New — Argy Chat
Argy Chat — Governed AI Assistant for every team
A secure, governed chat experience for the entire organization, not just engineers. Argy Chat integrates with the LLM Gateway to enforce policies, quotas, and audit trails while grounding answers on approved knowledge and connected tools.
Why Argy Chat
Adopt AI at scale while keeping governance and knowledge boundaries intact.
Governance by design
All prompts flow through the LLM Gateway with policies, quotas, and full audit trails.
Assistant for every role
From HR to finance to product, everyone gets guided answers grounded in company knowledge.
Scoped enterprise knowledge
RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses. honors user and tenant scopes so confidential documents stay private while shared sources stay consistent.
Connected MCP tools
Bring internal or external tools from the user workstation via MCP servers, without bypassing governance.
Use Cases
Improve collaboration and decision making across the company, not just in engineering.
HR and People Ops
- • Policies, onboarding guides, and HR procedures
- • Consistent answers to employee questions
- • Auditability for sensitive topics
Product and Marketing
- • Product briefs and feature FAQs
- • Competitive research grounded in internal docs
- • Approved messaging and tone
IT and Engineering
- • Runbooks, playbooks, and internal standards
- • Self-service answers without ticket overload
- • Same governance as Argy Code and the platform
Legal and Compliance
- • Policy references and evidence retrieval
- • Controlled access to sensitive material
- • Traceable, compliant AI usage
How It Works (high level)
Argy Chat is a governed interface on top of your LLM Gateway and enterprise knowledge sources.
- 1) Connect governance — configure LLM providers, quotas, and policies in the LLM Gateway.
- 2) Index knowledge — upload documents or share curated collections for the tenant.
- 3) Chat with scope — each user accesses their own uploads plus shared content, with enforced permissions.
- 4) Audit and improve — track usage and refine governance rules over time.
Argy Chat experience
A fast, organized workspace with governance built in, from projects to connected tools.
Projects, folders, threads
Keep long-running initiatives structured with projects and folders so teams can share context.
File uploads + RAG
Upload PDFs, Markdown, and docs to ground answers. Personal files stay private by default.
Connected MCP tools
Call internal systems from MCP servers running on user workstations, with governance preserved.
Fast and offline-ready
Portal performance stays high with caching and offline fallback for uninterrupted collaboration.
Examples & Callouts
Concrete examples with governance in the loop.
Policy-aware answers
Questions are grounded on the latest policy docs and cite internal sources, reducing ambiguity.
Private and shared knowledge
Personal uploads are private by default. Platform admins can publish shared documents for everyone.
FAQs
Common questions about Argy Chat.
Who is Argy Chat for?⌃
Argy Chat is designed for every team: In Argy, a product groups an application/service and its environments. It’s the unit where you apply modules, policies, and automations., legal, HR, sales, support, and engineering. It keeps answers aligned with governance and approved knowledge.
How is it different from a generic chat assistant?⌃
Argy Chat uses the LLM Gateway for governance: policies, quotas, audit logs, and provider routing. Responses are grounded with enterprise RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses. scopes.
Can users access only their own documents?⌃
Yes. User uploads are indexed into a private scope, while platform admin content is shared across the tenant. Permissions remain enforced.
Can Argy Chat connect to internal tools?⌃
Yes. Users can connect MCP servers running on their workstation so Argy Chat can call approved tools without leaving the governed environment.
Is it tied to the same AI governance as Argy Code?⌃
Yes. Argy Chat routes all requests through the LLM Gateway and follows the same policies, quotas, and auditability.
European SaaS
GDPR compliant & hosted in EU
No Lock-in
Built on open standards
API-First
Everything is automatable
Ready to turn AI into an enterprise operating system?
Share your context (toolchain, constraints, org). We’ll propose a pragmatic rollout that makes AI governed, scalable, and sovereign.