Hire your AI team.
Build a private AI workforce from ready-made roles — support, documents, finance, coding, hospitality and operations. Each agent is wired into the tools you already use and runs on infrastructure you control: a private box, your own cloud, or hybrid.
Customer Support Agent
Answers customers over your docs, drafts replies, triages tickets.
What it does
- ▸Reply drafting in your tone
- ▸Knowledge-base and FAQ answering (RAG)
- ▸Ticket triage, tagging and routing
- ▸Deflection of repetitive questions
Connects to
Open models that suit it
Open models in the library that suit this role: 19.
Document / RAG Agent
Reads contracts, reports and wikis and answers with citations.
What it does
- ▸Answers from your documents, contracts and wikis with citations
- ▸Retrieval over a private knowledge base (RAG)
- ▸Summarization and cross-document Q&A
- ▸Keeps source material on infrastructure you control
Open models that suit it
Open models in the library that suit this role: 40.
Legal Evidence Agent (DocMatch-style)
Searches case files and exhibits to surface and link evidence.
What it does
- ▸Evidence and exhibit search with cited passages
- ▸Contract and clause Q&A across matters
- ▸Discovery review and summarization
- ▸Privileged-material assistants that never leave the office
Connects to
Open models that suit it
Open models in the library that suit this role: 15.
Hotel / Hospitality Agent
Handles guest messaging, bookings and front-desk automation.
What it does
- ▸Multilingual guest messaging across channels
- ▸Booking, amenity and local-recommendation answers
- ▸Upsell and review-response drafting
- ▸Front-desk task routing and shift handover summaries
Connects to
Open models that suit it
Open models in the library that suit this role: 12.
Accounting / Odoo Agent
Extracts invoices, reconciles data and drives ERP workflows.
What it does
- ▸Invoice and receipt extraction to structured data
- ▸Bank and ledger reconciliation
- ▸Odoo / ERP workflow automation
- ▸Month-end close assistance
Connects to
Open models that suit it
Open models in the library that suit this role: 17.
Coding / Product Engineering Agent
Local code completion, review and refactoring on private source.
What it does
- ▸Code completion, review and refactoring on private repos
- ▸Pull-request explanation and test generation
- ▸Issue triage and release-note drafting
- ▸Engineering ops assistants for a team
Connects to
Open models that suit it
Open models in the library that suit this role: 25.
Founder Ops / Business Command Center
A fleet of cooperating agents running the whole business privately.
What it does
- ▸Cross-functional agents (support, ops, finance, engineering)
- ▸High-throughput concurrent serving for a team
- ▸Longer-context planning and reporting agents
- ▸On-prem deployment for full data control
Open models that suit it
Open models in the library that suit this role: 13.
Run your agents anywhere
The same agents run on a private box on-site, an on-prem server, your own cloud GPUs, or a hybrid of all three — you choose the balance of privacy, cost and scale.
Local appliance
A quiet box on-site running your agents. Lowest cost per request and full data residency for a single office or property.
Best for: SMBs, single sites, confidential data, predictable everyday workloads.
On-prem server
A workstation or server in your rack or closet, serving many agents and larger models to a whole team or department.
Best for: Departments, regulated data, high steady volume, multi-agent platforms.
Cloud GPU
Rented GPUs in your own cloud account for bursts, the largest models, or before you've validated volume — no hardware to own.
Best for: Spiky demand, frontier models, pilots, overflow capacity.
Hybrid
Everyday private agents run locally; heavy or occasional jobs burst to the cloud. The pragmatic default for most businesses.
Best for: Most real deployments — control and cost locally, elasticity in the cloud.
Why a model alone isn’t a team
A GPU runs the model. Turning that into agents you can trust with real work takes permissions, tools, connectors, retrieval, confirmations, audit and orchestration — the operating system layer BrainOutput provides.
Agents need scoped access — who can ask what, which data and actions each role may touch. A raw model has none of this.
Real work means doing things: creating an invoice, replying to a guest, opening a ticket. The OS gives agents safe, typed tools.
Business value lives in Odoo, Stripe, WhatsApp, GitHub, Zendesk and the rest. The OS connects agents to the systems you already run.
Agents must answer from your documents, not their training data. Retrieval over your private knowledge base is built in.
High-stakes actions should pause for approval. The OS adds confirmations and review steps so agents are safe to deploy.
Every action is logged and reviewable — essential for finance, legal and regulated work, and for trusting agents over time.
Most jobs are multi-step and multi-agent. The OS orchestrates them reliably instead of relying on one prompt to do everything.
Frequently asked questions
What is an AI agent in BrainOutput?+
An agent is a worker for one role — support, documents, finance, coding or operations — not just a chatbot. Each runs an open model behind scoped permissions, typed tools and the connectors it needs to do real work, with confirmations and an audit log.
Can the agents run privately on my own hardware?+
Yes. Every agent can run on open-weight models you self-host on a private box, on-prem server or your own cloud account, so customer, financial and legal data never leaves infrastructure you control. You can also run hybrid — local by default, bursting to the cloud for the largest models.
Which agent should I start with?+
Customer support and a private team chatbot are the most forgiving on hardware and the most common first deployment. Coding, accounting and legal-evidence agents want a stronger machine. You can start with one role and grow into a full AI team.
Do the agents connect to the tools I already use?+
Yes — agents ship as packs wired into the systems each function lives in: Gmail, Drive, Odoo, Stripe, WhatsApp, Slack, GitHub, Zendesk and more. That is what lets them do work instead of only answering questions.
Build your private AI team with BrainOutput
Start with one agent, connect your tools, and grow into a full private AI workforce on infrastructure you control.
Build my AI team