Enterprise AI deployment

AI Transformation for Manufacturing

Custom AI agents that do the actual work in your business. Built on your systems, shaped by your organization's judgment.

01AI Absent

You bought AI. Nothing does the work.

The data sits in five places and the judgment sits in people's heads. Tools were bought and pilots were run, and not one of them was allowed near a system of record.

  1. You bought the tools.
  2. You hired the engineers.
  3. You paid for frontier models.
  4. Your best people are stuck on it.
  5. Nobody has seen the value.

The problem was never the model. Nothing was wired to a system of record, and nothing had permission to act.

02Ground truth

Your systems, reconciled into one account of what is true.

We anchor the Brain inside your environment and point it at SAP, NetSuite or Dynamics, and at the mailboxes and spreadsheets where the exceptions actually live. It reads them live, with the same permissions a controller has, and reconciles them into one account. An agent built on systems that disagree is a confident wrong answer, so this comes first, and it is yours either way.

What the Brain includes →

03Agents

Agents do the work. A person releases it.

Start from one of our six proven agents, or build one custom around a workflow only your business has. Either way it is built around your rules and runs on that ground truth, inside SAP, NetSuite or Dynamics, so it reads the ledger your controller reads. Where the workflow needs something your ERP was never built to do, the custom agent covers that too. One workflow, real transactions, live in under 90 days.

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.

See the six agents →

04AI Native

Your people stop processing the work and start directing it.

Agents carry the volume end to end. What reaches your team is the exceptions, the relationships and the calls that need judgment, and your advantage is applied to every transaction instead of the ones someone had time for.

  • The queue is exceptions, not everything
  • Every action is logged, so an audit is a query rather than a project
  • Your team adds the next agent on Anchor, without starting over

How the engagement runs →

Your business doesn't come off a shelf. Neither should its AI.

Run your operation the way you know works best, without bending it to the limits of somebody else's product. Agents built to your rules carry it out at a pace no team can match, and a person still releases what matters.

01

Owned by you

The agents, Anchor underneath them and the logic inside them are yours. No per-seat rent on your own operation, and nothing stops working when we step back.

02

Built in your environment

Your cloud, your network boundary, your identity and your audit trail. Your data never has to leave to be useful, and nothing calls home for permission to run.

03

Built with your IT team

We work inside your technology team, to your security standards and through your change process. Your IT team stays in control of what runs, and ends up able to extend it.

Forward-deployed engineers

Our AI Velocity POD, two forward-deployed engineers, embeds with your business and IT teams from the first week: in your standups, on your tickets, building in your stack. They run the work end to end and leave your team able to build the next agent.

How the AI Velocity POD works →

Agents in the work

Two of them, and what they actually moved.

Not a catalog. Two agents doing ordinary finance work end to end, so you can judge whether the same thing would run on your own numbers.

30%

Improvement in AR collection times

01SterlingReceivables

Cash comes in sooner, because the right accounts get chased in the right order every morning rather than whenever someone finds the time.

  • Reads open receivables straight from SAP, NetSuite or Dynamics, against live tables rather than an export
  • Scores every account on payment history, disputes, days beyond terms and balance
  • Drafts the chase in order of recovery odds, with disputed invoices suppressed automatically
  • Tracks every promise to pay against its date, and reopens the account when it passes
How Sterling works →

$25M+

Chargebacks recouped from disputes

02ClarkPayables

You stop paying twice, and you stop paying for what was never agreed. Chargebacks run at nine to ten percent of receivables in most brands, and that is margin.

  • Extracts vendor invoices from any format and posts the payable into the ERP
  • Three-way match against the purchase order and the goods receipt, line by line
  • Duplicate detection before release, not after payment
  • Checks charges against the contract, so anything outside the agreed terms is flagged rather than absorbed
How Clark works →

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.

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.

See all six agents →

Where agents do the work: use cases across finance and operations →

Systems of record

SAP first, because that's where the work is.

Our deepest work is against SAP HANA, reading the ledger live, transforming it, and writing back through the same controls your team already uses. Two of our recent deployments started there. Everything else on this list connects too, and the agents don't care which of them holds the data.

SAP HANASAP S/4HANANetSuiteDynamics 365SalesforceHubSpotSnowflakeDatabricksAzureAWSSharePointOneDriveOutlookGmailSlackTeamsPower BICoupaConcurStripeXeroJiraServiceNowEDI

What it takes

Bring us the workflow that is costing you.

Transformation does not have to start big. It starts with one workflow, the one you already know is expensive, and a straight answer on whether an agent is genuinely the right thing to point at it.

  1. Weeks 1 to 2

    Assess

    We map the workflow and audit the environment it would run in. Fixed scope, fixed fee, and the output is yours whether or not you go further.

  2. Weeks 3 to 5

    Anchor

    We set up the Brain inside your environment: model gateway, retrieval over your systems of record, evaluation, audit and identity. You own it either way.

  3. Under 90 days

    First agent live

    One agent, one workflow, real transactions, and a person releasing every consequential action.

How this is bought

Nothing large is committed up front. Assess is fixed and small on purpose, and you decide whether to continue on what it finds. If the sequencing is wrong and you should fix something else first, we will say so.

Operators, not an agency.

We ran the technology organisation through exactly this kind of transformation, with a P&L attached and a board asking about the number. Everything below came out of operating, not advising.

$2.5B+

Total GMV scaled across the platform and products we built

120+

Real-world FTEs of capacity unlocked, and counting

25 → 1

Days to close the books, with a reconciliation agent on it

30%

Improvement in AR collection times

More on how we work →

In short

What is an AI agent development company for enterprise finance and operations?

Ferrata Labs is an AI agent development company that builds agents which do the actual finance and operations work inside SAP, NetSuite or Dynamics. People approve consequential actions at first. Once accuracy is proven, the agent runs on its own and people handle the exceptions. The first agent is live in under 90 days.

What it builds

Agents that do the work end to end, not summaries, copilots or pilots that never touch a system of record.

Where it works

Inside SAP, NetSuite or Dynamics on live transactions: AP, AR, reconciliations and close first, then Ops Agents for inventory and operations.

How control works

A person releases what matters until the agent has earned wider autonomy. Your approval rules are encoded, not replaced.

What it is measured on

A number you already care about, agreed with a baseline before anything is built.

How the engagement runs

  1. 01Assess2 weeks
  2. 02Anchor3 weeks
  3. 03First agentUnder 90 days
  4. 04AI nativeOngoing
How we deploy agents →
  • $2.5B+ total GMV scaled
  • 120+ FTEs of capacity unlocked
  • 25 to 1 days to close
  • 30% faster AR collection
  • $25M+ chargebacks recouped

Frequently asked questions

What does Ferrata Labs do?
Ferrata Labs builds and runs enterprise AI agents that perform operational work end to end rather than summarizing it. Agents read and write inside SAP, NetSuite or Dynamics, stop at an approval gate on consequential actions, and leave a log a controller can audit. You own the platform in your environment.
Who is Ferrata Labs for?
Ferrata works best with mid-market companies on SAP, NetSuite or Dynamics, and we take on enterprise work wherever we can add real value. Our buyers are CFOs, Controllers, VP Finance and CIO or VP IT who own the queues that never shrink: AP, AR, reconciliations, close, order intake, procurement and inventory. If your best people spend their days re-keying between systems, we should talk.
How long until the first AI agent is live?
The first agent is live in under 90 days from the start of the engagement: Assess for 2 weeks, Anchor for 3 weeks, setting up the Brain in your environment, then one agent on one workflow against real transactions. Every consequential action starts behind an approval gate.
Which ERPs do your agents work with?
Agents are built to work inside SAP, NetSuite and Microsoft Dynamics 365, reading the same ledgers and documents your controllers already use. Two recent deployments started with SAP. We also connect the mailboxes, portals and files where exceptions actually arrive.
Do we own the platform when the engagement ends?
Yes. The platform is stood up in your environment and belongs to you. Our AI Velocity POD, two forward-deployed engineers, trains your people and IT team as they build, and leaves runbooks and evaluation harnesses documented, so your team adds the next agent without starting over.
Do you train models on our data?
Yes, for you and only for you. Where it makes a workflow better, we fine-tune open-weight models on your data so the agent learns your vendors, your codes and your exceptions, and its output fits how your business actually works. That training happens inside your environment, behind your firewall, and the model it produces is yours. Your data never leaves your environment, never reaches a frontier AI lab, and is never used for anyone else's work. You get the intelligence, and your information stays private.

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