Shrevo · Engineering & Delivery Intelligence

Stop Retyping Client Specs into Tickets.
Keep Requirements, Code, and Sprints Connected.

Shrevo combines project management with permissioned, cited AI and human-in-the-loop execution. Upload raw requirements (PDF, DOCX, XLSX, MD), extract draft backlogs for human review, answer engineering questions with exact chunk citations, and spot delivery risks before milestones slip.

Work, knowledge, and cited, permissioned AI in one governed workspace — so teams stop retyping documents into tickets and stop running delivery from scattered tools.

DEMO PREVIEW
45-second Shrevo product tour — portfolio health, the board, a task, advisor findings, and delivery forecast.
Context-awareRequirements to release
Enterprise-readyIdentity, permissions, audit
One connected viewWork · code · docs · decisions

Project Management

Project Management Built for Engineering Teams

Shrevo connects projects, tasks, requirements, documents, decisions, and GitHub signals in one governed workspace — so engineering teams can plan, execute, and deliver with cited context, not scattered tools.

Project planning

Organize projects, tasks, requirements, and milestones with clear ownership and priorities.

Engineering execution

Run work on Kanban, sprints, and timelines — connected to code, docs, and decisions.

Delivery visibility

Track progress, dependencies, and delivery risk with advisor signals computed from the board.

AI-powered context

Ask about your work and get cited, permission-aware answers grounded in retrieved project content.

Different tools solve different parts of the problem.Shrevo is built for the gap between them.

Jira knows the tasks. Notion knows the documents. Slack knows the conversations. Generic AI only knows your project context when that context is available to it.

  1. Requirements
  2. Documents
  3. Decisions
  4. Tasks
  5. Development
  6. Delivery
  7. Risk
  1. Work

    Projects · Tasks · Sprints · Delivery

  2. Knowledge

    Documents · Project memory · Context

  3. Intelligence

    Ask Project · Risk · Forecast

  4. Execution

    People review · decide · act

Shrevo is one governed system for work, knowledge, and cited AI — not a PM tool with a chatbot attached.

Today

  1. Someone reads a 20-page requirements document
  2. Someone interprets requirements
  3. Someone creates tickets
  4. A developer asks for clarification
  5. Context is copied into Slack
  6. Someone asks ChatGPT separately
  7. A PM checks the board
  8. Risk is discovered late

With Shrevo

  1. Project knowledge is in the same system as the work
  2. AI uses that project context (permission-checked)
  3. Work is connected to the knowledge that created it
  4. People review and execute
  5. Risk and delivery signals stay visible in the same place

Where the gap appears

01Hybrid RAG

What teams need

Keep specs, SOWs, and project files searchable with citations

The gap

Documents become separate repositories

Shrevo

Full Hybrid RAG over PDF, DOCX, XLSX, and MD with Qdrant + Postgres FTS

PDF / DOCX / XLSX / MDHybrid RAGCited answers
PDFDOCXXLSXMDQdrant + Postgres FTS

02Cited Ask Project

What teams need

Ask questions about the project

The gap

Generic AI needs context supplied to it

Shrevo

Cited Ask Project search — every answer points at retrieved chunks

Generic AIProject contextAsk Project

03Delivery risk

What teams need

Understand delivery risk

The gap

Dashboards show status; interpretation is manual

Shrevo

Deterministic risk and blocker signals from the board

Why is this project at risk of missing the milestone?

Example · Contributing factors

  • A blocked integration is slipping the critical path
  • A requirement changed after work started
  • Dependent work is still unassigned

Sources

Task recordRequirements versionProject record

Recommended next look — a person decides what to do. Not autopilot.

04Spec-to-draft backlog

What teams need

Turn a spec into a backlog without retyping

The gap

Tasks and status exist, but context can live elsewhere

Shrevo

Spec-to-draft backlog extractor — drafts for human review

SpecDraft backlogHuman review

05Confirm-gated writes

What teams need

Let AI propose work without unsupervised writes

The gap

Work and engineering knowledge can be separated

Shrevo

7 confirm-gated agent write tools — Approve or Dismiss before anything is created

Proposed writeConfirm gate

06AI access

What teams need

Control AI access

The gap

AI retrieval can become another security boundary

Shrevo

Permission checks before AI retrieval

PromptRetrieval

07Adapt the product

What teams need

Adapt the product

The gap

Standard platforms constrain how deeply the workflow can be tailored

Shrevo

Configuration + direct product engagement / dedicated build

Standard platformConfigurationDirect engagement

See the difference

The same moment, two distances.

Why is this project at risk?

Traditional workflow

  1. Open the board
  2. inspect the sprint
  3. check blockers
  4. read comments
  5. search documents
  6. ask people
  7. form a conclusion

With Shrevo

“Why is this project at risk of missing the milestone?”

Example · Contributing factors

  • A blocked integration is slipping the critical path
  • A requirement changed after work started
  • Dependent work is still unassigned

Sources

  • Task record
  • Requirements version
  • Project record

Recommended next look — a person decides what to do. Not autopilot.

How Shrevo fits with the tools you already know

Shrevo is built for the gap between work, knowledge, and intelligence — Hybrid RAG over PDF, DOCX, XLSX, and MD, spec-to-draft backlog extraction, and seven confirm-gated write tools in one governed workspace.

Built for

The connection between work, knowledge, and intelligence.

Work

Work management
Core

Knowledge

Project knowledge
Hybrid RAG (PDF, DOCX, XLSX, MD)
Work + knowledge connection
Core product model
Project decision context
Connected to project memory

AI

AI over project context
Core
Evidence / citations
Cited chunk retrieval
Permission-aware AI retrieval
Checks before retrieval
AI-assisted execution
7 confirm-gated write tools

Delivery

Delivery intelligence
Risk + Delivery Forecast
Engineering delivery
Core positioning

Operating

Customization
Product + dedicated build
Roadmap influence
Direct product engagement
Deployment flexibility
Cloud + dedicated deployment path
Operating model
Work + Knowledge + Intelligence

Cells describe category positioning, not an exhaustive feature inventory.

The right tool depends on what you're trying to solve.

Jira + Confluence

Mature enterprise work ecosystem.

ClickUp

Highly configurable all-in-one work.

Linear

Focused product and engineering workflows.

Notion

Flexible knowledge and workspace.

Shrevo

Connected work, knowledge, and intelligence.

If the problem isn't managing tasks — but keeping the context behind those tasks connected — that's where Shrevo fits.

FOUNDING PARTNER ONBOARDING

Don't Have Time to Migrate Tools? Our Engineers Set Up Your Workspace in 48 Hours.

Teams don't stick with new platforms when they have to migrate specs and backlogs manually. Join as a Founding Partner and our engineering team acts as your forward-deployed AI team.

48-Hour Spec & Backlog Migration

Send us your active project specs, SOWs, and current ticket export. We ingest, chunk, and verify your project memory for you.

Direct Engineering Slack Channel

Get a shared Slack/Teams channel with Shrevo's core builders to tune retrieval and custom workflows for your team.

Locked Founding Partner Rates

Lock in early-adopter flat workspace pricing for 24 months.

Apply as a design partner

Limited to 10 teams this quarter.

SECURITY FIRST

Security you can document

RBAC, SSO, audit, optional AI, and self-hosted ownership — described honestly for security reviews, not as a certification badge.

Infrastructure encryptionAt rest via your host / volume policy
TLS in transitHTTPS at the edge
Isolated & Self-Hosted ReadyDeploy on dedicated single-tenant infrastructure (SOC 2 Type I in progress)
Enterprise SSO / SAMLDeployment-configured SAML (environment IdP)

Stop translating work between tools.
Keep the context connected.

If your problem is the gap between work, knowledge, and intelligence, Shrevo is built for that — not as another board, and not as a chatbot on top of one.

Prefer email? sales@shrevoapp.com