30–60 Day Agentic Systems
Production Sprint
Bridge the pilot-to-production gap. We turn fragile prototypes into bounded, self-healing multi-agent swarms built on LangGraph, MCP, and RDxClaw runtime with 100% client IP ownership.
The 4 Pillars of Production Agentic Engineering
1. Bounded Multi-Agent Orchestration
We deploy stateful, deterministic agent graphs using LangGraph, MCP, and Sterlites’ open-source RDxClaw Go runtime. Every task has an explicit execution boundary, deterministic handoffs, and human-in-the-loop triaging.
2. 3-Layer Memory & SKILL.md Injection
Eliminates context-window bloat and token-drift. Agents operate across episodic session storage, semantic vector/graph knowledge retrieval, and procedural markdown playbooks (SKILL.md) for zero-hallucination tool grounding.
3. The Sterlites Governance Harness
Hard safety rails: automated CI/CD eval benches, 3.0x token-velocity circuit breakers to eliminate infinite execution loops, sub-second latency tuning, and immutable cryptographic audit logging for full observability.
4. Enterprise ERP/CRM Integration
Secure real-time tool calling into your operational tech stack—SAP, Salesforce, Oracle, Postgres, MongoDB, and proprietary internal microservices—with zero downtime and full enterprise role-based access control.
Ready to Ship Production AI Agents?
Skip months of internal trial-and-error. Let’s scope your bounded agentic system and deploy it into your environment in 30 to 60 days.
Scope Your Production SprintQuestions? Answered.
How do you prevent agents from hallucinating or entering runaway loops?
We engineer bounded agent states using the Sterlites Governance Harness. This includes hard-coded 3.0x token-velocity circuit breakers that pause execution if an agent exceeds predetermined cost/iteration ceilings, combined with human-in-the-loop escalation triggers.
Who owns the code and fine-tuned weights after the sprint?
You do. 100% of all intellectual property—including agent workflows, custom tool definitions, fine-tuned LoRA weights, and orchestration scripts—is transferred cleanly to your organization with zero vendor lock-in.
How do you connect agents to our legacy enterprise systems (SAP, Oracle, Salesforce)?
We leverage Model Context Protocol (MCP) servers and deterministic API tool-calling bridges. Agents interact with your systems through strictly isolated permission boundaries, ensuring existing data schemas and enterprise authorization policies remain intact.
What is RDxClaw and why does Sterlites use it?
RDxClaw is Sterlites' open-source high-performance Go agent runtime (github.com/Sterlites/RDxClaw). It provides sub-millisecond agent dispatch, isolated process execution workspaces, and memory-safe orchestration that outperforms bloated Python script runners in production.