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AI Development
AI Agent Development
Build intelligent AI agents that automate complex workflows, engage customers, and drive operational efficiency. From conversational assistants to autonomous decision-making systems, we architect AI agents tailored to your business logic.
Get Started12+
AI Agents Delivered
40%
Avg. Cost Reduction
2x
Productivity Gain
6 wks
Avg. Delivery Time
Service Category
AI Agent Engineering
Ideal For
Enterprises and startups looking to automate workflows, enhance customer interactions, or build intelligent automation systems.
Timeline
6 – 14 weeks
Intelligent Agents for Modern Business
AI agents go beyond simple chatbots. They reason, plan, execute multi-step tasks, and learn from interactions. Our team builds production-grade AI agents that integrate with your existing systems — CRMs, ERPs, databases, and third-party APIs — to deliver measurable business outcomes.
What We Build
We design and deploy a range of AI agent architectures depending on your use case:
- Conversational Agents — Customer support, sales qualification, and internal helpdesk bots that handle nuanced, multi-turn dialogues.
- Task Automation Agents — Agents that execute workflows end-to-end: data extraction, document processing, report generation, and system integrations.
- Autonomous Decision Agents — Systems that monitor data streams, detect anomalies, and take corrective action with minimal human oversight.
- Multi-Agent Systems — Coordinated agent networks where specialized agents collaborate to solve complex problems.
Our Technical Approach
Every agent we build follows a structured development lifecycle:
- Requirements analysis and use-case mapping to define agent capabilities and guardrails.
- Architecture design covering LLM selection, tool integration, memory management, and fallback strategies.
- Iterative development with prompt engineering, function calling, and retrieval-augmented generation (RAG).
- Rigorous testing including edge-case handling, hallucination detection, and latency optimization.
- Deployment with monitoring, logging, and continuous improvement pipelines.
Technology Stack
We leverage industry-leading frameworks and models — LangChain, LlamaIndex, OpenAI, Anthropic Claude, Google Gemini, and open-source models — to deliver agents that are cost-effective, scalable, and secure. Our infrastructure runs on AWS, GCP, and Azure with containerized deployments for reliability.
Our Process
1
Discovery & Scoping
Identify high-impact use cases, define agent capabilities, set success metrics, and map integration points.
2
Architecture Design
Select models, design tool schemas, define memory strategies, and plan guardrails and fallback flows.
3
Agent Development
Build agent logic with prompt chains, function calling, RAG pipelines, and integration adapters.
4
Testing & Validation
Run evaluation suites covering accuracy, safety, edge cases, latency, and cost benchmarks.
5
Deployment & Monitoring
Deploy to production with observability, A/B testing, feedback loops, and continuous prompt tuning.
Technology Stack
AI/ML Frameworks
LangChainLlamaIndexSemantic KernelCrewAIAutoGen
LLM Providers
OpenAI GPT-4Anthropic ClaudeGoogle GeminiMistralLlama
Infrastructure
AWS BedrockAzure OpenAIDockerKubernetesRedis
Data & Search
PineconeWeaviatePostgreSQLElasticsearch
Industries We Serve
HealthcareFinancial ServicesE-CommerceLegal TechCustomer ServiceManufacturing
Ready to Build Your AI Agent?
Tell us about your use case and we'll design an AI agent architecture tailored to your business requirements.
Frequently Asked Questions
MicrocosmWorks builds a wide range of autonomous AI agents including customer support agents, sales qualification bots, data extraction and analysis agents, workflow automation agents, and multi-agent orchestration systems. Each agent is built on top of leading LLMs like GPT-4, Claude, or open-source models and integrates with your existing tools via APIs, databases, and third-party platforms.
Our AI agent development starts with an AI Blueprint engagement at $4,000, which defines your agent's architecture, tool integrations, and success criteria. A single autonomous agent build starts from $6,400, with development rates ranging from $10-$50/hr depending on complexity. Multi-agent systems and enterprise-grade deployments are scoped on a project basis after the blueprint phase.
A single-purpose AI agent typically takes 4-6 weeks from blueprint to production deployment. More complex multi-agent systems with custom tool integrations, memory layers, and guardrails can take 8-12 weeks. We follow an iterative approach with weekly demos so you can see progress and provide feedback throughout the build.
We work with LangChain, LlamaIndex, CrewAI, AutoGen, and custom orchestration frameworks depending on your use case. Our agents integrate with tools like Slack, Salesforce, HubSpot, Jira, Google Workspace, internal databases, REST APIs, and custom enterprise systems. We also implement retrieval-augmented generation (RAG) pipelines for agents that need access to your proprietary knowledge base.
We implement multiple layers of guardrails including structured output validation, tool-use verification, confidence scoring, and human-in-the-loop escalation paths. Every agent goes through rigorous evaluation with test suites covering edge cases, adversarial inputs, and failure modes. We also set up monitoring dashboards and alerting so you can track agent performance, accuracy, and cost in real time.
Absolutely. MicrocosmWorks specializes in building AI agents that slot into your current tech stack rather than replacing it. We connect agents to your CRM, ERP, helpdesk, communication tools, and internal applications through secure API integrations and webhook-driven workflows. This means your team can start benefiting from AI automation without overhauling existing processes.