Business IT · AI Agent Integration
We deploy AI agents and local LLMs that run on your hardware — not someone else's cloud. OpenClaw, Ollama, LangChain, and LlamaIndex, configured for your workflows and your data classification requirements.
For businesses in Long Beach, Torrance, and the South Bay where data sovereignty matters, the right AI stack is one your operations team can actually trust.
New client credit applies to your first Chadsel invoice.
Deployment Models
Not every workflow needs cloud AI. We match the deployment model to your data sensitivity — local for sensitive data, cloud for general tasks, hybrid for most businesses.
Agent Stack
We don't build agents from scratch — we integrate the right combination of proven platforms and models for your specific workflows.
OpenClaw agent integration. Connects to your business systems and surfaces operational insights — deployable on-premise, cloud, or hybrid. Built for businesses that need AI-powered reporting without sending data to a third-party cloud.
Anthropic's reasoning model for document analysis, complex Q&A, and customer-facing AI workflows. Deployed via API or Azure.
Code generation and computer-use agents for automating repetitive desktop, browser, and back-office workflows.
Agent orchestration layer that connects multiple AI models to your data pipelines with routing, fallback, and rate control.
Runs Llama, Mistral, Phi, and other open-source LLMs entirely on your hardware. Your data never leaves your network.
Framework for building LLM-powered workflows connected to your databases, APIs, and document stores.
Indexes your business documents for semantic search and retrieval-augmented generation (RAG) — find anything in your internal knowledge base.
Investment
Projects scope to your actual use case. Most businesses start with a single workflow and expand from there.
| Engagement | Starting From | Typical Range |
|---|---|---|
| Local LLM setup | $5,000 | $5,000–$25,000 |
| Agent integration | $15,000 | $15,000–$80,000 |
| Full stack deployment | $50,000 | $50,000–$250,000+ |
| Hourly consulting | $147/hr | $147–$207/hr |
| OpenClaw workflow deployment | $5,000 | $5,000–$15,000 |
New clients receive a $500 credit toward their first invoice.
Infrastructure Stack
Open-source, containerized, auditable. No vendor lock-in — you own the stack.
| Layer | Technology |
|---|---|
| Local LLM Runtime | Ollama, vLLM, llama.cpp |
| API Proxy | LiteLLM (OpenAI-compatible) |
| Agent Orchestration | LangChain, Open Harness |
| Document Intelligence | LlamaIndex, pgvector, Qdrant |
| Cloud AI (opt-in) | Azure AI Foundry, AWS Bedrock |
| Containerization | Docker, Kubernetes |
| Open Models | Llama 3, Mistral, Phi-3, Gemma, DeepSeek |
30-Day Deployment
We scope tightly enough to ship one real workflow inside 30 days. No slide decks, no pilots that never end.
Week 1
We map the manual workflows, classify your data sensitivity, and choose the narrowest automation target worth shipping first.
Week 2
We select the deployment model (local, hybrid, or cloud), connect your business systems, and define the clean data layer the agent depends on.
Week 3
We deploy a working AI agent with live inputs, outputs, and the controls your team needs to trust and verify the results.
Week 4
We document ownership, human review checkpoints, and the improvement roadmap so the agent survives after we hand off.
Service Area
Common Questions
Not necessarily. We deploy local LLMs — including Ollama running Llama and Mistral — entirely on your hardware. Your invoices, customer records, and internal documents never leave your network. For tasks where cloud AI adds value, we use a hybrid model that routes only non-sensitive data externally.
Most businesses start with a hybrid approach: local LLM for sensitive operational data, cloud AI for general-purpose tasks. In week one we assess your workflows and data sensitivity, then recommend a split that balances privacy, cost, and capability.
We deploy OpenClaw-based agent workflows, Ollama or vLLM for local inference, LiteLLM as an OpenAI-compatible proxy, LangChain for workflow orchestration, LlamaIndex for document indexing and RAG pipelines, and Claude or Codex for specific reasoning and automation tasks. All containers run on Docker or Kubernetes. The stack is tailored to your use case in the first week.
Projects start from $5,000 for a focused local LLM deployment. A full AI agent integration with custom workflows typically runs $15,000–$80,000. Full-stack deployments with orchestration, RAG pipelines, and managed operations range from $50,000–$250,000+. Hourly consulting is $147–$207/hr. New clients receive a $500 credit toward their first invoice.
New to Chadsel?
New clients receive $500 toward any AI agent integration or managed IT engagement. Applied to your first invoice — no strings.