Commercial AI systems

Turn repetitive work into operating leverage.

ALOS is designed for companies that need AI to do measurable work—not just answer questions. We design bounded workflows, connect the required tools, execute through browser/API/compute lanes, and attach evidence to outcomes.

Request a Pilot →See engagement optionsWatch ALOS WorkReview proof
Ways to work together

Start small. Prove ROI. Expand.

The commercial path is intentionally simple: identify one valuable workflow, prove it end-to-end, then turn it into a maintained operating capability.

Entry offer

AI Automation Audit

Map one business process and identify where AI, browser automation, APIs or agent workflows can remove manual work.

  • Workflow breakdown
  • Automation opportunities
  • Integration map
  • Risk and approval boundaries
  • Recommended pilot
Build offer

AI Agent Pilot Sprint

Build and prove one workflow from request to action to evidence before expanding the scope.

  • Agent orchestration
  • Browser/API execution
  • Human approval gates where needed
  • E2E proof and failure handling
  • Deployment-ready handoff
Recurring offer

Managed AI Operations

Operate, maintain and improve production workflows as an ongoing managed automation layer.

  • Monitoring and incident handling
  • Model/provider routing
  • Workflow improvements
  • Evidence and audit trails
  • Recurring optimization
Engagement model

From business problem to verified execution.

Every stage has a bounded objective and a proof requirement so activity does not get mistaken for completion.

1Business problemDefine the expensive manual work.
2Workflow designInputs, rules, tools and boundaries.
3PilotOne narrow real-world execution path.
4VerificationCheck result and attach evidence.
5ProductionHarden failure handling and controls.
6Managed opsMaintain and expand what works.
Public examples

Proof-backed product work.

These are public project lanes, not claims of customer results. They demonstrate the architecture and operating patterns available for commercial work.

ALOS

Governed agent operations

Problem
AI execution needs boundaries, routing and evidence.
Built
Orchestration, queueing, compute routing, result verification and public/private separation.
Pigeon

Public AI without private exposure

Problem
Offer a usable AI surface while isolating privileged tools and private state.
Built
Cloudflare Workers AI runtime, rate limiting and public/private boundaries.
Veridara

Evidence-first verification lane

Problem
AI claims are weak without traceable inputs and acceptance rules.
Built
Source-aware, evidence-oriented project lane under ALOS governance.

Have a workflow worth automating?

Start with one valuable process. The first goal is not a giant AI transformation—it is one verified workflow that saves time, removes repetitive work or improves response speed.

Request a Pilot →See live proofEngineering profile