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Intelligence for Software Delivery

Project ManagementEngineering Intelligence
for the AI Era.

Built for Humans and Agents
See how it works
JiraGitHubSlackCursorGitHub Copilot
The Problem

Traditional PM tools are graveyards of stale data.

They depend on humans to manually create tasks, nudge developers, and hunt for updates. The average PM spends 73% of their time on work that doesn't need a human.

Legacy tools require constant human babysitting.

Before: Legacy PM Last sync: 3 days ago

Auth Module v2

Awaiting update · no assignee · 0 context

Blocked

API Integration Layer

No update in 3 days · PM nudge sent ×2

Stale

UI Component Library

Sprint -2 · no PRD context · unassigned

No owner

3 blockers detected · PM spent 4h on follow-ups with zero resolution

After: SignalsAI Synced just now

Auth Module v2

Agent ⚡

API Integration Layer

AI updated · context-aware PR linked

Shipped ✓

UI Component Library

68%
On track

↑ 40% velocity · 0 manual follow-ups this sprint

Switch to SignalsAI
PM
The Friction

Your Project Manager is a humanticketing machine.

Project managers spend most of their time on work that doesn't need a human. SignalsAI takes it back.

  1. 01

    Deadlines slip silently

    No one notices a task is late until it's already blocked three other things.

  2. 02

    Follow-up loops that never end

    Status updates and pings that should never have been sent manually.

  3. 03

    PRDs gather dust

    Requirements get translated into tasks by hand, losing context along the way.

  4. 04

    Zero codebase context

    Tasks arrive with no understanding of the existing system or its conventions.

  5. 05

    Bottlenecks are invisible

    Dependency chains only surface during crisis — never before.

  6. 06

    Retros no one reads

    Reports miss velocity patterns — written too late, read by no one.

The Workflow

How It Works

From PRD to shipping, without the manual in-between.

SignalsAI reads your product docs, syncs with your codebase, and runs the delivery machine so your team can focus on building.

  1. 01
    Upload your PRD

    Drop in a requirements doc, a Notion page, or a raw text spec. SignalsAI reads it end-to-end. No reformatting needed.

  2. 02
    SignalsAI maps your codebase

    We sync with your Git repos and build a full picture of your architecture, dependencies, and team conventions.

  3. 03
    Tasks and agent prompts appear

    Every task comes with organizational context and a ready-to-use prompt for coding agents.

  4. 04
    SignalsAI watches and adapts

    Risks surface early. Blockers get flagged. Reports write themselves. SignalsAI handles the rest.

The Platform

The command center,not just another board.

Every feature is built around one idea: the less time you spend on process, the more you can ship.

SignalsAI Command Center

Auto Follow-ups

4 stale tickets

AUTH-219 · OAuth Refactor

Stale for 6 days · assigned to @daniel

Nudged ✓

FE-082 · Dashboard Layout

Stale for 4 days · no PR linked

Nudged ✓

API-305 · Rate Limiter

Stale for 5 days · blocking 2 tasks

Nudged ✓

DS-118 · Design System v3

Stale for 9 days · last comment 2w ago

Nudged ✓
4 nudges sent · ~47 min saved0 PM effort

Risk Radar

3 issues detected

Deadline conflict · Sprint 4

AUTH-219 and FE-082 share same due date

AI resolved ✓

API-305 blocked by DS-118

Dependency unresolved · 2 tasks waiting

Flagged

Auth team velocity down 38%

Sprint 11 → Sprint 12 · team notified

Watching
Detected 2.4 days before sprint review1/3 auto-resolved

Sprint Progress

Sprint 12 · 3 days left
0/ 14 tasks

Planning

Dev

Review

Ship

velocity trending up · on track57% complete
AUTH-047

Task Breakdown

OAuth 2.0 Implementation

Codebase mapped · agent context attached

Init OAuth provider configDone
Implement token refresh flowIn Progress
Write unit tests for auth guardsQueued

"Implement OAuth 2.0 token refresh using the existing AuthService pattern. Reference: src/auth/auth.service.ts. Use the established interceptor pattern in src/auth/..."

3 subtasks · context from 4 files

Context-aware task breakdown

SignalsAI reads your codebase first. Every task is created with knowledge of your existing architecture, dependencies, and team conventions — no more "just figure it out" tickets.

  • Auto-assigned based on codebase ownership and expertise
  • AI agent prompts pre-built for Cursor, Copilot, and Claude
  • Dependency graph prevents tasks from being created out of order
  • Automated follow-ups

    SignalsAI tracks progress, knows when something's stalled, and follows up automatically — without a single Slack nudge.

  • Early risk detection

    Monitors for dependency conflicts, deadline pressure, and velocity drops before they become real problems.

  • Living decision log

    Every architectural decision, trade-off, and team call is logged automatically. Your future self will thank you.

  • Self-writing reports

    Sprint reports, retrospectives, and stakeholder summaries drafted for you — based on actual data, not vibes.

Project management is no longer about managing cards on a board. It's about orchestrating intelligence.

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Trusted by enterprises worldwide. Our compliance certifications demonstrate our commitment to protecting your sensitive data and maintaining the highest security standards in the industry.

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