# SparkCode

> Technology shaped around you. Business automation, AI integrations and digital products built around your business.

SparkCode is a network of software engineers working on digital products, business automation, AI integration and existing-system improvement. Skills are assembled around each project with a clear delivery lead.

Work labelled as an independent concept is demonstration work. Published pages describe the available services and delivery approach. Contact SparkCode to discuss project scope and availability.

## Company And Delivery

- [About SparkCode](https://sparkcode.tech/company): Company background and delivery responsibilities.
- [How We Work](https://sparkcode.tech/how-we-work): Discovery, planning, building and handover.
- [Work](https://sparkcode.tech/work): Published product concepts with their evidence labels.
- [Contact SparkCode](https://sparkcode.tech/contact): Discuss a project with the team.

## Services

- [Less chasing. A clearer way to work.](https://sparkcode.tech/services/business-automation): Connect the requests, approvals and information that move between your team’s tools. Start with one workflow that is taking more effort than it should.
- [Build the version people can actually use.](https://sparkcode.tech/services/digital-products): Websites, customer portals and mobile applications shaped around a clear user journey. Make the first release useful, then learn from what people do with it.
- [Give AI a useful job. Keep people in control.](https://sparkcode.tech/services/ai-integration): Bring AI into a specific business task, with representative examples, clear review points and a way to handle the wrong answer.
- [Make the next change without starting over.](https://sparkcode.tech/services/ai-and-modernisation): Understand the slow, fragile or disconnected parts of your existing software. Compare targeted improvements with a rebuild before making a costly commitment.

## Recent Insights

- [AI Agent Identity And Permissions: Practical Access Controls](https://sparkcode.tech/blog/ai-agent-identity-permissions): Learn how to scope an AI agent’s identity, delegated access, approvals and audit records for authorized actions.
- [Shadow Testing For AI Systems: Compare Models Before Release](https://sparkcode.tech/blog/shadow-testing-ai-systems): Explore how shadow testing compares a candidate AI system with a live system while isolating actions and protecting data.
- [The Transactional Outbox Pattern: Reliable Event Publication](https://sparkcode.tech/blog/transactional-outbox-pattern): Learn how a transactional outbox records business changes and events together, and how relays and consumers handle retries.
- [Circuit Breakers In Software: Protecting Calls To Dependencies](https://sparkcode.tech/blog/circuit-breakers-software): Understand closed, open and half-open circuit breakers, fallbacks, recovery and the limits of retrying failed calls.
- [Data Drift In AI: Detection, Investigation And Response](https://sparkcode.tech/blog/data-drift-in-ai): Learn how to monitor data drift, compare useful baselines and decide when to investigate model performance.
- [AI Agent Tool Design: Clear Inputs, Permissions And Results](https://sparkcode.tech/blog/ai-agent-tool-design): Design AI agent tools with clear contracts, server-side permissions, useful errors and tests for real tasks.
- [Digital Twins For Business Operations: Models, Data And Decisions](https://sparkcode.tech/blog/digital-twins-business-operations): Explore how a digital twin connects operational data with a model, supports scenario analysis and depends on validation and security.
- [Hybrid Search For AI: Combining Keywords And Semantic Retrieval](https://sparkcode.tech/blog/hybrid-search-for-ai): Learn how hybrid search combines keyword and semantic retrieval, with practical guidance on ranking, permissions and evaluation.
- [AI-Assisted Formal Verification: Proofs, Specifications And Limits](https://sparkcode.tech/blog/ai-assisted-formal-verification): Understand how AI can assist formal verification, what a checked proof establishes and why specifications and assumptions matter.
- [Event-Driven AI Agents: From Business Signals To Useful Actions](https://sparkcode.tech/blog/event-driven-ai-agents): Learn how event-driven AI agents respond to business events, handle duplicates and failures, and keep consequential actions under control.
- [Durable Execution For AI Agents: Recovery, Retries And State](https://sparkcode.tech/blog/durable-execution-ai-agents): Explore how durable execution helps long-running AI agents recover, manage retries and handle uncertain external actions.
- [Prompt Injection In AI Agents: Risks And Practical Defenses](https://sparkcode.tech/blog/prompt-injection-ai-agents): Learn how prompt injection reaches AI agents through external content and how to reduce risk with permissions, validation and review.
- [All Insights](https://sparkcode.tech/blog): Browse and search published articles.

## Optional

- [Sitemap](https://sparkcode.tech/sitemap.xml): Complete index of published public pages.
- [RSS](https://sparkcode.tech/rss.xml): Recent published articles in RSS format.
- [Privacy](https://sparkcode.tech/privacy): Website privacy practices.
- [Terms](https://sparkcode.tech/terms): Website terms.