AI Automation & Agent Deployment
Production-grade AI agents — not demos.
What it is
We build AI agent systems that handle real business workflows. Not proof-of-concepts. Not demos that die in review. Systems that process thousands of interactions per day, integrate with your existing stack, and degrade gracefully when something goes wrong.
Agent deployment means owning the full lifecycle: architecture, implementation, evaluation, deployment, monitoring, and iteration.
Who it's for
- ◆Companies with repetitive, high-volume workflows that require judgment
- ◆Teams that have tried off-the-shelf AI tools and hit their limits
- ◆Organizations that need AI integrated into existing systems (CRM, ERP, comms)
- ◆Leaders who've seen AI demos that didn't make it to production
What we actually build
Conversational agents
Real-time voice and text interfaces with <500ms latency. Deepgram for STT, ElevenLabs for TTS, Claude as the primary reasoning model — with GPT-4 or Gemini available for multi-model routing.
Multi-agent orchestration
Specialized agents with defined scope, routing logic, handoff protocols. Built on LangGraph, custom frameworks, or bare API calls — whatever the problem needs.
Production monitoring
Latency tracking, quality scoring, anomaly detection. Alerts before users notice problems.
Multi-model routing
Route queries to the right model for cost/quality tradeoffs. Don't pay GPT-4 prices for GPT-3.5 tasks.
Retrieval-Augmented Generation
Production RAG pipelines with proper chunking, embedding, and reranking. Not just a Chroma demo.
Our Process
Discovery
(Week 1–2)We map your workflow, identify automation candidates, and define success metrics. No vague promises.
Architecture
(Week 2–3)Design the agent system: models, orchestration, integrations, fallbacks, monitoring.
Build
(Week 3–8)Implementation with weekly demos. You see progress. You give feedback. We adjust.
Evaluation
(Week 8–9)Rigorous testing against real production data. Define quality thresholds before go-live.
Deploy & Operate
(Week 10+)Production deployment with monitoring, alerting, and a 90-day operational support period.
Frequently Asked Questions
What types of AI agents does Nisco build?
Production-grade AI agents including phone agents, document processors, workflow automation bots, multi-agent orchestration systems, and conversational interfaces. Every agent is built for production reliability, not demo quality.
How long does an AI automation project take?
Typical projects run 6-16 weeks depending on complexity, from single-task bots to multi-agent orchestration systems. We start with a discovery phase to scope the work accurately before committing to timelines.
Can you integrate AI with our existing systems?
Yes. We specialize in integrating AI capabilities with existing enterprise infrastructure — CRM, ERP, communication platforms, databases, and custom systems. Our solutions fit into your existing environment rather than replacing it.
What happens after deployment?
We provide 24/7 production monitoring, prompt tuning, cost optimization, and ongoing iteration based on real production data. Our 99.9% uptime SLA covers all managed systems.