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Solving business challenges

From online stores to AI platforms: the challenge and the solution we built.

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Interface illustration

Catalog, guided selection and cart form a clear shopping journey.

About this project

The challenge

Help shoppers understand the range and choose a suitable product.

What we built

Built a storefront, product pages, cart and a guided selection flow.

  • Categories, collections and detailed product pages.
  • Product suggestions based on customer answers.
  • Cart and mobile layouts.

How automation works

Customer answers guide selection from the catalog, reducing the need to browse every option.

In development
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Specialists can see client history and relevant materials in one workspace.

About this project

The challenge

Bring client conversations, documents, tasks and specialist work together.

What we built

Built client and specialist portals, questionnaires, document handling and AI-assisted reply drafting.

  • Messaging, questionnaires, files and service history.
  • Role-specific workspaces and access permissions.
  • Document recognition and draft replies for specialist review.

How automation works

The system extracts document information and helps prepare summaries and drafts for specialist review.

In development
Interface illustration

Customers can explore a product, choose an option and continue to the cart.

About this project

The challenge

Make the range and purchase options clear on desktop and mobile.

What we built

Reworked the storefront, product pages, media and purchase options for an existing store.

  • Clear product attributes and imagery.
  • Purchase options and cart behaviour.
  • Mobile layouts and order restoration.

How automation works

Product information, selected options and cart work together. Shoppers can continue checkout with their selection preserved.

In development
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Order events and customer contacts become part of a connected follow-up process.

About this project

The challenge

Preserve order information and connect store events to the team’s next steps.

What we built

Developed unfinished-order restoration, contact handling and notification modules for the same Bitrix store.

  • Saved cart and checkout restoration.
  • Guest contact details and messaging consent.
  • Event retries and order notifications.

How automation works

Repeated events are processed consistently and failures remain traceable, helping the team follow up on orders and review notifications.

In development
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Asset history, documents and the employee’s next step are brought together in one system.

About this project

The challenge

Connect asset records, documents, inspections and collateral-team tasks.

What we built

Developed a CRM for collateral teams in banks and financial organisations, from asset records to a working dossier.

  • One register with the materials linked to each asset.
  • Workflow stages, tasks and responsibilities.
  • Documents, dossiers and working reports prepared from system data.

How automation works

Stage changes create related tasks. Asset data feeds documents and reports, extract results update the register, and the dossier assembles asset materials into a printable package.

Asset register

Property, vehicles and equipment with records, statuses and related documents.

Collateral dossier

Asset records, inspections, appraisal materials, conclusions and insurance documents in one package.

Inspections

Mobile inspection access and asset photos and materials.

Workflows

Review stages, deadlines, assignees and action history.

Documents and extracts

Templates filled from asset data and extract results transferred to the register.

Portfolio oversight

Insurance, filters, status summaries and asset reports.

Built
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Vehicle details, estimates and enquiries form one connected buyer journey.

About this project

The challenge

Bring vehicle offers together, help buyers choose and route enquiries for the selected car.

What we built

Built a vehicle storefront with filters, detailed listings, preliminary cost estimates and parts selection.

  • Catalog with specification filters and photos.
  • Preliminary purchase-budget estimate.
  • Parts selection by vehicle and VIN.

How automation works

Offers from different sources are normalised and refreshed on a schedule. Enquiries are passed to Telegram, with scheduled offer publications.

Vehicle selection

Catalog, specifications, photos and filters help narrow the selection.

Estimate and enquiry

Buyers estimate a budget and enquire about the selected offer.

Parts

Search by model, year, engine and VIN with enquiry handoff to the team.

Data handling

Offer normalisation, scheduled catalog refreshes and enquiry notifications.

Built
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News gathering, AI assistance and edition preparation come together in a CRM for journalists.

About this project

The challenge

Help journalists follow developing stories, prepare material and assemble editions in one workspace.

What we built

We built an editorial CRM covering news collection, topic summaries, AI drafts, review and edition preparation. Editors can return to the original source and remain in control of the final copy.

  • A shared feed with search, topics, regions and source links.
  • AI summaries and alternative drafts for journalists to refine.
  • Drafts, review, edition assembly and publication scheduling.
  • Team chat, story annotations, export and newsroom activity reporting.

How automation works

The system collects news from connected sources, organises material by topic and prepares summaries. Journalists choose stories, refine the copy and submit editions for review. Activity history lets colleagues pick up the work without collecting the same information again.

Feed and sources

One place for news from feeds, websites and channels. Search and filters help the team focus on relevant stories.

AI writing assistant

Summaries, format-specific rewriting and access to source material. Journalists check the facts and edit the result.

Editions and review

Stories move from draft to a prepared edition. The team can see its contents, order, timing and schedule.

Team collaboration

Team chat, status updates, activity history and export support handoffs between journalists, editors and producers.

In development
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Food tracking, AI-assisted entry and activity data in one Android app.

About this project

The challenge

Bring food, water, activity and connected-device data together so people can see their daily habits in one app.

What we built

We built an Android app with a daily diary, AI-assisted food entry, history and Health Connect integration. Meals can be entered manually, by voice or from a photo; recognised ingredients and portions can be reviewed before saving.

  • Food, water, activity and weight tracking with a record history.
  • Photo and voice entry, calorie and macronutrient calculation.
  • Goals, trends and food and water reminders.
  • Steps, workouts, sleep, resting heart rate and weight through Health Connect.

How automation works

A photo or voice entry becomes a meal record that the user can refine. Through Health Connect, the app reads authorised data from compatible fitness apps, including watch and smart-scale measurements shared by those apps. New records build a history of nutrition, activity and recovery.

Less typing, more consistent tracking

Camera, voice, search and manual entry make daily logging easier. Ingredients and portions remain editable.

Watches, scales and apps

Health Connect links the diary to data from compatible apps and devices. Users choose which measurements the app may read.

Trends and habits

Food, water, weight, sleep and workout history show changes over a selected period. Reminders support regular logging.

Everyday use

Local diary storage, Android notifications and data-access controls fit the app into daily routines.

In development
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Users can keep a journal while specialists work with their history and messages in a dedicated workspace.

About this project

The challenge

Connect photos, journal entries and specialist communication in one service.

What we built

A personal journal and team workspace with image recognition and client history.

  • Image and barcode recognition with database search.
  • Journal entries, tasks, messages and client history.
  • Access control and an activity history.
Built
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A connected bot system with lessons, progress tracking and learning-access logic.

About this project

The challenge

Bring course selection, lesson access and feedback into one convenient channel.

What we built

Connected bots for course sales, learning and administration.

  • Course plans and access triggered by a payment event.
  • Lessons, progress tracking and assignment feedback.
  • Course and learner management for administrators.
Built
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One board shows tasks, their current status and the history behind them.

About this project

The challenge

Make responsibilities, priorities and progress easy to follow.

What we built

A task board with filters, status updates, comments and change history.

  • Tasks organised by role, region and priority.
  • Status updates, comments and change history.
  • Filters and an overview of operational indicators.
Built
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Inspection findings and photos are linked to the asset and recorded in its history.

About this project

The challenge

Capture photos and inspection findings on site without scattered files.

What we built

A mobile checklist that links inspection evidence to the asset record.

  • Checklists, photographs and location capture.
  • Reports and inspection history within the asset record.
Built
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A prototype for comparing calculations and preparing an analyst’s working material.

About this project

The challenge

Compare valuation models and see which assumptions shape the result.

What we built

A prototype that combines valuation calculations with AI commentary for analysts.

  • Income capitalisation and discounted cash flow calculations.
  • Calculation assumptions and AI commentary in one interface.
In development
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An experimental environment for AI agents working with context and tools.

About this project

The challenge

Give an AI assistant task context and tools for working with files and data.

What we built

A prototype environment where AI models use memory, connected tools and modular skills.

  • Connections to local and cloud AI models.
  • Tools for files, search and external services.
  • Memory and skills tailored to specific tasks.
In development
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One workflow connects news collection, story selection and publication preparation.

About this project

The challenge

Collect relevant news, remove duplicates and prepare stories for publication.

What we built

A news collection and processing system with filters, categories and a publication queue.

  • Collection from RSS, websites and messaging channels.
  • Duplicate removal and topic-based filtering.
  • Categories and a publication queue.
Built

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