Home / Services / AI Chatbot Development
Give users a helpful route through common questions.
Develop conversational interfaces for a defined set of user needs, connected to approved content and a clear handoff when the assistant cannot help.
★★★★★5.0· 57 client reviews
Overview
AI Chatbot Development, explained
A useful chatbot answers the questions people actually ask, admits when it does not know and hands over to a person smoothly. Modern language models make conversations far more natural than scripted bots, but they still need boundaries, grounded answers and a clear escalation path.
We build chatbots that draw answers from your approved content, collect structured details when needed and pass conversations to your team with a summary. Analytics show which questions are answered, which are escalated and where content needs improvement.
Before you build
Decisions worth settling first
Settling these points early keeps scope realistic and makes the estimate meaningful.
01
Top questions
Gather the most common requests from tickets, chats and emails to define the first scope.
02
Approved content
Decide which help articles, policies and data the bot may use to answer.
03
Handover rules
Define when to transfer to a person and what context to pass with the conversation.
04
Channels
Choose where the bot lives: website, mobile app, WhatsApp, Messenger or internal tools.
05
Tone and limits
Set the bot’s voice and topics it must refuse or redirect.
06
Success measures
Agree measures such as resolution rate, escalation rate and customer satisfaction.
Services
What our AI chatbot development services include
Customer service chatbots
Answer order, account and product questions using your help content and systems.
Lead qualification bots
Ask the right questions, capture details and book meetings for sales.
Internal helpdesk bots
Answer HR, IT and policy questions for staff in Teams or Slack.
Multilingual chat
Conversations in several languages with consistent answers.
Live-agent handover
Integration with helpdesk platforms for seamless transfer with summaries.
Conversation analytics
Dashboards on topics, unresolved questions and content gaps.
How it is built
The layers behind a dependable result
Every layer has an owner, tests and documentation, so the system can be supported after launch.
01
Knowledge
Retrieval from approved articles, FAQs and product data.
02
Conversation logic
Intent handling, forms, clarifying questions and safety rules.
03
Integrations
Lookups in order, booking or CRM systems and handover to helpdesks.
04
Analytics
Logs, ratings and reports that guide improvements.
Use cases
Where it helps
Ecommerce
Order status, returns, sizing and product questions.
Services businesses
Booking, pricing questions and lead capture.
SaaS products
Onboarding help and feature questions inside the app.
Education
Course information and student support questions.
Internal teams
HR and IT questions in workplace chat tools.
Healthcare administration
Appointment and general information questions, without clinical advice.
Illustrative use case
A customer assistant can answer product questions from approved material and route account-specific issues to support.
Why PoliteTech
Why teams choose PoliteTech
Scope before commitment
Priorities, assumptions and acceptance criteria are agreed in writing before a delivery plan is fixed.
Engineers who build
Recommendations come from the people who design, code and support the software, so they reflect real implementation effort.
Visible progress
A shared backlog, regular demos and recorded decisions keep you informed without chasing updates.
Practical AI
Evaluation sets, review steps, cost limits and monitoring are part of every AI feature we ship.
Flexible engagement
Start with a scoped project, a dedicated team or support, and change the model as your roadmap evolves.
Clear ownership
Repositories and accounts can live in your organisation, with IP and confidentiality terms agreed in the contract.
Industries
Where this work fits
Retail and Ecommerce
Build web and mobile journeys around product discovery, ordering and customer service.
Financial Software
Support reporting, document processing and internal operations through defined application workflows.
Logistics Software
Connect planning, task assignment and operational updates in one workflow.
Education and Elearning
Create platforms for content, activities and progress tracking.
Fitness and Wellness Apps
Support tracking, coaching content and user engagement around a clear product goal.
Manufacturing Software
Replace fragmented tracking with workflows for quotations, work status and supporting documents.
Real Estate Applications
Create listing, enquiry and internal coordination tools around your business process.
Business Operations
Build task, approval and reporting tools around the way your team works.
Process
A practical path from requirements to release.
Each stage ends with something you can review: a scope, a prototype, a working increment or a release.
01
Understand
Discuss your users, business needs, existing systems and delivery constraints.
02
Define
Agree scope, technical approach, responsibilities and a delivery plan.
03
Design and build
Develop in manageable increments with visible progress and review points.
04
Test and release
Validate agreed workflows, resolve release blockers and prepare deployment.
05
Support and improve
Document the handover, review production feedback and plan the next priorities.
Technology
Tools and platforms we work with
OpenAIGoogle GeminiDialogflowRasaLangChainNode.jsPythonReactWhatsApp Business APIMicrosoft Bot FrameworkZendeskIntercomFreshdeskAWS
Cost
What shapes the cost of your project?
There is no useful price without scope. These are the factors we review when preparing an estimate, and the estimate lists every assumption so you can see what would change it.
01
Number of workflows
Each workflow needs its own prompts, tools, evaluation set and review design.
02
Data preparation
Cleaning, labelling, chunking and access rules often take more effort than the model itself.
03
Integrations
Connections to CRMs, ERPs, document stores and identity providers add design and testing work.
04
Evaluation and review
Building test sets, review queues and monitoring is essential for reliable results.
05
Model and hosting
Hosted APIs, open models and private deployment have very different setup and running costs.
06
Security and compliance
Sensitive data, audit needs and data residency add controls and documentation.
Engagement models
Choose the engagement that fits your next step.
Dedicated Team
For a changing roadmap or ongoing development. Agree roles and working process, then manage priorities through a shared backlog.
Best for team extension and long-term product work.
Scoped Project
For a defined product or milestone. Align on requirements, deliverables and acceptance criteria, with changes reviewed before they affect the plan.
Best for MVPs, integrations and focused releases.
Maintenance and Improvement
For software that already exists. Start with a technical review, then agree support routines and planned improvements.
Best for live applications and modernisation.
FAQ
Questions about AI chatbot development
Will the chatbot replace our support team?
It handles routine questions so your team can focus on complex cases. Handover to a person is part of the design.
Can it look up orders or accounts?
Yes, through secure integrations with your systems, with identity checks where needed.
Which channels do you support?
Websites, mobile apps, WhatsApp, Facebook Messenger, Microsoft Teams and Slack are common choices.
How do you stop it from giving wrong information?
Answers are grounded in approved content, sensitive topics are restricted and uncertain cases are escalated.
Can it speak several languages?
Yes. Language models handle many languages; we test the key ones with your content.
How do we improve it over time?
Analytics show unanswered and escalated questions, which guide new content and logic changes.
Can we begin with a focused scope?
Yes. We can review your current situation and agree a bounded first engagement before a wider build.
How are pricing and timelines determined?
We review requirements, technical complexity, team needs and delivery constraints before proposing an engagement. Estimates list assumptions and what may change the plan.
Can we discuss a project under an NDA?
Yes. Let us know before sharing confidential materials so we can agree confidentiality terms first.
Our work
Conversational AI projects
Entertainment · Mobile
AI Character Chat App
A mobile app where users chat with expressive AI characters by text, voice and video, and customise how each character looks.
FlutterAndroidConversational AIVoice and video calls
Productivity · Web & desktop
Team Messaging with Built-in AI
A secure team messaging and collaboration tool with workspaces, channels and optional AI for summaries, replies and action items.
Next.jsReactRedux ToolkitElectron
Education & family · Mobile
AI Study Companion
A mobile AI tutor that helps children aged 6 to 18 with homework, exam preparation and reading, explaining step by step instead of giving answers.
React NativeNext.jsGoogle CloudiOS
Discuss your AI chatbot development needs
Share your goals, current situation and the help you need. We will review your message and suggest a practical next step.