Custom AI Agents & Internal AI Assistants
Autonomous AI Agents & Enterprise Assistants — Built for Production.
Custom autonomous AI agents, multi-step LLM workflows, and private enterprise assistants engineered with human-in-the-loop controls, deterministic guardrails, and zero data retention.
Key Performance Indicators & SLAs
System Architecture & Execution Pipeline
Ingestion & Security Gateway
Encrypted webhook, API, or message triggers filtered through prompt injection firewalls and PII redaction.
Private Knowledge Retrieval (RAG)
Hybrid semantic vector + BM25 keyword search across your Notion, Google Drive, SQL DBs, and docs.
Multi-Step Agent Reasoning
LangChain / Python stateful orchestration with dynamic tool calling, deterministic validation, and dry-run execution.
Human-in-the-Loop Review
Automated Slack/Teams approval modal for high-stakes actions, sensitive data mutations, or customer communications.
Execution & System Sync
Final state commits directly to CRM, ERP, transactional databases, and real-time telemetry dashboards.
Core Modules & Scope
Role-Specific Internal Co-Pilots
Autonomous internal agents tailored for finance, customer support, sales qualification, or operational triage that understand your company SOPs.
Private Vector RAG Architecture
Secure document embeddings synchronized in real time with Postgres pgvector or Pinecone, ensuring agents only answer with verified ground truth.
Tool-Calling & API Action Execution
Agents that don't just chat — they execute verified actions like creating invoices, querying databases, updating CRM stages, and dispatching alerts.
Guardrails, Safety & Human Escalation
Two-stage verification with hallucination detectors, confidence thresholds, and Slack/email approvals when confidence drops below 95%.
Delivery Framework
Agent Scoping & Data Audit
We map target workflows, establish bounding boxes, and evaluate enterprise data sources for retrieval quality.
Sandbox Architecture & Evaluation
We build private RAG pipelines, test prompt topologies, and measure benchmark accuracy against real historical cases.
API Integration & Guardrail Layering
Connect live business endpoints, implement authentication, rate limits, and human escalation workflows.
Production Deployment & Telemetry
Deploy containerized agents with full observability, latency tracking, and continuous prompt refinement.
Frequently Asked Questions
Is our proprietary data used to train LLMs?
Never. We use enterprise zero-retention API agreements with strict data privacy guarantees. Your private company knowledge stays strictly inside your designated vector database.
How do you prevent hallucinations in high-stakes actions?
We enforce strict JSON schema output validation, ground responses directly in retrieved context chunks (RAG), and enforce Human-in-the-Loop review for state-mutating operations.
Can the AI agent interface with our custom internal tools?
Yes. Using OpenAPI specifications and custom Python/Node middleware, we give agents secure tool-calling capabilities to query internal databases, REST endpoints, and SaaS tools.
Who owns the code, prompts, and infrastructure?
You own 100% of all code, prompt architectures, database schemas, and cloud deployment pipelines from day one with zero vendor lock-in.