Aonami deploys AI agents that automate manual operations across banking, lending, insurance, healthcare, logistics, and manufacturing. The platform integrates with existing enterprise systems like Salesforce, SAP, and ServiceNow, reducing manual processing by 85% and cutting compliance cycles by 3x. Deployments go live in 2-4 weeks, compared to 8-12 months for traditional development.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises in banking, lending, insurance, healthcare, logistics, and manufacturing rely on manual, fragmented workflows that slow down critical operations. This creates bottlenecks where decisions stall, compliance cycles drag, and teams are left flying blind without actionable insights from their data.
Solution
Aonami deploys AI agents directly into a company's existing operations to automate the work itself—filings, documents, reports, and other repetitive tasks. The platform identifies bottlenecks, learns the client's systems, and operates within them, integrating with trusted tools like Salesforce, SAP, ServiceNow, and 240+ others. This approach reduces manual processing by up to 85% and accelerates compliance cycles by 3x, with deployments going live in weeks rather than months. Aonami offers both horizontal agents that plug in anywhere and full products built for specific industries, ensuring a tailored fit for each operation.
Target Audience
Primary customers are operations and technology leaders at banks, NBFCs, insurers, healthcare providers, logistics firms, and manufacturers who need to automate complex, system-heavy workflows without replacing their existing infrastructure.
Features
- Pre-built horizontal AI agents that integrate across any department, plus full products tailored for specific industries like banking and lending
- Native integration with 240+ enterprise systems including Salesforce, SAP, ServiceNow, TCS BaNCS, Finacle, Temenos, and Oracle
- Deployment model that requires only one platform lead instead of eight engineers, with zero-touch maintenance after launch
- Agent lifecycle management covering discovery of bottlenecks, learning from existing systems, and ongoing operation of workflows
- AI-driven decision support that interprets behavioral signals to improve judgment in lending and other high-stakes operations