Customer requests stay unanswered
Emails, forms and follow-up questions are answered too late because nobody is permanently available during daily operations.
AI employees for real office work
Hire an AI employee who takes daily work off your team.
CODIKI develops and operates digital roles that handle requests, bring information together from your systems, prepare results and hand critical steps to your team in a controlled way.
Individually configured - integrated into your systems - with clear approvals.
C
Digital sales assistant
Active
Tasks
- Reviews and qualifies new inquiries
- Asks for missing project details
- Prepares CRM notes and offer drafts
- Submits binding commitments for approval
EmailCRMCalendarOffer templates
Around the clock
ready for new intake
Traceable
work steps and handovers stay visible
Controlled
prices and commitments only after approval
Bottlenecks
Where does your company lose time today?
An AI employee is especially useful where tasks recur, information is already digital and specialists are tied up by repeatable work.
Offers are created too late
Information must be collected, questions clarified and offer drafts repeatedly prepared by hand.
Knowledge sits in individual heads
Employees answer the same questions again and again even though documentation and experience already exist.
When systems do not talk to each other, people become the interface.
Customer requests arrive by email, customer data sits in CRM, prices and availability live in ERP, and appointments are kept in the calendar. Employees have to collect, transfer and keep this information up to date by hand. That costs time, creates media breaks and increases the risk of mistakes.
An AI employee connects these work steps. It reads information from approved sources, compares it, updates systems and prepares the next action. Decisions, binding commitments and special cases remain with people.
Separate systems become one continuous workflow.CODIKI develops digital roles exactly where work has to continue across systems.
Example roles
How an AI employee can support your company.
The useful role depends on the work that is left behind or regularly costs your team time. These example employees combine typical starting points with concrete responsibilities, tools and handovers.
The task appears often enough that consistent preparation or follow-up creates visible relief.
Emails, CRM data, documents, tickets or other sources can be named and safely made available.
Prices, promises, payments, legal questions and unusual cases have a responsible human owner.
Current role: Mila, Customer service employee, 1 of 3
Customer service
Mila
Customer service employee
Handles recurring customer requests from inboxes, forms or chat, checks the available context and prepares helpful replies in your tone.
Takes over
- Classify new requests
- Check order and customer context
- Prepare replies in your tone
- Hand over exceptions with context
Works for example with
EmailCRMKnowledge baseTicket system
Best for
Support inboxes, order questions, appointment requests and first-level service with many similar cases.
Handoff
Discuss this role
Hands over unclear, emotional or legally sensitive cases before a final answer reaches the customer.
Product advice
Nora
Product advisor
Guides customers through complex offers, compares approved product information and turns uncertain visitors into better qualified inquiries.
Takes over
- Ask clarifying questions
- Compare suitable options
- Prepare next-step recommendations
- Capture buying intent
Works for example with
Product dataWebsite chatShop systemCRM
Best for
E-commerce, technical products, service packages and consulting-heavy sales.
Handoff
Discuss this role
Hands over high-value, unclear or contract-relevant opportunities with a clean summary.
Sales assistance
Leo
Sales assistant
Qualifies leads, follows up on conversations and keeps opportunities moving without forcing sales teams into repeated admin work.
Takes over
- Qualify requests
- Prepare CRM notes
- Draft offer inputs
- Schedule next actions
Works for example with
CRMCalendarEmailTemplates
Best for
Inbound leads, quote preparation, pipeline hygiene and follow-up sequences.
Handoff
Discuss this role
Hands over when pricing, negotiation, discounts or binding commitments need a human decision.
How it works
How an AI employee works in your company.
An AI employee receives a clear role, uses approved company knowledge and works with the systems your team already uses. Critical decisions, binding commitments and special cases remain under human control.
Cases are captured
Emails, forms, phone notes, documents or internal tasks reach the digital role through defined channels.
Task and situation are understood
The AI employee considers the role description, company knowledge, history and defined rules.
Work is prepared or carried out
Approved tools and systems provide information and allow defined updates or next steps.
Critical steps stay with humans
Unclear cases, binding commitments and risky changes are handed over completely or approved before execution.
Introduction
How a bottleneck becomes a productive digital role.
CODIKI plans an AI employee like a real role: tasks, knowledge, systems, permissions, boundaries and quality goals are clarified first. Then the role is set up, tested in daily work and expanded step by step.
What the free first call clarifies
The first call is a practical fit check, not a sales demo. A concrete bottleneck is enough; CODIKI checks whether it can become a responsible first digital role.
- Which recurring task should be relieved first
- Which systems, documents or people provide the context
- Where volume, approvals or risk make setup worthwhile
1. Free first call
We clarify which work is left behind, how often it occurs and whether an AI employee is a sensible option.
2. Needs analysis and job profile
Tasks, knowledge, systems, permissions, boundaries, approvals and quality goals are described concretely.
3. Setup and onboarding
CODIKI sets up the work environment, connects approved systems and trains the role with documents, rules and examples.
4. Controlled pilot
The role handles real cases under close review. Results, handovers and special cases are evaluated.
5. Operation
The deployment is expanded step by step. CODIKI operates the environment, monitors technology and quality, and evaluates extensions separately.
When the role is expanded
A pilot is only expanded when the work is understandable, repeatable and responsibly controllable in daily operation. If these signals are missing, CODIKI keeps the role in review, narrows the scope or recommends a different first use case.
Ready to expand
- Real cases produce useful drafts or updates
- Handovers reach the right people with enough context
- Errors, unclear cases and costs are visible
- The team knows which decisions remain human
Keep in review
- Inputs are too inconsistent or missing too often
- Required knowledge is not available in a usable form
- Approval responsibilities are unclear
- The expected relief does not yet justify setup and operation
Control
Automation with clear boundaries.
An AI employee may only do what role, access and approval rules allow. CODIKI plans control from the beginning, not as an afterthought.
Access only to explicitly approved systems and dataApprovals for prices, payments, contracts and commitmentsTraceable actions, errors and handoversStep-by-step introduction before independent execution
Ask about security and operation
Responsibility
Not just set up. Supported in operation.
CODIKI combines process understanding, software development, integrations and ongoing care under one responsible provider. Before setup starts, the role is checked for real fit: available information, approval points, cost drivers and the work that should stay with people.
Personally accountable
CODIKI handles the project and reviews whether a use case can become a realistic digital role before recommending setup.
Fit before automation
If data, permissions, approvals or expected relief are not clear enough, CODIKI recommends preparation or a smaller first role.
Introduced under control
Real cases are processed under close review before the deployment is expanded step by step.
Continuously cared for
Technology, knowledge, rules, errors and quality are monitored, updated and improved after launch.
What is checked before setup
A first role is only recommended when the operating frame is clear enough for responsible daily use.
- Which work repeats often enough to justify setup and care
- Which systems, documents and permissions are actually needed
- Where approvals, handovers and escalation paths belong
- Which risks, cost drivers or missing data argue for a smaller start
Questions and answers
What companies want to know before their first AI employee.
An AI employee is prepared individually for its role, your workflows and the systems you already use. Here are the most important questions before getting started.
What makes an AI employee different from a chatbot?
A chatbot mainly answers individual inputs inside one interface. An AI employee receives a defined role, uses approved company knowledge and works with connected tools. That means it can handle, document and hand over tasks across several work steps.
Which tasks are a good fit for an AI employee?
Recurring tasks are a strong fit when information is already digital and can be processed by clear rules. Examples include sorting customer requests, preparing offers, maintaining CRM data, research, document summaries and appointment coordination.
Does an AI employee work completely independently?
Only within previously defined boundaries. For each role, CODIKI defines which tasks can be handled independently, which actions are only prepared and which decisions require human approval. Binding commitments, payments or critical changes can remain subject to review.
Can our existing systems be connected?
In many cases yes. Depending on the technical starting point, email, calendars, CRM, ERP, document storage, shop systems, databases and custom applications can be connected. Before implementation, CODIKI checks interfaces, permissions, data quality and security requirements.
What does the entry cost?
The needs analysis with digital job profile costs 490 EUR and is credited in full if implementation follows. The setup of a clearly scoped first digital employee starts from 2,900 EUR. Integrated AI employees are often between 5,900 EUR and 9,900 EUR. Operation starts from 490 EUR per month for the agreed runtime environment. LLM, API and license costs remain individual and usage-dependent. Additional tax may apply depending on your country.