Everything you need to know before starting your automation project with LnP Infotech.
What types of automation services does LnP Infotech offer?
We offer end-to-end automation services — test automation and QA automation, Robotic Process Automation (RPA), business process automation, CI/CD and DevOps pipeline automation, AI-powered intelligent automation, and workflow and document automation. We cover every layer of automation a business might need.
Which processes are best suited for automation?
The best candidates are high-volume, repetitive, rule-based tasks — data entry, invoice processing, report generation, software testing, approval workflows, form filling, and system-to-system data transfers. We start every project with a process assessment to identify which tasks will deliver the highest ROI when automated.
How long does an automation project take to deliver?
A focused automation — like a single RPA bot or a test automation framework — typically takes 4–8 weeks. Larger business process automation projects covering multiple workflows can take 3–6 months. We provide a detailed timeline after the initial process assessment and scoping phase.
What RPA tools do you work with?
Our RPA engineers are experienced with UiPath, Automation Anywhere, Microsoft Power Automate, and Blue Prism. We recommend the right tool based on your existing tech stack, budget, scalability needs, and the complexity of the processes being automated — not a one-size-fits-all approach.
Can you integrate automation with our existing systems?
Yes. Our automation solutions connect with your existing ERP, CRM, databases, cloud platforms, and third-party APIs — including SAP, Salesforce, Microsoft 365, and custom-built internal systems. We design integration-first automation so there are no silos or manual handoffs between systems.
What is the ROI of automation and how quickly will we see it?
Most automation projects deliver measurable ROI within 3–6 months of go-live — through reduced labour costs, faster processing times, and fewer errors. Before we start, we conduct a process assessment that estimates the expected cost savings and efficiency gains so you know the projected ROI before any code is written.
What is AI-powered automation and how is it different from RPA?
Traditional RPA follows fixed rules and handles structured data. AI-powered automation uses machine learning and large language models to handle unstructured data — scanned documents, emails, images — make contextual decisions, and adapt to changing inputs. It is ideal for complex processes where data is inconsistent or decisions require judgement.
Do you provide support and maintenance after the automation goes live?
Yes. Automation requires ongoing maintenance as your systems, processes, and business rules evolve. We offer flexible post-launch support — covering script updates, exception handling, performance monitoring, and expanding automation coverage to new processes as your operations grow.