Custom intelligence, engineered
for your workflow

RPA handles structured, repetitive actions using pre-set rules. Intelligent automation goes further — using AI and machine learning to interpret unstructured data, make contextual decisions, and continuously learn from outcomes.

Start with high-volume, rule-based, and error-prone workflows that consume manual effort but follow repeatable logic — such as data entry, invoice processing, or reporting. A short discovery workshop helps map automation potential and calculate ROI.

Pilot projects typically take 4–8 weeks from discovery to go live. Larger enterprise deployments or integrations across multiple systems may extend to 3–6 months depending on complexity and compliance requirements.

No. Intelligent automation works alongside your current systems through APIs, connectors, or secure screen interactions. It enhances existing workflows rather than replacing them.

rocketeams designs every solution with governance, role-based access, audit trails, and data encryption. We align with global security standards such as ISO 27001 and GDPR to ensure compliance and protection of sensitive data.

We support three models:
End-to-end delivery: from process discovery to deployment.
Team augmentation: providing RPA and AI engineers to extend your capability.
Advisory and CoE setup: establishing frameworks for governance, tooling, and scale.

After go-live, rocketeams provides monitoring, maintenance, and optimization support. We track bot performance, update workflows as systems change, and help you identify new use cases for automation expansion.