Product Roadmap

Where we're going.

A published roadmap so you know what you're buying into.

NOW Q2 2026

Recruiter Web App

The app you sign in to today. Describe work in plain language, the platform executes in your tenant, the AI never sees raw values.

Web app at app.envoyrecruit.com — any modern browser, no install
Per-tenant database, encrypted at rest with a customer-managed key
Privacy membrane (PII redacted to typed placeholders before any LLM call)
LLM audit log (every call recorded with placeholder counts; never raw content)
Row-level security at the database layer (no cross-tenant read path)
Core use cases: JD formatting, candidate alignment with internal + submission variants
NEXT Q3 2026

Smart Profile Intake + Talent Matching

Talent uploads resumes, LinkedIn profiles, or websites. The platform parses documents in the tenant, builds structured profiles, and feeds the matching engine.

Document parsing (Word, PDF, text) via Azure Document Intelligence inside the tenant
LinkedIn and website scraping for profile data
Capability matching engine (not keyword matching)
Talent profile editing and management in the app
Mac and Linux runtime builds
COMING Q4 2026

API Connections + Workflow Automation

The platform connects to your internal tools (accounting software, CRM, ATS, ERP) and automates entire workflows, not just individual tasks. Cloud-to-cloud OAuth for systems that support it; a small headless connector for systems that don't.

API connector framework (connect to your existing tools)
Credential management via guided setup (runtime prompts for what it needs)
Workflow builder (chain tasks into automated processes)
Personal workflow automation (automate your own repetitive tasks)
Client process automation (end-to-end business function delivery)
Staffing firm workflow automation (job order to submission pipeline)
FUTURE 2027

Enterprise + Blended Teams

Enterprise deployment options, blended human-AI teams on complex engagements, and deep integration with staffing firm operations.

Enterprise onboarding with IT-managed deployment
Blended team engagements (human + AI on the same work)
Fully offline mode with local models
Engagement chaining and performance history
Multi-runtime coordination across teams

Start with what's available now.