scalenow AI
One eco system for managing your projects
The all-in-one platform for projects scalenow AI
- Unites teams with connected workflows,
- Organises dynamic documents, real-time dashboards, and more
- Empowers team to work smarter, move faster and quicker
Key Features
- All-in-one knowledge and work management
- Customisable views for cross-functional projects
- Boost efficiency with automation and insightful reporting
- Monitor project expenses in real-time to stay within budget.
- Categorize costs by type (materials, labor, overhead) for insights.
- Visualize timelines with Gantt charts and dynamic calendars.
- Use automated reminders, notifications to keep the team on track
- Compare planned schedules, cost with actual timelines, cost
Stay focused on what matters most
Easily plan and prioritise your work with full visibility into project details and their alignment with company goals.
With scalenow AI's intuitive Gantt chart functionalities, teams can visualize the big picture, allocate resources efficiently, and stay on track with what truly matters.
scalenow AI
A visual way to manage tasks, workflows, timelines
The all-in-one platform for Board Management in scalenow AI
- Kanban Boards: Visualize workflows and move tasks across status columns (e.g., To Do, In Progress, Done).
- Task Boards: Focus on breaking down and tracking individual tasks.
- Custom Boards: Tailor boards to specific workflows with customizable columns and filters.
- Backlog Boards: Prioritize and organize tasks for sprints or future work.
- Timeline Boards: Plan and track schedules using Gantt chart views.
- Sprint Boards: Manage sprint goals and progress for agile teams.
- Bug Tracking Boards: Streamline issue resolution with categorized tracking.
Task Assignment
One View of Task Assignment
In scalenow AI, filtering tasks assigned to yourself is simple and efficient. Use the filter panel to set the "Assignee" field to your name, instantly displaying all tasks you are responsible for.
This helps you stay focused and organized by narrowing your view to only the work that matters to you. Save the filter for quick access in the future.
Access Metrics Using Natural Language
Users can query scalenow AI system using natural language to retrieve project-specific information.
Whether they need to check the budget, review pending issues, or list assigned tasks, the NLP engine interprets their intent and fetches the relevant data from the database.
- Saves of interaction
- Suggestive prompts
- Favorites Chats
- Store History
- Message to extract from database
- Information retrieved from database
- Information retrieved from LLM
- Choose file to Upload
- Upload file to LLM for analysis
- Switch between database and LLM
- Area to interact
- Send Button
Managing Requirements
Requirements Analysis
Requirements are elicited using scalenow AI by analysing uploaded or selected documents to extract relevant information, identify key objectives, and detect emotional tones or contextual nuances.
The tool facilitates an interactive, business-friendly chat interface, enabling users to query documents dynamically, refine narratives, and gather precise insights aligned with stakeholder needs efficiently.
Scope Management
Managing Scope
With scalenow AI, managing scope becomes more efficient by leveraging its seamless integration with leading LLMs such as OpenAI, Azure AI, Vertex AI, Mistral, Gemini, and more. This adaptability allows teams to:
Refine Requirements Dynamically: By querying documents and extracting key insights, users can identify scope boundaries and avoid unnecessary expansions.
Leverage Model Strengths for Specific Needs: Effortlessly switch between models to suit project demands—whether it's deep domain expertise, rapid prototyping, or nuanced language understanding.
Adapt to Evolving Project Goals: Flexibility to experiment and optimize responses ensures that businesses can realign their project scope quickly as objectives evolve.
Avoid Vendor Lock-in: Freedom to select and combine models provides the agility to align scope management with the best-suited AI capabilities, reducing dependency on any single provider.