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AI agents that operate, under control

Your existing agents operate Millentic through MCP, under the same access controls as your team. Every query, change and action is scoped, approved where it matters and logged.

Bring your own agents

Connect any MCP-compatible agent, or deploy agents built in Millentic.

Reconcileractive
Anomaly Detectoractive
Onboarding Botactive
Report Writeridle

Scoped access

Agents only see the data and actions they are allowed to. Same permissions as your team.

gl_entriesread
invoicesread/write
contractsread
payrolldenied

Approval gates

Human sign-off for high-value actions, with thresholds per workflow.

Threshold rule

Amount > $50,000

Require human sign-off

Configurable per workflow

Full observability

Every prompt, tool call and output, so you know what each agent did and why.

promptCheck GL for anomalies
toolquery_table('gl_entries')
result3 flagged · $12,400
actioncreate_alert(severity=high)

Drift and risk alerts

Get notified when an agent's behaviour diverges from its baseline.

Output variance +42%5m ago
Unusual GL pattern1h ago
Latency spike: 3.2s2h ago
Duplicate invoice3h ago

Performance metrics

Accuracy, latency and cost per agent and workflow, over time.

Accuracy

98.2%

↑

Avg latency

1.4s

↓

Cost / run

$0.03

↓

Tracked across every workflow

From prompt to production

Ask in plain language. Millentic builds it, governed.

An agent connected through MCP turns a request into a real automation in your workspace, created with your permissions and visible to your team.

> Show overdue invoices by customer, every Monday.

Millentic MCP · create_automation
  model:    Invoices
  filter:   status = Overdue
  group by: customer
  schedule: Mondays 08:00

✓ Created with your access · logged

Automate cheaper. Close faster. Control better.

Finance teams use Millentic to replace months of IT projects with agentic workflows that go live in days.