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AI-Driven Customer Support Chatbots

Deploy 24/7 customer support chatbots with GPT-5 tool use, OpenAI function calling, Claude 4.6, and Pinecone vector search for seamless, context-aware engagement.

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Conversation trace

TranscriptWhatsApp
  1. customer

    Where is my order? It was due yesterday.

  2. agent

    It is out for delivery, due today by 6 pm.

    order.status
  3. customer

    Can I change the address?

  4. agent

    Yes. I sent a secure link to update it.

    address.update_link
Illustrative. A support chat: customer turns, agent replies and the tool calls behind them.

Outcomes & Proof Points

Real, measurable impact on support performance, customer satisfaction, and operational efficiency.

First response time

Drops from minutes to seconds with 24/7 answers.

Ticket deflection

Deflect repetitive queries while keeping CSAT strong.

Grounded answers

Responses cite your docs and approved sources.

Agent handoff

Seamless escalation with summaries and full history.

Continuous learning

Weekly updates from real conversation data.

Common Use Cases

  • Account questions & order status

    Check status, change address, cancel orders with safe audit logs.

  • Returns & warranty

    Guide users, create tickets, and schedule pickups effortlessly.

  • Billing & subscription

    Answer invoices, renewals, plan changes, and refunds with fallback paths.

  • How-to & troubleshooting

    Fetch step-by-step guides and track unresolved intents.

How It Works

Conversation design

Map intents, tone, and prompts aligned with your brand.

Retrieval augmented generation

Pull exact paragraphs from help docs and tickets per query.

Function calling & actions

Secure API calls to fetch or update data with allow lists.

Analytics & improvement

Dashboards for coverage, confusion, and weekly review loops.

Industries we serve

Education

EdTech

Finance

Logistics

Supply Chain

Manufacturing

Retail

eCommerce

Hospitality

Travel

Insurance

Real Estate

Telecom

Integrations

Zendesk

Salesforce

HubSpot

Freshdesk

Intercom

WhatsApp

Messenger

Slack

Teams

Security & Compliance

Our infrastructure is designed to safeguard sensitive information, enforce strict access governance, and meet enterprise-grade compliance standards.

Illustrative. A guarded run: scoped access, a policy check, masked personal data, one human approval and an audit entry.
  • PII Redaction & Masking

    Advanced detection and automated masking of personally identifiable information (PII) to ensure sensitive data is never exposed in logs, analytics, or AI pipelines.

    Data Protection

  • Role-Based Access Controls

    Granular RBAC policies that restrict system access based on roles, responsibilities, and contextual authorization rules.

    Access Governance

  • SOC2 Aligned Controls

    Security frameworks and operational controls aligned with SOC 2 standards to ensure reliability, availability, and confidentiality.

    SOC 2 Ready

  • Deploy in Your Cloud

    Flexible deployment options that allow you to run the platform within your own cloud environment for maximum control and compliance.

    Private Infrastructure

Pricing & Timeline

Efficient delivery modules designed for rapid scale.

  1. 01

    Discovery Sprint

    2 Weeks

    Deep-dive workshops to map user journeys, define technical requirements, and establish the AI logic framework.

  2. 02

    FAQ MVP

    2-6 Weeks

    Development of a core Knowledge Base agent capable of handling high-volume queries with 90%+ accuracy.

  3. 03

    Complex Workflows

    8-12 Weeks

    Full-scale automation including API integrations, multi-step logic paths, and enterprise system synchronization.

*Pricing is customized based on integration complexity and volume.

About Us

Who We Are

We are a team of AI and automation experts dedicated to transforming customer support with next-generation chatbots. Our focus is on delivering intelligent, reliable, and scalable solutions tailored to your industry.

Our Mission

To empower businesses with AI-driven chatbots that reduce response times, cut operational costs, and improve customer satisfaction.

Why Choose Us

Proven experience in enterprise AI projects, deep integrations with leading CRM systems, and strong security compliance.

FAQ

How long does a custom chatbot take?

2-6 weeks for an MVP, then 6-12 weeks to production, depending on content readiness and integrations.

Do we need training data?

No, we use your docs, help center, and resolved tickets.

Can you integrate with our CRM?

Yes, via secure APIs aligned with your auth standards.

How do you keep answers accurate?

Retrieval on approved sources, fallback rules, and human review.

What about costs?

Discovery is fixed price; build is milestone-based; support is monthly.

CognyX shipped a production-ready AI agent that integrates with our LMS and support stack. Clean architecture, secure data handling, on-time delivery and fewer support tickets.
Jerry Xiao, AI Code Academy

Recent Case Studies

See how we've shipped production AI for teams that need AI-driven customer support chatbots — with the architecture and measured outcome behind each build.

  • E-commerce

    Multi-Channel AI Chatbot for an Indian E-commerce Brand

    Handles product queries, order tracking, and returns — reducing support tickets by 60%.

Tell us what you want to automate.

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