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Arul SystemsAgentic AI & Cloud Engineering Partner

Agentic AI

An open-source accelerator to design, build, and deploy AI agents in days — not weeks.

Architecture

Agent Builder architecture diagram
01

The Problem with Today's Options

Agent development today means either adopting a cloud provider's proprietary platform — creating lock-in — or manually assembling infrastructure in the cloud, which can take weeks before a single agent runs.

02

Open Source, Up and Running in Days

This accelerator is built on open-source frameworks, giving you full control with no vendor lock-in. Agents can be stood up in a couple of days and built either through a no-code visual interface or full custom code — whichever fits your team.

03

Built for Interoperability

Agents built with this accelerator can communicate with each other using A2A (Agent-to-Agent) protocols, and connect to existing APIs and tools through MCP (Model Context Protocol) — making them composable with your existing systems from day one.

04

Human in the Loop

Not every agent decision should go straight to the user. In regulated industries, high-stakes workflows, or any situation where agent output carries real-world consequences, a human needs the opportunity to review and approve before the response is acted on.

The accelerator provides built-in mechanisms to pause an agent mid-workflow, route the output for human review, and resume only once approval is given.

Text / SMS

Send an approval request via SMS and resume on reply.

Email

Route output to a reviewer's inbox with approve / reject actions.

Custom

Plug in any approval channel — Slack, ticketing systems, or your own UI.

05

DevOps for Agents

Shipping an agent to production is just the beginning. The accelerator provides ready-made CI/CD pipelines purpose-built for agent workloads — so your team can deploy with confidence, catch regressions early, and keep production healthy.

Blue / Green Deployment

Run the new agent version alongside the current one and cut over instantly — with zero downtime and instant rollback if anything goes wrong.

Canary Releases

Gradually shift a percentage of live traffic to the new version, validate behaviour, then promote — limiting blast radius during rollouts.

Monitoring

Out-of-the-box dashboards tracking agent health, request volume, error rates, and latency across every version in production.

Alerting

Configurable alert rules that fire when metrics breach thresholds — routed to Slack, PagerDuty, email, or any custom webhook.