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AI chatbot development

AI chatbots that actually work

AI chatbot development from Agility produces production-grade conversational systems deployed in 3 to 5 weeks.

Build my chatbotSee results
Weeks to launch
3 to 5 wks
To a working prototype
1 week
AI projects shipped
200+
Model updates after launch
Monthly

The short answer

What does AI chatbot development include?

We build customer support bots that resolve tickets without human escalation, internal knowledge assistants that answer employee questions from your documentation, sales qualification bots that qualify leads and book meetings, and voice-enabled AI systems for call centre augmentation. Every chatbot runs on GPT-4o, Claude 3.5 or a private LLM depending on your data residency requirements, and goes live in 3 to 5 weeks.

See real deployments in our case studies, or tell us your use case.

After launch

Built in integrations and a clear escalation path

Integrations to your CRM, helpdesk platforms (Zendesk, Freshdesk, Intercom), Slack and Microsoft Teams are built in. Every chatbot includes a structured escalation path: unresolved queries route to human agents with the full conversation context.

Post-launch deliverables include weekly accuracy reports, a deflection rate dashboard, CSAT impact tracking, and monthly model updates.

How we deliver chatbots

From discovery to a live bot
3 to 5 weeks
To a working prototype
1 week
Accuracy reports after launch
Weekly
Model updates after launch
Monthly

What we build

Every type of AI chatbot

From simple FAQ bots to complex multi-step agentic assistants, built with production-grade reliability.

Customer support chatbots

Resolve routine tickets automatically with AI that understands your products, policies, and tone.

  • Automated first responses
  • Escalation to human agents
  • Multi-language support
  • CRM integration

Sales and lead gen bots

Qualify leads, book demos, and nurture prospects outside office hours, no SDR required.

  • Lead qualification flows
  • Calendar integration
  • CRM sync (HubSpot, Salesforce)
  • Personalised follow-up

Knowledge base assistants

Internal chatbots trained on your docs, wikis, and SOPs so staff get answers in seconds.

  • RAG over private documents
  • Confluence, Notion, SharePoint
  • Role-based access control
  • Source citations

WhatsApp and messaging bots

AI chatbots on WhatsApp, Slack, Teams and Telegram, wherever your customers already are.

  • WhatsApp Business API
  • Slack and Teams apps
  • Rich media support
  • Broadcast campaigns

Voice AI and phone bots

Voice agents that handle inbound calls, bookings, and FAQs with natural conversation.

  • Twilio and ElevenLabs integration
  • IVR replacement
  • Appointment booking
  • Call transcription

Secure enterprise chatbots

LLM deployments inside your own cloud, so no data leaves your environment.

  • Private Azure OpenAI or AWS Bedrock
  • SOC 2 and HIPAA ready
  • Audit logging
  • SSO integration

Case studies

Projects we have shipped

Real deployments with measurable business results.

View all case studies

Insurance statement automation

Insurance

Document extraction with CRM integration for a UK brokerage handling 500+ statements a day: processing cut from 4 hours to 15 minutes per batch and 95% less manual data entry.

Read the insurance case study

Real-time clinical intelligence

Healthcare

Clinical data integration for a multi-facility healthcare network: 94% accuracy extracting medical terminology from clinical notes and 78% fewer patient transfer incidents.

Read the healthcare case study

Retail operations automation

Retail and e-commerce

Automation and real-time analytics for a UK retail pharmacy network across 50+ branches: 95% of manual workflows automated and 20+ hours saved each week.

Read the retail case study

Process

From brief to live bot in weeks

  1. 013 to 5 days

    Discovery and use-case mapping

    We identify the highest-ROI chatbot use cases for your business and map the conversation flows.

  2. 021 week

    Architecture and integrations

    Design the bot architecture, choose the right LLM, and plan all third-party integrations.

  3. 032 to 5 weeks

    Build and train

    Develop the bot, train it on your data, tune prompts, and wire up every integration.

  4. 041 week

    Test, deploy and optimise

    Rigorous QA, production deployment, and ongoing performance monitoring.

Tech stack

The tools we build with

We choose the right tool for your use case, not the most fashionable one.

LLMs

OpenAI GPT-4o, Claude 3.5 Sonnet, Gemini Pro, Llama 3, Mistral

Frameworks

LangChain, LangGraph, LlamaIndex, Rasa

Channels

WhatsApp Business API, Slack, Microsoft Teams, Twilio, Telegram

Vector databases

Pinecone, Weaviate, pgvector, Chroma, Qdrant

Voice

ElevenLabs, Deepgram, Azure Speech, AWS Polly

Integrations

HubSpot, Salesforce, Zendesk, Intercom, Freshdesk

Ready to build your AI chatbot?

Tell us your use case and we'll have a working prototype in front of you within a week.

Start your projectView all case studies