An enterprise AI agent platform that enables organizations to deploy persona-driven AI agents across business functions — marketing, sales, customer support, architecture, engineering, and operations — each with specialized knowledge, tools, and behavioral patterns.
Organizations wanted to leverage AI but struggled with generic chatbots that couldn't maintain context, follow business processes, or integrate with existing tools. Every department had different needs: marketing wanted creative content generation with brand voice consistency, sales needed CRM-integrated lead qualification, support required ticket management and knowledge base access, and engineering wanted code review and architecture assistance.
Each department also had different tone requirements, compliance constraints, and workflow integrations. A one-size-fits-all chatbot couldn't serve any of them well. Security and data isolation between departments was critical — the sales agent shouldn't access engineering codebases, and the support agent shouldn't see financial projections. The client needed a platform that could deploy specialized, persona-driven agents at scale while maintaining strict access controls and providing centralized management.
We built a multi-agent orchestration platform where each agent has a fully configurable persona — defined role, tone of voice, domain expertise, behavioral boundaries, and escalation rules. Agents are equipped with tool access tailored to their function: CRM integration for sales agents, ticketing systems for support agents, code repositories for engineering agents, and analytics dashboards for operations agents. Each agent maintains persistent memory within its domain, enabling continuous context across conversations.
The platform supports agent collaboration — agents can hand off tasks to other agents, escalate to human operators, and trigger workflow automations across integrated systems. Role-based access control with OAuth 2.0 ensures strict data isolation between departments. A central management dashboard provides agent performance analytics, conversation quality metrics, usage patterns, and configuration management. The system integrates with multiple LLM providers (OpenAI, Anthropic, Google) with automatic fallback and cost optimization. RabbitMQ handles async task processing and inter-agent communication.
Python, Node.js, TypeScript, FastAPI
Angular, TypeScript, Chart.js
OpenAI, Anthropic, Google APIs, LangChain
Vector Databases, Embedding Models
PostgreSQL, Redis
RabbitMQ, Async Task Processing
OAuth 2.0, RBAC, Data Isolation
Docker, Kubernetes, CI/CD
The platform transformed how the organization leverages AI across departments. With 15+ specialized agent personas handling over 50,000 conversations monthly, the impact was immediate and measurable. The 73% ticket deflection rate in customer support alone justified the investment, while the 40% reduction in response time across all departments improved both employee productivity and customer satisfaction. The 92% user satisfaction score reflects agents that genuinely understand their domain and provide relevant, actionable responses.
"We tried generic AI chatbots before and they failed — they couldn't maintain context, didn't understand our processes, and every department complained they were useless. PC Consulting's agent platform was completely different. Each agent feels like it was built specifically for that department because it was — configured with the right persona, tools, and knowledge. Our support team's ticket deflection rate alone saves us hundreds of hours monthly. The platform has become essential infrastructure for how we operate."