Custom AI agentsFor operations at scale

Custom AI agents,
under your control.

We design, deploy and run agents that execute complete processes inside your systems, with scoped permissions, an audit trail for every action and human approval wherever you set it.

ACCOUNTS PAYABLERECONCILIATIONCREDITAccounts payableBank reconciliationCredit analysisYour next process…YOUR PROCESSESBUILT TO ORDERAGENTS IN PRODUCTIONACCOUNTS PAYABLERECONCILIATIONCREDITAccounts payableBank reconciliationCredit analysisYour next process…YOUR PROCESSESBUILT TO ORDERAGENTS IN PRODUCTION
FINANCE · PROCUREMENT · RISK · OPERATIONSA custom agent for every process.ILLUSTRATIVE EXAMPLES
COMPANIES ALREADY WORKING WITH US
  • Arcor
  • La Virginia
  • Coca-Cola
  • FyO
  • Nuevo Banco de Santa Fe
  • Federada Seguros
  • Universidad Austral
  • Grupo Roibas
From need to agent

Tell us the process.
We design the agent and its controls.

Every agent is designed with your team: what it does, which permissions it has in each system, which controls it applies and where a person decides. Then we take it to production and run it.

01The need

Accounts Payable teamby email · 9:02 AM

We process over 12,000 invoices a month across three teams and the close keeps slipping. Can we automate it without touching SAP?

LFT

It can, with no system migration. We design the agent with scoped permissions and human approval at every threshold you set.

02The agent spec

Accounts payable agent
What it does
Reads every invoice, checks it against the purchase order and the receipt, and posts it to SAP.
Systems and permissions
Email · readSAP FI · postPayments · no access
Controls
No purchase order or an amount mismatch: it doesn't post, it routes to review.
Human approval
Invoices over $500K need the AP manager's approval.

03In production

  1. 9:12 INV-20418 · $48,213 Posted to SAP
  2. 9:14 INV-7781 · $9,640 Posted to SAP
  3. 9:15 INV-00441 · $740K Awaiting manager approval

Illustrative examples, based on agents we have already built.

Governance

Every agent works
by your rules.

An agent in a critical process needs the same controls as any other system in your company. So each one starts with permissions, logs and approvals defined with your IT, risk and audit teams.

  • Scoped permissions

    It works only with the permissions your IT team grants in each system. Nothing outside its scope.

  • Audit trail

    Every action is logged: what it read, what it decided, which rule it applied and who approved.

  • Human approval

    You set the thresholds: what it resolves alone and what needs a person's sign-off.

  • Monitoring

    Accuracy, exceptions and cycle times measured every day, with alerts.

  • Protected data

    Data encrypted end to end. Deployment in your cloud or on-premise.

  • Change control

    Every adjustment is tested before it reaches production.

accounts-payable-agent · governance

Permissions

  • Vendor inbox Read
  • SAP FI · invoices Post
  • SAP · payments No access
  • Online banking No access

Audit log

  1. 09:12:04 Read INV-00441vendor inbox ok
  2. 09:12:06 Checked against PO 4471rule: total = PO ok
  3. 09:12:07 $740K is over the $500K thresholdapproval required pending
  4. 09:31:40 Approved by the AP managersign-off recorded approved
  5. 09:31:41 Posted the invoice to SAP FIpermission: post ok

Illustrative view with sample data

Agents in production

Agents already running
critical processes.

Each one was designed for a client's operation and runs in production today, with its controls. If your process is different, we design a new one.

One monthly fee per agent, with operations, monitoring and continuous improvement included.

Integrations

On top of your core systems.
No migrations.

Agents work inside your ERP, CRM, banks and channels, with the credentials and permissions your IT team defines. Nothing to replace.

  • 01

    Integrates with ERPs such as SAP and with your spreadsheets

  • 02

    Runs with the credentials and permissions IT defines

  • 03

    Deployment in your cloud or on-premise

Business systems already integratedUsing another one? We connect it through its API

  • SAP
  • Odoo
  • Tango Delta
  • Softland ERP
  • Bejerman (Thomson Reuters)
  • Calipso
  • Finnegans
  • Flexxus
  • Colppy
  • Xubio
How we work

From the audit
to governed operations.

We start with the process that has the most impact, design the agent and its controls with your team, and take it to production with monitoring and human approval.

  1. discovery · 5 processes impact effort client onboarding reports invoice entry ERP migration reconciliation start here Prioritized map
    01

    Opportunity audit

    We map your processes and you leave with a plan prioritized by impact, effort and risk.

    Learn more
  2. before email ERP after email AI agent review ERP Redesigned flow
    02

    Architecture and redesign

    We redesign the flow and define permissions, controls and approval points before automating.

    Learn more
  3. every invoice, in production invoice AI agent measures its confidence ≥ 0.90 · 125 today ERP < 0.90 · 3 today review monitoring and alerts In production
    03

    Production deployment

    We take the agent to production on your systems, with monitoring, guardrails and human review.

    Learn more
  4. what the agent resolves on its own automatic review 72% week 1 85% week 4 93% week 8 + rule for credit memos + 2 new vendors Weekly cycle
    04

    Continuous optimization

    We measure accuracy and exceptions, tune rules and widen the scope every cycle.

    Learn more
Beyond agents

Data that anticipates.
Teams that automate.

churn risk today history forecast accounts at risk Next 90 days

Predictive models

Models trained on your data to anticipate churn, demand or fraud, built into your pipelines with their metrics in view.

Explore the service
before · Lucía, Finance statement ledger after in production · phase 3 statement her automation reviews ledger Same for every participant Lucía, Finance · collections reconciliation before after · in production statement ledger statement her automation reviews ledger Same for every participant

Training that delivers

Every person on your team ends with one or two processes automated, in production and documented.

See the training
A different approach

Automation with control.
Not a black box.

STANDARD SOFTWARECUSTOM AGENT
Time to productionMonths-long projects with migrationsAn MVP in production in under 30 days, on your systems
ScopeWhatever the software ships withThe complete process, designed for your operation
ControlDecisions that are hard to auditEvery action logged, with its rule and its approval
RiskErrors found too lateHuman approval thresholds and alerts
DataInformation on third-party platformsEncrypted data, in your cloud or on-premise
Clients

Companies that
already trust us.

45 companies

  • Arcor
  • La Virginia
  • Coca-Cola
  • Río Helados
  • FyO
  • SV Matesur
  • Cooperativa Los Molinos
  • SRA
  • Agroeduca
  • Marimbo
  • AFA
  • Supermercado La Gallega
  • Supermercados DAR
  • La Reina
  • Multishop
  • Makor
  • Autopartes Sol
  • Hemisphere Brands
  • Norwan Group
  • Wander
  • Speedway
  • Fexa
  • Strada
  • Ortiz Fischer
  • Exintrader
  • Neostar
  • Life
  • Crucijuegos
  • Scheimberg Vidrios
  • Ivanar
  • Rogiro Aceros
  • Nuevo Banco de Santa Fe
  • Rosental Inversiones
  • Grupo Oroño
  • Droguería 20 de Junio
  • Federada Seguros
  • Universidad Austral
  • ISRI
  • Dazzler
  • Grupo Roibas
  • Lisicki Litvin & Abelovich
  • Salvador Di Stefano
  • Guerín Seguridad
  • Agilnet
  • Futuro
FAQ

Good questions.
Straight answers.

Book a call
How do you manage adoption on the teams that run the process today?

We back every rollout with a change plan: training, hands-on support and ongoing assistance. The agent takes on the repetitive work and your team keeps the decisions, the exceptions and the approvals.

How do you keep an agent from making critical mistakes?

Before going live, every agent is validated against your historical data. In production it runs with guardrails, confidence thresholds and human approval at critical points, and its accuracy is monitored every day.

Our process is very manual today. Isn't it too complex to move it to an agent?

It doesn't have to be. We start with the 20% of processes that drive 80% of the impact and move forward in incremental releases, on your current systems, so the change stays under control.

What does it cost, and how is the return measured?

Each agent has a monthly fee that covers operations, monitoring and continuous improvement. We work with a fixed budget and project the return before we start, so it's measured from the first month.

How do you protect the confidentiality of our data and our customers' data?

We work with end-to-end encrypted infrastructure, confidentiality agreements and information security best practices, so your data never leaves the agreed perimeter. If your company has special requirements, we deploy in your cloud or on-premise.

Which systems and data can an agent access?

Only the ones your IT team enables, with the permissions it sets in each system: for example, read access to the vendor inbox and posting rights in the ERP, with no access to payments. Nothing outside that scope. Every action is logged (what it read, what it decided, which rule it applied and who approved), so your IT and internal audit teams can review everything it did.

How do approvals work? What does the agent resolve on its own?

You set the thresholds. The agent resolves on its own what falls within the agreed rules and routes to a person whatever exceeds them: high amounts, exceptions, specific customers or low-confidence cases. Every approval is logged together with the action. Oversight starts high, and thresholds widen only when production metrics back it up.

Our operation has very specific rules. Can an agent adapt?

Yes. Every agent is custom-designed, not built from a template: it's configured around your rules, your systems and the particulars of your industry.

Which process goes
to production first?

In a 30-minute session with a specialist we review your operation and propose your first agent: scope, controls and expected impact.