Custom AI chatbot development that integrates with CRM and ERP systems

We develop custom middleware architectures that integrate chatbots with Salesforce, HubSpot, SAP, NetSuite, Microsoft Dynamics, and proprietary legacy systems using REST APIs, webhooks, and event-driven synchronization. Our integration layers handle authentication, data mapping, error handling, and real-time bidirectional communication, enabling chatbots to retrieve customer records, update CRM entries, trigger ERP workflows, and maintain data consistency across enterprise systems without manual intervention.

We build domain-specific natural language processing systems using transformer-based architectures (BERT, GPT) fine-tuned on your industry vocabulary, product catalogs, support documentation, and historical customer conversations. Our training pipelines implement intent classification, entity extraction, sentiment analysis, and multi-turn context management, achieving 85%+ comprehension accuracy for complex queries that generic models misinterpret, reducing escalation rates and improving user satisfaction.

We create intelligent response systems that query customer profiles, purchase histories, support tickets, and behavioral analytics in real-time to deliver personalized conversations. Our chatbots access customer segment data, lifetime value calculations, preference settings, and interaction histories from integrated systems, enabling VIP treatment workflows, tailored product recommendations, context-aware escalation thresholds, and dynamic conversation paths based on individual customer attributes.

We engineer chatbots with secure transactional capabilities, processing payments through Stripe or PayPal integrations, booking appointments with calendar API connections, modifying orders via ERP updates, managing subscriptions through billing platform APIs, and triggering backend automation workflows. Our implementations include PCI-DSS compliant payment handling, multi-step transaction validation, rollback logic for failed operations, and comprehensive audit trails for financial transactions.

We build adaptive chatbot systems implementing reinforcement learning from human feedback (RLHF), automated intent discovery from unhandled queries, and scheduled model retraining based on conversation analytics. Our MLOps platforms track prediction confidence, identify knowledge gaps, aggregate conversation feedback, and trigger retraining workflows, enabling chatbots to improve response accuracy, discover emerging customer questions, and adapt to business rule changes without developer intervention.

We develop chatbots supporting 30+ languages using multilingual transformer models (mBERT, XLM-R) with language-specific fine-tuning for regional dialects, industry terminology translations, and culturally appropriate response styles. Our platforms implement automatic language detection, seamless mid-conversation language switching, localized entity recognition, and region-specific business logic, enabling unified chatbot deployment across international markets with consistent user experience.

We create analytics systems tracking conversation completion rates, intent classification accuracy, escalation trigger patterns, user sentiment distributions, resolution times, and funnel conversion metrics. Our dashboards visualize common failure scenarios, identify training data gaps, compare chatbot performance across segments, and provide exportable reports demonstrating ROI, enabling data-driven optimization of NLP models, conversation flows, and escalation policies.

We engineer chatbot platforms meeting GDPR, HIPAA, PCI-DSS, and SOC 2 requirements through end-to-end encryption, role-based access controls, comprehensive audit logging, and configurable data residency options. Our security implementations include secure credential management, API rate limiting, DDoS protection, automated vulnerability scanning, and penetration testing, ensuring chatbots handle sensitive customer data with enterprise security standards and regulatory compliance.