Workflow automation
Connect agreed tools, move information between them and run the recurring checks and handoffs.
AI automation for D2C teams
We make D2C brandsAI-native.
I build AI automations around the tools your team already uses, then show your team how to use them.
AI, built into
everyday work.
Your team’s work stretches across tools, files and conversations.
Mellow Kite brings AI into that work: gathering context, checking what needs attention and preparing the next action.
Your tools. Your processes. A team that knows how to use what we build.
Custom AI agents
Read approved sources, gather context, summarise issues and draft the next action within permissions you set.
Team handover
I’ll walk your team through how to use the automation, check its output and spot when it needs a human.
A day in D2C operationsStock arrived.
Stock arrived.
Orders are stuck.
A warehouse receipt looks fine. Orders are still waiting. Watch AI connect the stock records, reservations and warehouse update.
240 units received does not mean 240 available. Stock holds and existing reservations leave 20 units for 45 web orders. A warehouse update puts QC release after today’s pickup. AI connects the evidence and prepares a brief and draft follow-up for the operations owner to review. This issue becomes one row in the morning exceptions list, built from the team’s exports.
Inspired by responsibilities in a public logistics role. The film uses sample records; your team reviews the evidence and approves the next action.
Try it first: a free
AI automation pilot.
Pick one repetitive job your team does every week. I’ll build a basic AI automation for it from a sample export, with no credentials needed. You see it working before you spend anything. If it’s useful, we talk about running it properly.
A clear path
to everyday AI.
Assess the work. Design the solution.
Build it, then train the people using it.
Find the useful starting point.
We map your tools, recurring tasks and handoffs. Identify where AI can help and where a simpler automation fits.
A clear set of priorities.
Agree what good looks like.
Choose the first priority. Agree the inputs, access, review steps, scope, cost and checks before building.
A practical plan your team understands.
Put AI to work.
We build the agreed agents and workflows around your tools. Test missing data, failed steps and the cases that need a person.
A working system with a defined job.
Make it part of the day.
I’ll walk your team through how to use the automation, check its output and spot when it needs a human.
A team ready to use the automation.
Where AI can
earn its place.
A few D2C workflows to explore. The assessment decides what your brand needs, using your team’s actual work.
Catch the loose ends.
Automation compares stock and order records from agreed sources. An AI agent groups the exceptions, prepares an owner-specific brief and drafts the follow-up.
A clear exception brief. External messages reviewed before sending.
The people make it workAI your team
AI your team
knows how to use.
A practical handover is part of the automation I build for you.
I’ll walk your team through how to use the automation, check its output and spot when it needs a human.
We’ll work through the automation together before handover. Ongoing support is agreed separately.
A direct working relationship
Mellow Kite is led by Navneet. You work directly with the person mapping your workflow, building the system and helping your team use it.
Watch the operations filmGood questions.
Clear answers before we begin.
Do we need to know what to automate?
No. Start with the work that keeps coming back. We assess it with your team before recommending what to build.
What can an AI agent actually do?
It can follow agreed steps, read approved sources, use connected tools and prepare actions. We define its job, permissions and review points before building.
How is this different from a ChatGPT prompt?
A connected system gathers approved inputs, repeats agreed checks and routes the output to the person who needs it. AI prepares context-aware summaries and drafts; your team learns how to review and use them.
What if AI gets something wrong?
AI can be wrong. We use fixed rules for exact checks, test agreed examples and define where a person reviews the result. External follow-ups stay drafts until approved.
Will we have to replace our tools?
We start with your current tools. If a change is needed, we explain why and agree it before building.
What happens to our data?
The free pilot starts with a sample export, with no credentials needed. We agree the sources, access, AI tools and data handling before any production implementation.
How will our team learn to use the automation?
I’ll walk your team through how to use the automation, check its output and spot when it needs a human.
How does pricing and ongoing support work?
The pilot is free. If it’s useful, we agree the scope and cost of running the automation properly, including the handover. Tool subscriptions, monitoring, maintenance and further improvements are agreed separately.