Private AI Office
An operated layer of AI workflows for email, documents, CRM, and internal requests.
- Shadow mode a schvaľovanie
- Audit log a prevádzkové hranice
- Ongoing quality control
Private AI Office · AI Worklab 90
We build AI agents that do the work for you
We start with one specific workflow. The agent first works in shadow mode, a person reviews its drafts, and only validated steps reach production.
1 workflowA clear owner, input, output, and metric.
Shadow modeDrafts first, without autonomous actions.
90 daysA working framework for team adoption.
Model workflowIllustrative example, not a client result.
INPUT VALIDATIONHUMAN IN THE LOOPAUDIT LOG
Two working tracks
AI capacity for operations and for your team
We do not deliver an anonymous chatbot. We select a workflow, define its boundaries, and hand over a solution with a person still at the control point.
AI Worklab 90
A working programme in which the team selects, validates, and adopts its first workflows over 90 days.
- Work mapping directly with the team
- A safe pilot in a real context
- A playbook and ownership after completion
Manual vs AILess retyping
Less retyping
Better decisions
The goal is not to remove the person. It is to move them from routine work to the points where judgement and accountability matter.
Manual
With an AI workflow
Request intake
A person reads every email and retypes the data.
+ The agent classifies the input and prepares a structured draft.
Decision
Rules live in people’s heads or in manuals.
+ The workflow applies approved rules and flags uncertainty.
Control
An error is often found only in the next step.
+ Shadow mode shows the draft before an action is performed.
Trace
The reasoning must be reconstructed manually.
+ Input, draft, approval, and action remain in the audit log.
3 engagements
Start with a scope you can control
A specific scope and price follow only after an initial workflow assessment. We do not present a model scenario as a guaranteed outcome.
Agent Due Diligence
An independent review of one workflow, its data, risks, and decision points.
- Current-process map
- Risks and a stop/go recommendation
Private AI Office
Design, deployment, and operation of workflows with a clear owner and human control.
- Shadow mode
- Monitoring & audit log
- Controlled changes
AI Worklab 90
A joint programme for a team that needs both its first working workflow and the internal ability to continue.
- Selection and prioritisation
- Pilot and adoption
- Operations playbook
Agent anatomy
A production agent is a system, not a single prompt
Each layer has its own job and must be independently controllable. That is why we separate the model from permissions, tools, and operational traceability.
Model workflowIllustrative example, not a client result.
Least privilegeThe agent receives only the tools and data required for its specific task.
Human-in-the-loopA sensitive step waits for approval from an accountable person.
RollbackA workflow change has a version, an owner, and a path back.
Audit logInput, decision, approval, and action remain traceable.
Founder-led
A real person stands behind the design and operation
Karol Székely leads InovatorAI with a focus on practical deployment, clear ownership, and systems a team can understand. The initial assessment and solution design are not produced by an anonymous sales department.
Model scenarios
This is what a first workflow can look like
These scenarios illustrate architecture and control points. They are not claims about a specific client’s results.
Requests ready for a decision
The agent reads the input, adds approved context, and prepares a draft of the next step.
- Email or form
- Category, owner, and context
- Draft waits for a person
Invoice discrepancies under control
The workflow extracts fields, compares them with the order, and flags a discrepancy for review.
- PDF or email
- Extraction and validation rules
- Exception goes to approval
Internal answers with traceable sources
The agent finds an answer in approved documents and attaches its source for verification.
- Employee question
- Approved knowledge retrieval
- Answer with a source
An actual design is created only after validating your data, systems, work volume, and responsibilities.
Process
From workflow to controlled operation
Speed matters only when the team understands what changed, who decides, and how the system can be stopped.
Map
We select one workflow, owner, inputs, outputs, exceptions, and metric.
Shadow mode
The agent prepares drafts without autonomous action. The team compares quality and risks.
Controlled pilot
Only validated steps are enabled, with permissions and approval based on sensitivity.
Operate
We monitor quality, costs, incidents, and changes. Every workflow has an owner.
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Read →FAQ
Before a private application
Do we need to choose a tool first?
No. We first map the workflow, data, risk, and owner. Tools are selected only after those constraints are understood.
What does shadow mode mean?
The agent processes real input and prepares a draft but performs no production action. The team can compare the output without changing operations.
Does a person remain in the decision loop?
Yes. Human approval is an explicit part of the workflow for sensitive or uncertain steps.
Is 90 days a guarantee of a specific ROI?
No. AI Worklab 90 is the length of the working programme, not a promise of a universal financial result. Metrics are defined for your workflow.
What do you need for the first conversation?
It is enough to describe the recurring work, who performs it, which systems it uses, and what a better outcome would look like.
Private application
Which workflow is slowing you down today?
The form is used for an initial substantive assessment. We do not use the details as a public case study, and you will receive a direct reply from InovatorAI.
Emailideas@inovatorai.com
CompanyFIRST CLASS HOLDING s.r.o. · IČO 46 056 831
ReplyUsually within one business day.