Robotic Process Automation

We treat bots as software, because they are. Every automation follows a standard architecture — configuration separated from logic, resilient selectors that survive cosmetic UI changes, transactional design with retry and recovery per work item, and queues decoupling work intake from bot capacity. Code is version-controlled, peer-reviewed, and promoted through dev/test/production like any other artifact. This is the difference between a bot estate with 99% uptime and one that pages someone nightly.

The attended/unattended decision is made per process, not per fashion. Unattended bots run high-volume back-office work on schedules and queues in virtual environments; attended bots assist humans in real time — pulling customer context during a call, completing multi-system updates on demand — where the process needs judgment in the loop. Where rules run out, we extend bots with AI: document understanding for unstructured inputs, and LLM-assisted classification or agent hand-offs for exceptions, converting half-automated processes into mostly-automated ones.

Around the fleet we build the operating model that determines long-term ROI: orchestrator-based scheduling and monitoring with alerting and SLA dashboards, credential vaulting and least-privilege bot identities (auditable like any user), a pipeline governance board that scores and sequences demand, and a support model with defined severities. We track value per bot — hours, error rates, uptime, maintenance cost — so the portfolio is managed on evidence, and bots that stop paying rent get retired, not haunted.