Enterprise AI services
Xeromike provides an enterprise AI system plus an AI employee service that keeps expanding with your business. Not a handful of fixed features: start from one real business problem with one AI employee, then keep adding employees, capabilities, company data, workflows, customer channels, apps, integrations and automation — until you have your own AI work team.
Service scope
Every day a company produces work that can be digitalised, standardised, planned, executed and followed up automatically. These are the areas we deploy AI employees in most often — they are not the limit of the service.
Tasks, schedules, work logs, daily and weekly reports, coordination and escalation.
01WhatsApp, LINE, WeChat, WeCom, email and website enquiries — received, answered and followed up.
02Lead lists, customer analysis, first contact, follow-up, sales records and proposal preparation.
03Campaign planning, product promotion, customer cases, brand content and marketing copy.
04Facebook, Instagram and LinkedIn content, publishing, account care and audience replies.
05Articles, service pages, FAQs, help centre, company news and updates to existing content.
06Product images, ads, social visuals, website banners, brand assets and video content.
07Read the source material, then build Word, PPT, Excel, quotes, proposals and reports.
08New pages, layout changes, navigation, header and footer, SEO and long-term upkeep.
09Catalogue, descriptions, images, specs, categories, prices, publishing and unpublishing.
10Sort the inbox, extract key points, draft and send replies, and watch what is still unanswered.
11Invoices, receipts, bills, receivables, payables, reconciliation and finance reports.
12Job posts, CV screening, candidate contact, interview scheduling and onboarding files.
13Specialist employees for accounting, tax, audit, legal, compliance and business consulting.
14Real estate, e-commerce, cross-border trade, education, software, manufacturing, travel.
15Every company is different. The real boundary is not a fixed service list — it is how much of your work you want AI to take on.
AI executive & autonomous operation
Once a company has several AI employees, the real question stops being “can AI finish a task?” and becomes “who manages these employees and their work?”. The AI executive plans, assigns, supervises and reports — and can wake itself up on a schedule instead of waiting for a message.
Tasks & execution
Schedule & records
Reports & escalation
The owner stops managing every task and starts managing goals and results.
How work actually runs
A real job usually crosses several steps — and often several AI employees. These are the flows we set up most often. Each one ends with a record, a follow-up or a result, not with a chat message that someone still has to act on.
7 steps · WhatsApp · LINE · WeChat · Email · Website
6 steps · LinkedIn · Email · Product data
6 steps · contact list · templates · follow-up
6 steps · photo input · finance records
One request can cross several employees. Sales qualifies the need, the document designer builds the proposal, accounting prepares the numbers, email sends it, and the AI executive keeps following up — a multi-employee workflow, not a longer chat.
What you end up with
Eight parts fit together so an AI employee is not a demo, but a colleague with a job, a workspace, company data, business systems and a channel to the customer.
How it runs
Companies differ on cost, models, data, infrastructure and control. So an AI employee can run on a public node or on a private one — and it can start working on a plan instead of waiting for someone to type a message.
Best for a first employee or a small team.
Best when data, models or compliance come first.
Task plans and wake-up mechanisms let an employee start on its own — checking, dispatching and reporting on a rhythm the company chooses.
Every day
Every week
Every month
Where to start
Nobody needs twenty AI employees on day one. Pick one real business problem, put one employee on it, look at the result — then add the next role, and the next, until the team runs itself.
Ask one question: which work in this company loses the most time every single day?
One role, its data, its channel and its workflow — set up and actually running.
Look at the output, the response time and what the team stopped doing by hand.
Add the second and third role, then let the AI executive coordinate them.
Common places to start
One first. Then the second, then the third — and only then the AI executive.
Enterprise AI services
Your days should hold fewer questions about who replied, who has not sent the mail, whether the website was updated or whether a task is finished — and more about goals, results and the decisions only you can make.
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Xeromike · Enterprise AI systems and AI employees · Public or private nodes
