Industries

AI agents by industry.

Ferrata Labs builds AI agents for finance and operations in six industries: financial services, food and beverage, construction, manufacturing, venture and private capital, and logistics. The same products, on the same Brain, apply across all of them. What changes is which workflow goes first, the systems it connects to and the rules it follows.

Illustrative · connect once; products and your own agents are added on top

Which agents apply where.

Rows are industries, columns are the products, each with its own agents. 1 marks where a first engagement usually starts. Your assessment decides the real order, not this table.

Whatever the vertical, the method is the same: find the recurring work an agent can take →

Every agent stops at an approval gate until it has earned its way out of one. Nothing releases cash, commits spend or touches a customer without a person saying so.

What changes by industry, and what doesn't.

Changes by industry

The work in front of the agent. That is why each vertical starts somewhere different.

IndustryWhere it usually hurts firstSystems
Financial servicesDaily reconciliation across custodians, sub-ledgers and the GLSAP HANA, Dynamics 365, Custodian feeds, Sub-ledgers
Food & beverageThousands of low-value supplier invoices a monthNetSuite, SAP HANA, Supplier portals, Email
ConstructionTender packages assembled and chased across dozens of suppliersSAP HANA, Dynamics 365, Email, SMS
ManufacturingCustomer POs re-keyed by hand into sales ordersSAP HANA, Dynamics 365, NetSuite, Customer portals
Venture & private capitalCapital calls and distributions assembled per LP by handNetSuite, Fund administration platforms, Email
Logistics & supply chainCarrier invoices arriving faster than anyone can audit themSAP HANA, NetSuite, Carrier portals, EDI

Stays the same everywhere

  1. 01

    The engagement

    Four stages in every vertical: assess, anchor your data, put one agent live in under 12 weeks, then make your team AI native.

    How it works →
  2. 02

    The approval gate

    A person releases every consequential action until the agent has earned its way out of the gate, on evidence.

    Human in the loop →
  3. 03

    Ownership

    The platform runs in your environment, on your data, behind your firewall. It is yours, not rented.

    The platform →
  4. 04

    The end state

    Your own team builds the next agent. The engagement is designed to end.

    AI transformation →

The platform

Connect your systems. Build the Brain. Run agents on top.

The Ferrata Labs Ontology connects your ERP and every system around it into one model of your business, its records and how they relate: your company's Brain. Our products and their agents run on it from the first day.

It is the idea Palantir calls an ontology: a company's objects and the links between them, for applications and agents to act on.

01Connect and start
Connect your ERP and other systems to the platform and start with a product. The least friction, with nothing to install.
02Behind your firewall
For enterprises, Anchor sets up the Brain inside your own cloud, your data center or an air-gapped network. Your data never leaves it.

Start with a product, then extend it: each process of your own becomes a new agent on the same Brain, built with your team until your team builds the next one.

Illustrative · connections are set up on each company's own systems

Your agents are built around your organization.

The way you price, route, approve and escalate is years of accumulated judgment, and it's a real advantage. It belongs to you and it stays with you, we're not asking you to hand over your playbook or fit yourself into someone else's template. We start from how your business already works, encode that logic into agents built for your environment, and leave you with an operation that runs faster with exactly the things that make you good at it still intact.

Bring us one workflow.

Thirty minutes, no deck. Pick the process that costs you most in people, errors or delay, and we'll pressure-test whether an agent is genuinely the right answer for it.

  • An honest read on whether that workflow is a good agent candidate
  • What the first deployment would involve, and roughly what it costs
  • An honest answer if the sequencing is wrong and you should fix something else first
Book a discovery call