AI Agent Development Company for Sales, Support, Operations, and Voice Automation
Searching for an AI agent development company? RDMI builds production agents that use tools, memory, state, approvals, and observability — on OpenAI, Anthropic, and open-source LLMs with LangGraph, CrewAI, and LangSmith evals.
Production Agents Shipped
Task-Success Rate at Launch
Prototype → Production
Enterprises With Agent Governance (Deloitte)
Free AI agent workflow audit
Get a 48-hour AI agent build plan
Production AI agents
An agent is not a chatbot. It needs tools, memory, state, approvals, retries, and observability.
We build agents that complete real business workflows: qualify leads, update CRMs, triage tickets, reconcile documents, call APIs, and escalate when confidence drops.
Workflow and tool map
We identify the goal, tools, APIs, databases, permissions, failures, and human approval gates before building.
Task-success benchmarks
Every agent is measured by completed outcomes, not conversations: success rate, overrides, latency, cost, and errors.
Stateful agent runtime
LangGraph and CrewAI patterns with typed tool schemas, memory, retries, audit logs, and deterministic boundaries.
Governance from day one
LangSmith traces, eval suites, regression tests, secrets, rate limits, role access, and private deployment options.
NDA-safe work snapshots
Built for sales, support, operations, finance, compliance, and internal teams.
What we build
One senior team for sales agents, support agents, ops agents, voice agents, tool integration, evals, and governance.
Clear delivery path
From agent workflow map to production without demo theatre.
You get senior thinking first, working prototypes early, and source code ownership from day one.
Agent Scope & Tool Mapping — Within 2 Hours
Senior AI architect identifies the workflow, the tools (APIs, DBs, CRMs), decision boundaries, and where humans approve. You leave the call with an agent spec, eval plan, and honest risk register — not a pitch.
Working Agent Prototype in 2 Weeks
Real agent running on your data, calling your tools, producing measurable outputs. You break it end-to-end before we go to production. Eval benchmarks locked into the contract.
Production Build in 6–8 Weeks
LangGraph state machines, CrewAI orchestration, LangSmith traces, guardrails, rate limiting, human-in-the-loop escalation, audit logs. Shipped against contracted task-success benchmarks — or we iterate free.
Deploy, Measure, Keep Improving
Production launch with agent trace dashboard, KPI tracking, and drift alerts. 30 days free optimisation. Retainer for eval-driven improvement as your tools and data evolve.
Direct senior developer
Your AI architect gets on a call in 2 hours — not a consultant with slides. 30+ production agents built. We tell you which patterns actually work and which are 2024 hype.
No lock-in ownership
Senior engineers only. No sub-contracting, no per-conversation markup, no vendor lock-in. Full source code, prompts, eval sets, and any fine-tuned weights are yours on payment.
AI-native lead capture
Agents without evals silently fail in production. Every agent we ship has LangSmith traces, a regression test suite, and task-success benchmarks in the contract from day one.
Why buyers choose RDMI
Compared with chatbot widgets, agent demos, and automation templates.
| Decision factor | RDMI | Commodity agency | Freelancer |
|---|---|---|---|
| Who you talk to | Senior AI agent architect | Sales or solutions team | Varies |
| First useful output | Workflow map + eval plan in 48 hours | Demo bot | Estimate |
| Tool integration | Typed tools with audit logs | Basic webhook | Varies |
| Reliability layer | Evals, retries, traces, approvals | Usually absent | Limited |
| Ownership | Code, prompts, evals yours | Platform-owned | Usually code only |
Client notes
Proof from teams that needed more than a pretty interface.
“Their agent runs our entire lead-qualification pipeline — research, enrich, score, draft the first reply. What took a sales ops person 3 days now takes 7 minutes. The LangSmith traces sold our board on scaling the next three workflows.”
V.N.
VP Growth, B2B SaaS
“Three failed GenAI pilots before RDMI. They started with evals and observability — not a demo — and shipped a production agent in 8 weeks. The difference was process, not prompts.”
D.M.
Head of AI, FinTech
“Voice agent handles 62% of inbound calls end-to-end. Sub-second latency. Callers don't know it's AI. Step-change in our unit economics — we redeployed two humans to revenue ops.”
P.R.
Founder, Real Estate Tech
FAQ
Questions before we build your AI-first software layer.
Stop Talking About AI Agents. Ship One That Finishes Work.
Senior AI agent architect on the call in 2 hours — not a salesperson. Working prototype in 2 weeks. Production agent in 8. Tool integration, LangSmith evals, approval gates, and observability in every deployment.
Need an AI agent that actually finishes work?
Get a senior AI agent architect callback in 2 hours.