Service — AI Agent Development

Agents That
Work for You

We do not build chatbots. We build AI agents: autonomous systems that understand context, make decisions, execute multi-step workflows, and integrate with your existing tools. Production-ready, not demo-ready.

The Problem

Chatbots Are
Not Enough

You have tried chatbots. They answer FAQs and then escalate. They do not handle real workflows, make decisions, or integrate with your systems. Your team still does the real work. What you need is an AI agent: a system that understands your business, executes multi-step processes, and operates independently with human oversight for complex decisions.

Stat 01
80%

Of chatbot implementations fail to deliver ROI because they are limited to FAQ answers and cannot handle real workflows.

Stat 02
5 min

Average time to resolve a tier-1 support ticket with an AI agent vs. 4 hours with a human. Speed matters for customer satisfaction.

Stat 03
3x

Cost reduction when AI agents handle routine tasks vs. human workers. The math is compelling at scale.

Stat 04
24/7

Availability of AI agents. No sick days, no turnover, no training ramp. Consistent performance around the clock.

Why It Happens

The 4 Signs You Need
AI Agents

01

FAQ Frustration

Your chatbot handles 10 questions and then says let me connect you to a human. Customers are frustrated. Your team is still overwhelmed. The chatbot is a speed bump, not a solution.

02

Workflow Gaps

Your automation handles single steps but cannot chain them together. It can create a ticket but not research the issue, check the customer history, and suggest a resolution. Your agents still do the thinking.

03

Integration Limits

Your AI tool works in isolation. It cannot read your CRM, update your ERP, or trigger your operations systems. Insights without action are worthless.

04

Context Amnesia

Your AI forgets the conversation after 3 messages. It cannot reference previous interactions, customer history, or business rules. Every conversation starts from zero.

Our Delivery Process

Define → Train → Integrate → Deploy

1
1-2 Weeks

Agent Definition

We define the agent is purpose, capabilities, boundaries, and success metrics. What tasks does it handle? When does it escalate? What systems does it access? Deliverable: Agent specification + capability map + escalation rules + success criteria.

2
2-3 Weeks

Model Training

We train the agent on your business data, terminology, workflows, and edge cases. Using RAG, fine-tuning, or prompt engineering depending on your requirements. Deliverable: Trained agent + knowledge base + test suite + accuracy benchmarks.

3
2-4 Weeks

System Integration

We connect the agent to your CRM, ERP, helpdesk, and operations systems. It reads, writes, and triggers actions across your stack. Deliverable: Integrated agent + API connections + workflow automation + error handling.

4
Ongoing

Monitor & Improve

We monitor agent performance, conversation quality, and escalation rates. We retrain, expand capabilities, and add new integrations based on real usage. Deliverable: Performance dashboard + monthly retraining + capability expansion.

This Is For You If
  • You need AI that handles multi-step tasks, not just FAQ answers
  • You want AI agents that integrate with your CRM, ERP, and operations tools
  • You have 500+ monthly interactions that follow a pattern but require judgment
  • You want 24/7 automated handling with human escalation for edge cases
  • You need agents that remember context across sessions and systems
This Is NOT For You If
  • You only need a basic FAQ chatbot for your website
  • You are not willing to invest in knowledge base maintenance and agent training
  • Your use cases are entirely unique with no patterns or repeatable logic
  • You want AI to make financial, legal, or medical decisions without human oversight
Typical Systems

Systems We Connect

Agent Framework

OpenClaw, Botpress, LangChain, custom agent orchestration. We build on frameworks that support multi-step reasoning, tool use, and memory.

LLM Providers

OpenAI, Anthropic, Google Gemini, open-source models (Llama, Mistral). We choose based on capability, cost, latency, and data privacy requirements.

Vector DB

Pinecone, Weaviate, Chroma, Supabase pgvector. We store your knowledge base, conversation history, and embeddings for fast, contextual retrieval.

Integrations

CRM, ERP, helpdesk, databases, custom APIs, webhooks. We connect agents to the systems where work happens.

Expected Outcomes

What You Get

01

Autonomous Task Execution

Agents handle multi-step workflows independently: research, decision, action, and confirmation. They do not just answer questions; they complete tasks.

02

Contextual Memory

Agents remember conversations, customer history, and preferences across sessions. They reference previous interactions and business rules without being reminded.

03

System Integration

Agents read from and write to your CRM, ERP, helpdesk, and operations tools. They are not isolated; they are embedded in your workflow.

04

Human Escalation

Complex, sensitive, or low-confidence situations are routed to humans with full context. The right problems go to the right people at the right time.

05

Continuous Learning

Agents improve with every interaction. We analyze conversations, identify failures, and retrain models to increase accuracy and capability.

06

Scalable Operations

One agent handles 10 conversations or 10,000. No linear headcount growth. Your operations scale without proportional cost increases.

Security & Governance

Built for
Enterprise Control

Every system we build includes role-based access control, audit logging, data encryption at rest and in transit, and compliance with GDPR, SOC 2, and ISO 27001 standards. Your data never trains third-party models. You own the source code, the data, and the deployment.

01

Data Sovereignty

Your data stays in your infrastructure. No third-party model training. Full data residency control.

02

Audit & Compliance

Complete audit trails for every automation, decision, and data access. SOC 2 and ISO 27001 aligned.

03

RBAC & SSO

Role-based access control, SSO integration, and multi-tenant isolation for enterprise environments.

04

Source Code Ownership

You own 100% of the source code, configurations, and intellectual property. No vendor lock-in.

Case Study

Indira Pharma — WhatsApp Lead Agent

Challenge

Pharmaceutical company receiving 2,000+ lead inquiries per month via WhatsApp. Manual response was impossible. Leads were lost. Response time was 12+ hours.

Solution

AI agent on WhatsApp that qualifies leads, answers product questions, schedules appointments, and routes hot leads to sales instantly. Integrated with CRM for real-time lead tracking.

2,000+
Conversations/mo
Automated handling
85%
Qualification
Accuracy rate
12 hrs
to 2 min
Response time
FAQ

Questions teams ask before they start.

What is the difference between a chatbot and an AI agent?

A chatbot responds to questions with pre-defined answers. An AI agent understands context, makes decisions, executes multi-step workflows, and integrates with your systems. A chatbot tells you the order status. An agent checks the CRM, verifies the delivery, files a support ticket if there is an issue, and notifies you with a resolution.

How do you ensure AI agents do not make wrong decisions?

We implement confidence thresholds, business rule constraints, and human escalation paths. Agents operate within defined boundaries for routine tasks. For ambiguous or high-stakes situations, they escalate to humans with full context and reasoning. Every decision is logged and auditable.

Can AI agents integrate with our existing tools?

Yes. We specialize in integrating agents with CRM, ERP, helpdesk, databases, and custom APIs. Agents can read customer history, update records, create tickets, trigger workflows, and send notifications across your entire tech stack.

What platforms can you deploy agents on?

Web chat, WhatsApp Business API, Facebook Messenger, Telegram, Slack, Microsoft Teams, email, SMS, voice (phone), and custom mobile apps. We can deploy the same agent across multiple channels with unified conversation history.

How long does AI agent development take?

Simple FAQ agents with basic integration take 2-3 weeks. Multi-capability agents with CRM integration and workflow execution take 4-8 weeks. Complex autonomous agents with multiple tools, reasoning chains, and custom knowledge bases take 8-12 weeks.

What is the cost of AI agent development?

Basic agent development starts at $8K-$15K. Multi-capability agents with integrations range from $20K-$50K. Enterprise agent platforms with multiple agents, custom knowledge bases, and advanced reasoning range from $50K-$150K+. Ongoing training and maintenance packages are available.

Ready to Ship?

Stop Chatting.
Start Acting.

48-hour agent assessment. We will define your use case, evaluate your integration landscape, and show you exactly what an AI agent can do for your business.

Build Your Agent →