AI AUTOMATION FOR BUSINESS
Less copying, retyping and searching. I connect your business tools with AI to turn emails, documents and tasks into a clear workflow. With rules. With a trace. With you in control.
Work directly with Jakub. From one workflow to your own solution.
input → reason → validate → approve → act01 / AI CONTROL ROOM
Choose a scenario. Explore the input, each step and the result. Test an exception too: a good system knows when to stop.
From: contact@example.com Subject: Enquiry automation Hello, our team copies enquiries into our CRM by hand. We would like to start with one workflow. Can we send you a description?
Ask for a workflow description and a list of tools before scoping. Do not promise a price or deadline without discovery.
Run the workflow to see what reaches your team.
We do not send messages or connect to your systems.{
"demo_only": true,
"workflow": "inbox",
"step": "ready",
"status": "idle",
"source": "DEMO / Enquiry handling rules, § 1",
"checks": null,
"external_writes": false
}An interactive simulation with prepared examples, not a live AI model. Amount validation runs in your browser. Demo data is not sent to a model, email service or CRM.
02 / MORE THAN A CHATBOT
Match the mechanism to the task. Sometimes an agent with tool access. Sometimes a knowledge assistant. Sometimes a straightforward integration, without a model or unnecessary costs.
An assistant retrieves relevant excerpts from approved documents and uses them to propose an answer. Knowledge updates, roles and source references are part of the design, not a last-minute add-on.
I want to organise knowledge ↗Multi-step tasks, selected tools and clear boundaries. An agent can prepare data or propose an action. The workflow determines what may happen and when approval is needed.
Explore the control layer ↗Email, forms, documents and internal systems can become one workflow. Integrations depend on actual API capabilities, with error handling, scheduling and retry controls.
Connect my workflow ↗03 / BUILT WITH GUARDRAILS
Connecting a model is not enough. We design the whole workflow, from data access to recording the result and handling a failure.
Email, documents, forms and available APIs. We agree what the system may read and where it may write.
Approved company knowledge and document excerpts matched to the question. The supporting source should be traceable.
Interpretation, classification or a draft answer. The model does not get unrestricted permission to act.
Validation, appropriate permissions and an agreed approval route. Exceptions reach a person rather than being hidden.
Only the data and operations the workflow needs.
A way to establish what happened and why.
Controlled retries, alerts and duplicate protection.
Agreed budgets, action scope and a way to switch off.
These are design considerations for an implementation, not a claim that this demo operates in your infrastructure. Security scope, providers and data handling are agreed before deployment.
04 / WORKFLOW ECONOMICS
Replace the sample assumptions with your own. Include output review, exception handling and monthly costs to give the discussion a concrete starting point.
YOUR ASSUMPTIONS / EDIT
potentially recovered time
Formula: task count × (minutes before − minutes after) ÷ 60. Time value after costs = hours × hourly value − monthly costs. A model of your assumptions, not a quote, promise or customer result. A full budget requires agreed scope and all costs.
05 / FROM IDEA TO IMPLEMENTATION
Scope is agreed before the start. Implementation, external services and ongoing support are separate costs. Models, OCR and self-hosting are not automatically free.
What is the input? What makes a correct result? Who handles exceptions?
Outcome: process map and pilot scope.One workflow with representative examples, including difficult and invalid cases.
Outcome: a testable flow and quality criteria.Access, integrations, rules, cost controls and tests with the team.
Outcome: deployment within agreed scope.Compare handling time, exceptions and operating costs before scaling up.
Outcome: decisions informed by pilot results.I’m Jakub. I design and develop solutions at SKICODE. We can start with a description of your workflow: no finished specification or mandatory meeting.
A good system needs a good interface
Automation can work in the background, but your team needs a clear interface: what happened, what is pending and what needs approval. The visual presents SKICODE’s style, not a ready-made AI product.
Watch the SKICODE presentation↗06 / YOUR NEXT MOVE
Choose a workflow and tools. Build a starting plan to download or add to an enquiry. Nothing is sent automatically.
Integration availability and data handling requirements are checked before committing to implementation.
The plan stays in this tab until you send an enquiry yourself. Do not paste passwords or confidential data.
No. I first consider frequency, error cost and data availability. A simple integration may be better than AI.
Yes, after defining access rules, knowledge updates and confidential-data protection.
It can run on a schedule, but it should have logs, alerts and clear cases that require a human decision.
Not automatically. Approved replies can enter a controlled knowledge update workflow. This is different from training a model and needs quality and update rules.
Not always. Options depend on confidentiality, hardware and required features. We first define allowed processing and service terms.
No. Scans and document layouts vary. Mathematical rules, field checks and a separate route for uncertain documents are necessary.
Yes. A pilot measures quality, exceptions and operating cost before a wider rollout. Next stages follow its outcome.
LET’S TALK ABOUT YOUR WORKFLOW
Tell me what takes your team’s time and which tools you use. If you built a plan above, it will appear in the form. I’ll follow up with questions and a practical next step.