Custom AI chatbot & RAG development·USA · UK

Custom AI Chatbots That Turn Questions Into Customers.

We build AI chatbots and RAG-powered assistants that answer customer questions, qualify leads, automate support, and connect with your business systems.

Custom chatbot development for businesses across the USA and UK.

Grounded in your data
RAG with source citations
Answers 24/7
Never miss a lead
Human handoff
Escalates when needed
Support assistant for a SaaS product
Example
Do your Pro plans include SSO for 50 seats?
Yes — SAML/OIDC SSO is included on the Business Pro plan (50+ seats). It also covers SCIM user provisioning and audit-log exports.
pricing.pdf · p.4help/sso-setup
Can it integrate with Okta?
Yes — Okta and Azure AD are supported out of the box. Setup takes about 15 minutes.
Ask a question…
Grounded in your docs + CRMHandoff to Slack · Zendesk

Illustrative example of a build — not a real client deployment.

The problems we solve

The everyday cost of unanswered questions.

If any of these sound familiar, a custom AI chatbot is likely the highest-leverage thing you can build this quarter.

Visitors leave without answers

People bounce when they can't find pricing, features, or availability information fast enough.

Repetitive support enquiries

Your support team keeps answering the same questions about invoices, plans, and how-tos.

Missed leads after hours

Enquiries land at 11pm or on weekends and go cold before anyone replies the next morning.

Sales chasing unqualified leads

Sales spends the day sifting weak enquiries and calling people who were never going to buy.

Employees can't find information

Staff waste hours searching Confluence, Drive, and SharePoint for policies, specs, and answers.

Rule-based chatbots frustrate users

Old decision-tree bots break on real questions and leave customers feeling worse than before.

How a chatbot helps you grow

Answers, leads, and time — back on your side.

A well-built chatbot changes the economics of front-of-house work. Here's where teams see the compounding wins.

Respond to visitors 24/7

Your chatbot answers the same day, night, and weekend — so no visitor waits until Monday for a reply.

Capture leads after hours

Collect contact details, qualify interest, and book meetings while your sales team is offline.

Qualify enquiries

Ask the right questions upfront so sales only sees warm, sales-ready conversations.

Recommend the right service

Guide visitors to the product, service, or plan that actually matches what they described.

Cut repetitive support work

Handle the top L1 questions — pricing, features, availability, order status — so your team focuses on complex cases.

Make internal info findable

Give staff instant answers from policies, product docs, and internal tooling — no more Confluence spelunking.

Escalate to humans gracefully

When the bot isn't sure, it hands off to your team with full context — customer question, history, and best-guess answer.

Learn from every conversation

See what visitors actually ask, where the bot struggles, and which topics deserve better content.

RAG explained

AI answers grounded in your business knowledge.

Retrieval-Augmented Generation (RAG) means the chatbot first retrieves relevant information from approved sources — then writes an answer using that information. It doesn't invent facts from thin air.

Sources we can ground answers in

Any content you can share, we can turn into an answerable knowledge base.

Website pages
PDFs
Help articles
Product catalogues
Policies
CRM records
Databases
Internal documentation

RAG improves answer relevance and makes information easier to update — but it does not completely eliminate incorrect answers. We build in safeguards to keep quality high.

Safeguards we build in

Every RAG project ships with the guardrails needed to keep answers safe and honest.

  • Source citations — every answer links back to where it came from
  • Confidence thresholds — the bot says "I'm not sure" rather than guessing
  • Access controls — respects user permissions and document visibility
  • Human escalation — clean handoff when the answer isn't clear
  • Answer monitoring — we track quality over time, not just at launch
  • Knowledge-base updates — a simple workflow to refresh sources
RAG vs. traditional chatbots

Why RAG chatbots outperform old decision-tree bots.

Rule-based chatbots still make sense for tightly-scripted flows. For anything knowledge-heavy, RAG is a different category of tool.

FeatureTraditional chatbotRAG chatbot
How users interactFixed buttons and decision treesNatural-language questions
Question handlingLimited to pre-defined flowsHandles a wide range of questions
Content updatesManual flow rebuildsUpdate the source — the bot updates itself
Unexpected questionsOften break or dead-endRetrieves best-fit information and cites sources
Source referencesNot typically shownCan display citations for every answer
Best suited forSimple, predictable workflowsKnowledge-heavy support and sales use cases
How we build chatbots

Six-step process. Written deliverables at every stage.

No mystery — every project runs through the same six stages, with something concrete to review at the end of each.

  1. 01

    Discovery

    We map your use case — customers, questions, data, and existing tools. We agree on success criteria before writing a line of code.

    Deliverable: Written architecture + scope

  2. 02

    Knowledge & data preparation

    We gather your documents, help articles, and data sources. We clean, chunk, and index them so the chatbot can retrieve relevant answers.

    Deliverable: Knowledge base + index

  3. 03

    Conversation design

    We design how the bot greets, asks, answers, and hands off. Tone, guardrails, and escalation rules are agreed upfront.

    Deliverable: Conversation spec + prompts

  4. 04

    Development & integrations

    We build the chatbot, connect it to your CRM, helpdesk, and channels (web, WhatsApp, Slack), and wire in the guardrails.

    Deliverable: Working chatbot + integrations

  5. 05

    Testing & evaluation

    We run automated evals plus real-world Q&A. We measure accuracy, groundedness, and handoff quality — and iterate before launch.

    Deliverable: Eval report + fixes

  6. 06

    Deployment & continuous improvement

    We ship to production, monitor conversations, and improve the bot based on what real users ask. Optional retainer for ongoing tuning.

    Deliverable: Live chatbot + monitoring

Industries we serve

Chatbots built for the way your industry actually works.

Each industry has its own vocabulary, integrations, and edge cases. We start from those, not from a template.

SaaS

Product support automation, onboarding assistants, in-app help.

E-commerce

Product discovery, order status, returns, upsell assistants.

Real Estate

Property enquiries, viewing bookings, lead qualification.

Recruitment

Candidate screening, job matching, application status bots.

Professional Services

Client intake, proposal Q&A, knowledge assistants.

Travel & Hospitality

Booking help, itinerary answers, concierge assistants.

Education

Course info, student support, enrollment guidance.

Logistics

Shipment tracking, driver support, dispatch assistants.

FAQ

Common questions from teams looking to build a chatbot.

A custom AI chatbot is a chatbot built specifically for your business, using your data, your integrations, and your brand voice. Unlike template chatbot platforms, a custom bot can answer using your real documents, take actions in your tools, and evolve as your business changes.

Turn Your Website Into an Intelligent Sales and Support Channel

Tell us about your customer questions, business documents, and existing systems. We'll recommend a practical chatbot solution based on your requirements.

No-obligation consultation · Your information stays confidential · Response within one business day.