Eight Mile · AI integration · AI agents and assistants
Agents that do the work, and know when to stop.
An assistant that answers from your own documents, or an agent that reads a request, decides which tool to reach for, calls your system and hands the conversation to a person when it should. Built as software: typed decisions, logged steps, and an engineer responsible for every line.
What we build
AI agents and assistants, built as software.
Assistants on your own knowledge
Customer-facing or internal, answering from your policies, tickets and documents rather than the open internet, and quoting where each answer came from.
Triage and routing
A first step that decides what a conversation is about and who should answer it — a specialist agent, a queue or a person — as a typed decision rather than free text.
Tool-calling agents
Agents that look up an order, draft a reply, book a slot or raise a ticket through your own API, each tool scoped to what that agent is allowed to do.
Handoff to a person
When the agent is unsure, the request is sensitive or the customer asks, the conversation moves to a person with its history attached, instead of the agent guessing.
How it works
The same steps, in the order they run.
01
Classify
A small, fast model reads the message and returns a structured decision: which specialist, how urgent, whether a person is needed.
02
Retrieve
The specialist pulls the documents and records that matter to this conversation, and nothing from the conversation next to it.
03
Act
It answers, or calls a tool against your system with arguments that are validated before they are sent.
04
Record
Every step — input, decision, tool call, output — is written to a log keyed by conversation, so any answer can be read back and replayed.
Controls
What makes it safe to ship.
Decided before the first prompt is written, and tested like the rest of the code.
Guardrails on the way in
Prompt-injection and abuse checks before a message reaches a model, cheapest first, so a hostile prompt is stopped before it costs anything.
Guardrails on the way out
The answer is checked before it is sent: personal data, off-topic content, and promises the business does not make.
Memory per conversation
State is kept per thread in durable checkpoints, so a conversation can resume and one customer’s context never reaches another’s.
Scoped tools
Each agent sees only the tools it needs, and anything that changes data can be made to wait for a person’s approval.
Proof
Where you can see it working.
Our own products, each with a page of its own that shows how it is built.
Straight answers
The questions people ask about it.
The rest of our AI work
Next step
Tell us which conversations you want handled.
Describe the requests that arrive, who answers them today and what they look up to do it. We will tell you which parts an agent should take and which should stay with a person.