Enterprise AI agent platform
The AI operating system
that shows its work.
Build, deploy, and govern autonomous AI agents — every action permissioned, approved, and logged. From visual workflows to multi-agent supervisors, in our cloud or yours.
01 · The work
Watch the work happen.
Every agent run is a legible record: what it read, what it did, who approved it. No black boxes — receipts.
the chat is the interface — the receipt is the record
02 · Use cases
Where the work piles up.
Fourteen governed workflows across six functions — from the work that starts the run to the human decision and receipt that close it.
Turn account context into controlled action
Meeting prep
The problem
Critical account context is spread across calendars, email threads, CRM records, and prior calls. Reps lose preparation time before the meeting and momentum afterward when notes and follow-up sit unfinished.
The agent
Turn calendar, CRM, and conversation context into a meeting brief and follow-up, while the account executive controls every external message and CRM change.
Example systems in this workflow
Industry example · Uber for Business + Gong
Industry benchmark — not a Zilionix customer result.
See the workflow →Sales roundup
The problem
Pipeline reviews depend on stale fields and manual rollups, so material deal changes surface late. Managers need evidence behind risk signals before changing a forecast or directing account action.
The agent
Turn pipeline changes and account activity into a ranked forecast review, while the sales manager controls forecast overrides and save plays.
Example systems in this workflow
Industry example · Flock Safety + Clari
Industry benchmark — not a Zilionix customer result.
See the workflow →Lead routing
The problem
New leads arrive with incomplete context and wait while teams research fit, ownership, and intent. Blind automation can move faster but risks poor assignments and unreviewed outreach to sensitive accounts.
The agent
Turn new leads and configured intent signals into enriched routing proposals and outreach drafts, while reps and managers control first touch and named-account routing.
Example systems in this workflow
Industry example · Salesforce Customer Zero
Industry benchmark — not a Zilionix customer result.
See the workflow →03 · How it works
One platform, four moves.
01 · BUILD
Describe it, or draw it.
Spin up ReAct agents from a prompt, or draw workflows on a 42-node canvas — with supervisor agents coordinating multi-agent handoffs.
02 · CONNECT
Plug into everything you run.
Five model providers with fallback chains, 114 preset connectors, any REST API via OpenAPI import — plus retrieval over your documents and knowledge graph.
Models
100+ models · fallback chains · spend caps
03 · GOVERN
Policy on every action.
Guardrails check every message and tool call, approvals pause what matters, and every run seals into a hash-chained audit trail.
audit — hash-chained · WORM
15:01:08 approval.granted by=finance.reviewer 15:01:08 tool.executed database.insert 15:01:09 audit.sealed sha256:9c41…e2 ✓
04 · DEPLOY
Run it anywhere.
Our cloud, your VPC with Docker and Terraform, or fully on-prem. Traced end to end — tokens, cost, latency, time-to-first-token.
42
node types
5
LLM providers
114
MCP presets
04 · The platform
The platform, in numbers.
Agents
ReAct agents, workflow agents, and multi-agent supervisors with handoffs. Versioned, immutable configs with draft → publish → rollback.
Visual workflows
A DAG engine with triggers for cron, webhooks, email inboxes and events — plus a human approval node where it matters.
Knowledge
Five retrieval strategies over pgvector or Pinecone, and a bi-temporal knowledge graph on Neo4j, Memgraph, FalkorDB or Neptune.
Integrations
Native Gmail, Slack, Calendar and Drive actions; 114 preset MCP connectors; any REST API via OpenAPI import.
Models
OpenAI, Anthropic, AWS Bedrock, Azure OpenAI and DeepSeek — with fallback chains, per-provider spend caps and rate limits.
Observability
OpenTelemetry traces on every run: tokens, cost, latency, time-to-first-token. Forecasting and anomaly detection built in.
05 · The control plane
The control plane your CISO asked for.
Autonomy is only useful when you can govern it. Everything an agent does passes through policy — and leaves a sealed record.
Guardrails on every surface
11 guardrail providers — Llama Guard 3, Presidio PII, Bedrock Guardrails, OpenAI Moderation and more — enforcing on chat, tools, RAG and workflows, including mid-stream.
Humans stay in the loop
Approval nodes pause any workflow for sign-off. Agent write-backs to your knowledge graph route through a human review queue.
Permissions that mean it
Role-based access across 11 resource groups, org-scoped everything, and Postgres row-level security isolating every tenant.
An audit trail you can hand over
Hash-chained, Ed25519-signed, WORM-stored logs — exportable to Splunk, Datadog or Microsoft Sentinel in OCSF and CEF.
sample audit log
14:20:52 approval.requested → finance-review 15:01:08 approval.granted by=finance.reviewer 15:01:08 tool.executed database.insert 15:01:09 audit.sealed sha256:9c41…e2 ✓ 15:01:09 siem.exported splunk-hec · ocsf
06 · Developers
Publish an agent as an API in one call.
Agents expose REST endpoints — or become MCP servers. Bring any tool in with an OpenAPI spec; no glue code.
# Every agent publishes as an API endpoint
curl https://api.zilionix.com/v1/agents/agt_x7k2m9p4/run \
-H "Authorization: Bearer zak_live_..." \
-d '{"input": "Summarize open P1 tickets and draft the standup note"}'07 · Pricing
Pricing you can read.
Published monthly pricing, with an access path for every plan.