AI Automation
4-Week AI Sprint
In four focused weeks we take the one process that hurts most and hand over a working system your team is trained to run.
The 4-Week AI Sprint turns one approved workflow into a working operating layer. The engagement includes design, implementation, testing, team training and written handover instructions.
What the engagement covers
- A working build: configured automations, prompts and rules — not a mockup
- Step-by-step instructions for your team, in plain language
- Training: we show your people how to run the system
- Edge-case testing and a documented handover
Final scope, timeline and implementation boundaries are confirmed in conversation. AI Automation is custom work, not an AI Visibility subscription.
When this scope fits
- One workflow has a clear owner and a measurable operating problem
- The required tools and decision-makers can be available during the build
- The team wants a working first system without expanding into a company-wide transformation
How the engagement works
- 01
Design
Confirm the workflow, data flow, approval rules, tools and acceptance criteria.
- 02
Build and test
Configure the system, test normal and edge cases and record unresolved limits.
- 03
Handover
Train the team, provide written instructions and confirm who owns daily operation.
What exists at the end of each week
Four weeks is the published length of this engagement. The dates are agreed before it starts and do not move without a written reason.
Week 1
Agreed design
The workflow, data flow, approval rules, tools and acceptance criteria are confirmed in writing. If something does not survive this week, it does not get built.
Weeks 2–3
A working build, tested
Configured automations, prompts and rules — running, not mocked up. Normal cases and edge cases are both tested, and unresolved limits are recorded as they are found.
Week 4
Handover and training
Your team is trained on the live system, the written instructions are delivered, and one named person takes ownership of daily operation.
After
It runs without us
The system lives in your accounts, the rules are readable by whoever inherits them, and the known limits are stated rather than discovered later.
Operating range
Where these systems already run.
Founded and led by Selena Nigmatullaeva — Founder & AI Systems Architect. Every system here is designed and built hands-on, not outsourced.
- KORA Food Hall
Hospitality operations
Menu, vendor, customer communication and local operations workflows shaped into a clearer operating model.
AI Sales · AI Operations · AI Content
3 AI flows in productiontenant outreach · content · daily ops digest — own venue, built hands-on
- PetID.care
Care and service infrastructure
Customer, pet profile and support workflows organized around trust, data and repeatable assistance.
AI Knowledge Base · AI Operations
- Doki.help
Documents and support
Document-heavy processes translated into clearer guidance, intake and customer-facing support paths.
AI Knowledge Base · AI Automation
- remhaos.com
Real estate and interiors
An AI-assisted presales flow for interior designers: project intake, risk review, pricing context and proposal preparation.
AI Sales · AI Automation
- otherbali.com
Travel media and guides
A Bali guide and media platform: places, guides and recommendations organized so visitors and residents find the right answer quickly.
AI Content · AI Knowledge Base
- VillaOps
Villa & hospitality operations
An operating system for villa management and guest services — day-to-day operations organized into one clear workflow.
AI Operations · AI Automation
Outcome figures for AI Automation engagements are not published: they have not been measured on terms that would survive being printed next to a price. Where results are published on this site, they carry dates and keep their zeros — see the measurement journal, which covers AI Visibility rather than this work.
FAQ
Before you commit
Why one process and not several?
Because four weeks is enough to finish one workflow properly — designed, built, tested, handed over — and not enough to half-finish three. A system nobody was trained to run is not a result. If several processes need work, the audit prioritizes them and the sprint takes the first.
How much of our team's time does this take?
Concentrated in week 1 and week 4: the design decisions and the training. Weeks 2 and 3 are build and test on our side, with short check-ins. The people who must be available are the process owner and whoever approves the decisions the workflow makes.
What access do you need to our systems?
Only what the agreed workflow touches, and only for the accounts it runs on. Access is requested per tool, in writing, and can be revoked at handover. We do not ask for admin access to systems outside the scope, and we do not move customer data anywhere it was not already stored.
What stays with a human?
Every decision where a mistake carries real cost: money leaving the company, a promise to a customer, anything legal, and anything sent under your name to someone who matters. The system prepares and proposes; a named person approves. Which steps those are is written down before the build starts and again in the handover.
Who owns the system after you leave?
You do. Everything runs inside your own accounts and tools, the rules are written in plain language, and the handover names the person on your side responsible for daily operation. There is no dependency on us to keep it running, and no licence that expires.
What if it does not work?
Where something is built, normal cases and edge cases are both tested before handover, and anything still unresolved is written into the handover rather than left silent. Testing narrows what reaches production; it does not promise nothing will fail there, which is exactly why the approval boundary and the written limits exist. And if a workflow turns out to be a bad fit for automation during the engagement, we say so and stop building it — that answer is part of the work, not a failure of it.