Design, Build & Deploy AI & Automation That Works

Timeline depends on the complexity of the solution and the number of use cases in scope. A focused single-process automation engagement typically takes six to twelve weeks from requirements sign-off through production deployment. More complex, multi-process or multi-platform engagements take longer — and Ashling structures every engagement to give you an accurate estimate before build begins.

Not necessarily. If you have a defined roadmap and want to begin executing against it, Ashling's delivery team can move quickly. If you're still identifying and prioritizing use cases, Ashling's Discovery services are designed to do that work first — with outputs that feed directly into delivery. Most organizations benefit from doing both.

Scope is locked before development begins through formal process owner sign-off at the end of the Analyze phase. Any new requirements identified later — including during UAT — are documented and added to an enhancement list. This keeps the engagement on track and gives you a clear view of what's in scope versus what's planned for the future.

Deployment is not the end of the engagement. Every solution delivered by Ashling goes through a structured Hypercare period in production — where the team monitors stability and performance under real production conditions. Ownership transfers to your internal support team, or to Ashling's managed services, only after agreed Hypercare criteria are met and you sign off.

UAT is where your process owners confirm that the solution meets the agreed scope and works as expected in your environment. By the time a solution reaches UAT, it has already passed internal code review and end-to-end testing — so UAT is about validating value, not catching defects. The phase closes with formal sign-off, and anything identified as new scope during the process is documented separately.

Ashling is platform-agnostic and delivers across a broad range of intelligent automation technologies — including RPA, agentic AI, intelligent document processing, process mining, and low-code development. Our team will advise you on the right platform for each use case rather than defaulting to a single vendor. If you already have a platform preference, our team is happy to evaluate it's capabilities against your use case needs.

Integration dependencies — including application access, data sources, and system owners — are identified and confirmed during the Solution Design phase, before build begins. Engaging application and data owners early is a deliberate part of the methodology; it prevents the access and connectivity issues that commonly delay automation deployments.

Solution Implementation is project-based — best suited for organizations that have defined use cases and want to execute against them with a structured, scoped engagement. Build as a Service is capacity-based — an ongoing delivery model where Ashling's team functions as an extension of your program, maintaining sprint cadences and scaling up or down as your pipeline evolves. We recommend a roadmap evaluation to ensure your use cases achieve your business goals before delivery begins.