AI that
Works the Way You Do
We develop smart AI programs, enterprise RAG document retrieval engines, and multi-model LLM pipelines connected directly to your databases, Stripe, CRMs, and Slack to execute operations 24/7 with zero hallucinations.
Built for Real Business Workflows
Our AI agents integrate directly with your tech stack, follow deterministic business logic, and deliver measurable operational ROI.
Customer Support & Ticket Auto-Resolution
Smart conversational programs that resolve 70%+ of customer tickets, query private knowledge bases, process refunds in Stripe, and update CRMs with zero human intervention.
Enterprise RAG & Private Document Search
Sub-80ms semantic vector search across proprietary PDF documents, contracts, codebases, and SQL databases with strict zero-hallucination guardrails and citations.
Multi-Step Business Workflow Orchestration
Complex agent pipelines using LangGraph and CrewAI that ingest webhooks, execute conditional business logic, call external APIs, and update databases 24/7.
AI Sales & Inbound Lead Qualification
Intelligent SDR agents that engage inbound website visitors, assess technical budget fit, sync details directly with Salesforce/HubSpot, and book discovery meetings.
Human-in-the-Loop & Audit Logging
Slack approval modals and interactive dashboard triggers for high-risk operations before final execution, maintaining 100% human oversight and compliance.
Universal API & Database Connectors
Seamless tool integrations for PostgreSQL, Stripe, Zendesk, Slack, Shopify, Jira, Salesforce, and custom REST/GraphQL microservices.
How Hawkflit AI Agents Execute in Production
Inbound Event Trigger
A user submits a ticket, Slack command, webhook event, or database update.
RAG & Tool Grounding
The agent queries private vectors and fetches real-time context from PostgreSQL/CRMs.
Multi-Step Action
The agent performs tasks autonomously (e.g. process invoices, run code, update records).
Audit & Human Approval
High-risk operations request 1-click human approval via Slack, logging a full audit trail.
Everything You Need to Know About AI Programs
How do smart AI programs differ from simple ChatGPT wrappers?
Simple wrappers only pass prompts to an LLM without state or memory. Our smart AI programs are stateful software systems connected directly to your private databases, APIs, and tools. They reason, plan multi-step execution paths, call external APIs (like Stripe, PostgreSQL, or Slack), verify their outputs, and request human approval when needed.
Is our proprietary business data protected and private?
Yes, 100%. We implement enterprise-grade security with zero data retention on model training, private vector databases (such as pgvector and Pinecone), strict role-based access control (RBAC), and mutual non-disclosure agreements (NDAs).
What tech stack do you use for AI agent development?
We architect AI systems with LangChain, LangGraph, LlamaIndex, OpenAI GPT-4o, Anthropic Claude 3.5 Sonnet, Python (FastAPI), TypeScript, PostgreSQL (pgvector), Redis, and Docker on AWS infrastructure.
How fast can an AI Agent MVP be built and deployed?
A production-ready AI Agent MVP is typically developed and deployed within 2 to 4 weeks, complete with tool integrations, testing, and monitoring telemetry.