Common AI project delivery patterns
AI-assisted delivery often accelerates output until production reality intervenes. Each pattern below is a delivery pattern we recover for UK teams. Open a page for detail, or start with how recovery works on the home page.
How recovery startsSMEs
AI helps growing teams ship faster than they can hire, so demos impress the board while the product cannot be operated or extended safely.
Read patternSmall Sites
Weekend marketing sites look finished until SEO, accessibility, forms, and content workflows collide under real visitors.
Read patternEnterprise
Lab prototypes skip tenancy, identity, audit, and change control, then escape into production without a platform path.
Read patternFintech
Demo-ready trading and ledger code often fails under load, reconciliation, and regulatory scrutiny once money moves.
Read patternClean Code
Vibe coding optimises for "it runs" over tests and design, leaving sprawling functions and names that describe the prompt, not the domain.
Read patternSecurity
Auth and crypto output can look professional and still be wrong: secrets in prompts, weak access control, and no real threat model.
Read patternArchitectural Drift
Each AI session fixes the local problem until the system is a collage of styles and data stores with no coherent boundary.
Read patternCost Concerns
Spend hits twice: AI model bills while building, then cloud and rework in production from inefficient code and unbounded retries.
Read patternRecognise a Pattern?
If one of these matches your build, recovery starts with a short outline to the practice. Free and no obligation.