DEEPLEEX is AI-powered project delivery control software

Deepleex helps teams manage requirements, tasks, workload, time, cost and delivery risks in one workspace. AI-assisted planning helps forecast deadlines, balance capacity and spot problems before projects slip.

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Control project delivery before deadlines, workload, and cost slip

Deepleex gives managers one workspace to plan work, balance team capacity, track execution, and see delivery risks early. AI-assisted planning helps turn changing project data into realistic deadlines and workload forecasts.

Deadlines and costs become clear too late

Project plans quickly become outdated when scope, priorities, estimates, or team capacity change. Managers often see the real deadline and cost risk only after the project is already slipping.

Deepleex connects requirements, tasks, estimates, workload, time, and cost in one plan. AI-assisted planning helps forecast delivery dates and show where the plan is moving away from the baseline.

Team workload is hard to balance manually

Some people become overloaded while others stay underused. Manual task assignment takes time and usually misses real capacity, schedules, roles, and changing priorities.

Deepleex helps distribute work around actual team capacity. AI-assisted planning highlights overload, underload, and scheduling conflicts before they turn into missed deadlines.

Managers lack clear execution data

Without objective data, it is hard to understand who is overloaded, where time is going, which tasks are slowing delivery, and how project cost is changing.

Deepleex tracks workload, progress, time, productivity, and cost dynamics so managers can evaluate execution based on real project data, not assumptions.

Tasks, plans, and discussions are scattered

When requirements, tasks, plans, files, discussions, and progress live in different tools, teams lose context and managers lose control.

Deepleex brings requirements, task decomposition, planning, execution tracking, workload control, cost visibility, and project discussions into one workspace.

Deepleex turns project changes into delivery decisions

When work changes, Deepleex checks whether the delivery plan still makes sense and shows where managers need to act.

Project reality

The plan starts drifting

New work appears, capacity shifts, and the original plan stops reflecting what is actually happening.

Scope changed Capacity shifted Risk appeared late
Deepleex planning layer Deepleex

Checks every change against the plan

AI-assisted planning connects project changes with delivery logic, workload, and execution status.

Detect the change What moved in the project
Recheck the plan What the change affects
Show the decision Where action is needed
Manager result

Clear decisions instead of scattered updates

Managers see whether the plan still works, what changed, and what should be adjusted before delivery slips.

What changed What it affects Where to act now
Deepleex turns moving project reality into clear delivery decisions.

How Deepleex controls project delivery with AI-assisted planning

Deepleex connects team capacity, requirements, tasks, estimates, AI-assisted planning, and execution tracking into one workflow.

1. Add your team and real capacity

  • Create a team workspace
  • Add or invite team members
  • Assign roles, skills, and profiles
  • Set working hours and schedules
  • Add productivity or cost rates where needed

2. Turn requirements into project work

  • Create project sections and phases
  • Add requirements and delivery scope
  • Break requirements into tasks and work items
  • Set estimates, priorities, and dependencies
  • Keep project structure connected to execution

3. Build an AI-assisted delivery plan

  • Generate a project plan with AI-assisted planning
  • Forecast deadlines based on workload and estimates
  • Check capacity, overload, and scheduling conflicts
  • Review dates, assignments, and delivery risks
  • Confirm the plan and launch execution

4. Track execution and control delivery risk

  • Move tasks through execution statuses
  • Track progress, workload, time, and schedule shifts
  • Compare plan vs actual delivery
  • Act on “Needs attention” signals
  • Keep project discussions connected to work
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Bring task control to your Telegram groups

Add TagskBot to a group and manage execution where the conversation already happens.
About TagskBot Add TagskBot to Telegram

Connect Deepleex with your existing tools

Deepleex helps you collect tasks from your existing systems,
transform them into a structured execution workflow,
and use AI-powered planning for deadlines, workloads, and resource optimization.

J

Jira

Import tasks from Jira, keep links with the original source,
and automatically build realistic execution plans inside Deepleex.

A

Asana

Sync projects and tasks from Asana to monitor workloads,
execution order, deadlines, and team efficiency.

C

ClickUp

Connect ClickUp as a task source and use Deepleex
for AI planning, execution control, and automatic replanning.

Integration with any of your services in 5 days

We can integrate Deepleex with your internal or external systems
in as little as 5 days — subject to technical feasibility.

Secure OAuth-based connection is used where supported by the connected service.

Who should use Deepleex?

Deepleex is built for teams that need to control delivery, workload, deadlines, time, cost, and project risk across real work, not just track tasks.

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Software and IT teams

Control requirements, tasks, developers, workload, deadlines, and delivery risks in one workspace. Deepleex helps software teams plan around real capacity and use AI-assisted planning to forecast delivery dates.
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Construction Projects

Plan project stages, tasks, resources, schedules, and execution risks across teams. Deepleex helps keep deadlines, workload, and cost visible as project conditions change.
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Marketing and service agencies

Control client work, team workload, deadlines, time tracking, and delivery cost. Deepleex helps agencies see overload and margin risk before projects become unprofitable.
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FinTech teams

Manage structured delivery, approvals, tasks, deadlines, and project cost across complex teams. Deepleex helps keep execution transparent when priorities and requirements change.
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Manufacturing teams

Plan tasks, resources, shop-floor capacity, deadlines, and execution progress in one place. Deepleex helps managers balance workload and detect delivery risks earlier.
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EdTech teams

Manage courses, content production, internal projects, teams, deadlines, and workload. Deepleex helps education teams coordinate delivery and keep project plans under control.

Why teams choose Deepleex over regular project trackers

Most project tools show what is already happening. Deepleex helps teams understand what will happen next: where deadlines may slip, where workload is unbalanced, and where delivery cost is moving away from the plan.

Regular project trackers

  • Tasks and statuses are tracked, but delivery risk appears too late
  • Deadlines become outdated when scope, priorities, or capacity change
  • Workload problems are noticed only after people are already overloaded
  • Managers still need spreadsheets to understand plan vs actual
  • Project cost and time are disconnected from daily execution

Deepleex

  • AI-assisted planning helps forecast deadlines and workload risk
  • Plans are recalculated when project data changes
  • Managers see overload, underload, schedule shifts, and “Needs attention” signals
  • Tasks, requirements, workload, time, cost, and discussions stay connected
  • Teams get one workspace for planning, execution, and delivery control

Product roadmap

Deepleex is evolving into a full AI-powered project delivery control workspace: from planning and workload balancing to execution tracking, analytics, communication, and cost visibility.
Planned next

September 2026

Core planning, execution, workload, and project structure features

  • AI-assisted project planning
  • Kanban board for task execution
  • Task labor cost control
  • Workload and schedule visibility
  • Project and requirements management
  • Telegram-based project communication
  • Improved project structure
  • Better delivery visibility for managers
Planned later

December 2026

Analytics, Gantt planning, task detailing, and deeper plan-vs-actual control

  • Performance and productivity analytics
  • Gantt chart generation
  • Task detailing into work items
  • Improved AI optimization for planning quality
  • Basic plan support for analysis
  • More advanced plan-vs-actual visibility
  • Stronger delivery risk detection
The roadmap is focused on one goal: helping teams control project delivery earlier, before deadlines, workload, and cost move out of control.

FAQ

About the Product and Its Purpose
  • What is Deepleex?
    Deepleex is an intelligent system for planning and executing tasks/projects: you set the work, build a plan, distribute workload across performers, track progress, and receive signals where the plan is “breaking” or requires attention.

  • Which teams is Deepleex suitable for?
    Teams that handle a large number of tasks, dependencies, roles, and constraints on resources/deadlines: product & project teams, software development, implementation projects, operational units, service/support teams.

  • How does Deepleex differ from a regular task tracker?
    A regular tracker records tasks and statuses. Deepleex focuses on the work plan, deadlines, and resources: it takes into account work breakdown structure, roles/skills, workload, productivity, calendars, and helps you actually meet deadlines.
  • Is there a free trial period?
     Yes. A trial subscription is granted upon first login: 2 weeks, Middle-level access rights, limited to 50 users. After the trial ends, the user can independently choose a new subscription or continue on the free plan with functional limitations. This allows you to keep the project running and gradually expand system usage as team needs grow.

  • What can you realistically test in 2 weeks?
     Build project structure, add the team and roles, import a pool of tasks/requirements, create a phased work plan, enable AI planning mode and observe how deadlines and workload change when parameters are adjusted.

  • Is it hard to get started without a full implementation?
     You can start with a pilot: one project, one team, minimal set of entities (phases, requirements, tasks, work items). This quickly demonstrates the value.
  • How is the work hierarchy organized in Deepleex?
     You can structure work as: Project → Section → Requirement → Task → Work item. This helps preserve context and manage dependencies at different levels.

  • What are “phases” and why are they needed?
     Within a project you can create phases and assign tasks to them, forming a clear work plan.

  • Is there a Gantt chart?
     Deepleex focuses on visualized plans with deadlines and dependencies inside the work plans module; most users care primarily about the calendar view and logical dependencies. 
  • What does “AI planning” mean?
     It is a mode in which the system forecasts deadlines and optimizes resource allocation: it helps distribute work among performers considering constraints and recalculates the plan when changes occur.

  • What is required for AI planning to work correctly?
     Minimum: task/work breakdown structure, effort estimates, performers/roles, working calendars. The more accurate the data on skills, productivity, and actual time spent — the better the forecast.

  • Does the AI make decisions on its own or suggest options?
     Typical scenario — the system builds a plan and highlights conflicts in deadlines/resources, while the human controls priorities and other planning parameters. Importantly, you do not lose control — you get a powerful assistant for calculations.

  • What happens when priorities or tasks change?
     The plan is recalculated, and the system shows “bottlenecks” and attention signals: where there is under-utilization, deadline slippage, scheduling conflicts.

  • How accurate are the deadline forecasts?
     Accuracy depends on input data quality and execution discipline. The main value is that you see the forecast well before the deadline becomes a problem, allowing proactive management of resources and priorities.
  • Can you account for skills and specializations of performers?
     Yes — the planning logic relies on roles/profiles, skills, and resource constraints. This is the foundation for correct allocation and planning.

  • How are access rights controlled?
     The system has a permission model (who sees what and who can change what) — critical for large organizations with multiple teams/projects.
  • How does Deepleex help control execution?
     Through execution statuses, deadline control, progress against the plan, and “requires attention” signals when the plan starts deviating (under-load, scheduling conflicts, slippage).

  • Is there a Kanban board for execution?
     Yes — task execution is supported via Kanban-style board and statuses (To Do / In Progress / Blocked / Done) so the team can work comfortably on a daily basis.

  • Are there in-task communications?
     Yes — built-in chats for coordination and escalations, so discussions are attached directly to the activity/task instead of living in separate messengers.
  • What analytics are available to managers?
     Both basic: productivity trends, engagement, resource utilization & cost, plan deadline/budget forecast, risk points, as well as advanced exportable reports.

  • Is there time tracking?
     Yes — you can record actual time spent (timesheets) and compare plan vs. fact. This improves future forecasting and transparency.
  • Suitable for large organizations?
     Yes — especially if you have many teams/projects and need strict structure, roles, permissions, and plan control. This is Deepleex’s native environment.
  • What are “scenarios” in Deepleex?
     Scenarios are business-process templates that allow standardized creation of projects, requirements or tasks, and passing typed parameters between them.

  • Can you configure custom task statuses?
     Yes, Deepleex supports custom task and requirement states, but in a somewhat different way than many other systems. When a task is broken down into work items, the custom state is automatically calculated based on the name of the last started work item inside the task. This approach lets you reflect your real process without complex additional configuration.

Диплекс помогает превращать изменения в проекте в понятные решения

Когда задачи, сроки или загрузка меняются, Диплекс проверяет, остается ли план реалистичным, и показывает, где нужно вмешаться.

Что происходит в проекте

План постепенно расходится с реальностью

Появляются новые задачи, меняется загрузка команды, сроки сдвигаются, а старый план больше не показывает реальную картину.

Изменился объем работ
Поменялась загрузка команды
Риски заметили слишком поздно
Как работает Диплекс
Диплекс

Проверяет каждое изменение относительно плана

AI-планирование связывает изменения в задачах, сроках и загрузке с текущим планом проекта.

Находит изменение
Что именно изменилось в проекте
Проверяет влияние
На какие сроки, задачи и людей это влияет
Показывает, что делать
Где менеджеру нужно принять решение
Что получает менеджер

Понятная картина вместо разрозненных обновлений

Менеджер видит, работает ли план дальше, что изменилось и что нужно скорректировать до того, как проект начнет срываться.

Что изменилось
На что это влияет
Где нужно действовать сейчас
Диплекс помогает вовремя видеть изменения в проекте и принимать понятные решения по срокам, загрузке и выполнению работ.
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