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Trusted by startups and global enterprises across the USA, UK and Europe, Concetto Labs has been delivering high-performance AI-Driven software solutions for over 10+ years, helping ambitious businesses scale faster, deliver smarter and perform stronger in an ever-evolving digital world.

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Next-Gen Growth Metrics

Proven Results & Impact That Speak For Themselves

Engineering tomorrow’s digital experiences with next-gen technology to deliver verifiable ROI and sustained market leadership.

WEB & MOBILE APPS DEVELOPED

550+
MOBILE APP DEVELOPED

TECHNOLOGY EXPERT

130+
TECHNOLOGY EXPERT

YEARS OF EXPERIENCE

10+
YEARS OF EXPERIENCE
HAPPY CLIENT

HAPPY CLIENT

500+
WEB APP DEVELOPED

CLIENT RETENTION RATE

97%
INTERNATIONAL OFFICES

POWER APPS DEVELOPED

100+

Why Businesses Adopt AI Support Agents Today?

AI support agents are a hot topic in the world of customer service, and we have the numbers to show why. The global AI customer service market was valued at billions in 2024 and is projected to grow further by 2033 with an annual growth rate of about 23%, especially in North America and Europe. Gartner predicts that by 2029, 80% of customer service challenges that are easier to address will be tackled by AI customer service agents, with a resulting average cost savings for customer service of about 30%.

The transition goes beyond mere expenses. Customers today demand immediate and precise responses around the clock, and a basic chatbot that merely directs them to a help article simply doesn’t meet those expectations anymore. Support leaders in the UK, Germany, and the US are transitioning from simple chatbots to advanced AI agents capable of verifying orders, processing returns, and efficiently escalating tickets to the appropriate personnel, all without the need for human intervention.

For a growing company, that gap between "can answer" and "can resolve" is where customer support AI agent development pays for itself.

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Why Businesses Adopt AI Support Agents Today?

Our Success Stories

Delivering Innovative Solutions Across Industries

What Makes an AI Support Agent Different From a Chatbot?

What Makes an AI Support Agent Different From a Chatbot?
What Makes an AI Support Agent Different From a Chatbot?

AI agents handle complex questions.

Handle Multi-Step Scenarios
01

For example, a request is made by a customer, the order is retrieved, the policy is checked, an appropriate resolution is issued, the result is logged, and no keystrokes are made.

AI customer support
02

Support agents use retrieval-augmented generation (RAG) to find answers within your company’s policies, product documentation, and frequently asked questions. It doesn’t provide outdated or incorrect responses because it doesn't guess.

Customer support AI agents learn
03

With each case that is resolved or escalated, the system learns more, and the agent is able to answer a greater variety of questions.

Understand Customer Intent
04

AI agents understand context, intent, and conversation history, allowing them to respond appropriately even when customer requests are unclear or conversational.

Take Real-Time Actions
05

AI agents can connect with CRM, help desk, order management, and other business systems to update records, create tickets, process requests, and trigger workflows.

Know When to Escalate
06

When an issue requires human judgment or falls outside defined policies, the AI agent can seamlessly transfer the conversation to the right support team with the relevant context included.

Core Capabilities We Build Into Every Agent

Multi-Channel Support

Customers communicate across multiple platforms, and so should agents. We create AI-powered agents that span communication modes across live chat, email, WhatsApp, and telephony, enabling agents to move effortlessly between conversation channels without losing context.

CRM and Helpdesk Integration

An AI agent can only carry out actions within the systems. That is why we have created seamless integrations with Zoho, Salesforce, Zendesk, HubSpot, and Freshdesk, the leading platforms, to deliver an AI agent that can take the initiative and look for orders, update records, and even close tickets in the systems that your team uses frequently.

Human-in-the-Loop Copilot

We know that not every interaction should be fully automated. We provide an AI agent that acts as a copilot for your live agents, drafting replies with the relevant policy and order information. This helps agents to respond quickly and provides you with the opportunity to decide the threshold of desired automation.

Guardrails and Compliance

The solution considers policy limits, and PII is seamlessly integrated, as well as providing an audit trail for every action, and thus addresses the needs of regulated industries and compliance, when the remaining frameworks, for example, GDPR for UK and EU businesses, HIPAA, and PCI DSS where applicable, are addressed.

Analytics and Reporting

Our dashboard gives analysis of containment rates and time to resolve a contact; all of this is actionable and, above all, helps you understand what your agent is managing the most and what gaps are uncovered that remain to be automated.

​​Continuous Learning Loop

The agent's performance on each call affects how the system performs as a whole. We regularly examine missed intent and ambiguous cases, which results in system improvements on a continuous basis. That decreases the need for agents to resort to workarounds in order to achieve system functionality.

Our Customer Support AI Agent Development Process

Ready to see what an AI support agent could resolve on your own ticket volume?

Share your top ticket types and current support setup, and we'll map out where automation fits and what it's worth to you.

Get Your Free AI Support Agent Consultation
Hire Our Developers

Why Concetto Labs Is the Right AI Integration Partner?

Comprehensive AI and integration proficiency

We go beyond simply connecting a standard AI model; we create the RAG pipelines, integrations, and safeguards that ensure an agent is fully prepared for production.

Experience across UK, German, and US business environments

Demonstrated ability to operate in the business worlds of the UK, Germany, and the US. We acknowledge the different compliance needs and customer needs in different markets, spanning from the GDPR in Europe to the similar needs of the CCPA in the US.

Your stack, not a reconstruction

We build on top of the CRM and help desk tools that you already use, avoiding the need for a painful platform switch.

Step-by-step participation

We give you a detailed plan as well as a functioning prototype so that you can see for yourself if we can contain your ticket data. With that, you can make an informed decision if you want to continue with the integration.

Conversation designers and builders, not just resources

You work with the same people from initial design to the build to ensure full context is maintained.

Post-launch adjustments comprised

We remain fully engaged even after the go-live phase. Continuous monitoring and weekly adjustments are integral to the engagement. This makes sure that containment continues to rise post-launch rather than leveling off.

tools and technologies

Technologies
  • Python
  • Java
  • C++
  • R
  • TensorFlow
  • PyTorch
  • OpenCV
  • Julia
  • Scala
Data Science & ML Libraries
  • Scikit-learn
  • NumPy
  • LightGBM
  • Keras
  • Pandas
  • Seaborn
Deep Learning
  • TensorFlow
  • PyTorch
  • Keras
  • JAX
  • ONNX
  • MXNet
Generative AI & LLM Frameworks
  • LangChain
  • LlamaIndex
  • Hugging Face Transformers
  • Vector Databases (Pinecone, Weaviate)
Data Engineering & Storage
  • Hadoop
  • Apache Kafka
  • Apache Spark
  • Airflow
  • BigQuery
  • MongoDB
  • PostgreSQL
  • Snowflake
Visualization Tools
  • Plotly
  • Tableau
  • Matplotlib
  • Seaborn
  • Power BI
  • D3.js
3rd Party APIs
  • OpenAI API
  • Anthropic Claude API
  • Google Gemini API
  • Google Vision API
  • Azure Cognitive Services
  • AWS Rekognition
  • IBM Watson API
  • Twilio (for chatbots/voice)
PM Tools
  • Trello
  • Slack
  • Jira
  • Basecamp

Strategic Insights

How Can Automation in Dynamics 365 for Sales Improve Your Sales Cycle?

Sales function improvement is crucial in modern business competition for organizations that are after success. To boost sales performance with the aim of increasing organizational revenue, Microsoft Dynamics 365 for Sales is packed with an array of tools. This post seeks to discuss how Automation in Dynamics 365 for Sales could enhance the sales team’s performance by looking at the main characteristics, mechanisms, and pros.

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AI-Powered Automation: 5 Ways to Supercharge Your Power Automate Flows

AI-powered automation is changing the definition of the affair for contemporary enterprises that design, run, and enhance their workflows. Through the development of Power Automate flows, companies have moved away from dependency on static, rule-based automation only. They are now creating smart, self-optimising AI, Copilot, and predictive insights-driven workflows. This article discusses Microsoft Power Automate features, the importance of AI, and the journey of a company towards achieving true operational efficiency through AI-powered automation, intelligent approvals, and advanced workflow optimisation.

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How To Use Power Automate to Build Workflows?

Microsoft Power Automate is a very basic workflow-based automation tool that just works by dragging and dropping tasks to automate repetitive and manual processes. The main goal of Microsoft Power Automate is to allow both programs and non-programmers to automate repetitive operations by a step-by-step rule-based flow.If you are looking to create a process, make a flowchart and visualize the process flow before you start. There are several phases such as variables, loops,

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Frequently Asked Questions

A chatbot uses artificial intelligence to match messages to pre-scripted messages or responses. customer support ai agent makes use of multiple steps and takes action like verifying a customer, and checking and/or processing orders and resolutions in the company’s systems. One answers; the other resolves.

A single-channel, focused pilot usually takes around 6-10 weeks; broader deployments across multiple channels that involve deeper integrations and human-in-the-loop workflows usually take around 3-5 months, all depending on the required scope.

Yes. We use and work with your existing systems and platforms, whether they be Zoho, Salesforce, Zendesk, HubSpot, or Freshdesk. Our agents link and integrate with them using APIs.

No. We intend to move repetitive support tickets to our system in order for our team to focus on tickets that are of a more complex nature and require more extensive human support. Guardrails ensure support tickets are transferred.

Guardrails, PII, and auditing are all addressed and included before anything else. For our clients in the UK and EU, this means GDPR compliance; for our regulated US sectors, we adjust and comply with regulations like HIPAA and PCI DSS.

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