DokyDoc ↗Book a DemoDoc-to-Code Governance · by Deyora IntelligenceFor every BRD. Every repo. Every release.
"This is what I've been doing manually in Excel before every quarterly review. DokyDoc just runs it all the time — with an audit trail."
If two of these feel like your Tuesday, the rest of this page is for you.
You've been here:
A PRD was signed off six months ago. A feature shipped last week. They don't match. You find out at the demo.
You've been here:
Two hundred BRDs in Confluence. Nobody has read them end-to-end. Nobody knows which ones are still true.
You've been here:
A senior engineer leaves. Three months of tribal knowledge walks out the door. Onboarding the replacement takes six weeks.
You've been here:
Your README lies. Your API docs lie. They describe a system you deprecated 18 months ago. You don't know which docs are still true.
Every role has a different pain. Here's what DokyDoc does for yours.
Your codebase doesn't explain itself. Onboarding is slow. You don't know what scope drift cost you last quarter until the retro.
You have a quality, productivity, and audit-readiness problem masquerading as a documentation problem.
You sign off on a BRD. Six months later you find out what actually shipped — at the demo.
Your README lies. Your colleagues interrupt you with questions a chatbot could answer.
No new workflow for your team. DokyDoc reads the docs and the code you already have — and tells you, in real time, where they disagree.
Point DokyDoc at your Confluence, Notion, Google Docs, Jira, or GitHub. No migration, no rewrite of how your team works. Read-only by default.
DokyDoc extracts atomic business rules — Processes, Rules, Attributes — from prose specs, then maps each one to the functions, endpoints, and modules in your codebase using a 3-Tier algorithm.
You get a live traceability matrix, drift alerts when code stops matching intent, auto-generated UAT checklists, and an audit-ready evidence trail — all without your team changing tools.
DokyDoc reads what your team already writes, in the tools your team already uses. Read-only by default.
Pre-paid wallet. Real-time cost per call. Every document analysed, every file scanned — visible cost, visible value. Refunds when we don't deliver.
Finance asks where the money went. We hand them a per-user, per-feature breakdown without a ticket.
DokyDoc was built multi-tenant from day one. Here's what that means concretely — every point below maps to code, not marketing copy.
Every query in DokyDoc is scoped to your tenant at the database layer with composite indexes — so even a code bug can't return another customer's data. Cross-tenant access returns 404, not 403, to prevent enumeration.
Four built-in roles, twenty granular permissions. Decide exactly who can read specs, view code mappings, run analyses, or export audit trails. Every privileged action is logged.
Integration credentials (Jira, Confluence, GitHub tokens) are encrypted at rest with per-field Fernet encryption. JWTs are short-lived with separate refresh-token validation.
Every document upload, analysis run, and access event is recorded with actor, tenant, and timestamp — exportable for compliance reviews and SOC 2 / ISO 27001 readiness work.
DokyDoc isn't publicly launched yet — and that's the point. The first teams to come on board shape the product, get founder-level access, and lock in pricing that holds well beyond GA.
Direct line to the engineering team — Slack channel, weekly office hours, your feedback on the roadmap.
Discounted long-term pricing that holds through general availability, in exchange for thirty minutes of feedback every fortnight.
Tell us which stack matters to you — Confluence, Notion, Jira, GitHub, Linear, GitLab — and we'll prioritize it.
Bring one BRD and one repo. We'll run them through DokyDoc and walk you through the coverage matrix — live, on a call, with a founder.