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Whizpot replaces the patchwork of project management, issue tracking, QA, and reporting tools with one AI-native platform. Same data, same hierarchy, same AI, from kickoff to delivery.
Stop manually breaking down documents into project plans. Whizpot reads your SOWs, proposals, spreadsheets, and emails, then returns a complete, structured backlog ready for your team to execute.
Upload any document and get features, stories, tasks, acceptance criteria, test cases, and UAT items.
Accepts PDF, DOCX, XLSX, CSV, plain text, and free-form prompts.
Every generated item links back to its source in the original document.
AI drafts, you review and approve. Nothing enters your workspace without your OK.
Org, Workspace, Team, Project, Feature, Story, Task. Every level has its own URL, permissions, settings, and roll-ups. Nothing lives in a silo.
From org-wide strategy to individual tasks, every level of work has a home.
Task progress rolls up through stories, features, and projects automatically.
Access controls follow the hierarchy. Assign users to the right level automatically.
Bookmark a task, share a feature view, link to a workspace dashboard.
AI generates test cases from acceptance criteria. Playwright executes them. AI analyzes failures and creates issues. Your QA team focuses on edge cases instead of regression.
Comprehensive test cases covering happy path, edge cases, error states, and permissions.
Deterministic browser automation with screenshots, traces, video, and logs.
AI explains failures with evidence and suggests fixes automatically.
Failed tests can create issues with full evidence attached.
Native iOS and Android apps with 15 screens. Boards, sprints, chat, AI hub, approvals. Run your project from wherever you are.
Built with Swift and Kotlin. Not a wrapped web app.
Drag and drop tasks across columns on your phone.
Ask questions, generate content, get project insights from anywhere.
Every web URL works on mobile. Bookmark anywhere, open anywhere.
Plug in OpenAI, Anthropic, or your private Ollama deployment. AI runs on your GPU server when privacy matters.
Switch between OpenAI, Anthropic, and Ollama per org or per project.
Run AI on your own GPU server. Data never leaves your infrastructure.
Control which roles can use AI features and which providers they can access.
Set token limits, request caps, and model routing per team.
Sprint velocity, hours vs. estimates, SLA risk, UAT progress. Surfaced as widgets on your dashboard, not buried in a separate reporting tool.
Key metrics at a glance: velocity, burndown, risk flags.
Monitor project health against deadlines and service levels.
Track acceptance testing completion across features and releases.
Generate client-ready status reports from live data.