Sovereign. Intelligent. Predictable.

Protected Intelligence

  • The intelligence layer is built in house on our own framework, agent harness, and fine-tuned O2C models using Sidetrade compute.
  • Consumption is managed by Sidetrade to offer predictable AI economics so budgets hold even as frontier model pricing moves.
  • SAFE is proven internally first, and the skills our teams validate are promoted into the product.

Intelligence in Production

  • The Sidetrade O2C Data Lake holds close to $10 trillion in B2B transactions across nearly 45 million buying companies, built over more than a decade.
  • Sidetrade uses a hybrid  of domain models, machine learning, and business rules, matched to the task.
  • Outcomes are measured on finance metrics such as DSO, working capital, collection effectiveness, and dispute resolution time.

Governed, Responsible AI

  • Agents are explainable by design and surface their reasoning, confidence, and sources.
  • Guardrails, thresholds, and approval points configured per task and per segment so authority is set in advance.
  • Private cloud and models keep customer data inside the organization’s boundary, so data stays private.
Aimie Agents Aimie IQ Customer Agents Agent Builder Studio Publish to the Agent Registry · Configure Workflows SIDETRADE AGENTIC FRAMEWORK FOR ENTERPRISE AGENT CONNECT AGENT HARNESS Agent Registry Configuration model Event Router Route events to agents HTTP Server Aimie IQ chat interface Skills Registry O2C skills Context assembly O2C data Agent capabilities Skills & sub-agents Agent reasoning On-premise LLM Tool selection O2C actions Policy management Deterministic escalation Audit & memory Improve the next run BASE INFRASTRUCTURE & FRAMEWORKS PYDANTIC AI · TEMPORAL Governed Agentic AI for Order-to-Cash

SAFE, Built For Enterprise Agents

From connection and context to policy, audit, and memory, SAFE is built with two base infrastructures.

Agent Connect

Everything around the agent

  • Agent Registry – the configuration model
  • Event Router  – routes events to agents
  • HTTP Server – the Aimie IQ chat interface
  • Skills Registry – the repository of O2C skills

Agent Harness

The agent at runtime

  • Context Assembly – the O2C data
  • Agent Capabilities – the skills and sub-agents
  • Agent Reasoning – the on-premise LLMs
  • Tool Selection – the O2C actions
  • Policy Management – the deterministic escalation
  • Audit and Memory – improves the next run

One Governed Agent Run

Every action follows the same five steps whether the trigger is a payment, an invoice, or a person asking. Steps 3 to 5 repeat until the work is finished. Every pass goes through the same check.

Event

Any trigger, from your ERP, an inbox, a schedule, or a person, arrives as one standard event and is routed to the agents that handle it.

Context

The agent is given live account data and the playbook for that customer segment before it starts reasoning.

Reasoning

A private, O2C fine-tuned model selects the next action and the tool to carry it out.

Policy gate

The action is evaluated against your rules before it executes, and resolves to allow, deny, or escalate.

Action and audit

The action runs, and the decision, the rule that applied, and the values read are recorded.

Frequently Asked Questions

What is the SAFE framework?

SAFE, the Sidetrade Agent Framework for Enterprise, is the runtime that governs how Sidetrade AI agents act on Order-to-Cash processes. It gives each agent the account and playbook data it needs, checks every action against your rules before it runs, escalates to a person where your policy requires it, and records the decision. Every Aimie agent, every agent your team builds, and every request through Aimie IQ runs on SAFE.

How do I know I can trust what the O2C agent does?

You can trust what the O2C agent does because the agent shows its work and the system checks it. Every action is evaluated against your rules before it runs, and each decision is recorded with the rule that applied and the values it read. Agents surface their reasoning, confidence, and sources, and escalate to a person where your policy requires one.

What does it mean for an AI agent to be governed?

A governed agent has its permitted actions defined in configuration and checked in code, rather than described to the model in its instructions. Every action passes a policy gate before it executes and resolves to one of three outcomes: allow, deny, or escalate to a person.

Do AI agents replace credit and collections teams?

AI agents do not replace credit and collections teams. Agents take on the repeating work, and people keep the decisions that carry judgment or risk. A reminder or a payment match can run unattended. A credit limit increase, a write-off, or a settlement offer routes to a named approver. You set that line, per task and per segment.

What happens when an AI agent gets something wrong?

Most errors are prevented before they reach your customer, because actions are checked against your rules before they execute. When something does go wrong, the audit record shows what the agent did, which rule applied, and the values it read. Agents can be rolled back, and a kill switch stops a running agent immediately.

Where does our data sit, and which models process it?

Sidetrade runs agentic AI on its own compute in a private cloud, using private models fine-tuned for Order-to-Cash. Customer data stays inside that boundary. Predictions are grounded in the Sidetrade O2C Data Lake, which holds more than one billion payment experiences.

How does SAFE support EU AI Act and audit requirements?

Compliance evidence is produced by the runtime as agents work, rather than assembled after the fact. Every policy evaluation, tool call, and escalation writes a structurd record with the timestamp, the agent, the action, the outcome, and the rule that applied. Sidetrade operates under ISO 27001 and SOC 1 and SOC 2 Type 2.

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