Product tour
Walk the platform, screen by screen
Real screens, real project data — in the order your team will use them: set up the project, build the foundation, then run the delivery chain.
Smart Co-work turns your running system into an operational knowledge base, then drives requirements, business & technical specs, tests and code with AI agents — while your team reviews and approves every change before it ships.
Self-hosted in your infrastructure · Works with Jira Confluence Google Drive GitHub / GitLab
In the AI-Driven Development Lifecycle, AI becomes the primary executor across every phase of delivery, and your engineers become decision-makers and validators. Smart Co-work is how SmartOSC brings AI DLC to enterprise software teams.
Agents draft requirements, business & technical specs, test plans and code — grounded in your system's actual knowledge, guided by role personas, templates and reusable skills you govern.
Nothing writes itself into your source of truth. Every agent output goes through a diff review — the same approve-then-push gate on every screen, for every artifact, every time.
Approved artifacts flow back into the knowledge base, so the next spec, the next test and the next feature start from everything your organization already knows — not from zero.
Four moves take your organization from tribal knowledge in ten tools to an AI-operable delivery pipeline.
Point Smart Co-work at where your knowledge lives. Agent teams fetch, read and distill it into systems, features, services and user flows — staged for your review before anything is committed.
Committed knowledge lands in a three-store engine: a knowledge graph for structure, semantic vectors for meaning, and versioned documents for content — queryable by humans and agents alike.
Drive Requirements → Business Spec → Technical Spec → Testing Spec, plus Coding and Testing deliverables. Each doc type has its own templates, role personas and skills — every output cites its sources.
Every ticket is a governed workspace with exactly its own file set. Agents work only inside it; you review the diff and push to Jira, your repos or the KB. The loop compounds.
Real screens, real project data — in the order your team will use them: set up the project, build the foundation, then run the delivery chain.
Built for real B2B software projects: many roles, many systems, strict governance — and deadlines.
A living map of your systems: knowledge graph + semantic vector search + versioned document store. Not a wiki that rots — a base that agents operate on.
Multi-agent pipelines fetch from Jira, Confluence, Drive and Git, then distill raw pages and code into structured knowledge — with progress you can watch, stop and resume.
Requirements, business, technical and testing specs, plus coding and testing deliverables — generated from your KB, structured by configurable templates and status machines.
Ticket = workspace = file set. Agents may only touch the files that belong to the ticket — enforced by hard guardrails, not good intentions. Push back through diff review.
Run hosted agents on your server, or local agents on the developer's own machine via the desktop app. Two equal paths to the same experience — pick per task.
Ask anything about your system and get answers grounded in the knowledge graph — with citations. Read-only by design: exploration can never mutate your documents.
Role-based access per feature and action, configurable workflow status machines, auditable generation history, and project provisioning from versioned profiles.
Turn any spec, diagram or document into PDF, DOCX, PNG or HTML — rendered server-side, ready for clients and stakeholders who live outside the platform.
Jira and Confluence two-way, Google Drive ingestion, GitHub/GitLab multi-repo per project, and an MCP server so external AI tools can query your KB too.
Smart Co-work deploys single-tenant inside your cloud or on-premise — because for B2B delivery, the knowledge base is the crown jewels.
Runs in your AWS account or data center. One stack per organization — no shared anything.
All model traffic flows through a proxy you configure — choose providers, models and spend limits.
Feature-level and action-level permissions, per project. Agents inherit the same boundaries.
Every generation is a ticket with inputs, sources and status history. Know what the AI did, and why.
Banks, insurers and securities firms run Smart Co-work inside their own infrastructure. Licensing scales with your delivery team — AI usage is billed at provider cost, never marked up.
The Smart Co-work desktop app adds the local execution path: AI agents run on the developer's own machine, inside a mirrored project workspace — same governance, zero code leaving the laptop.
Start by distilling one real system. Within a day, your team is generating specs that cite your own knowledge — and reviewing AI work instead of writing from zero.