Custom AI systems, software, and automation
Build AI that works the way your company works.
Arrow AI designs custom AI systems, integrations, internal software, and automation flows that help teams move faster without changing how the business actually runs.
OpenAI
HubSpot
Salesforce
Shopify
Slack
Stripe
Connect disconnected platforms into one operational AI layer.
Ship copilots, portals, and tools employees actually use every day.
Automate repetitive execution without losing control or visibility.
Arrow services
From strategy to deployment, Arrow builds AI around the reality of your business
The page structure follows the modular rhythm of Criteo, but the story is reoriented around custom AI systems, integrations, software, and automation for companies that need something more specific than an off-the-shelf tool.
AI system design
Turn a company problem into a real AI product
We map goals, users, permissions, and operational constraints before we build the system, so the final product fits your company instead of forcing your company to fit the software.
System online
Knowledge, actions, routing, and approvals connected in one flow.
Automation design
Automate next steps across teams, tools, and channels
Arrow triggers actions across CRM, support, operations, and ecommerce systems so work moves automatically while humans keep oversight.
+81%
faster operational execution
+69%
less manual handling
What we build
Custom AI capabilities for different parts of the company
Sales systems
Lead qualification, account research, routing, and proposal preparation.
Support systems
Knowledge-aware agents, triage, summarization, and escalation workflows.
Operations systems
Approvals, data checks, process execution, and internal copilots.
Commerce systems
Catalog intelligence, merchandising, recommendations, and campaign automation.
Delivery model
100% custom implementation across software, integration, and automation layers Start a project“Arrow didn’t just add AI on top of our stack. They designed a custom system that connected our data, our approvals, and our workflows, then turned it into software our teams now use every day.”
Selected outcomes
Examples of how custom AI systems translate into real operating gains
Retail brand
Arrow built an internal AI assistant connected to product, support, and order data.
20% reduction in support handling timeB2B SaaS
A lead intelligence layer now enriches and routes inbound pipeline automatically.
138% increase in qualified meetingsOps team
Arrow replaced spreadsheet-driven workflows with approvals and AI actions in one portal.
+66% faster process completionArrow platform
Infrastructure for companies that need custom AI, not generic AI demos
Arrow combines retrieval, workflow logic, event processing, agent orchestration, internal software, and deployment safeguards into one system your company can grow on.
AI operating layer
One place for prompts, tools, actions, approvals, and system memory.
AI agents
Deploy assistants that can read, decide, and act with clear controls.
Knowledge engine
Ground outputs in your documentation, systems, policies, and data.
Software layer
Create portals, interfaces, and internal tools around the AI workflows.
Integration layer
Connect the AI system to the apps your teams already use.
Governance
Track prompts, actions, approvals, and access across the system.
Resources
Thinking, frameworks, and practical guidance for companies adopting custom AI
Arrow shares how to scope, deploy, and govern AI systems that support real company operations.
How to scope a custom AI system
Start with the process, the data, and the decision points before you choose the model.
Read guideWhen to build AI software vs add automation
Understand when the company needs a product, a workflow, or a simple integration layer.
Read frameworkDesigning multilingual AI for real teams
How to structure routing, approvals, and handoff in English and Spanish environments.
Read playbook