AI Automation
AI Audit
A focused diagnostic for founders who need clarity before they invest in a build.
An AI Audit is a pre-build review of one business workflow. It maps the current process, identifies where AI can help, records the human approval boundary and turns the evidence into a scoped next-step brief.
What the engagement covers
- Workflow review
- AI opportunity map
- Priority recommendations
- A scoped next-step brief
Final scope, timeline and implementation boundaries are confirmed in conversation. AI Automation is custom work, not an AI Visibility subscription.
When this scope fits
- A process is visibly slow or repetitive, but the cause is not yet clear
- Several tools or AI ideas are competing for budget and attention
- The team needs a practical scope before committing to implementation
How the engagement works
- 01
Evidence
Review the workflow, inputs, tools, handoffs, decisions and failure points.
- 02
Opportunity map
Separate useful AI assistance from work that should stay manual or human-approved.
- 03
Decision
Prioritize the first build, dependencies, risks and the boundary of the next engagement.
What you have, and when
An audit is scheduled around your calendar rather than sold as a fixed number of weeks, so this is the order of the work, not a countdown.
Before we start
The workflow, in your words
You describe the process in plain language and name the people and tools it touches. Nothing is prepared or formatted on your side.
During the review
Evidence, then the map
Inputs, decisions, handoffs and failure points are recorded first. Only then is AI assistance separated from work that should stay manual or human-approved.
At the end
A scoped brief you can act on
A prioritized next build with its dependencies, its risks and the boundary of the next engagement — including the parts we recommend not automating.
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
Is the audit useful if we do not build anything afterwards?
Yes, and it is a normal outcome. The deliverable is the map and the scoped brief: they stay yours, they name what should not be automated as clearly as what should, and you can hand them to any implementer, in-house or otherwise. There is no obligation to continue with us.
How is this different from the 60-minute mini-audit?
The mini-audit is one conversation about one question, with a short memo after. The AI Audit reviews an entire workflow end to end — its inputs, decisions, handoffs and failure points — and produces a prioritized scope for a build. If you already know which process to fix, the mini-audit may be enough.
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.