We deployed 3 agents in a week. No ML team involved. Invoice processing accuracy hit 99.5% on day one. Our data team focuses on strategy now, not plumbing.
Thomas Leclerc
Chief Data Officer, Publicis Groupe
8 pre-built agents for finance and procurement. Zero ML training data prep. Zero model fine-tuning. Deploy to production in days. Enterprise governance (audit logs, RBAC, data lineage) included. Agents that work out of the box.











Results
AP, AR, sourcing, compliance, contracts — all out of the box.
On invoice processing, supplier onboarding, and approvals.
Pre-trained on millions of finance & procurement documents.
From contract signature to live agents — not 9-month ML projects.
Capabilities
Invoice processing, supplier onboarding, approvals, collections, compliance, contracts, spend analysis, and risk — ready to deploy.
Agents are pre-trained on millions of finance and procurement documents. No data labeling, no fine-tuning, no ML team needed.
Full audit logs, RBAC, data lineage, and explainability. Every agent decision is traceable and auditable.
Model Context Protocol connections let agents access Slack, email, PDFs, ERP data — any context they need to reason and act.
Business users build and customize agent behaviors through a visual skill builder. No engineering tickets required.
Agents deploy to production with monitoring, alerting, and rollback. No DevOps overhead. No infrastructure to manage.
How it works
Pick from 8 pre-built agents in the marketplace. One-click activation. No data labeling, no model fine-tuning, no ML team required.
Connect Slack, email, ERP, PDFs, custom data sources via Model Context Protocol. Agents reason over your real environment, not a sandbox.
Full audit logs, RBAC, data lineage, and explainability per agent action. CyberVadis-assessed and ISO 27001:2022 certified from day one. Risk committee approves once.
The difference
Customer stories
We deployed 3 agents in a week. No ML team involved. Invoice processing accuracy hit 99.5% on day one. Our data team focuses on strategy now, not plumbing.
Thomas Leclerc
Chief Data Officer, Publicis Groupe
Audit logs and explainability were our blockers. Flowie checked both. Our risk committee approved deployment in one meeting.
Sarah Klein
Head of AI Governance, Financial Services
Agents-as-skills, not black boxes. We extended invoice classification to 14 categories without writing a model.
David Liu
ML Engineering Lead, SaaS Scale-up
FAQ
8 pre-built agents, MCP-native architecture, full audit trails. Live in days, not quarters.