Automation Experts
Engineers who design and build automation systems, not just configure tools.
Automation engineering, done properly
There is a difference between someone who can connect two apps in Zapier and someone who can build a production-grade automation that handles failures, retries, logs what happened, and can be maintained by the next engineer who touches it. Our automation specialists work at the technical end.
They design integration architectures, write custom code where platforms fall short, handle edge cases and error states, and document what they build. They are engineers first and automation specialists second, which means the systems they produce are reliable rather than just functional on the first run.
Workflow Automation
End-to-end process design using n8n, Make (formerly Integromat), Power Automate, and custom event-driven services. Proper error handling, retry logic, alerting, and logging from day one. Every integration is documented so the next person who needs to change something can do it without reverse engineering the whole flow.
AI Integration
Connecting AI platforms into existing systems: OpenAI, Azure AI, and document intelligence APIs used to classify inputs, extract structured data from unstructured documents, or power conversational interfaces. They write the integration code and the tests. Not just a proof of concept that works in a demo.
Data Processing
Python-based ETL pipelines using Pandas, Polars, and purpose-built scripts. Scheduled jobs, validation layers, transformation logic, and delivery to downstream systems or reports. Covers both batch processing and near-real-time patterns depending on what the business process requires.
Testing Automation
QA automation using Playwright and Cypress for UI and end-to-end tests, pytest for backend. CI pipeline integration, test coverage reporting, and maintenance of the test suite as the codebase develops. They write tests that catch real bugs, not tests that pass on the first run and are never updated.
Tools and platforms
When to hire vs when to use our managed service
If you have a specific automation to build and want it done well, with proper documentation and handover, placing an automation engineer is usually faster and more cost-effective than a full project engagement.
If you are not yet sure what to automate, or want external analysis before committing to a build, the Automation Readiness Audit is the better starting point. Our AI & Automation managed service is suited to larger or more complex projects where you want a full delivery team rather than a single placed engineer.
Common questions
Can they work with automations already built by someone else?
Yes. We start with a review of what is in place. The engineer works from there, whether that means extending, fixing, or replacing parts of it. We are direct if something is not worth fixing and a rebuild is the better option.
What does handover include?
Architecture documentation, a description of each integration and its known failure modes, and runbooks for common issues. The goal is that your team can operate and maintain the automation without needing to come back to us for every small change.
How quickly can they start?
Usually within 1 to 2 weeks of a confirmed brief, depending on the specific requirements and availability.
Part of our Talent Solutions offering. Prefer a fully delivered solution? Explore our managed AI & Automation service or start with an Automation Readiness Audit.