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Generative AI

Conversational AI & Chatbots

Answer every customer in seconds, at any hour.

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Customers Don't Keep Business Hours

They message at 10pm, ask on Sunday, and want answers before you open. When nobody replies, they move to a business that does.

During the day your team answers the same twenty questions. Necessary work that crowds out everything else.

AI Handles Volume. Your Team Handles Relationships.

An assistant trained on your business answers instantly on WhatsApp and your website, qualifying leads and capturing details around the clock.

When a question needs a person, it hands over with the full conversation attached. Customers never repeat themselves.

What you get

  • WhatsApp Business API: where your customers already are
  • Knowledge base built from your actual FAQs, pricing, and policies
  • Lead qualification that captures key details automatically
  • Clean escalation to your team with full conversation history
  • English, Swahili, and other languages as needed
  • A dashboard to monitor conversations and update answers yourself

How We Work

  1. 01

    Document

    We map your most common customer questions and how your team currently responds to them.

  2. 02

    Build & Test

    Trained on your information and tested against real scenarios, including the edge cases.

  3. 03

    Pilot

    We train your team, then launch monitored so you see it working before going fully live.

  4. 04

    Optimise

    Real conversation data shows the gaps. This is where it goes from good to genuinely useful.

What to Expect

Answered at 2am and on weekends
Customers get a reply when they ask, without adding headcount to cover the hours.
The same question stops arriving
Your team handles complex issues, not the ones that repeat all day.
Leads caught while interest is high
Enquiries qualified when they land, not the following morning.
FAQ triage stops eating the day
Time back from answering the same things and chasing follow-ups.

Where This Has Been Needed

What clients came to us with, in their words. Names withheld by agreement.

Healthcare · Nairobi

“Our team spends half the day retyping information off documents.”

If your business runs on invoices, application forms, delivery notes or receipts, the same approach applies. The document changes; the pipeline does not.

Prescriptions and clinical visit notes were arriving as documents and leaving as manual data entry, several hours of it a day. We built a pipeline that reads them, pulls out the fields that matter, and passes them on structured, with review kept in place wherever a mistake would be expensive.

Construction technology · Kenya

“We want to use AI, but we do not know where to start or what could go wrong.”

Building the wrong thing first is the most common way AI budget disappears. A ranked plan costs a fraction of the first mistake it prevents.

A growing startup had more AI ideas than it could fund and no way to rank them. We mapped where AI would return most across client matching, onsite support and back-office work, sequenced it into what to build first, second and third, and set a lightweight risk and governance framework alongside it so the question of what could go wrong was answered before anything was built.

Central banking · Bank of Tanzania

“Our people have heard of AI. They do not actually use it.”

Training that runs on generic examples does not transfer. If it is built on the work your team did last week, it is being used the following morning.

We led the AI upskilling programme for executive and personal assistants at the Bank of Tanzania, built on how adults actually learn rather than on tool demonstrations. It ran on their real work: correspondence, diaries, complex travel, document drafting, and taught a working mental model for what to delegate, how to direct it, and when to check it.

Applied AI · Built on public clinical guidance

“The answer is somewhere in our documents. Nobody can find it.”

Contracts, policy manuals, SOPs, product catalogues. Wherever knowledge is locked in long documents that only two people know how to navigate.

Built against Kenya's national diabetes guidelines: chosen because a wrong answer in a clinical setting is dangerous rather than merely annoying: the assistant answers questions in plain English and attaches a citation that jumps straight back to the source page. It declines the questions it should not answer instead of guessing at them.

Common Questions

It only knows what you give it: it does not browse or guess. When it is not confident, it hands to your team. You update it yourself through a dashboard.

They can ask at any point. A ticket is created instantly with the full conversation, and your team picks up with complete context.

Yes. It detects the language and responds accordingly. English and Swahili as standard, others based on your customer base.

No. It is a first responder for repetitive questions, so your team can focus on complex issues and the conversations that grow revenue.

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