03 / GIFSAI and automation
Less repetition.
More time for your business.
We help eliminate manual data transfer, conversation review and repetitive document preparation. We will start with one specific task.
Oleg—update the catalog
deadlines have not been decided yet
Anna — prepare photos
Oleg — update the catalogue
bear fruit.
Choose a familiar task.
See which part of the work can be prepared automatically.
Customer conversation
The messages need rereading and the details must be gathered manually.
The same task.
Fewer manual steps.
Each has its own job.
Automation
Transfers data and performs actions according to clear rules.
Artificial intelligence
Helps interpret free-form text and prepare a draft. A person reviews the result.
Let’s start by talking about your business.
You can come with a question or an example. We will help define the scope, stages, and what is needed to start.
- 01
We will look at how it works now
Show an anonymized example and the steps you perform manually.
- 02
We will build a small pilot
We will test one process using your examples before a wider implementation.
- 03
We will assess the benefits
We will compare time, errors and review effort, then decide what to launch.
Price and timeline follow clarification of the task.
We agree on the scope of work before starting.
Before the project begins
What data should we provide for the first example?
One anonymised enquiry or document your team works with is enough. Before connecting live systems, we agree which data may be transferred, where it will be processed and who will see the result.
Which business tasks can be optimised with AI?
You can start with handing enquiries to a manager, drafting documents or preparing answers from company materials. For each process, we define the inputs, outcome and reviewing employee, then compare time, quality and costs with the current workflow. Explore a suitable scenario: leads in the CRM without losses or duplicates, an AI-assisted commercial proposal or a chatbot for enquiries. If there are several processes, start with the process-selection and pilot-testing card.
Where should AI implementation begin?
Choose a recurring process: reviewing inquiries, preparing a document, or compiling a summary. Show an anonymized example, the current steps, and the desired result. We will determine where artificial intelligence is needed and where a simple rule is enough.
How do we assess the business value?
Before the pilot, we agree on criteria: time to an accepted result, number of errors, employee review effort, and service costs. We compare comparable tasks. If the benefit is not yet clear, we refine the scenario or stop before going live.
What is included in the launch and who is responsible for the result?
We discuss data, the prototype, testing, integrations and support arrangements. An employee confirms important actions, and a manual fallback remains if something goes wrong. Cost and timing are determined after clarifying the scope and access to your services.
What is the difference between automation and an AI agent?
Ordinary automation is often enough for an action governed by a known condition. AI helps interpret free-form text and prepare a response; an agent is also given available tools and action boundaries. If you need customer conversations, instruction searches or several connected roles, see AI agent options for employees and customers. We choose the approach according to the process, rather than the technology’s name.