How is this different from a standard chatbot?

Standard chatbots follow a rigid script. Our workflow agents can use approved tools, follow defined business rules, and escalate when a request needs human review.

Is my business data safe?

Yes. We specialize in 'Self-Hosted' and 'Private Cloud' deployments. This means your agent runs in your secure environment, and your proprietary data is never used to train public models like ChatGPT.

How long does it take to implement?

A pilot workflow agent can be live in 2-4 weeks. Larger workflow automation systems typically take 8-12 weeks depending on the complexity of integrations required.

Intelligent Customer Support & Conversational AI

Support triage and repeat-answer automation with human handoff.

Order Status and Refund Triage

Connects to Shopify. When a customer asks 'Where is my order?', the workflow checks tracking and drafts a suggested reply. Refund responses follow approved policy rules and are routed to a human for review when needed.

HR Policy Assistant

Employees ask 'Is dental covered?'. The workflow searches the company handbook and returns the relevant section with a source link. Sensitive or unusual cases are routed to HR for review.

Support Knowledge Copilot

During a support call, the workflow listens for keywords like 'Error 505' and surfaces a suggested answer and link from the knowledge base. The human agent decides what to send.

Why Choose Us

Transforming your business with AI that actually works.

Faster Support Triage

Customers can get faster answers to repeat questions, while sensitive or unusual requests are routed to the right person.

Lower Support Load

Reduce support load by automating routine Tier-1 queries (refunds, status checks), freeing humans for complex issues.

Hyper-Personalization

The AI connects to your CRM to know every customer's history, offering personalized recommendations and context-aware help.

Our Process

From discovery to deployment in 4 simple steps.

Knowledge Audit

We ingest your PDFs, Help Center, and past tickets to teach the AI everything your best agent knows.

Integration Strategy

We connect the agent to your CRM (Zendesk, Salesforce) so it can actually perform actions, not just chat.

Guardrail Testing

We test against edge cases, policy-sensitive prompts, and escalation paths to reduce hallucination risk and keep responses inside approved boundaries.

Live Deployment

We launch in 'Draft Mode' first, then gradually automate responses once confidence is high enough for controlled rollout.

Technical Architecture

Built for developers, managed by AI.

Agent Configuration (preview)

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{
  "agent_role": "Customer_Success_Manager",
  "permissions": ["read_order_history", "process_refund"],
  "knowledge_base": ["s3://policy-docs/returns.pdf"],
  "guardrails": {
    "max_refund_amount": 150.00,
    "escalation_trigger": "sentiment_score < 0.3"
  }
}

Frequently Asked Questions

Common questions about AI customer support agents.

Why Choose Workflow Automation?

See how connected workflow agents compare to traditional solutions.

Feature	Standard Chatbot	Arbor Workflow Agents
Reasoning	Follows a fixed decision tree	Uses customer context within approved rules
Tool Use	Can only send links	Can prepare CRM updates and refund requests for review
Memory	Forgets context after session	Remembers customer history
Setup	Manual script writing	Learns from your knowledge base

Ready to automate this?

Let's discuss how we can build a custom AI customer support agents solution for your specific business needs.

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