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AI Agents · 24/7 · Multi-channel

AI Agent for Your Business
Sales, Support & Automation 24/7

Custom AI agent trained on your knowledge base. Answers questions, qualifies leads, guides customers through purchase, schedules meetings, and triggers internal workflows — without human intervention.

Handles →SalesSupportLead QualMeetingsWorkflows
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Web14:20

Customer

Looking for a CRM for a 12-person agency

Agent · ✓

I'll qualify quickly & book a demo.

Meeting booked
WhatsApp14:21

Customer

Where's order #1247?

Agent · ✓

Out for delivery — tomorrow by 6pm.

Status sent
Slack14:22

Customer

How do I rotate API keys?

Agent · ✓

Here's the guide + ticket opened.

Ticket created
Actions today · Leads ✓ 12 · Meetings ✓ 9 · Tickets ✓ 18Multi-lang
SYS · 02What is an AI agent? (And how is it different from a chatbot?)

What is an AI agent?
And how is it different from a chatbot?

Most businesses have encountered basic chatbots — the pop-up widgets that respond with a fixed menu of options and fall apart the moment a customer asks anything outside the script. An AI agent is a fundamentally different category of technology.

Where a traditional chatbot follows rigid, rule-based decision trees, an AI agent understands natural language, learns from your business content, and holds contextual conversations that actually move customers forward. It doesn't just answer questions — it qualifies leads, recommends products, walks users through checkout, schedules meetings, and triggers backend workflows, all without human intervention.

Think of it as a member of your team that never sleeps, handles hundreds of conversations simultaneously, and knows your entire product catalog, pricing, and support documentation by heart.

For businesses looking to boost sales, automate live chat, and deliver consistent customer support at scale, an AI agent for your website isn't a luxury — it's quickly becoming the baseline expectation.

/01 · Traditional chatbot×
How can I help?

Choose:

1) Sales2) Support3) Other

✕ Off-script → fails

/02 · AI Agent
Looking for a CRM for a 12-person agency, around $50/mo budget.
Got it — I'd recommend HubSpot Starter. Want me to book a 20-min demo with your sales lead this week?
Meeting booked · Thu 14:00
SYS · 03Top 5 benefits

Top 5 benefits of using an AI agent for sales & support

  1. /01

    Automate Lead Generation and Qualification 24/7

    Most website visitors arrive outside business hours, or leave before a human agent becomes available. An AI sales agent eliminates that gap entirely. It engages every visitor the moment they land, asks the right qualifying questions, and routes high-intent leads directly to your sales team — complete with context about what they were looking for.

    For companies running paid traffic or inbound marketing campaigns, this alone can significantly increase the return on existing spend. You're capturing leads that were previously leaving without a trace.

  2. /02

    Increase Conversions with Instant Product Recommendations

    Conversational AI changes the dynamic of the buying journey. Instead of asking a visitor to navigate a product catalog themselves, an AI agent for eCommerce can ask what they're looking for, surface the most relevant options, handle objections in real time, and guide them through to purchase — functioning as a smart AI chat bot that adapts to each individual visitor.

    Studies consistently show that response time is one of the strongest predictors of conversion. An AI agent responds in seconds, every time, regardless of traffic volume.

  3. /03

    Reduce Support Overhead Without Reducing Quality

    A significant portion of customer support queries are repetitive — order status, return policies, pricing questions, technical documentation. An AI agent handles this entire tier of support automatically, freeing your human team to focus on the complex, high-value interactions that genuinely require their expertise.

    The result is faster response times, higher customer satisfaction, and a leaner support operation that doesn't need to grow linearly with your customer base.

  4. /04

    Operate Across Every Channel from One System

    Your customers aren't all on your website. An AI agent for WhatsApp, integrated with your website agent and CRM, means the same conversation context follows a customer regardless of where they reach out. One system, one knowledge base, consistent brand tone across every touchpoint.

  5. /05

    Clean CRM Data and Automated Workflows

    Every conversation an AI agent handles generates structured data. Lead qualifications, support resolutions, product interests, and customer intent signals flow automatically into your CRM, trigger follow-up sequences, create support tickets, and update records — without manual data entry.

SYS · 04Beyond sales · Superior customer support

Beyond sales:
AI agents for superior customer support

Customer support is where AI agents deliver some of their most measurable business impact. The challenge most growing businesses face isn't the complexity of customer questions — it's the volume. As the customer base scales, support costs scale with it, and response times suffer.

An AI agent deployed for customer support handles frequently asked questions instantly, across multiple languages, without requiring additional headcount. It can access your full knowledge base, documentation, and product information to give accurate, specific answers rather than generic responses.

For queries that require human escalation, the agent handles the triage — gathering the relevant information, categorizing the issue, and passing a complete context summary to the appropriate team member. The human agent picks up a fully contextualized ticket rather than starting from scratch.

Across multiple channels — your website, WhatsApp, Slack, or Teams — the agent maintains conversation history and brand consistency. Customers get the same quality of response at 2am on a Sunday as they do during peak business hours. That consistency has a direct impact on customer satisfaction rates and long-term brand loyalty.

Tier-1 support · Automated

~70%

Of repetitive queries (order status, returns, pricing, docs) handled instantly by the agent.

Escalation · Contextualized

Human picks up
a fully contextualized ticket.

Not from scratch.

SYS · 05Use cases · From eCommerce to real estate

Use cases:
From eCommerce to real estate

/01

eCommerce

Product discovery, cart, and support

For online stores, an AI agent touches every stage of the customer journey. At the top of the funnel, it engages browsers and surfaces relevant products based on stated preferences. In the middle of the funnel, it answers product questions, handles objections, and adds items to cart. At the bottom, it assists with checkout friction and captures abandonment before it happens.

Post-purchase, the same agent handles order tracking queries, return requests, and product support — dramatically reducing the volume hitting your human support queue. For Shopify stores and broader eCommerce operations, this translates directly into higher average order value and lower support cost per transaction.

/02

Real Estate

AI agents for real estate

In real estate, response speed is directly correlated with lead conversion. A prospect enquiring about a property at 9pm expects a response — and if they don't get one, they move to the next listing. An AI agent qualifies the lead, captures their requirements, answers questions about the property, and books a viewing, all without agent involvement until the meeting is confirmed.

/03

SaaS

AI agents for SaaS and service businesses

For SaaS companies and professional service providers, AI agents handle onboarding support, technical FAQs, trial-to-paid conversion flows, and meeting scheduling. They integrate directly with CRM and helpdesk systems to ensure every interaction is captured and followed up correctly.

Case file · 002 · Scaling technical supportGlobal embedded electronics · 1,000+ productsClosed

Scaling technical support for 1,000+ products

A global leader in embedded electronics development was facing a growing challenge: a product catalog spanning more than 1,000 SKUs, each with complex technical documentation, and a support team unable to keep pace with incoming queries.

We implemented a custom AI agent trained on their full technical knowledge base — product datasheets, integration guides, troubleshooting documentation, and support history. The agent handled first-line technical queries across multiple languages, escalated complex cases with full context, and integrated with their existing ticketing system.

Metric · /01

↓ first-response

Measurable reduction

Across all support tiers

Metric · /02

↓ ticket volume

Reaching humans

Significant drop

Metric · /03

× languages

Consistent accuracy

Across every interaction

All at a fraction of the cost of scaling the support team.

SYS · 06Essential features · 08

Essential features of a high-performing AI agent platform

Not all AI agents are built the same. When evaluating an AI agent solution for your business, these are the capabilities that determine real-world performance.

/NLP

Natural Language Processing & Contextual Understanding

The agent must understand intent, not just keywords. A customer asking "do you ship to me?" and "what are your delivery options?" are asking the same thing differently. Weak NLP fails one of them.

/DATA

Training on Your Data

The agent should be trainable on your specific knowledge base: your website content, product documentation, FAQs, CRM records, and external sources. Generic AI knowledge is not a substitute for business-specific accuracy.

/INTG

CRM and Tool Integration

A lead generation chatbot that doesn't connect to your CRM is generating data with nowhere to go. Look for native integrations with your existing stack — CRM, helpdesk, calendar, payment, and marketing automation tools.

/CHAN

Multi-Channel Deployment

Website, WhatsApp, Slack, Teams. Your AI agent should operate consistently across the channels your customers actually use, with shared context and conversation history.

/DATA

Analytics and Conversation Insights

You should be able to see what customers are asking, where conversations drop off, which queries the agent can't resolve, and how the agent is performing against business metrics.

/MULT

Multilingual Support

For businesses operating across markets, the agent should handle multiple languages without separate configurations.

/FLOW

Workflow Triggers and Actions

Beyond answering questions, a high-performing agent should be able to take actions: create tickets, send emails, update CRM fields, trigger automation sequences, and book meetings.

/SEC

Data Security and On-Premise Options

For regulated industries, the ability to deploy on-premise or within a private cloud environment is non-negotiable.

SYS · 07Implementation · 04 steps · 2–4 weeks

How to implement an AI agent on your website

Implementing Asarum Tech's AI agent — step by step. Getting an AI agent live on your website doesn't require a technical team or months of setup.

Step 01

Free Consultation

A short discovery call to understand your business goals, the channels you operate on, the volume and type of customer interactions you handle, and what a successful implementation looks like for your team.

Step 02

Solution Proposal

We map your data sources, integration requirements, and conversation flows. You receive a clear proposal outlining the agent architecture, training approach, integration points, and implementation timeline — before any work begins.

Step 03

Training and Implementation

We train the agent on your knowledge base, configure integrations with your existing tools, and build the conversation flows aligned to your use cases. The agent goes through testing and refinement before deployment.

Step 04

Deployment and Production Support

The agent goes live on your website and connected channels. We handle deployment, monitor performance, and provide ongoing support and optimization as your business evolves.

Most implementations are live within two to four weeks. Setup requires no technical expertise from your side.

SYS · 08Why Asarum Tech

Why choose Asarum Tech
for your AI agent solution?

We build custom AI agents, not templated products. Every implementation is designed around your specific business — your knowledge base, your tone, your workflows, and your existing technology stack.

We handle the full process: agent design, data training, integration, deployment, and ongoing maintenance. You don't need a technical team or an internal AI specialist. You need a clear brief and a willingness to improve how your business handles customer conversations.

Our clients range from global technology companies managing complex technical support to eCommerce businesses using conversational AI to increase conversions and automate live chat. The common thread is that the agent becomes a functional, reliable part of their operation — not a widget that gets ignored.

Custom-built

Designed around your business, not a template

/01

End-to-end

Design → train → integrate → deploy → maintain

/02

No tech team needed

You bring the brief, we handle the rest

/03

Functional, not decorative

Becomes a reliable part of operations

/04
SYS · 09Frequently asked questions

Frequently asked about AI agents

A traditional chatbot follows fixed decision trees and breaks down outside of predefined options. An AI agent understands natural language, maintains conversation context, learns from your business data, and can take actions — qualifying leads, booking meetings, updating CRM records — not just answer questions.
24/7 · Live · Ready

Your team that never sleeps.

A short discovery call. A custom AI agent for your knowledge base, your tone, your workflows. Live in two to four weeks.

Asarum Tech · Custom AI agents · Sales · Support · Automation
AI Agent for Your Business — Sales, Support and Automation 24/7 | Asarum Tech