Axonity provides an AI work layer that overlays existing SME applications, creating a digital twin of process flows to visualize bottlenecks and automate cross‑system actions with rule‑based AI agents. The platform includes an AI Ops engine that monitors execution, flags exceptions, and continuously refines workflows, delivering rapid prototype deployment within days for measurable ROI.
Funding
Funding not disclosed
Founders
Product
Problem
Small and medium-sized enterprises (SMEs) often rely on manual, repetitive tasks across disparate legacy systems, resulting in high operational error rates, limited visibility into process variations, and constrained employee capacity for value‑adding work.
Solution
Axonity delivers an AI work layer that overlays existing SME applications without requiring new IT infrastructure. The platform creates a digital twin of current process flows to expose bottlenecks and variations, then deploys AI agents that read orders, validate data, and orchestrate cross‑system actions according to defined business rules. An AI Ops cycle continuously monitors execution, flags exceptions, and refines rules and workflows, turning each automation into a self‑improving service. Within five days, Axonity provides a tested prototype for a selected critical workflow, enabling rapid ROI assessment and a roadmap for broader rollout.
Target Audience
The primary customers are SMEs in sectors such as manufacturing, logistics, professional services, and customer support that seek to automate administrative, planning, quality‑control, or service‑delivery workflows while preserving their existing technology stack.
Features
- Digital twin modeling that visualizes real‑time process flows, variations, and bottlenecks in a single interactive view.
- AI agents acting as digital colleagues: they ingest inputs, enforce data quality, trigger actions across ERP, CRM, and other legacy tools, and make rule‑based decisions without human fatigue.
- AI Ops engine that captures performance metrics, performs exception analysis, and automatically updates workflow rules (Kaizen‑as‑a‑service).
- Rapid AI Design Sprint: a 2‑5 day sprint that designs the future workflow, builds a prototype, and quantifies expected ROI before production deployment.
- Zero‑code integration layer that connects to existing systems via APIs or RPA hooks, eliminating the need for additional software purchases.
- Live process insight dashboard delivering per‑employee time‑savings, error‑rate reductions, and compliance reporting.
- Scalable Foundry environment for production‑grade deployment, monitoring, and incremental expansion of AI agents across multiple processes.