Platform

Build, run, and govern AI agents from one system.

Design agents and workflows, connect models, knowledge, and tools, then place every action behind policy, approval, and an inspectable run record.

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Zilionixsample-co / operations
Sample product view

Active run

Vendor invoice review

run_sample_7b3e

awaiting approval
Gmail · invoice-1042.pdf

Trigger

email.received

gmail · invoice-1042.pdf

Understand

knowledge.retrieved

hybrid · 3 cited sources

Coordinate

agent.delegated

supervisor → 2 specialists

…

Approve

approval.requested

finance-review · variance 8.4%

5

Act

tool.executed

openapi.erp.update · slack.send

6

Prove

audit.sealed

receipt ready · trace complete

Policy gate

Variance
8.4%
Threshold
5%
Reviewer
Finance reviewer

Run receipt

3 sources · 2 tools

Approval and action will be appended to this run.

3

agent types

42

workflow node types

5

retrieval strategies

114

connector presets

100+

models

01 · Governed run

See one governed run, end to end.

Follow one sample task from its source to a policy decision, approved action, and inspectable receipt.

run_sample_7b3e · sample data

Sample product view

Vendor invoice review

step 1 / 6

Trigger

Work enters through the systems you already use.

An invoice arriving in Gmail starts a versioned workflow with its source attached.

Event

email.received

Evidence

gmail · invoice-1042.pdf

source attached policy evaluated receipt building

02 · Operating model

Everything the run needs, in one operating model.

Creation, context, connections, control, and operations stay attached to the same run.

Create layer

Choose how the work should run.

Use autonomous reasoning, an explicit workflow, or a supervisor coordinating specialists.

Advanced / ReActWorkflowSupervisor

Verified capability

Advanced/ReAct, workflow, and supervisor agents

03 · Build and orchestrate

Choose the operating model the work requires.

Use autonomous reasoning where judgment is useful and explicit workflows where the path must stay deterministic.

Advanced agent

Reason across tools and knowledge.

A ReAct execution loop chooses tools, retrieves context, and records each reasoning event.

Sample product view

01Promptrecorded
02Knowledgerecorded
03Tool choicerecorded
04Resultrecorded

Versioned configuration · permissions · guardrails · traces · receipts

04 · Context and tools

Connect the context and systems the work already depends on.

Sample product view

Model routing

OpenAIprimary
Anthropicavailable
AWS Bedrockavailable
Azure OpenAIavailable
DeepSeekavailable

100+ models available through provider discovery, with provider-level fallback, limits, and spend controls.

Retrieved context

Purchasing policy

knowledge base · hybrid · 0.92

PO-8841

purchase-order API · exact match

Vendor record

knowledge graph · 2-hop relation

Semantic, MMR, HyDE, hybrid, and multi-query retrieval. Vector and graph connections point to externally operated vector and graph providers.

Scoped actions

Gmail
Slack
Google Calendar
Google Drive
GitHub
Native actions
Google Workspace · Slack
MCP presets
114
OpenAPI import
REST operations

05 · Control plane

Control every consequential action.

Permissions, guardrails, policy, and human judgment operate inside the run—not as a review after the action.

Sample product view

Guardrail result

PII check passed · prompt policy passed

Permission check

finance.write · allowed after approval

Human approval

finance-review · granted at 14:24:08

Run evidence

sources · model · tools · approver · trace

Governance and audit timeline

sealed
14:20:52policy.evaluatedvariance_limit · review
14:20:53approval.requestedfinance-review
14:24:08approval.grantedfinance.reviewer
14:24:09tool.executedopenapi.erp.update
14:24:10audit.sealedsha256:9c41…e2
Model events
4
Tools
2
Tokens
1,842
Latency
3.8 s
Cost
$0.03
Trace
trace_sample_91a
Designed to map toEU AI Act · Art. 12ISO/IEC 42001NIST AI RMFOWASP Agentic Top 10

06 · Deploy and extend

Deploy the same governed model where you need it.

Use the managed control plane.

Operate the governed agent model in the Zilionix-managed environment.

Boundary

Managed application and supporting services

Sample product view

Bring governed work into your stack.

Sample published agent
curl -X POST https://api.zilionix.com/api/v1/public/v1/agt_sample_7b3e \
  -H "X-API-Key: $ZILIONIX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"message":"Review invoice-1042 against purchasing policy"}'

Publish agents through a REST API or as MCP servers. Deploy in Zilionix cloud, a customer VPC, with Docker and Terraform in self-hosted infrastructure, or on premises.

Put your first governed workflow in motion.

Show us the work, systems, and approval boundary. We will show you how it runs in Zilionix.