Agentic AI

Agentic AI uses autonomous software agents that plan tasks, execute actions across systems, and complete work with human oversight. Agents combine large language models (LLMs) for reasoning with retrieval-augmented generation (RAG) for context, plus API integrations to orchestrate multi-step workflows. They maintain execution state, handle exceptions, and adapt based on feedback, functioning as digital workers that understand intent, not just scripts.

RPA automates fixed UI clicks and breaks when layouts change. Chatbots answer questions but don’t execute workflows. Agentic AI does both agents reason over unstructured data, maintain context across sessions, call multiple tools in sequence, and self-correct when encountering errors. They choose optimal paths and escalate to humans when confidence is low.

Accuracy varies by workflow complexity and data quality. Structured tasks (invoice processing, data extraction) typically hit 90-95%+ after tuning. Judgment-heavy workflows (screening, moderation) range from 75-90%. We set confidence thresholds for human review, track precision/recall metrics in real-time, and improve continuously through feedback loops. You control the risk-accuracy tradeoff.

Through secure REST APIs, OAuth 2.0, and service accounts with encrypted credentials. Agents use least-privilege access with only the permissions needed for specific tasks. We support standard connectors for CRMs, ERPs, databases, and cloud storage. All actions generate full audit trails with timestamps, decision rationale, and data access logs.

Yes. Our platform is model-agnostic and integrates with your existing infrastructure: fine-tuned LLMs, computer vision and OCR models, anomaly detection systems, vector databases (Pinecone, Weaviate), and business rule engines. Agents orchestrate these tools, synthesize outputs, and execute next steps while you maintain ownership of models and data.

Pick one high-volume workflow with clear inputs, repeatable steps, and measurable outcomes. We map the process, build a proof-of-concept on your actual data, run parallel testing against a human baseline, then deploy with monitoring and human-in-the-loop controls. Typical pilots show a 40-60% time reduction in 6-8 weeks. Scale only after ROI is proven.

Yes, with proper controls. We support HIPAA, SOC 2, and GDPR compliance through role-based access control (RBAC), automated PII/PHI redaction, immutable audit logs with decision rationale, configurable retention policies, and explainable AI for regulatory review. Deploy on-premises, in your VPC, or in air-gapped environments to maintain data sovereignty.