Autonomous
High frequency, clear rules, contained impact.
- Customer Q&A and ticket triage
- Knowledge Q&A, report generation
- Self-serve data queries, alert triage
Agent acts on its own.
EasyStack
EasyStack Agent Platform
Cortex Enterprise Agent Platform
- Self-developed
- Full-chain observability
- Private · data never leaves
One platform for the whole lifecycle — build, govern, observe, run.
Cortex is a self-developed enterprise agent platform with full-chain observability and private deployment. It turns AI capability into governed, reusable, publishable digital workers, so the people who know the business can build them safely. Business teams build and publish agents; IT keeps RBAC, human approvals, audit and private deployment under control. Data never leaves your boundary.
Reality check
Most agent projects stall between demo and production
EasyStack reports that 90% of agent projects stall between the demo and production. Consumer AI is fluid; enterprise AI stalls on data, governance, and trust — the gap is rarely the model.
The agent gap
AI works well in daily life, then the enterprise systems open and it falls apart: isolated data, no governance, no context.
No data foundation
Data sits in spreadsheets, email, legacy ERP, and scattered databases the agent cannot reach. Wiring it up takes longer than the agent itself — wrong data, wrong answers.
Misplaced expectations
Some teams overestimate agents and expect full automation out of the box; others dismiss them as a shell. Wrong scenario, wasted investment.
Building it is an engineering problem. Applying it is a judgement problem. Cortex is built for both.
Proven in production
The economics at scale
The figures below come from an EasyStack reference deployment running core financial workloads at a large bank.
20+Active scenariosCore financial workloads running in production at a large bank.
−80%Deployment costDeployment cost, cut by more than 80%.
1 dayTime to go-liveFrom month-level release cycles to go-live in a single day.
60%+Higher throughputHigher throughput on the same infrastructure (EasyStack reference deployment).
Scenario boundaries
Where agents pay off, and where they do not
Across service, finance, HR, sales, and IT the test is the same: high frequency, clear rules, contained impact.
Human in the loop
Partial understanding, judgement, moderate impact.
- Model review, change risk assessment
- Credit pre-screening, invoice checks
- Lead scoring, complex workflow upkeep
Human reviews and approves.
Not yet · human-led
Novel, high-risk, regulated, irreversible.
- Final call on major incidents
- Sensitive budgets, fund transfers
- Irreversible production changes
Human decides.
Autonomous zones run on sandboxes; assisted zones on observability and approval; human-led zones on audit and private deployment.
Platform positioning
Build it, govern it, see it, keep it private
One platform for the whole lifecycle: build, govern, observe, run.
Agent Factory
Business users build their own agents.
App Marketplace
Reusable skills and apps.
Operations Hub
Observable and governed.
Three structural differences
Self-Developed
Self-developed engine
Fully self-developed — no third-party framework, fully transparent and modifiable.
Observable
Full-chain observability
Every agent, RAG, and workflow step is traceable — debuggable and reviewable.
Private & Secure
Private and secure
Full-stack intranet deployment; data never leaves. RBAC plus human approval.
In short — Cortex turns AI capability into governed, reusable, publishable digital workers, not a scattering of chat windows.
Who uses it
Business people can now build with AI
The core question: can the people who know the business build, publish, and govern AI agents themselves — and wire them safely into daily work?
Business users
Build without writing code
- Chat or drag-and-drop workflows, no code
- Query data, read docs, call tools, act
- Orchestrate branches, loops, and approvals
Business managers
Governed and compliant
- Fine-grained rights over tools and data
- Sensitive actions trigger human approval
- Full audit trail for every change
IT and platform ops
Central control, build once, deploy widely
- Manage models and integrations
- Build once, publish via a secure API gateway
- Private deployment, data never leaves
Governance
Granular RBAC control, human approval on risk
RBAC everywhere
Role-based control across tools, skills, and apps — user groups × roles × individuals, additive union model.
Security tiers + approval
Critical tools carry a security tier that gates them behind approval — dangerous actions stay blocked.
Sandbox isolation
Code, documents, and browsers run in Docker container sandboxes with automatic lifecycle management.
Full audit trail
Every tool call, API access, and data change is logged, including whether the run was sandboxed.
Private deployment
Full-stack intranet deployment — data never crosses your boundary.
Enterprise NL2SQL
Plain-language queries — safe, self-improving
Self-serve data
Plain language to SQL to execution to chart — no queueing for the data team.
Safe for production
Read-only connections, AST whitelisting, and execution timeouts — data cannot be deleted.
Self-correcting
Self-healing retries; the AI never guesses identifiers from memory (anti-hallucination).
Gets sharper with use
Approved question-to-SQL pairs are stored for reuse, so repeated questions get faster.
Automatic charts
Time series to line, OHLC to candlestick, rankings to bar — swap to a pie chart instantly.
Tool ecosystem
From chatting to doing — wired into your APIs
Built-in Tools
60+ built-in tools
Files, code execution, browser, computer control, image generation — ready out of the box.
MCP Protocol
MCP protocol support
Standard MCP connects Cortex to the external service ecosystem.
API → Tool
Automatic API wrapping
Any existing HTTP API can be wrapped and standardised into OpenAI-format function tools, so legacy interfaces become tools the AI can call.
App-as-Tool
Apps as tools
Knowledge bases and LLM apps are directly callable as tools, and can orchestrate each other.
Standardised API wrapping gives the AI your existing services without rewriting the backend.
Technology foundation
Self-developed, sovereign, no vendor lock-in
Self-Developed
Self-developed agent engine
Tool loop, context compression, sub-agent scheduling, kill/steer — all in-house.
Multi-Vendor
Multi-vendor LLM abstraction
OpenAI / Claude / Qwen / DeepSeek / Azure / Ollama — switch freely, mix domestic and international models.
pgvector
Native pgvector retrieval
Knowledge and memory run directly on PostgreSQL — no separate vector database.
Modern Stack
Modern stack
NestJS + Vue3 + PostgreSQL/pgvector + Docker.
Sovereign and fully controllable — not tied to any single model vendor.
Customer value
Clear value for every stakeholder
Business units
- Answers from your documents
- Data the team can query itself
- Processes that run themselves
- Gets smarter about the business
IT & Security
- RBAC control
- Approval on critical actions
- Full-chain observability
- Private deployment, data stays in
Management
- Fully sovereign and controllable
- Not locked to a cloud vendor
- Knowledge captured as an asset
- Fast, tailored deployment
Learn more about the Cortex Enterprise Agent Platform
For scenario selection, private deployment, and technical architecture, talk to our team. Cloudist delivers and supports EasyStack products across Europe and the Middle East.
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