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AI & Automation

AI that does real work for your business

Assistants that answer customers instantly, agents that update your systems, and automations that remove hours of manual work — grounded in your data, with people in control.

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Capabilities

What we build with AI

Thirteen ways AI and automation can take work off your team and serve customers faster.

AI Chatbots

Website and in-app assistants that answer from your approved content and hand over to a person when needed.

AI Customer Support

Triage, suggested replies and instant answers to routine questions, so your team handles only what needs them.

AI Voice Agents

Phone assistants that answer common queries, capture details and book appointments in natural speech.

WhatsApp AI

Assistants on the official WhatsApp Business Platform for enquiries, orders, reminders and updates.

AI Lead Qualification

Ask the right questions, score intent and route hot leads to sales with full context.

AI Document Processing

Read invoices, forms, IDs and contracts; extract and validate data for your systems.

AI Knowledge Base

A single place where staff ask questions about SOPs, policies and manuals in plain language.

RAG Applications

Answers grounded in your documents and data, with sources cited so they can be checked.

AI Agents

Assistants that act — create tickets, update the CRM, schedule visits — within limits you set.

Workflow Automation

Connect forms, sheets, CRMs and apps so data moves automatically and reliably.

Business Process Automation

Approvals, reminders, renewals and reports that run on schedule with full logs.

AI Analytics

Ask questions of your business data in plain English and get charts and summaries.

Computer Vision

Image-based inspection, counting, OCR and quality checks from photos or cameras.

See it in action

How an AI workflow runs, step by step

Pick a team to see a typical automated flow.

  1. 1

    New enquiry arrives

    From your website, ads or WhatsApp — any time of day.

  2. 2

    AI qualifies the lead

    Asks about budget, location, timeline and needs in natural conversation.

  3. 3

    Visit or call is booked

    Offers available slots and confirms instantly.

  4. 4

    CRM updated, team alerted

    Lead score, transcript and next step land with the right sales rep.

Responsible AI

How we build AI you can trust

Practical safeguards built into every AI project.

Start with one measurable problem

We pick a high-volume, well-defined task first, measure it, then expand.

Grounded in your data

Answers come from approved sources, not the model's general memory.

Humans stay in control

Sensitive actions need approval, and uncertain cases go to a person.

Private and secure

Enterprise API terms, access controls, redaction and self-hosted options when required.

Costs you can predict

Model choice, caching and limits designed around your budget.

Monitored after launch

Conversation review, accuracy checks and continuous improvement.

Our approach

From first use case to AI across your business

  1. 01

    Find the use case

    We identify high-volume, well-defined tasks where AI can save time or win customers — and how we'll measure success.

  2. 02

    Prototype on your data

    A working prototype using your real content, so you can judge quality before committing.

  3. 03

    Pilot with guardrails

    A limited rollout with topic limits, human review and escalation in place.

  4. 04

    Launch & integrate

    Connected to your website, WhatsApp, CRM or internal tools, with monitoring.

  5. 05

    Measure & improve

    Regular review of conversations, accuracy and cost — then expand to the next use case.

  6. 06

    Scale across teams

    Reuse the foundations for new assistants, agents and automations.

Technology

Models and tools we work with

  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Open-source LLMs
  • LangChain
  • LlamaIndex
  • Vector databases
  • Python
  • FastAPI
  • Node.js
  • n8n
  • WhatsApp Business Platform
  • OCR
  • Computer vision

Trademarks belong to their owners; listing them describes the tools we use, not a partnership.

FAQ

AI & automation questions

Which AI models do you use?

We work with leading models from providers such as OpenAI, Anthropic and Google, as well as open-source models that can be self-hosted. We choose per use case based on quality, cost, latency and data-privacy requirements.

Is our business data used to train AI models?

We use enterprise API terms under which providers do not train on your data, and we can self-host models when data must stay on your own infrastructure.

How do you stop the AI from giving wrong answers?

We ground answers in your approved content (retrieval-augmented generation), show sources, restrict topics, test against real questions before launch, and route uncertain or sensitive cases to a person.

Can the AI work on WhatsApp?

Yes. We build on the official WhatsApp Business Platform. API credentials are kept on the server and never exposed in your website or app.

How long does a first AI project take?

A focused prototype on your data can usually be shown quickly; a production launch takes longer depending on integrations and review. We agree milestones up front.

What does it cost to run?

Running costs depend on message volume and model choice. We estimate them during scoping and design for predictable monthly costs.

Build an AI solution with Haptags

Start with one problem. We'll show you a working prototype on your own data before you commit to a full build.

Build an AI SolutionTalk to an AI Expert
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