AI-driven, low-code automation

Intelligent Automation

Intelligent Automation streamlines end-to-end business processes by combining workflow automation, low-code apps, and AI. It reduces manual effort, standardizes execution, and increases collaboration across teams - so work moves faster, with fewer errors and better compliance. The outcome: lower operational cost, higher productivity, and a scalable foundation for continuous improvement.

Manual workflows are holding you back

In the pursuit of operational excellence, most organizations have successfully digitized their data, yet their processes remain stubbornly manual. We have entered an era where "digital" does not inherently mean "efficient." Instead, many enterprises find themselves managing a complex web of disconnected tools and invisible handovers that hinder growth and introduce risk.

Fragmented, manual workflows

Across email, Excel, SharePoint, legacy tools and multiple teams - causing delays and rework.

Low consistency & limited traceability

Steps, decisions, handovers and approvals aren’t standardized or auditable.

Scaling under governance constraints

Automation must be secure, compliant, maintainable, and ready for enterprise adoption.

Consistent quality and scalability

The solution speeds up processes by reducing handovers and automating key steps from intake to closure. It ensures consistent quality through standardized workflows and built-in controls, while offering full visibility into status, bottlenecks, and performance. At the same time, it provides a scalable foundation to easily expand automation and AI use cases over time.

Discovery & process mapping

Identify high-ROI workflows, pain points, and automation candidates (quick wins + roadmap).

Design the target operating model

Define “to-be” flow, roles, controls, exception handling, and success metrics.

Build and integrate

Deliver low-code apps and orchestrated workflows (e.g., Power Platform / Make / other stack), connect data sources, and implement AI where it adds value (classification, extraction, summarization, decision support).

Enable adoption

Co-creation with end users, training, clear governance, monitoring, and iterative optimization (MVP → scale).

Results

Fast User Adoption

Rapid Scalability

Seamless Integration

Powered by Datashift’s expertise

Data & AI Strategy

We’ll help you target the right topics. Data and AI are everywhere, but impact is not. Our data and AI strategy domain focuses entirely on creating value from data & AI, powered by the hands-on technical expertise of our implementation teams.

Data governance

For your data to be an asset, it needs to be governed. Data governance provides the framework, policies and processes of your data. It sets the standard to achieve your business goals.

Data engineering

Better foundations means larger impact. Advanced data and AI only work when the underlying engineering is solid. We focus on what truly matters: reliable data flows, scalable platforms, and production-ready solutions. Not over-engineering, not quick hacks — just the right balance to solve real business problems. With disciplined, pragmatic engineering, we help you build data products that are secure, stable, and built to last.

Business analytics

Whether completely (and intelligently) automated or done by humans with computer level support, decision-making drives business value. Therefore AI and IA are often the last steps in the data value chain where high quality and well governed data is leveraged to make intelligent decisions and automate your processes.

Data Science & AI

We help organizations turn raw data into clear, actionable insights by building reliable platforms, strong processes, and purposeful analytics.

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