AI Agent Automation Platform

Turn business processes into intelligent AI agents.

Qore Agent Factory converts your existing workflows into production-ready AI + RPA agents — reading and writing across your ERP, CRM, and finance systems, without your team designing or coding a single automation.

Build Your First AI Agent →

From template to live agent in weeks, not months

Person working alongside an AI system on dual monitors

Process Flow Live Execution

Business Process Email / Docs / Sheets

AI Agent Reads & Decides Understands intent

RPA Executes Action No manual steps

Systems Updated ERP / CRM / Finance

Agent running

Weeks

Not Months

Template to live agent, faster than traditional automation projects.

Zero

Engineering Load

You bring process knowledge — we handle AI, RPA, and integration.

100%

Audit Trail

Full visibility, compliance, and explainability for every action.

Enterprise

Scale

Built for high-volume, mission-critical workflows that evolve with you.

How Qore Agent Factory Works

End-to-End Automation,
From Trigger to Action.

Four steps take your process from a written procedure to a live agent working inside your systems.

Step 01

Define Process

Send us your emails, input and output files, and end goal — no template or formal spec required.

Step 02

Agent Creation

Qore builds production-ready agents with AI, RPA, and the integrations your process needs.

Step 03

Trigger & Execute

Agents activate on events, process data, and take actions across your systems.

Step 04

Monitor & Improve

Track performance, handle exceptions, and continuously optimize the workflow.

TriggersNew records · status changes · thresholds · scheduled jobs

AI AgentsProcess data · apply rules · decide · act · trigger next step

Your SystemsERP · CRM · Finance · Supply Chain · Custom Apps

AI agent processing and orchestrating automated workflows

AI + RPA working together

How We Build It

From your SOPs to a live agent — no black box.

Every agent we build follows the same disciplined pipeline, whatever the process — HR onboarding, invoice approvals, customer support, or trade compliance. You always know how your process became a workflow.

Automatic ingestion of emails, SOPs, and policy documents

AI-tagged entities, rules, steps, and decision points

One organized knowledge base per use case

Reusable micro-agents from the Qore Agent Library

Defined human-review points for high-risk steps

A generated diagram of the live workflow

QORE//AGENT FACTORY PIPELINE

Example: employee onboarding
(the same pipeline builds any process)

Ingest

Emails, forms, and policy documents are pulled in automatically.

e.g. Offer letter + IT policy + checklist

Clean & Tag

Content is normalized, then tagged for names, dates, roles, and required steps.

e.g. Employee, start date, department, manager

Knowledge Base

Every tagged document is combined into one organized knowledge base.

e.g. Approval chain, systems, deadlines

Map to Agent Library

Required steps are matched against Qore's library of reusable micro-agents.

e.g. Form filler, account creator, reminder sender

Orchestrate

Agent order, parallel work, decision points, and human-review points are set.

e.g. Manager approval before accounts are created

Deploy

A live workflow diagram is generated and your agent goes into production.

e.g. Request → agents → manager review → done

Built-In Governance

Every workflow generates its own diagram — showing the requester, orchestrator, agents, human reviewers, and audit trail — before it ever goes live.

Messages

Spreadsheets

Records

Reports

Inbox

One agent, all your tools

Seamless Integrations

Connects to Whatever
You Already Work In.

These are just a few examples. If your team can log into it, click around in it, or reach it through an API, an agent can very likely work inside it too — the same inbox, sheets, and CRM your people already have open all day.

Outlook

Gmail

Excel

Salesforce

Slack

SAP

Dynamics

Oracle

Workday

ServiceNow

NetSuite

Anything Else You Use

Not seeing your tool listed? If your team can reach it, so can an agent — via its API, its interface, or a custom connection we build for you.

Free Workflow Trial — applications open, only 3 spots this month

Apply to Have Us Structure & Define Your Workflow — Free

Most teams know a process is inefficient but haven't broken it down into clear steps, decision points, and handoffs — that's usually the hard part, not the automation itself. If selected, our team works with you to structure and define one real workflow — finance, HR, procurement, ops, or anywhere else in the business — and map out exactly where an AI agent would fit.

Free, if selected: our team works with you to structure and define your workflow, and hand back a mapped-out automation plan — steps, systems touched, and where an agent fits.

Only if you proceed: we scope and build the actual working agent together, based on that plan.

// Thanks — we'll review your application and follow up by email within 1 business day.

This is a guided review, not an instant sign-up — we'll follow up by email once we've reviewed your application. Limited to 3 selected applicants this month, one workflow per company.

Questions

Common Questions

No — and you don't need a technical spec either. Just show us how the work gets done today: dump us the email exchanges, the input and output files, and what the end goal looks like. Qore turns that into a production-ready agent.

No. Most teams don't have one written down. A handful of real examples — a sample email thread, a filled-in spreadsheet, a completed approval — is usually enough for us to map out the steps and rules ourselves.

Most workflows go from kickoff to live agent in weeks, not the months typical of traditional automation projects.

Realistically, anything your team can already access. Outlook, Gmail, Excel, Slack, Salesforce, SAP, Dynamics, Oracle, Workday, ServiceNow, and NetSuite are common examples, but we're not limited to that list — if it has an interface or an API, an agent can very likely work inside it.

Yes — every step, decision, and hand-off an agent makes is logged for full visibility, compliance, and explainability.