Marek Pałys

From Discovery to Maintenance: How Startup House Runs a Project Step by Step

Every Startup House project follows the same path, and each stage ends with a concrete deliverable, so you can start wherever your product already is. This article walks through it step by step: Product Discovery in 4 to 8 weeks, Scope Building in 2 to 5 weeks, development with an MVP that can reach its first user in even 1 week, Quality Engineering from the first sprint, and long-term maintenance. For each step, you will see what happens inside it and what you receive at the end. It also shows where AI speeds up the work and how that work stays governed.

15 Questions Clients Ask Before Starting a Project with Startup House

Every sales call covers the same ground: what a project costs, how fast it can start, who will do the work, and who owns the result. This article collects the 15 questions clients ask Startup House most often, grouped into money, time, team, ownership and security, and fit. Each answer is the one we give on calls, with real numbers such as small MVP budgets of €25,000 to €50,000 and onboarding within 2 to 4 weeks. Use it as a checklist for any software partner you are evaluating.

AI Agents for Patient Scheduling and Care Coordination

How autonomous agents book, reschedule and backfill appointments around the clock — cutting no-shows, closing referral leaks and freeing clinical staff.

AI Agents for Personalized Shopping and Product Recommendations

How conversational agents replace faceted search — semantic product discovery, real-time personalisation and guided buying that lifts average order value.

AI Agents for Pricing and Promotion Optimization

How autonomous agents price in real time and target promotions precisely — protecting margin instead of discounting everyone who would have paid full price.

AI Agents for Production Planning and Scheduling

How autonomous agents reschedule the shop floor in seconds when a machine fails or a rush order lands — recovering capacity you already own.

AI Agents for Regulatory Compliance and KYC Automation

How autonomous agents run KYC, AML screening and regulatory reporting end to end — cutting onboarding from days to seconds while keeping a defensible audit trail.

AI Agents for Retail Inventory Optimization

How autonomous agents rebalance stock across stores, set dynamic safety levels and reorder on their own — before a stockout ever reaches the shelf.

AI Agents for Wealth Management and Financial Advisory

Beyond robo-advisors: how autonomous agents rebalance portfolios, harvest tax losses and personalise advice at scale, with human sign-off where it matters.