AI agents + runtime
Describe the job on a visual canvas and run it in production with governed, traceable execution on your infrastructure.
Self-hosted on your infrastructure, so security can say yes in weeks. Start from a use case your team already owns.

Deal intake and first-pass review
Collect new deal documents, extract key facts, and send a short first-pass summary to the investment team.
Owned by Deal Operations

Investor and portfolio compliance checks
Collect KYC files, check required fields, and keep an audit trail for follow-up.
Owned by Compliance

Portfolio reporting pack preparation
Pull updates from source systems, draft report sections, and prepare packs for review.
Owned by Investor Relations

Expert call transcript review
Check call transcripts for MNPI, regulatory issues, and violence-related flags, then create a report for each call.
Owned by Compliance

Trade pre-check agent for funds
Validate orders against mandate, restrictions, and portfolio limits before execution, with a clear pass or exception pack for compliance.
Owned by Trading / Compliance

Loan application document review
Collect application documents, extract financial details, and prepare a credit memo draft for review.
Owned by Credit Operations

Fraud alert review queue
Review flagged transactions, add customer context, and route the cases that need human decisioning.
Owned by Fraud Operations

Regulatory report preparation
Collect data from internal systems, validate required fields, and prepare recurring reports for sign-off.
Owned by Regulatory Reporting

Compliance pre-trade check
Screen client and discretionary orders against suitability, restrictions, and market-abuse rules before release to market, for banks and wealth managers.
Owned by Wealth Compliance

Claims document review
Extract details from claim forms and attachments, then route simple cases and exceptions.
Owned by Claims

Policy renewal preparation
Collect renewal information, update risk inputs, and prepare the renewal pack for review.
Owned by Underwriting Operations

Insurance reporting preparation
Gather data from internal systems, validate required fields, and prepare recurring regulatory filings.
Owned by Regulatory Reporting
Agents, workflows, LLMs, document knowledge, connectors, and audit logging in one self-hosted product. Nothing to assemble separately.
Describe the job on a visual canvas and run it in production with governed, traceable execution on your infrastructure.
Run open-weight or closed-weight models on your infrastructure. You choose the model; data stays with you.
Branching, retries, and human-in-the-loop steps for the whole process, not just one task.
Agents answer from your own documents and can cite the source.
APIs for agents, workflows, and platform operations so Lunnoa fits the stack you already run.
SSO and role-based access so the right people can run agents and workflows.
Every agent run and workflow step is logged, so you can answer why it did that.
Practical notes on self-hosted deployment, workflow design, and keeping agents accountable in production.

What Is an AI Governance Platform? A 2026 Guide
Only 5% of banks running AI have a scaled, governed program, per Grant Thornton. Learn what an AI governance platform is and how to evaluate one for your firm.

Sasa Kelebuda

Shadow AI is a governance problem, not a ban list
Shadow AI use jumped from 15% to 45% of employees in a year, outpacing IT approval. See how Lunnoa lets IT govern agent building instead of banning it.

Sasa Kelebuda

Consistent AI investment proposals start with the data layer
AI can draft investment proposals in minutes, but only stays consistent across advisors and clients when the underlying client and portfolio data is unified first. Here is the architecture that makes it work.

Filip Ostojić
Self-hosted means nothing is metered through a vendor. One flat licence covers users, workflows, and agent runs, so the more you automate, the better the unit economics. No per-execution bill when volume takes off.
No per-seat pricing: same licence at 5 or 5,000 users.
No caps or tiers: build without workflow paywalls.
No metered executions: no surprise usage bills.
Lunnoa ships as a complete platform: no integrations to assemble, no mandatory external dependencies to manage. Build, automate, observe, and govern from day one.
Solution Designer
Describe the process in business language. Lunnoa interviews your team, drafts a solution plan, and hands work to specialist builders.
Visual Workflow Builder
Drag-and-drop canvas for designing AI agents and multi-step automations. No engineering involvement required.
AI Agent Designer
Design intelligent agents that reason, decide, and act across your internal systems, using self-hosted or cloud LLMs.
Pre-built Automation Library
Over 100 ready-to-deploy workflow and agent templates across IT, Finance, HR, Operations, and more.
Low-code Extension Points
Developers can extend any workflow with custom code blocks, API calls, and script nodes without rebuilding from scratch.
Multi-step Orchestration
Build conditional branches, parallel paths, loops, and error-handling logic into a single visual workflow.
On-premises LLM integration
Connect to self-hosted large language models via onprem.ai. All AI inference runs inside your own infrastructure, with no data exposure.
Built-in Vector Database
Native RAG infrastructure included. Ingest, chunk, embed, and query documents with no external vector database required.
Document Parsing & Intelligence
Extract structured data from PDFs, contracts, emails, and reports, feeding directly into your workflows and agents.
Enterprise Connector Library
Pre-built integrations with SAP, Salesforce, SharePoint, Slack, Microsoft 365, and over 200 enterprise systems and APIs.
Multi-provider AI Routing
Route to OpenAI, Anthropic, Azure OpenAI, or on-premises models per workflow, with superadmin control over which teams can access which models.
MCP-Ready Agent Tooling
Agents connect to any MCP-compatible server (databases, APIs, SaaS tools, and internal services) using the open Model Context Protocol standard.
Agent-to-Agent (A2A) Protocol
Register external AI agents over the open Agent2Agent protocol and attach them to your agents as callable tools, with workspace-level access control.
Full Execution Observability
Every agent run and workflow step is logged, timestamped, and traceable, with inputs, outputs, and duration for each node.
Grafana & Datadog Integration
Native connectors to production-grade monitoring platforms: export metrics, build dashboards, and set alerts on workflow performance.
Immutable Audit Trails
Full chain-of-custody records for every automation, covering who triggered it, what data was processed, and what actions were taken. Designed for GDPR accountability. SOC 2 Type II targeted for Q1 2027.
ROI & Usage Analytics
Track hours saved, cost reductions, and automation adoption per workflow, team, and workspace. Demonstrate ROI to leadership with concrete data.
SSO & SCIM
Enterprise single sign-on and automated user provisioning. Integrates with Okta, Azure AD, Google Workspace, and any SCIM-compatible identity provider.
Advanced RBAC
Granular role-based access control per workspace, team, and workflow. Define who can build, run, view, or manage any automation.
Multi-workspace Management
Deploy structured workspaces per department, client, or project, each with its own team, permissions, connections, and AI model policies.
Superadmin Control Layer
Platform-wide configuration covering model routing policies, connection policies, environment variables, and audit settings. No code required.
Every integration becomes an action, usable by any AI agent or workflow on the platform. No connector is just a data pipe.
MCP-native actions
Where the tool supports it, agents connect directly via the Model Context Protocol. No custom code required and tool access is immediate.
Custom-built API apps
When MCP isn't available, we build a dedicated API app for that system, then expose every capability as a reusable agent action.
OAuth & secure auth
Every connection uses OAuth 2.0 or API key authentication where available, credentials are encrypted at rest and never exposed to agents or workflows.
Actions in every workflow
Once connected, any action from any system is available in the visual builder: drag, drop, and orchestrate across your entire stack.
Do not see your system listed? We build a dedicated API app for any tool in your stack, making every capability available as an agent action.
Lunnoa is built for teams that require performance, security, and full governance at enterprise scale.
Pre-built connectors to SAP, Salesforce, Microsoft 365, and more.
Your data never leaves your infrastructure. No mandatory external dependencies.
Not the quarters typical of RPA programmes, a solution engineer builds the first one with your team.
FAQ
Straightforward answers about self-hosting, model flexibility, and compliance. For anything else, our team is one message away.
Yes. The workflow engine, vector database, document parsing, and LLM routing all run inside your own infrastructure, whether that is AWS, GCP, Azure, or on-premises. Your data never leaves your environment.
HYOK keeps your API keys for external LLM providers such as OpenAI or Anthropic entirely in infrastructure you control. Lunnoa routes requests without retaining technical access to your keys; token usage is billed directly by the provider under your contracts, not by Lunnoa.
Lunnoa routes across multiple providers, including OpenAI, Anthropic, and on-premises models, so you can mix cloud and self-hosted models under your own governance rather than being locked into a single vendor.
n8n and similar workflow tools are built cloud-first with self-hosting as an add-on; legacy RPA platforms like UiPath were built before agentic AI existed. Lunnoa is AI-native and self-hosted by default, with no per-execution metering and no vendor cloud required for any component.
Yes. Lunnoa was built specifically for private equity, banking, and insurance teams that need FINMA-grade compliance and full data sovereignty, not general-purpose automation with compliance added on afterward.
Your infrastructure. Your data.
Deploy Lunnoa inside your own infrastructure. Every workflow, every agent run, and every data point stays in your environment, with full governance from day one.
Self-hosted · Deployed within days · Flat licence, unlimited usage · Full IT governance
Your Infrastructure
Governance layer