We build on the platform you choose.
Independent engineers working across the major RPA suites and the modern AI stack. We pick the right tool for each process and say so plainly when it is the wrong one.
The process decides the tool.
Most organisations already own at least one automation licence. Many own two. The useful question is rarely which platform is best in the abstract. It is which platform fits this process, this application landscape and this operating model.
We hold no reseller interest in any vendor. That lets us recommend an API call over a bot, a cloud flow over an unattended robot, or a document model over a template. We design for your existing licence estate first and flag consolidation only when the numbers support it.
We size attended, unattended and AI consumption against real volumes before anything is built.
Surface automation is reserved for systems that offer no stable interface.
Queue-driven, idempotent designs that survive a future platform change.
Five stacks, one engineering standard.
UiPath
Studio, Orchestrator, Document Understanding and Action Center for queue-driven unattended estates and human-in-the-loop document work.
Explore 01Automation Anywhere
Automation 360 with Control Room, Document Automation and AARI for cloud-native bot programmes with central governance.
Explore 02Microsoft Power Automate
Cloud flows, desktop flows, AI Builder and Dataverse for Microsoft 365 centred organisations with strong citizen-developer demand.
Explore 03SS&C Blue Prism
Digital workers built in Process Studio and Object Studio for regulated estates that value strict object reuse and control.
Explore 04AI and LLM Stack
Azure OpenAI, Anthropic Claude, document AI services, RAG and evaluation harnesses for judgement-heavy and unstructured work.
Explore 05Not sure which fits
A short discovery sprint maps your processes, systems and licences, then recommends a platform per process with the reasoning written down.
Explore 06Where each platform usually fits.
A neutral starting point. Every estate has exceptions, and the right answer depends on your applications, licences and team.
| Platform | Typically a strong fit when | Things to plan for |
|---|---|---|
| UiPath | You run a large unattended estate with work queues, complex desktop and web applications, and document-heavy processes that need validation stations. | Licence mix across robots, users and AI units needs active management. Governance discipline matters as the estate grows. |
| Automation Anywhere | You want a cloud-native control plane, browser-based bot authoring and a central Control Room for distributed teams. | Agent and device setup on locked-down desktops needs early IT involvement. Package versions should be pinned per bot. |
| Microsoft Power Automate | Your workflows live in Microsoft 365, SharePoint, Teams and Dataverse, and connectors cover most of the systems involved. | Environment strategy, DLP policies and connector tiers must be set before citizen developers scale. Unattended desktop runs carry separate licensing. |
| SS&C Blue Prism | You operate in a regulated environment that values controlled object reuse, a strict release process and server-side execution. | Development is more structured and slower to start. Skilled developers are scarcer, so knowledge transfer needs planning. |
| AI and LLM Stack | Inputs are unstructured, variable or judgement-based: emails, contracts, free-text tickets, multi-format documents. | Outputs are probabilistic. You need evaluation sets, confidence thresholds, human review and clear data residency choices. |
Find your first ten automations in two weeks.
A structured discovery sprint that maps your processes, scores them for automation potential and hands you a prioritised roadmap with effort and payback for each.