For businesses ready to use AI safely

AI Automation and Chatbots for Business

What if customers could get accurate answers at any hour, without waiting for your team? We build AI assistants and automated workflows that answer from your own documents and data, with a person in the loop where it matters. Every assistant is tested for accuracy before it goes live.

Datafindy assistantWhat were our top products in May?Electronics led with $182K,up 14% on April. Source: Maysales report, page 3.Email the summary to the teamDone. Sent to 6 people.Ask a question...Triggernew emailAI stepclassify + draftHuman checkapproveActionCRM + reply
Best forSMEs, agencies and service teams
BuildsRAG chatbots and AI workflows
SafeguardsHuman approval and cited answers
MeasuredAccuracy tested before launch

The short answer

What is AI automation?

AI automation combines large language models with your business tools to handle tasks such as answering questions, classifying requests, drafting replies and summarizing documents. Workflow tools connect the AI to your email, forms, spreadsheets or CRM.

A RAG chatbot (retrieval augmented generation) answers from your own documents instead of guessing, and can show which source each answer came from. That makes it far more reliable for business use.

How a question is answered

Where an AI assistant fits in your customer workflow

An AI assistant is only useful when it answers correctly and knows when to stop. We join at the testing stage, where accuracy is measured on real questions, and we design the human review step before anything goes live.

VisitorAssistantYour contentYour teamasks a questionsearches contentreturns sourcesanswer + source linkWe test this loop on real questionsnot sure? hands overa person repliesAccuracy is measured before launch,and uncertain questions go to a person.
1. Use case
Business owner: Chooses the questions the assistant should answer.
Our part: Limits the scope and defines what the assistant must not answer.
2. Content and data
Content owner: Supplies documents, FAQs and product information.
Our part: Checks the content is current and structures it for retrieval.
3. Build the assistant
AI developer: Connects the content to the language model and interface.
Our part: Builds the answer flow and the source links for each answer.
4. Accuracy testing
Data analyst: Tests the assistant on real questions.
Our part: Measures accuracy with confidence intervals and reports the failure cases.
5. Security and privacy
Security and IT: Reviews access, data handling and logging.
Our part: Confirms no secret keys sit in the page and that personal data is not stored.
6. Launch and feedback
Support team: Monitors questions and escalations.
Our part: Reviews logged questions to improve answers and content over time.

Who it is for

Built for teams like yours.

01

Service businesses

Website and support chatbots that answer from your policies and FAQs.

02

Teams buried in admin

Workflows that classify emails, draft replies and update records.

03

Data heavy teams

Assistants that summarize reports and answer questions about your data.

What you get

Clear deliverables, agreed up front.

AI that is useful, measurable and under your control. Every project is quoted as a fixed price after a free assessment, so you know the cost before work begins.

  • A use case review to find where AI adds real value
  • A RAG chatbot or workflow built on your documents
  • Human approval steps for sensitive actions
  • An evaluation report with measured accuracy
  • Privacy and data handling guidance
  • Training and a support period after launch

Packages and pricing

Pick the depth you need.

Starting prices are shown for each option. Your final price is a fixed quote, agreed after a free assessment of your data and scope, so there are no surprises.

No AI subscription needed

Website FAQ Assistant

An assistant that answers from your own website content, like the one on this site.

From $500fixed project
  • Answers from your pages and FAQs
  • Source link with every answer
  • Handover to your contact form
  • No monthly AI fees
Get a fixed quote
Recommended for support teams

AI Knowledge Assistant

An AI assistant that answers from your documents, tested before launch.

From $2,500fixed project
  • Content preparation and structure
  • Retrieval based answers with sources
  • Accuracy test on real questions
  • Human handover for unsure answers
  • AI usage billed to your own account
Get a fixed quote
Keep answers accurate

Monthly Care

Regular review of real questions to improve answers and content.

From $200per month
  • Monthly review of logged questions
  • Content and answer updates
  • Accuracy re-check
Get a fixed quote

How it works

Four steps from question to answer.

  1. Step 1

    Use case

    We choose one valuable, low risk task to start with.

  2. Step 2

    Prototype

    We build a working version on your data.

  3. Step 3

    Evaluate

    We test accuracy on real questions and refine.

  4. Step 4

    Launch

    We deploy with safeguards, monitoring and training.

Questions we help you answer

If you are asking these, we can help.

Retrieval augmented generation (RAG)Chatbots for websites and teamsWorkflow automationPrompt designEvaluation and accuracy testingHuman in the loop designPrivacy and data handling

Tools we use

PythonOpenAI and Claude APIsn8nMakeZapier
  • ?Can a chatbot answer customer questions from our FAQs?
  • ?Can AI sort and draft replies to our emails?
  • ?How accurate is the assistant, really?
  • ?Where should a person approve the AI’s work?
  • ?Is our data safe with this tool?
  • ?Which task should we automate first?

FAQ

Questions about AI Automation and Chatbots

Cannot see your question? Ask it in the enquiry form and you will get a direct answer.

See all FAQs
What is a RAG chatbot?

A chatbot that searches your own documents for relevant passages before answering, so its answers are grounded in your content and can cite the source.

Will the chatbot make things up?

Grounding answers in your documents and testing them reduces this risk greatly. We also design it to say when it does not know and to hand over to a person.

Is our data used to train AI models?

We choose providers and settings that do not use your business data for training, and explain the data handling of each option before building.

How do you measure if the AI works?

We test it on a set of real questions, score the answers and report accuracy with a confidence interval, then monitor it after launch.

What should we automate first?

Start with a frequent, well defined task where mistakes are easy to catch, such as answering common questions or sorting incoming requests.

Tell us about your data. We will tell you what it can answer.

Send a short description and receive a free assessment with a suggested approach, timeline and fixed quote.

Request a free assessment