Chatbot Development · Conversational AI

AI Chatbots That Handle Conversations 24/7.

Custom AI chatbots trained on your knowledge base, product information and customer history. Deploy on your website, WhatsApp or support desk. Qualify leads, resolve queries and escalate to humans intelligently.

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85%

Query containment without human escalation

24/7

Availability across all channels

Definition

What is chatbot development?

Chatbot development is the process of designing, building and deploying an AI-powered conversational interface that handles interactions between a business and its users automatically. A B2B chatbot is trained on your specific knowledge base, product catalogue and business logic, enabling it to qualify leads, answer support queries, book meetings and escalate complex issues to humans with full conversation context intact.

Koldconvert builds custom AI chatbots for B2B companies that need to handle high volumes of inbound conversations without proportional headcount growth. Chatbots are trained on your specific knowledge base, product catalogue, FAQs and CRM data. They handle lead qualification, support queries, pricing questions and appointment booking. When a conversation requires human input, they escalate with full context, not a cold handoff.

85%

Query containment rate

24/7

Channel availability

2-3 weeks

Average build to deploy time

Diagnosis

Signs You Need a Chatbot

Your support team spends more than 30% of their time answering the same 20 questions repeatedly.
Website visitors leave without converting because they cannot get quick answers outside business hours.
Your sales team is spending time qualifying leads that could be filtered automatically before any human touch.
Average first response time to inbound queries exceeds 4 hours, losing prospects to faster competitors.
Your WhatsApp or messaging channel receives enquiries but there is no automated system to triage or respond at scale.

Chatbot Types

Chatbot Types We Build

Website Lead Qualification

A chatbot trained on your ICP criteria that qualifies website visitors, collects key details and books meetings directly into your calendar.

Customer Support Bot

Handles FAQs, account queries, refunds and complaint routing. Trained on your support documentation and product knowledge base.

WhatsApp Business Bot

Conversational AI deployed on WhatsApp for inbound queries, order updates, appointment reminders and outbound follow-up sequences.

Internal Knowledge Bot

An internal chatbot trained on your SOPs, team documentation and processes. Reduces internal support load and speeds up onboarding.

Our Approach

The Koldconvert Conversational Intelligence Framework

The Koldconvert Conversational Intelligence Framework is a four-phase method for building chatbots that perform in production, not just in demos. We start from conversation mapping rather than bot-building: identifying the exact queries your business receives and the outcomes each query needs to produce. Training data comes from your actual customer interactions. Every flow is designed around escalation as much as containment, because a well-handled human handoff builds more trust than a failed automated response.

Process

How We Build Your Chatbot

Discovery

We map the conversations your chatbot needs to handle, define escalation logic and identify the data sources to train on.

Build

We develop the chatbot on the right platform for your use case, train it on your knowledge base and configure integrations with your CRM and calendar.

Test

We run structured testing across common and edge-case conversations, refining responses and escalation triggers before launch.

Deploy and Improve

The chatbot goes live and we monitor performance metrics, continually improving containment rates and response quality.

Koldconvert Perspective

Most companies build chatbots to deflect support tickets. That is the wrong starting point. The highest-value chatbots we have built for B2B clients are lead qualification bots that run 24/7 and book meetings while the sales team sleeps. The second highest are support bots that handle the 30% of tickets that require no human judgment at all. Start with the use case that directly generates or protects revenue, then expand from there.

Koldconvert AI Strategy Team

Deliverables

What You Receive

Trained chatbot deployed on your chosen channel
Knowledge base and training data documentation
CRM, calendar and third-party integrations
Escalation logic and human handoff workflows
Performance analytics dashboard
Post-launch optimisation and retraining support

Stack

Tools and Platforms We Work With

Bot Platforms

Voiceflow, Botpress, Intercom AI, custom GPT builds

Messaging Channels

WhatsApp Business API, website widget, Slack, Intercom

CRM Integration

HubSpot, Salesforce, Pipedrive, Zoho

Scheduling

Calendly, HubSpot Meetings, Google Calendar

AI Models

OpenAI GPT-4o, Claude, Gemini, domain-fine-tuned models

Automation

Zapier, Make.com, webhooks, custom APIs

Industries

Chatbot Development Across Sectors

SaaS and Technology

SaaS companies use chatbots to qualify trial signups, answer feature questions and route enterprise enquiries to the right sales rep automatically. High-volume inbound from product-led funnels is the primary use case, where a bot handles the first five minutes of every conversation before a human is ever needed.

Financial Services and Fintech

Fintech companies deploy chatbots for account queries, onboarding question handling and complaint triage. Bots are built with strict escalation rules so any compliance-sensitive conversation reaches a human immediately. Response time improvements of over 80% are common for routine query types.

E-commerce and Retail

E-commerce businesses use chatbots for order status, return initiation, product recommendations and promotional offers via WhatsApp. A well-deployed WhatsApp bot can recover 15 to 30% of abandoned carts through timely, personalised follow-up messages.

Professional Services

Law firms, accountancies and consulting firms use chatbots to qualify new client enquiries before any fee earner time is spent. A bot can collect key details, assess fit and book a discovery call, saving 2 to 4 hours of admin time per week per fee earner.

Healthcare and MedTech

Healthcare companies deploy chatbots for appointment booking, patient FAQ handling and symptom triage with strict escalation rules. Patient satisfaction scores improve when 24/7 response is available for non-clinical queries, and clinical questions are always routed to a qualified human.

Real Estate and PropTech

Real estate agencies and PropTech platforms use chatbots to handle property enquiries, qualify buyer and tenant intent and book viewings automatically. Bots deployed on listing pages capture leads that would otherwise leave without making contact after hours.

Logistics and Supply Chain

Logistics companies use chatbots for shipment tracking queries, delivery exception handling and freight quote requests. Reducing inbound call volume by 40% through automated status responses is a common first-year outcome for companies with high inbound query rates.

Education and EdTech

Education institutions and EdTech platforms deploy chatbots for enrolment queries, course information and student support FAQs. Bots reduce admissions team workload significantly during application peaks while improving prospective student response times to under 5 minutes.

Hospitality and Travel

Hotels, travel platforms and hospitality businesses use chatbots for booking modifications, amenity questions and guest services. WhatsApp bots in the hospitality sector see particularly high engagement, with guests preferring messaging over calling for simple requests.

Recruitment and HR Tech

Recruitment agencies and HR platforms use chatbots for candidate screening, interview scheduling and application status updates. A screening bot can handle the first stage of every application, reducing recruiter time per placed candidate by 30% or more at high-volume firms.

Comparison

Koldconvert vs Building In-House

Factor	Koldconvert	In-House Build
Time to live	2-3 weeks	3-6 months
Knowledge base training	Structured from your actual sources	Engineering time required
Platform selection	Matched to your use case	Defaults to what the team knows
Escalation design	Designed with ops and sales teams	Often overlooked until post-launch
Post-launch optimisation	Included in retainer	Competes with other dev priorities
Integration depth	CRM, calendar and support desk	Depends on developer availability
Cost structure	Fixed project or monthly retainer	Hidden cost in engineering time

Engagement

How to Work With Us

Project Build

One chatbot, fully scoped, built and deployed. Fixed timeline and deliverables. Ideal for a first deployment or a specific high-priority use case.

Retainer

Ongoing chatbot management, optimisation and expansion. Monthly improvement cycles, new flows added and containment rates improved continuously.

Multi-Channel Rollout

Website bot, WhatsApp bot and internal knowledge bot deployed as a coordinated package across all your key conversation channels.

Results

What Clients Achieve

Chatbot Results

Live performance metrics across active chatbot deployments

85%Query containment without escalation

3 minAvg response time (vs 4hr human avg)

40%Reduction in support ticket volume

24/7Availability with zero additional headcount

Key Terms

Chatbot Glossary

Conversational AI: Conversational AI is technology that enables computers to understand, process and respond to human language naturally. It underpins modern chatbots by combining natural language understanding with context-aware response generation.
Intent Recognition: Intent recognition is the process by which a chatbot identifies what a user wants from their message. It maps free-form input to predefined categories so the bot can select the right response or action.
Escalation Logic: Escalation logic defines the rules that trigger a handoff from the chatbot to a human agent. Well-designed escalation logic fires at the right moment with the full conversation context so the human does not need to start from scratch.
Query Containment Rate: Query containment rate is the percentage of conversations resolved by the chatbot without human involvement. An 85% containment rate means 85 in every 100 interactions are handled end-to-end by the bot alone.
Knowledge Base: A knowledge base is the structured collection of documents, FAQs and product content a chatbot is trained on. The quality and coverage of the knowledge base directly determines the accuracy of bot responses in production.
Conversational Flow: A conversational flow is the structured path a chatbot follows to guide a user from an opening message to a desired outcome. Flows define the questions asked, branching logic and actions triggered at each step.

Questions

Chatbot development, answered

What platforms do you build chatbots on?

We build on the best platform for your use case: custom GPT-based builds, Voiceflow, Botpress, Intercom AI or WhatsApp Business API. The platform choice is driven by your needs, not our preferences.

How is the chatbot trained on my business?

We ingest your documentation, FAQs, product pages, past support tickets and any other relevant knowledge sources. The chatbot is tested against real customer questions before launch.

Can the chatbot book meetings?

Yes. Lead qualification bots can integrate with Calendly, HubSpot Meetings or Google Calendar to book appointments directly within the conversation.

What happens when the chatbot cannot answer a question?

It escalates to a human with a full conversation summary, so the person taking over has full context. Escalation logic is configured based on your team setup and hours.

How long does it take to build a chatbot?

A standard lead qualification or support chatbot typically takes 2-3 weeks from briefing to live deployment. More complex builds with multiple integrations take 4-6 weeks.