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CRM AI Agents.
Automate Every Touchpoint.
Deployed in Days.
From lead qualification to support tickets — we build AI agents that nurture relationships, close deals, and delight customers 24/7.
Trusted by innovative teams building with AI






"If you're looking for a team that can support you, help scale your product, and be a true technical partner, slashdev.io is the way to go. Features that took months to finish are getting done in days. They have completely changed my business!"
Support doesn't scale
Growing companies struggle to maintain quality as ticket volume increases
Long Wait Times
Customers wait hours for simple answers, damaging satisfaction.
Staffing Costs
24/7 coverage requires expensive night shifts and global teams.
Knowledge Gaps
New agents take months to learn products and policies.
Inconsistent Quality
Response quality varies widely between agents and shifts.
AI-first customer support
Intelligent agents that handle volume while humans focus on complex issues
Natural Conversations
AI agents understand context, sentiment, and intent—responding naturally like your best support reps.
Knowledge Integration
Trained on your documentation, policies, and past tickets to give accurate, consistent answers.
Smart Escalation
Automatically routes complex issues to human agents with full context and suggested solutions.
Instant Resolution
Takes action on accounts—refunds, order changes, password resets—without human intervention.
Multilingual Support
Supports 50+ languages with native-quality responses, expanding your global reach instantly.
Omnichannel Presence
Deploy across chat, email, phone, and social with consistent quality and unified history.
From ticket to resolution
A seamless flow that resolves most issues without human intervention
Intent Recognition
The agent analyzes the customer's message to understand intent, sentiment, and urgency—even handling typos and colloquial language.
// Customer: "cant find my order!!!"
{
intent: "order_status",
sentiment: "frustrated",
urgency: "high",
entities: {
type: "order",
action: "locate"
},
confidence: 0.96
}Context Retrieval
The agent pulls relevant information from your systems—order history, account details, previous conversations—to provide personalized responses.
// Fetched context: → Customer: John Doe (Premium) → Order #45892: Shipped 3 days ago → Carrier: FedEx, tracking shows delay → Previous tickets: 0 complaints → Account credit: $0 // Suggested actions: → Track shipment status → Offer expedited replacement → Apply goodwill credit
Resolution & Action
Based on policies and context, the agent takes action—processing refunds, updating orders, or providing accurate information—all automatically.
// Actions taken: ✓ Initiated replacement shipment ✓ Upgraded to express delivery ✓ Applied $20 account credit ✓ Sent confirmation email ✓ Updated CRM notes // Resolution: Auto-resolved // Time: 45 seconds // Cost: $0.02 (vs $8 human agent)
Learning & Escalation
Complex issues route to humans with full context. Every interaction improves the model, making the agent smarter over time.
// Escalation triggers: → Legal/compliance issues → VIP customer requests → Low confidence (<0.8) → Negative sentiment + high value // When escalating: → Full conversation history → Suggested resolution → Similar past tickets → Customer lifetime value
Agent architecture
How we build support agents that scale with your business
support_agent:
name: "CustomerCare AI"
channels: [chat, email, phone, social]
languages: 50+
availability: "24/7"
knowledge:
sources: [docs, faqs, past_tickets]
refresh: "hourly"
integrations:
crm: "salesforce"
orders: "shopify"
payments: "stripe"
actions:
- refund_order
- update_shipping
- reset_password
- apply_credit
escalation:
conditions: [low_confidence, vip, legal]
routing: "skill_based"Knowledge Base
Continuously indexed documentation, FAQs, and past tickets ensure accurate, up-to-date responses.
System Integration
Direct API connections to your CRM, order system, and payment processor enable real actions.
Smart Routing
Skill-based escalation ensures complex issues reach the right human specialist with full context.
Continuous Learning
Every resolved ticket improves accuracy. Human corrections train the model automatically.
Impact on support teams
Metrics from companies using our customer service agents