Custom AI Agent Development for Enterprises

Autonomous planning and task execution. The AI agent parses requests, queries databases, and triggers required API endpoints. - Sequential planning and execution - Direct API Function Calling - Autonomous error recovery (Self-Reflection)

Coordinating hyper-specialized agents (Data Retriever, Processor, Validator) managed by a central orchestrator. - Zero context window overflow - Cross-validation and quality audits - Adaptive and iterative workflows

Secure API integration with Salesforce, HubSpot, SAP, SQL databases via REST and GraphQL. - Real-time data read and write - Elimination of manual data entry - Full action audit logs and traceability

Automating inbound and outbound phone support in natural language with under 300ms latency. - Native Loxia AI platform integration - 24/7 automated call and booking handling - Instant conversation transcript CRM sync

Architectures engineered with high security standards and strict compliance with European regulations. - Tenant isolation and data encryption - Human-in-the-loop controls at key steps - Full compliance with EU AI Act directives

Custom engineering that guarantees full ownership of your corporate code and software architecture. - No recurring lifetime SaaS fees - Technological independence and customization - Maximized ROI over time

Legacy rule-based decision trees and simple chat wrappers collapse on unstructured data and multi-system workflows. - Eliminates passive chat wrappers - Prevents context decay and hallucination - Connects LLM reasoning directly to backend execution

Implementing ReAct (Reason + Act) and Tree of Thoughts execution loops for non-linear problem solving. - Continuous Thought-Action-Observation loops - Deterministic OpenAPI / Swagger JSON binding - Vector RAG memory via Qdrant and pgvector

Forcing a single LLM to handle departmental tasks causes prompt bloat. Multi-Agent Systems isolate roles into specialized software modules. - Role-playing agents (Data Retriever, Auditor, Executor) - Independent quality control and validation loops - High-throughput parallel execution

Stateful graph execution and visual middleware connecting agentic reasoning with enterprise API bridges. - LangGraph cyclic state machines - CrewAI autonomous multi-agent collaboration - n8n visual middleware and webhook routing

Multi-agent pipelines automatically ingest PDF invoices, extract tabular data, and reconcile payments against ERP databases. - 85% processing speedup per document - 99.2% reduction in manual data entry errors - Automated discrepancy flagging and audit trail

Autonomous agents analyze inbound form submissions, enrich company profiles, and book qualified meetings in sales calendars. - Instant response time (< 10 seconds) - 3.5x increase in qualified meeting bookings - Direct CRM enrichment (Salesforce, HubSpot)

RAG-grounded support agents parse incoming tickets, query engineering docs, and execute diagnostic troubleshooting steps. - 70% First Contact Resolution (FCR) rate - 24/7 autonomous support coverage - Automated RMA and user provisioning

Structured 4-phase engineering delivery framework designed to minimize technical risk and accelerate ROI. - Phase 1: Discovery and AI Audit (Weeks 1-2) - Phase 2: Architecture Design and PoC (Weeks 3-5) - Phase 3: MVP Engineering and Integration (Weeks 6-11) - Phase 4: Testing and Production Launch (Weeks 12-14)

Integrating Voice AI Agents with sub-300ms latency for 24/7 phone customer support and automatic CRM transcript synchronization. - Native Loxia AI platform integration - Sub-300ms natural conversational speech - Automated appointment booking and CRM sync

Enterprise AI architectures engineered for maximum data protection, tenant isolation, and regulatory compliance. - Zero-Data Retention contracts and RBAC controls - Human-in-the-loop safeguards at key steps - Full compliance with EU AI Act directives