Your existing workflows and SOPs become fully autonomous AI agents — production-grade, 99%+ accurate, and live in weeks. No AI expertise needed on your end.
No AI engineering team needed. No months of setup. You describe the workflow — we build and deploy the agent.
Fill in our standardised Business Process Template with your workflow steps, rules, data sources, and systems. No technical knowledge or prompt engineering needed — we capture everything required to build your agent.
SOP & Workflow IntakeOur Agent Factory auto-generates production-grade agents from your workflow — a Master Orchestrator coordinating specialist sub-agents powered by RPA + GenAI. No AI engineering expertise required.
Automated Agent GenerationAgents run in your systems — on-prem, cloud, or via API. Your data stays in your infrastructure. Deployed in weeks, continuously improving, scaling elastically with compute.
On-Prem · Cloud · APIThe performance gap between manual enterprise operations and Qore agent-driven workflows.
No commitment. We'll scope your use case and show you a realistic timeline and accuracy benchmark.
Here are some of the enterprise workflows we've already turned into AI agents. Each one is production-ready, live, and built to scale — explore any to see it in detail.
Screen customers, suppliers, and shipments against 200+ global watchlists — automatically, with full audit trails.
Keep your CRM and MDM data current, verified, and complete in real time — no more manual cleanup sprints.
From ICP generation to personalised emails, LinkedIn Ads, and InMail — a fully automated B2B outreach pipeline.
Have a workflow that isn't listed here? We build custom agents for any repeatable enterprise process — deployed in weeks.
Qore agents are designed for mid-to-large enterprises where manual workflows are the bottleneck. If your team spends hours on repetitive, data-heavy processes — this is for you.
A typical Qore agent goes from workflow submission to live production in under 4 weeks.
Tell us about your workflow. We'll show you how quickly we can turn it into a production-grade AI agent — and what accuracy benchmarks typically look like for your use case.