How Reindeer Works

Follow a single case from intake to resolution and see how our agents, much like a new hire, expand their knowledge over time.

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Step 01

A case arrives

An agent responds to triggers across your systems: an email with attachments, a record change in your ERP, a shipment update in your TMS, a file landing in SharePoint.

Unlike a human who checks in frequently, the agent knows the moment something lands and has the ability to respond if needed in real time while still fresh in the stakeholders’ mind, even when the data lives across multiple systems.

Step 02

The agent makes sense of the information

Whether a PDF, a set of TMS records, or CRM vendor data, the agent brings it all together. It classifies documents, extracts data, and cross-references against your systems and policies to validate.

When something is missing, it pulls from another system or requests data from the customer directly. Every value is traceable, and discrepancies are flagged before it moves forward.

Step 03

Like a good new hire, our agents ask questions

Every decision is measured against a confidence threshold. When confidence drops below the threshold, a routing layer catches the case before it proceeds. If it still can't proceed, it escalates to your subject matter expert — with a specific question and the full context.

Step 04

Your experts teach it, conversationally

The expert responds in plain language, in whatever tool they already use. The agent parses their response and asks structured follow-up questions when needed. Once confirmed, it reruns the case and presents the result for verification.

Step 05

Built-in change management

The platform aggregates expert feedback across cases, and when it sees a pattern, surfaces a proposed policy change to its agent manager. The change bundle includes what will change, which cases are affected, and regression test results. The agent only updates when its human manager approves it.

Email details from vendor@company.com with subject 'Request for processing – [ref]', message asking team to review attached documents for processing, and a 5-page PDF attachment named Attached_Documents.pdf.

Interface showing document classification, extraction, and validation with inputs of PDF, TMS records, and CRM vendor data, highlighting invoice classification with extracted vendor ID VND-4827, amount $3,357.00, delivery confirmed, and validation checks for record matches and vendor verification.

Escalation notice with a warning triangle stating confidence is below threshold and needs expert review; explains the agent stopped because policy approves accessorial charges but doesn't specify if detention beyond 2 hours qualifies for this carrier tier; asks if detention beyond the 2-hour free window should be approved for Tier-2 carriers, with options to send via Slack, Email, or In-app.

Slack conversation about approving detention beyond 2 hours for Tier-2 carriers, with options to apply the rule to only one carrier, all Tier-2 carriers, or all carriers. The option for all Tier-2 carriers is selected, and a new rule preview states approval of detention up to 4 hours for all Tier-2 carriers with a Confirm button.

Change management interface showing a proposed policy change to approve detention up to 4 hours for Tier-2 carriers, with impact details, regression test results, and options to reject or approve the change.

Topographic map with various contour lines indicating different elevations and terrain shapes.

THE PLATFORM UNDERNEATH

Built for enterprise trust and reliability.

Every layer is designed to meet enterprise standards for security, control, and scale.

Cross-functional agents

Each agent is assembled from 200+ pre-built AI skills with deep operational knowledge across finance, supply chain, and GBS.

Security and governance

Role-based access, audit trails, and policy enforcement are built into the platform.

Integrations

Use APIs, existing RPA, or Reindeer's own RPA capabilities to connect to systems like Oracle, SAP, Microsoft, CargoWise, SharePoint, TMS, and more.

Managed Runtime

Agents run on secure infrastructure that supports long-running tasks and persistent state.

Change management

Versioning and controlled rollouts keep your team in control as agents evolve.

Continuous improvement

Agents learn from expert feedback with no retraining or prompt tweaking required.

Ready to see it in production?

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