Powerhouse
Architecture

Architecture for owned AI workflow software.

Powerhouse turns private operational work into structured, inspectable software. The named components below support that outcome; they are not the homepage story on their own.

Brand roles

One platform, one delivery path, one deployment layer.

Powerhouse

Open-source platform

The foundation for building owned operational software from typed workflow objects, operation history, APIs, and user-facing workspace surfaces.

BAI

First-workflow delivery team

The delivery team behind the first workflow engagement: operating model, first deployment, and handover.

Vetra

Tooling and deployment layer

The environment for packaging modules, deploying Powerhouse software, and operating cloud or self-hosted deployments.

System flow

From scattered private work to governed AI assistance.

The architecture is easiest to understand as a sequence: connect the sources, structure the workflow, scope AI assistance, then keep humans accountable for decisions.

01

Existing systems

Documents, email, spreadsheets, ERP, HRIS, finance tools, identity, storage, and line-of-business systems.

02

Structured workflow layer

Typed objects, valid operations, permissions, approval gates, and event history define how the work can move.

03

Scoped AI assistance

AI can extract, classify, compare, draft, and flag within the workflow boundary it has been granted.

04

Human operation

Operators work in the same software surface, approve consequential actions, and retain accountability.

Supporting components

Component names belong here, after the workflow is clear.

Switchboard

API and integration boundary

Connects existing systems to Powerhouse through scoped APIs and integration surfaces. It defines what enters the workflow layer and what each actor can access.

Connect

Operator workspace

The browser workspace where teams review, edit, approve, and operate structured workflow objects with real-time collaboration.

Clint

AI agent infrastructure

Runs workflow-specific AI assistance through bounded tools, process playbooks, model choices, and escalation rules.

Renown

Identity and attribution

Governs human users, agents, integrations, and permissions so operations can be attributed to the actor that performed them.

Fusion

Custom software surface

Turns the workflow layer into branded internal or external applications, dashboards, reports, and role-specific portals.

Vetra

Deployment tooling

Packages, hosts, and operates Powerhouse modules and deployments across cloud or self-hosted environments.

Ownership model

The architecture is designed to keep exit paths open.

Every engagement still needs environment-specific review, but the default design goal is practical ownership rather than dependency on a single vendor interface.

Deployment

Cloud, private cloud, or self-hosted options depending on workflow sensitivity.

Data model

Typed schemas and portable JSON data instead of proprietary workflow records.

Model choice

Local or commercial models can be selected by workflow boundary and data sensitivity.

Auditability

Operation history is part of the workflow state, with human and AI-assisted actions attributable.

Adoption path

Start beside existing systems; move one private workflow into owned software first.

Start with the boundary

Assess the first private workflow before choosing components.

We identify the workflow, source systems, approval model, data boundaries, and deployment path. Component choices follow from that assessment.

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