Services: from first diagnostic to AI that runs in your business
We do three things, and we do them end to end: we integrate the BrainOutput platform and its add-ons into your tools, we build AI automation around your processes, and we start where it makes sense to start — with an AI diagnostic that tells you honestly where AI will pay off and where it will not.
01
Integration
The BrainOutput platform and add-ons, installed and connected to your tools.
We install BrainOutput on your own hardware or in a private cloud, connect it to the tools your team already uses — email, phone system, document management, practice software — and stay until your team works with it every day. Law firms, accountants, hotels and small businesses run on different systems; the integration is done on yours.
What you get
- A running BrainOutput platform on your hardware or private cloud, with the add-ons you chose
- Connectors to your existing tools, configured with your confidentiality routing policy
- Your models in place: local open-weight models, your own cloud keys (BYOK), or both
- Onboarding and training for your team, in the chat they will actually use
- Support from the team that built the system
How it runs
- 1. Scoping
We map your tools, your data and what must never leave the building. You receive a written scope and a quote.
- 2. Installation
We provision the machines or the private cloud, install the platform and connect your tools.
- 3. Adoption
We train your team on real work — your first use cases, on demo data first, then live.
- 4. Run
We stay available: support, adjustments, and new capabilities as your usage grows.
02
AI automation
Any AI automation project, built with the same stack.
Beyond the platform and its add-ons, we design and build custom AI automation: document workflows, inbox and phone automation, reporting, internal tools. It runs on the same private, LLM-agnostic stack, so nothing you build with us locks you into a vendor.
What you get
- A working automation, running in your environment, scoped and quoted per engagement
- The same guarantees as the platform: confidentiality routing, audit trail, no lock-in
- Documentation your team can maintain, and handover to the people who will run it
How it runs
- 1. Framing
We define the one process to automate, the measure of success, and what stays confidential.
- 2. Build
We build in short increments you can test, on your data where policy allows, on demo data otherwise.
- 3. Handover
We deploy, document and hand over — with support agreed per engagement.
03
AI diagnostic
Where AI actually pays off in your processes — a prioritised, honest plan.
The AI diagnostic is our entry offer, and it is deliberately not a sales pitch for the platform. We assess your processes, find where AI can genuinely help, and tell you where it cannot. You leave with a plan you can execute with us, with another provider, or internally.
What you get
- A written assessment of your processes: where AI pays off, ranked by impact and effort
- A confidentiality map: which data and processes must stay private, and what that implies
- Quick wins you can start immediately, and the ones that are not worth doing
- A realistic roadmap with options — on-premise, private cloud, or mixed
- A presentation of the findings to the people who decide
How it runs
- 1. Request
You request a diagnostic and tell us about your business in a few lines.
- 2. Discovery
We interview the people who do the work and map the processes as they really are.
- 3. Analysis
We assess each process for AI potential, feasibility and confidentiality constraints.
- 4. Report
You receive the written, prioritised plan and we walk you through it.
No public prices: every engagement is scoped and quoted individually. The diagnostic is quoted up front, before any work starts.
Start with the diagnostic
Tell us about your processes in a few lines. We come back with how a diagnostic would run for you — and an honest first read of where AI can help.