioning via SCIM are baseline requirements. When a user leaves an organization, their access needs to be revoked automatically rather than relying on an administrator to remember to do it manually.
Reporting surfaces the health of projects and the performance of teams. Common metrics include: velocity (story points or tasks completed per sprint), burndown (remaining work versus time in a sprint), cycle time (average time from task creation to task completion), and lead time (average time from task creation to delivery). These metrics drive continuous improvement conversations.
Dashboards aggregate these metrics into a view that a project manager or team lead can check at the start of each day. A status distribution chart shows how many tasks are in each status across the portfolio. An overdue tasks list shows what has missed its due date and who owns it. A team workload view shows how many tasks are assigned to each team member to catch overloaded members and underloaded capacity.
Custom reporting -- the ability to build a report with user-defined filters, groupings, and metrics -- adds significant value for organizations with specific reporting requirements. A construction company needs to report completion percentages by subcontractor. A marketing agency needs to report hours spent by client and campaign. Plan this as a later-cycle feature: ship the standard reports first, then add custom report building once you know what metrics your users actually need.
Integrations connect the project management platform to the other tools in the team's workflow. For software engineering teams, the critical integrations are GitHub (or GitLab) and CI/CD pipelines: when a pull request is opened, linked to a task via a branch name convention, the task status updates automatically. When a deployment completes, the associated task moves to Done.
Slack integration sends notifications to relevant channels when task statuses change, when comments are added, or when a sprint starts or ends. This keeps the team informed without requiring them to check the project management tool constantly. It also means the project management tool can receive updates via Slack slash commands: /create-task, /update-status, /assign.
For teams building Notion-like documentation alongside their tasks, a documentation integration or native rich-text notes on tasks reduces the need to context-switch between tools. A construction platform might integrate with a drawing management tool. A marketing platform might integrate with a creative asset management system. Build the two or three integrations that are most critical for your target user, not a generic integration marketplace.
For field teams -- construction crews, field service technicians, on-site inspectors, delivery managers -- the mobile experience is the primary interface, not a secondary one. A Jira alternative for field operations needs to be designed for mobile first: large touch targets, minimal required inputs, fast load times on mobile networks, and an offline mode that works when the site has no signal.
Offline capability requires a local database on the device that stores the user's tasks and syncs with the server when connectivity is restored. Updates made offline -- task status changes, comments, photo attachments -- are queued and applied in order when the connection returns. Conflict resolution handles the case where the same task was updated both offline and on the server.
Photo and file attachments are essential for field operations. An inspector needs to attach a photo of a defect to a task. A field technician needs to upload a sign-off form. The mobile app needs to handle camera access, photo compression, and upload retry logic for large files on slow connections. This is often more engineering work than the basic task management features and should be scoped separately.
Per-seat subscription is the standard model for project management software. Pricing of $8--$25 per user per month is the market range for vertical SaaS project management tools. The lower end competes with the free tiers of Asana and Trello. The higher end is justified by industry-specific features, compliance architecture, or embedded integrations that Jira cannot replicate without significant configuration.
A tiered model typically separates core task management (included in a base plan) from advanced features -- custom workflows, the Gantt view, time tracking, reporting, and SSO -- in a business or enterprise tier. This mirrors how most project management SaaS tools price and lets you capture different willingness to pay across organization sizes.
For project tracking embedded in a larger operations product, the project management feature is a retention driver rather than a standalone revenue line. Users who manage their active work inside your product churn less. The cost of building project tracking is justified by its impact on net revenue retention, not by a separate task management fee. In this model, project tracking is included in the base product price or a specific product tier.
We build the workflow engine with configurable statuses, transitions, and automation triggers. Each project type has its own workflow definition. Status transitions are configurable by role: a task can be moved to Approved only by a project administrator, not by a contributor. Automation rules fire on status transitions, due date changes, and assignment changes.
The workflow configuration interface is built for non-technical administrators: a visual board with drag-and-drop statuses and point-and-click transition rules. No YAML, no script configuration. Workflow changes take effect immediately for all new tasks in the project, with options to apply retroactively to in-progress tasks.
We build the Kanban board, list view, calendar view, and Gantt chart on a shared data model. All four views show the same underlying tasks -- switching views does not require data migration or re-entry. The Kanban board is the default view for most users. The Gantt chart is built for project managers who need to see dependencies and timeline.
The Gantt chart includes dependency linking: click between two tasks to create a dependency, drag the link to adjust the type (finish-to-start, start-to-start). When a task date changes, dependent task dates cascade automatically. Circular dependency detection prevents invalid configurations.
We build the task hierarchy to match your domain model: epics and tasks for software teams, projects and phases and tasks for construction teams, campaigns and deliverables and tasks for marketing teams. The hierarchy terminology is configurable to match the language your users already use.
The dependency graph is built with a directed acyclic graph (DAG) model. Dependency types include finish-to-start, start-to-start, finish-to-finish, and start-to-finish. Blocker relationships are a simplified dependency type that surface on the blocking task's detail view. The dependency view in the Gantt chart shows the full dependency graph for a project.
We build time tracking with manual time entry and optional timer-based entry. Logged hours appear on the task detail view, on the team member's time log, and in the project's time report. For agencies, we build the client-billable flag on each time log entry and the invoice-ready time export.
Sprint capacity planning shows the team's available hours in the sprint versus the estimated hours of committed tasks. Overloaded sprints surface before the sprint starts, not after the sprint misses its target. Velocity tracking shows average story points or tasks completed per sprint over the last eight sprints, providing a data-based input to sprint planning.
We build the permission system with project-level roles, organization-level roles, and guest access. Role definitions are configurable to match your organization's access model. For enterprise deployments, SSO integration with Okta, Azure AD, or Google Workspace handles user authentication. SCIM provisioning automates user lifecycle management.
For multi-tenant SaaS products, we build strict data isolation at the data layer: row-level security or schema-per-tenant, depending on the scale requirements. An API call from one tenant's session cannot return data from another tenant even if the application layer makes an error. This isolation is designed in from the start, not retrofitted.
We build the standard reporting suite: velocity charts, burndown charts, cycle time histograms, and the team workload view. Each report is filterable by project, date range, assignee, and task type. For organizations with specific reporting requirements, we build the custom report builder in a later cycle.
The mobile app (iOS and Android) is built mobile-first for field users. Offline task management with sync-on-reconnect, camera-based photo attachments, and push notification delivery for task assignments and status changes. The mobile app is designed for large touch targets and minimal-input workflows -- field users should be able to update a task status in two taps.
Frequently asked questions
A core task management platform with boards, tasks, assignments, statuses, and comments typically costs $30,000--$55,000 and takes 10-14 weeks. A full project platform with epics, sprints, time tracking, reporting, and key integrations costs $55,000--$110,000 over 16-24 weeks. An enterprise platform with multi-tenant architecture, SSO, advanced workflow automation, and custom permission models costs $100,000--$180,000 over 24-36 weeks.
The main cost drivers are the workflow engine complexity, the number of board view types you need, and whether multi-tenant data isolation is required from the start. RaftLabs delivers on fixed-price contracts -- we scope every project before pricing so the cost is agreed before development starts.
Use Jira when your team is technical, your workflows map well to Jira's schema, and the licensing cost at your team size is acceptable. Build a custom platform when: your users are non-technical stakeholders who find Jira's configuration model too complex to adopt; you are building an operations platform where project tracking is one feature among many and embedding Jira adds licensing cost and complexity your users do not need; your industry has specific workflow requirements that require significant Jira customization to approximate; or your data sovereignty requirements prevent using a US-hosted SaaS tool.
A custom tool built for a specific workflow beats a general-purpose tool in that workflow almost every time. The question is whether the specificity justifies the build cost at your current scale.
A core task management platform takes 10-14 weeks. A full project platform with sprints, time tracking, reporting, and integrations takes 16-24 weeks. An enterprise platform with multi-tenant architecture and advanced automation takes 24-36 weeks.
We deliver in 12-14 week cycles, which means the first cycle ships a usable core product. More complex features -- the Gantt view, the reporting engine, the Slack and GitHub integrations -- are added in subsequent cycles based on what your users actually need after they start using the product.
Jira is designed for everyone. A custom platform is designed for one specific workflow. Jira's flexibility requires configuration: every team that adopts Jira needs someone to set up the project, define the workflow, configure the fields, and train users on the Jira model. A custom platform has no configuration surface to confuse non-technical users because the configuration decisions were made during the build, not delegated to each team.
The other difference is the data model. Jira's data model is generic: projects, issues, subtasks, epics. A custom platform's data model speaks the language of its domain: campaigns and deliverables, projects and phases, work orders and inspections. Users recognize the terminology because it matches how they already talk about their work.
Yes. Agile and Scrum are workflow conventions, not software requirements. A custom platform can implement sprint planning, backlog grooming, velocity charts, burndown charts, story point estimation, and sprint retrospective tooling as native features rather than Jira configurations.
The advantage of a custom implementation is that you build exactly the Agile workflow your team uses, not a generic Scrum board that requires configuration and discipline to maintain. For teams that practice a hybrid or modified Agile methodology, a custom platform can codify that specific workflow without the constraints of a tool designed for textbook Scrum.
Field Service Work Order Management Platform -- Custom task and work order management platform built for a field operations company. Mobile-first interface with offline sync, photo attachments, status workflows tailored to field service stages, and a web-based dashboard for operations managers. The workflow engine, mobile offline architecture, and role-based permission model described on this page reflect decisions made on this build.
Tell us the industry, the team types who will use it, and the workflows Jira cannot serve without significant configuration. We will scope the build, give you a fixed price, and deliver in 12-14 weeks.