One AI that plans your software,
from PRD to production.

Eleven sections, every capability shown end-to-end on real product shapes. No salespeak — just the actual UI, the actual numbers, the actual graph.

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End-to-end AI workflow

One PRD in. A shipped release out.

Drop a Product Requirements Doc. Stride drafts the epics, breaks them into stories with acceptance criteria, writes the Gherkin tests, and produces release notes when the last story closes — all on one connected graph.

Step 1 — Input

Drop the PRD

1PRD
Q3-search-roadmap.pdf
14 pages · uploaded 2m ago

Stride parses the PDF, extracts goals + scope.

Step 2 — Cluster

AI generates epics

3epics
Search relevance7 stories
Faceted filters6 stories
Saved searches5 stories

Goals collapse into themed epics with priority + sequencing.

Step 3 — Decompose

Stories + acceptance criteria

18stories · 67 ACs

Add typeahead with debounced search

HIGH5pts

Indexed full-text search on documents

CRITICAL8pts

Sort facets by frequency, not alpha

MEDIUM3pts

Each epic breaks into stories — with story points + Gherkin-ready ACs.

Step 4 — Verify

AI writes the .feature files

142tests
Feature: Typeahead search
Scenario: Debounce
Given the search box is empty
When I type "dock" quickly
Then only one request fires
And results appear ≤200ms

Acceptance criteria → executable Gherkin scenarios.

Step 5 — Ship

Release notes at ship time

v3.4release
v3.4 · Searchshipped
✦ New
Typeahead with debounce
Faceted filters
✓ Fixed
Sort order on filter dropdowns

Once stories close, release notes write themselves.

1 PRD3 epics18 stories67 acceptance criteria142 Gherkin testsv3.4 shipped

One run · ~6 minutes of AI compute · everything connected on the graph the next prompt will traverse.

Plan

Plan, backlog, and ship — with AI in the loop.

Sprint planning, story drafting, dependency tracking, release notes — all running on one graph the AI can traverse.

AI story + epic + PRD generationKanban + sprints + releases + backlogDefect-prediction priorityAI release notes w/ version historyStory dependencies (graph)Threaded comments + @mentionsLive presence + SSE activityVelocity + burndown analytics
Design

Architecture that thinks alongside you.

Interactive diagrams, AI-generated solutions scored across 5 dimensions, ADRs with version history, and a tech radar that updates as you decide.

AI Solutions (3-5 scored options)AI Architectural ReviewADRs w/ version historyArchitecture Fitness scoringDependency matrixTech Radar (Adopt/Trial/Assess/Hold)PR drafts from findingsInteractive xyflow diagrams
Optimize

Find the bottleneck. Replace the legacy. Calculate the ROI.

BPMN process mining with bottleneck heatmaps, automation discovery with payback math, and Legacy Intelligence — AI that reads decades-old code and writes the modernization plan.

AI bottleneck detectionProcess simulation (what-if)Automation kanban + ROI mathFuture-process generationLegacy code analysisModernization roadmaps with $ paybackRequirements extraction from legacyStrategic Q&A over legacy systems
Verify

Tests written by AI. Quality measured continuously.

AI generates Gherkin from your stories. Traceability shows every story's coverage in one heatmap. Defects, severity, and quality gates ride alongside.

AI test generation w/ Gherkin exportTest pyramid (unit/int/e2e/manual)Traceability matrixDefect analyticsQuality gatesCoverage gap detectionExploratory testing notesTest runs trend
One graph

Every artifact is one node away.

One story connects to its sprint, its ADRs, its diagram, its process flow, its tests, and its defects. Not four tools glued together — one graph the AI traverses every prompt.

Cross-module connected graph: a story links to artifacts in every moduleStory · SP-247Sprint 14EpicRelease v3.2ADR-014ADR-015DiagramSupport flowAutomationTC-901TC-902TC-903Defect
PlanDesignOptimizeVerify
Why Stride

Five things you can't do in any other tool.

One graph, not four tools

Stories, ADRs, diagrams, processes, tests, and defects all live on the same connected graph. The AI can traverse the whole thing in one prompt.

Plan ↔ Design ↔ Optimize ↔ Verify

End-to-end AI, not a chatbot bolted on

PRD in, release out. The same AI drafts epics, stories, ACs, Gherkin tests, release notes — and learns from your workspace context every prompt.

PRD → Epic → Story → Test → Release

Legacy intelligence — nobody else has it

Drop in a COBOL banking core or a 2009 Java monolith. AI reads the code, identifies bottlenecks, generates a phased modernization roadmap with $-cost and payback.

14 AI analysis routes · 8-tab dashboard

Process mining + automation ROI

BPMN flows with bottleneck heatmaps. Automation kanban with annual savings + payback months calculated. Not just visualization — a quantified business case.

$462K/yr saved across 4 automations

Cost-cap on every AI call

Per-workspace monthly $ ceiling enforced atomically with a Postgres advisory lock. Budget-exceeded? Graceful 402 with the next-reset date — never a surprise invoice.

Reservation + finalize · 24/7 metered
Ecosystem

Plugs into the rest of your stack.

Native integrations, real-time collaboration, enterprise-grade security, and a typed API + MCP server for your own agents to read and write the graph.

IntegrationsOAuth + webhook

Jira

Story sync · sprint import

GitHub

PR linking · status sync

#

Slack

Activity digests · mentions

Real-time SSE

Here now

A
M
J
S
+3

@maya can you review the typeahead ACs?

Jamal moved SP-247 to Review · 2s ago

Security & RBAC
SOC 2 Type II
SSO + 2FA
Per-action audit
Owner / Admin / Contributor / Viewer
Developer surface
REST APInl_•••••• · USER · READ_WRITE
MCP serveragent-mode · 600/min
WebhooksHMAC-signed
Custom AI providerAnthropic · OpenAI · Groq

Ready to plug your team into the graph?

Stride starts at $5/seat/month, paid from day 1. Cancel any time.

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