Arrow 
When should a company build instead of buying?
Build when the workflow is specific, the data is private, the process touches multiple tools, or the team needs a controlled experience. Buying a SaaS tool can work for a generic task. Custom AI makes sense when the system needs to understand your products, policies, customers, documents, approvals, and business logic.
What Arrow AI usually builds
- Internal AI copilots connected to company knowledge and actions.
- AI interfaces for ecommerce, support, sales, and operations.
- Automations that enrich data, draft decisions, route tasks, and update systems.
- Governance layers with visibility, approvals, logs, and escalation rules.
How to scope the first version
Start with one workflow, one user group, one data source, and one measurable outcome. The first version should prove that AI can reduce time, improve quality, capture more demand, or remove manual repetition. After that, the system can expand into more integrations and more teams.
Put it into practice
Reading is step one. The audit is step two.
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