— AI Integration —
AI that runs on your stack, not someone else's.
Custom integrations, self-hosted LLMs, retrieval over your own documents, and automation pipelines that don't ship your data to vendors you've never heard of. Built and deployed by an infrastructure team that runs a homelab for a living.
— What we build —
Four shapes the work usually takes.
i.
API integrations
Claude, OpenAI, and other LLM APIs wired into your existing tools — CRM, helpdesk, email, internal apps. Document summarization, customer-intake triage, drafting workflows.
ii.
Retrieval-Augmented Generation
Search and Q&A over your own documents — SOPs, contracts, knowledge bases. On-prem or cloud. We pick the embedding model and vector store that fit your data, not the trendy one.
iii.
Self-hosted LLMs
Local model deployment via Ollama, vLLM, or llama.cpp when data residency or cost demands it. We size the hardware honestly and tell you when the cloud is the right call.
iv.
MCP servers
Custom Model Context Protocol servers so Claude (or other MCP-aware clients) can read and write your tools and data directly. Especially useful for ops, support, and internal automation.
— Engagement tiers —
Start with a conversation. Pay only after scope is fixed.
Discovery
A scoping call. Honest assessment, no pressure.
- Scoping call to understand the workflow, current tooling, and what 'done' looks like
- Honest assessment of whether AI is even the right answer (sometimes it isn't)
- Written 1-page scope sent within 48 hours
Project
Fixed-scope integration build. One workflow, one outcome.
- Fixed-scope integration build (one workflow, one integration target)
- API key management, error handling, logging
- Deployment to your infrastructure or ours
- 30-day post-launch support
- Typical examples: customer-intake AI, internal document Q&A, automated drafting pipeline
Ongoing
For iteration, new integrations, and operational care.
- Hourly for ad-hoc work and iteration
- Monthly retainers available starting at $2,000/mo (15 hours)
- Prompt-engineering tuning, new integration additions, cost optimization
- Cost and error monitoring; quarterly model/prompt review
— How it works —
Four steps from first call to live integration.
i.
Discovery call
30 minutes. We understand the workflow, the people involved, and what success looks like. If AI isn't the right answer, we tell you.
ii.
Written scope
Within 48 hours, you get a 1-page scope with a fixed price, timeline, and the assumptions we're making. You approve before any build work starts.
iii.
Build and deploy
Typically 2–4 weeks for a project-tier engagement. You see progress weekly. Iterations happen against real data, not synthetic test cases.
iv.
Handoff and support
Documentation, a runbook for the operator on your side, and 30 days of post-launch support included. Retainer available afterward if you want ongoing help.
— Scope of practice —
What we don't do.
We don't sell AI strategy decks, build agents that take actions in production without human review, deploy models we haven't tested against your actual data, or quote prices before we understand the workflow. We also don't guarantee specific business outcomes from an AI integration — what we guarantee is that what we build does what we said it would.
— Common questions —
Answered before you ask.
— Next step —
Have a workflow that's costing you hours?
Book a 30-minute discovery call. We'll figure out whether AI is the right answer — and tell you honestly if it isn't.