AI Consulting

We build your company an AI team.

From customer service to accounting, from sales to production, we analyse repetitive work, connect AI workers to your systems and train your team. You always make the final call.

Analysis before toolsHuman-approved AIPrivacy-first setupMeasurable goals
Intro · 1.5 minutes

How does an AI team work inside your company?

From the problem to the solution, department by department: see how Kieosa builds an AI team for your company.

Kieosa AI

Build your AI team with Kieosa.

Free discovery call

The same work every day 0:00 / 1:27
Read the narration
  1. The same work every day. Every day, your team answers the same questions, fills in the same forms and prepares the same reports.
  2. Uncontrolled use. Your employees already use AI. But mostly with personal accounts, and company data leaves without anyone noticing.
  3. Pilots without results. Most companies are trying AI, but only a few get measurable results.
  4. Analysis first. Kieosa first analyses your work and picks the tasks where AI adds the most value.
  5. In every department. In customer service, a voice assistant answers calls and books appointments. In accounting, it reads invoices, matches them to orders and catches duplicates. In sales, it ranks customers by priority and drafts the quote. In HR, it pre-screens applications. In production, a camera pulls defective items off the line. And it answers your employees' questions from company documents, showing the source.
  6. You decide. You always have the final say. Nothing goes out without your approval, personal data stays protected and every step is logged.
  7. Training and measurement. We train your team and measure the results with you every month.
  8. Let's begin. Build your AI team with Kieosa. The first step is a free discovery call.
Why now?

AI is already in your company. What matters is setting it up right.

Employees are using AI on their own, while most companies get no results from their pilots. Consulting closes that gap.

78%

of AI users bring their own AI tools to work. Company data can end up in personal accounts.

Microsoft Work Trend Index, 2024
88%

of companies regularly use AI in at least one business function.

McKinsey, The State of AI 2025
39%

of companies report any impact of AI on operating profit (EBIT). Use is widespread; results are limited.

McKinsey, The State of AI 2025
Departments

What can AI do in each department?

AI does more than answer emails. It can take on repetitive work in every part of your company. The solutions we set up most often:

Customer service

  • Chat assistant answering 24/7 on web, WhatsApp and Instagram
  • Voice assistant that answers calls and gives appointment and order updates
  • Classifying requests by topic and priority
  • Call summaries and satisfaction analysis

Sales

  • Scoring leads by priority
  • Auto-completing CRM records
  • Quote and presentation drafts from your price list
  • Logging call notes into the CRM

Marketing

  • Multilingual product and campaign copy
  • Social media content calendar
  • Customer review analysis
  • Visibility in AI search

Finance and accounting

  • Reading invoices and entering them into your system
  • Matching invoices, purchase orders and delivery notes
  • Catching duplicate and incorrect invoices
  • Collections follow-up and cash-flow forecasting

Human resources

  • Pre-screening applications and scheduling interviews
  • Onboarding assistant for new hires
  • Answering questions about leave and benefits
  • Preparing training content

Operations and supply

  • Demand and stock forecasting
  • Supplier correspondence and order tracking
  • Shipment updates for customers
  • Weekly operations report

Production

  • Camera-based quality control
  • Predicting failures from sensor data
  • Production plan suggestions
  • Workplace safety alerts

IT

  • Help desk assistant for employees
  • Knowledge assistant that answers from company documents, with sources
  • Permission-aware access: everyone sees only what they should
  • Technical documentation

Management

  • Asking questions about reports in plain language
  • Meeting notes and action lists
  • Weekly management summary
  • Budget and performance alerts

Not every company needs all of them. In the discovery call we pick the 2–3 areas that will add the most value for you.

Integration

Connects to the systems you already use

No need to switch software: AI workers operate inside your existing tools.

Communication

Email (Gmail, Outlook)WhatsApp BusinessInstagramPhone system

Sales and e-commerce

HubSpotSalesforcePipedriveShopify

Accounting and ERP

LogoNetsisMikroe-invoicing providers

Office and documents

Google WorkspaceMicrosoft 365Drive · SharePointNotion

AI models

ClaudeChatGPTGeminiOpen-source models running in-house

Automation

n8nMakeZapierCustom API connections

How each system connects is clarified during discovery; some software requires API support from the vendor.

Services

From analysis to setup, from training to measurement

We start with your business needs, not with tools.

Process analysis and roadmap

We measure where your team's time goes, rank the work where AI adds the most value and produce a 90-day plan.

Data readiness

We check which data each task needs, where that data lives and how well organised it is.

Tool and model selection

We compare models and platforms on cost, security and data location, and choose the right fit. AI tools guide

Setup and integration

We set up the AI workers, connect them to your systems and test them in a two-week pilot.

Governance and data protection

We put in place a usage policy, permission table, audit log and approval flow, and can guide your preparation for ISO/IEC 42001 and the EU AI Act.

Training · Kieosa Academy

In our paid programme your team learns, hands-on, to manage AI workers, write good instructions and review the results.

Measurement and monthly operation

We report time saved, quality and cost every month. We drop what doesn't work and scale what does.

Example scenarios

How AI works in your business

Typical needs from different industries and the approach we recommend.

Restaurants and cafés

Situation
Questions about bookings, menus and opening hours flood the phone and DMs.
Approach
AI drafts replies to common questions, the team approves and sends; menu and hours are updated from a single source.
Goal
Less time spent on repetitive messages

Clinics and healthcare

Situation
Appointment reminders, pre-treatment information and FAQs are written by hand.
Approach
Personalised drafts from approved templates — without sending patient data to AI tools.
Goal
Faster patient communication, privacy protected

Real estate

Situation
Each listing needs its own description, social post and customer replies.
Approach
Description, title and post drafts from listing data; incoming enquiries sorted automatically.
Goal
Shorter time to publish listings

E-commerce

Situation
Product descriptions, return questions and campaign copy eat up the team's time.
Approach
Product and campaign copy generation, suggested support replies, a weekly sales summary.
Goal
Lower content and support workload

These are example scenarios, not client results; benefits vary by business and are measured together during discovery.

Process

How we work

01

Discovery call

Free, about 30 minutes. We listen to your business and goals.

02

Roadmap

A written plan with priorities, recommended tools, estimated time and cost.

03

Implementation and training

We set up the tools, build the workflows and train your team.

04

Follow-up

We measure results together and adjust where needed.

Coming soon · Kieosa Studio

Meet your virtual office

Every AI worker has a name, a role and permissions. You talk to the manager; the manager hands the work to the team and brings results for your approval. Your people focus on strategic work while routine processes are handled by your AI team.

Example setup · design preview
✉ CanCustomer supportInboxElifSalesDenizContentAdaManagerMertOperationsYou✓ Approval
A
AdaManager

Receives work, prioritises it, delegates to the team and summarises results for you.

“4 new requests: quotes went to Elif, the shipping question to Can.”
C
CanCustomer support

Answers incoming questions and tracks order and appointment status.

“I checked with the courier; a reply draft for the customer is ready.”
E
ElifSales

Prepares quote drafts and follows up with leads.

“The bulk-order quote draft is ready, based on the price list.”
D
DenizContent

Writes social, blog and product copy and keeps your Kieosa profile up to date.

“This week's 3 posts and the new menu description are ready.”
M
MertOperations

Tracks invoices and payments and prepares the weekly report.

“2 payments are late; reminder emails await your approval.”
AAdaManager
Ada, collect this week's quote requests and draft replies to the important ones.
On it. There are 4 requests: 2 bulk orders, 1 corporate, 1 general enquiry. Elif is drafting the quotes, Can is answering the general question.
Drafts are ready. I'll wait for your approval before sending.
✓ Review and approve drafts

How it works

  1. A request arrives (email, form, message)
  2. The manager prioritises it and assigns a specialist
  3. The specialist prepares a draft
  4. You approve, then it's sent

You stay in control

✅ ApprovalEvery outgoing email, quote and post needs your approval.
🔐 PermissionsEach worker only accesses the tools you allow for their role.
🧾 Audit logWho did what, when and why — every step is recorded.
💰 BudgetA monthly AI spending limit, with alerts before it's reached.

Names and roles are examples; you choose your own team, names and duties. Kieosa Studio is in development.

Coming soon In development

Kieosa Studio

Run your business from one screen; your AI workers prepare the tasks, you make the final call.

Design preview · sample data
Kieosa Studio
Inbox 3
Web formPrice quote for a bulk orderSales
EmailMy order still hasn't arrivedUrgent
KieosaNew review: ★★★★★Info
✦ AI summary

3 new requests today: 1 urgent (order issue), 1 sales opportunity. 2 reply drafts await your approval.

Reply draft readyApprove
Tasks
Review the quote draftAI · Sales
Ask the courier for an updateYou

One inbox

Messages from your apps, forms and email in one place; AI highlights what matters and summarises it.

Notes and tasks

Keep notes, turn messages into tasks and assign them to your team or your AI workers.

AI workers

AI agents in roles such as support, content and SEO. They only access the tools you allow; anything going out needs your approval.

Management tools

Activity log, cost tracking and budget limits — see and audit every step.

Kieosa Studio is not available yet. Join the waiting list to be among the first users.

FAQ

Questions you may have

Who is it for?

SMEs and larger companies that want to use AI but don't know where to start. You don't need a technical team.

Do AI workers make decisions on their own?

No. They draft, classify and suggest. Every action, such as a message to a customer, a quote or a payment, is approved by a person you designate.

Where does our data go?

We decide together which data may go to which tool. Personal data such as ID numbers, card details and health data is never sent to AI. If needed, we set up models that run in-house.

Which systems does it work with?

Common systems such as email, WhatsApp, CRM, accounting and ERP software, Google Workspace and Microsoft 365. The connection method is clarified during discovery.

How long does it take?

The discovery call takes about 30 minutes. Analysis takes 1–2 weeks; setup and pilot usually 4–8 weeks, depending on how many systems are connected. The timeline is written into the plan.

How is pricing set?

The discovery call is free. Analysis is a fixed fee; setup is priced per project and monthly operation by the number of AI workers. Academy training is charged separately.

When will Kieosa Studio launch?

It is in development. We'll email everyone on the waiting list when early access opens.

KIEOSA

Want to be visible in AI search too?

Getting ChatGPT, Gemini and Perplexity to recommend your business with accurate information is a separate service.

Explore the Kieosa profile →
Let's start

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