Multi-Agent AI Systems for Expert Sourcing & Workflow Automation
We’re Pragmatic Coders — a product development company helping companies design and deliver AI systems based on modular, hierarchical agent architectures.
Check how we can help you below.
AI AGENT SERVICES
What is a Multi-agent AI system?
A multi-agent AI system is a modular architecture where multiple specialized agents — each with distinct roles — collaborate under a central supervisor to complete complex tasks. These systems are ideal for workflows requiring reasoning, coordination, and personalized automation.
Why use multi-agent architectures for expert sourcing?
Agentic AI systems are highly effective for automating human-like workflows such as expert discovery, profile enrichment, and multi-channel communication. They offer scalable, extensible, and orchestrated automation tailored for real-world complexity.
How Pragmatic Coders helps build multi-agent systems
Pragmatic Coders is a product development company that partners with organizations to design and deliver AI systems using modular, hierarchical agent architectures. We build real, production-ready systems — not prototypes — through agile, transparent collaboration.
What we offer
- Architectural guidance for multi-agent AI workflows
- Cross-functional teams with AI, backend, and orchestration expertise
- Experience with LLM frameworks like LangGraph, CrewAI, and AutoGen
- API and CRM integration for real-world interoperability
- Focus on modularity, scalability, and reliability
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What types of AI Agents can be developed?
We design each agent as a reusable, standalone component that evolves over time. Example agents include:
- Expert Search Agent: Performs intelligent discovery and ranking based on project criteria.
- CV Parser / Profile Enricher: Extracts and augments profile data from diverse sources.
- Multi-Channel Messaging Agent: Manages outreach and two-way communication across email, LinkedIn, and chat.
- Guided Project Setup Agent: Onboards users and scopes needs through structured guidance.
- Supervisor Agent: Coordinates subtasks and orchestrates the system.
What we deliver
Whether you’re starting fresh or expanding a prototype, we support:
- Designing your system architecture
- Building Supervisor and specialized sub-agents
- Integrating data pipelines and enrichment
- Developing communication layers and outreach logic
- Managing orchestration, task routing, and fallbacks
- Delivering production-grade logging, monitoring, and modular deployments
Check our successful AI agent projects
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We created an AI-powered workflow to automate tech candidate evaluation. It saves us time and ensures objective & data-driven hiring.
Learn MoreFrequently Asked Questions
How does Pragmatic Coders approach AI agent orchestration?
We use modular frameworks like LangGraph and CrewAI to enable flexible, supervised task delegation among agents.
Can you integrate with external systems like CRMs and LinkedIn?
Yes. Our systems support seamless integration with messaging platforms, CRMs, and public APIs.
Do you offer support beyond MVPs?
Absolutely. We specialize in scaling AI products to production-level reliability and performance.
What’s the typical collaboration model?
We provide dedicated cross-functional teams that work iteratively with clients from scoping to delivery.
Let’s build together
We’re open to collaborations starting in Q3 2025. If you’re building:
- A multi-agent system for expert sourcing
- AI-powered onboarding and enrichment tools
- Communication automation across channels
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