A proof of concept typically costs £11,000 to £25,000, a production chatbot £25,000 to £60,000, and an enterprise platform £60,000 to £120,000 or more. Monthly model usage and hosting fees come on top. The final price of our chatbot development services depends on your use case, so book a call now, and we will give you an estimate.

A proof of concept takes 4 to 8 weeks, a production chatbot 8 to 14 weeks, and an enterprise platform 14 weeks or more. Your data sets the pace. Organised help-centre content shortens the timeline, while scattered or scanned documents extend it.

A rule-based chatbot follows scripted decision trees, so it fails when a customer phrases something unexpectedly. An AI chatbot interprets intent, keeps context across turns, and generates answers from your approved content. Many of the chatbot services we deliver combine both: fixed flows handle transactions, and AI handles open questions.

Start with an API model plus retrieval-augmented generation (RAG). It gives most business chatbots the fastest results. Choose an open-weight model such as Llama or Mistral when your data cannot leave your environment, or when high volume makes API fees prohibitive. Fine-tune when prompting and retrieval cannot reach your quality target, for example when you need a strict output format or specialist terminology. For every bespoke AI chatbot, we benchmark the options on your own conversations before we recommend one.

We ground answers in your documents through RAG, require citations to source passages, and score every release on an evaluation set built from your real questions. We add guardrails and human review for high-risk topics, then monitor live accuracy. No system removes errors entirely, so we measure the remaining error rate and design escalation around it.

It can be, when compliance is built into the design. We support DPIAs, host in UK regions where the chosen model allows, redact personal data, enforce access controls, and keep audit logs. We use model providers under enterprise terms that exclude your data from training, and we confirm this in writing for each one.

Yes. We connect chatbots to Salesforce, HubSpot, Zendesk, Intercom, Microsoft 365, SharePoint, and bespoke systems through secure APIs, then deploy them on your website, WhatsApp Business, Teams, Slack, and mobile apps. Our chatbot development services treat integration as core scope, so the bot works inside the tools your team already uses.

A good AI chatbot development company will show you production case studies with quantified results, a defined evaluation method, UK data-residency options, security certifications, model-agnostic advice, source-code and prompt ownership, and post-launch support. Before you sign, ask how it measures accuracy, handles prompt injection, and manages model upgrades. Discover how TechGropse answers these challenges; book a call now to claim your free compliance and architecture evaluation today.

Our chatbot development services span from first idea to live operation. We start with consulting and strategy, then build bespoke AI chatbots, RAG knowledge assistants, fine-tuned models, and agentic chatbots. We deploy across voice and messaging channels, integrate with your systems, and keep everything accurate afterwards with ongoing LLMOps support.

We engineer AI around your core operational bottlenecks. From day one, you retain 100% IP ownership of all custom code, prompts, vector pipelines, and fine-tuned model weights. Supported by dedicated UK-aligned project governance, we embed UK GDPR compliance, localised data residency (AWS London/Azure UK), and automated evaluation frameworks directly into Sprint 1. Book a call now and tell us where repetitive enquiries cost your team the most time.

We design healthcare and triage-assistant bots in alignment with the NHS AI Operating Framework and Information Governance guidelines. We implement strict anonymisation/pseudonymisation pipelines, prevent personal health data from entering model training sets, and enforce strict "human-in-the-loop" review protocols before any health-related guidance reaches a user.

Send your brief through our contact form. An engineer reads it and replies with scoping questions, then we schedule a call to define the use case, data sources, and success metric.

Yes. Our free scoping call reviews your enquiry volumes, data readiness, and risk, and ends with a clear recommendation: build, buy, or wait. Book a call now to find out which one applies to you.