Nile Automate

Melbourne · AI & Automation

Automate the recurring, predictable tasks.

Let your team focus on the calls only people can make.

Book an intro callSee our approach
  • Not used for AI training by default
  • Runs in your own accounts
How the work runs
How Nile Automate automates a business with Claude: map the work, connect your tools to Claude, teach it your business, automate the routine, you approve what goes out, and the team equips yours to run it with runbooks and training.
Your tools in. Finished work out. You approve in between.

The problem

Your week is full of work AI could be doing.

  1. Scattered meeting notes and follow-up emailsTemplates exist. Nothing is automated.
  2. The same client data in multiple CRMs and databasesNothing is standardised.
  3. Processes that aren’t documented or up to dateAutomation like n8n or Make could run them.
  4. The AI product you approved or bought, sitting unusedWaiting for a spare resource.

Your whole team is too busy to fix it. We’ve got you.

The solution

Wherever the work repeats, we set it up.

In any department where the work repeats. You choose where to start, and your team learns to run each system as it’s built.

  • Admin and operations

    Client and job records kept current, a follow-up after every call, and one list of what’s open or overdue.

  • Sales

    Proposals and quotes built from your templates and past jobs, and no enquiry left without a reply.

  • Marketing

    Posts, newsletters and campaigns drafted in your voice from what customers actually ask, and a report on what brought in work.

  • Finance and reporting

    Weekly and monthly reports pulled from the same records, and the paperwork prepared for your bookkeeper to check.

  • Customer service

    Replies to common questions drafted from your own policies and past answers, for a person to send.

  • People and training

    Training material and onboarding packs produced from your products and processes, ready for you to review.

Proof

Five hours down to thirty minutes.

The same job, before and after the system was installed. Same founder, same tools, same output.

Before

The founder, doing every step by hand.
  1. 01Download each new product and read all its information.
  2. 02Build the presentation from it, slide by slide.
  3. 03Record the video with a manual voiceover, in one sitting.
  4. 04Then launch it to the franchisee network.
Every productFive hours

After

The founder, checking what’s already made.
  • The product information is read and structured for her.
  • The presentation is drafted in her format, ready to review.
  • The training video is produced and ready to launch.
  • She checks it, approves it, and it goes out.
Every product, on her own toolsThirty minutes
Before300 min
After30 min

Case study: a Melbourne franchise founder launching product training to her franchisee network. Five hours down to 30 minutes.

Our approach

Clarity first. Automation second.

Step 01. Discovery.

How long it takes

  • Solo operator: one day
  • Team of 5 to 10: one to two weeks
  • Bigger teams: varies by complexity and size

What happens

  • We work inside your real tools
  • We talk to the people who do the work
  • We list every tool and spreadsheet that holds your data
  • Every bottleneck gets a dollar figure, in your own numbers

Step 02. Scope & plan.

How long it takes

  • Part of discovery: we document your existing processes
  • Hours to days to brief all stakeholders

What happens

  • A written plan, ranked by what each fix returns
  • Scope, timeline and budget set out in writing
  • We say upfront which parts are proven and which are experiments
  • Sign-off and official kickoff, or keep the plan for future use

Step 03. The build.

How long it takes

  • Most builds: one to three months
  • Depends on company size and operational complexity

What happens

  • One working session a week
  • One improvement shipped each week, with a short written update
  • One department at a time: map, design, migrate, automate
  • Nothing is automated until your team is using the system

Step 04. The handover.

How long it takes

  • It starts the moment workflows are affected: we train as we go
  • We stay on until your team runs it alone

What happens

  • A runbook for every system
  • Your team trained on each system as it is built
  • Everything stays in your accounts
  • The goal: your team runs it all without us

You end up owning it. The business runs on it. Nothing leaking.

Built in-house

Our projects.

We are tinkerers and builders. Here is what we have shipped.

Your client data

Built for work that touches client data.

Use AI on the sensitive stuff without leaking customer information. The engagement handles it by structure, not willpower.

No-training tool tier

Claude for Work, Team or Enterprise, where your inputs are not used to train the models by default.

Redact before paste

Personal details are stripped out before anything reaches a prompt.

Locked-down environments

Separate spaces where the AI itself refuses to echo sensitive content back.

Your own account

It runs in your Claude account, on your tools. Never on my infrastructure.

The setup builds safe AI usage. It isn’t compliance or legal advice.

The team

Who you’re hiring.

Nhial Majok, AI and automation lead at Nile Automate

Nhial Majok

Founder · AI & Automation Lead

Melbourne, Australia

I build the systems I run my own business on, then set them up to fit yours. I’ve spent two decades in IT, six and a half of those years at IBM building enterprise infrastructure for ANZ, Westpac, Myer and Ausgrid, where handling data safely wasn’t optional. These days Claude runs underneath my writing, research and operations every day, and that’s the discipline I bring to every build.

  • BackgroundTwo decades in IT, six and a half of them at IBM on enterprise infrastructure
  • ExperienceCentrelink · IBM · IBM clients (ANZ, Westpac, Myer)
  • FocusAutomation and AI for owner-led businesses of 5 to 100 people, built on the tools they already own
Abraham Wei, AI engineer at Nile Automate

Abraham Wei

AI Engineer

Kampala, Uganda

I spent more than fifteen years in humanitarian and development communication across South Sudan, Kenya and Uganda, writing reports that decision-makers far away had to act on. I bring the same discipline to AI: the machine writes the first draft, and a person checks what is known and what is uncertain before anything goes out.

  • BackgroundHumanitarian and development communication across East Africa
  • ExperienceWorld Vision · REACH · IMPACT Initiatives · DT Global
  • FocusAI products and workflow automation, including local and open-source AI

Ready to start? We take on a small number of clients at a time, so your build has our full attention. Book a free 30-minute intro call

Do I need to know anything about AI before the call?

No. Even if today is the first day you’ve thought about using AI properly, the engagement starts at the basics. The point is to end up with a working system and the ability to run it.

Can I use this with confidential client documents?

Yes, and that’s a large part of the point. The setup uses a no-training tool tier, a redact-before-paste habit, separate locked-down environments, and the chat rating button switched off across your organisation, so you can put AI to work on sensitive material without exposing client data. It sets up safe AI usage, not legal or compliance advice.

How does pricing work?

Discovery is priced up front, and you get the figure on your intro call before you commit to anything. Half your discovery fee credits toward your build. The build is quoted from what discovery finds: a monthly amount for an ongoing engagement, or a fixed number for a bounded build. You see every number before you commit.

Why can’t we skip discovery?

Because skipping the mapping means guessing what to build, and systems built from guesses don’t get used. Discovery finds how the work runs on the floor, not just in the org chart. That’s why what we build gets adopted.

What about the tools we already have?

The goal is to remove tools, not add one. Most businesses this size run fifteen or more subscriptions, some used by one person or by nobody. The build consolidates onto fewer tools you already own, and the subscriptions you cancel usually fund part of the work.

Which system should I pick?

If the bottleneck is the back office, the AI Operations System. If it’s consistent marketing without a hire, the AI Marketing System. Most businesses start with operations, because marketing leans on it. We choose together on the call.

What do I need before the call?

An active Claude account, uninterrupted time for discovery, and answers to a short pre-call form I’ll send when you book. The best outcomes come from Claude for Work, Team or Enterprise, because those plans do not use your inputs for training by default. We confirm the right plan on the call and set the data controls with you.

Can my whole team use this?

Yes. The systems run on your own Claude account, so the team works from the same context and handoffs stay clean. We scope the setup on the call.

What happens when you leave?

That’s planned from week one. Every system comes with a written runbook, you learn it as it’s built, and you keep the accounts, the tools, and the capability. After handover you can keep me on call for a quarterly review or an ad-hoc tune-up. No lock-in.

What about ChatGPT or Gemini?

Different tools, different setup. I go deep on one platform, Claude, so your setup is built properly and privately, not spread thin across three tools that half-work. If you need help across multiple AI tools, book a call and we’ll talk it through.

Start

Book an intro call.

We talk through your work, then I quote discovery.

Book an intro call[email protected]

A free 30-minute call. You leave with a scoped plan and the discovery price. No obligation.
Every discovery ends in a plan you can act on, or you get a full refund. Conditions apply; see our Terms.
Walk away with an AI system that’s actually yours.

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