Summarization, extraction, drafting, and scoped assistants, built into your product with structured outputs. Every deploy is gated by eval suites and held to cost and latency budgets. Honest fallbacks cover the times the model is wrong, slow, or down.
Q&A and search over your own documents, with grounding and citations. Scoping is honest here: retrieval quality is a data-cleanup problem before it is a model problem. We tell you which one yours is on the scoping call.
Internal workflows where AI drafts and humans own the result: classification, routing, and report generation. We apply the aiautomation playbook from our network to your operations, with logging and a named owner.
We wire models to your tools and data, including MCP server development for your internal systems. That work is built to the least-privilege and evaluation standards our aimcp.io reference documents in public.
Yours where it exists, and boring-and-proven where it does not. We pick mainstream model APIs per task, not per fashion, and run on standard cloud infrastructure with MCP for tool integration where it fits. We use your existing databases and auth rather than parallel shadow systems. Model choice is an engineering decision, and we document the tradeoffs. The eval harness picks the model, not the announcement cycle.
We refuse customer-facing AI with autonomous authority over money, accounts, or commitments. We refuse systems whose failure mode is silent, with no logging and no review. We also refuse scraping schemes against terms of service. And we refuse anything designed to pass AI output off as human judgment in regulated contexts. This refusal list is the same one our whole network operates under, applied to code.
You own everything: the code sits in your repos and the infrastructure in your accounts. Documentation is written for the next engineer, not for us, and the eval suites gate future changes. Handover is a deliverable with its own acceptance criteria. A consultancy your systems cannot survive leaving is a dependency, not a vendor.