Task decomposition
Define exactly where AI is useful and where normal code is safer.
AI AUTOMATION · WORKFLOWS · INTEGRATIONS
AI automation development for real workflows.
AI automation for business processes: classification, extraction, drafting, knowledge workflows and API-connected agents built around measurable tasks.
01 / Deliverables
What the work can include.
The exact scope follows the product workflow. These are the components that commonly matter for this type of project.
Structured extraction
Turn documents, messages or forms into validated structured data.
Classification and routing
Categorise requests and trigger the right workflow.
Knowledge workflows
Search and answer against controlled business information.
Drafting and assistance
Generate drafts with context, templates and validation.
API-connected automation
Use model output to drive CRM, bots, databases or internal tools.
02 / Fit
Choose the format by the problem.
I do not force every project into one stack. The format should reduce complexity for the user and for the system.
Good AI task
There is ambiguity or unstructured content that rules alone handle poorly.
Use normal automation
The process is deterministic and should behave the same every time.
Hybrid system
AI interprets the input, code validates it, and integrations execute the action.
03 / Process
From unclear request to a working release.
1. Understand
Current process, users, inputs, outputs and constraints.
2. Reduce
Define the smallest architecture that solves the actual problem.
3. Build
Implement the end-to-end workflow, integrations and edge states.
4. Launch
Deploy, test real usage and iterate from observed issues.
FAQ
Questions before the first build.
Do I need an AI agent for every automation?
No. Many automations are better with deterministic logic. AI should be introduced only where it improves the workflow.
Can AI work with CRM or Telegram?
Yes. Model steps can be placed inside a bot or an integration workflow and connected to CRM through APIs.
How do you reduce unreliable output?
By narrowing the task, using structured formats, validating results and adding deterministic fallback paths.
Can an MVP be built first?
Yes. A focused AI step is usually easier to measure than a large autonomous system.
YOUR PROJECT IS NEXT
Let’s build
something great.
A few sentences about your project are enough to start. A link, design or existing code helps estimate the scope.
@Alexuys ↗alexgtup@gmail.com