Intelligent Automation Services

Basic RPA automates rule-based, structured processes by mimicking human user interface actions - clicking, typing, copying data. Intelligent Automation (IA) combines RPA with AI technologies - OCR and document intelligence, NLP, machine learning decision engines, computer vision, and generative AI - enabling automation of complex, judgment-intensive processes that handle unstructured data, variable inputs, and decisions that require reasoning rather than just rule application.

We are certified on UiPath (Studio, Orchestrator, Document Understanding), Automation Anywhere (A360), Blue Prism, Microsoft Power Automate Desktop, SAP Build Process Automation, and WorkFusion. We select the platform based on your existing technology environment, licensing economics, internal skill base, and the complexity of the processes being automated - not based on vendor preference.

We run structured process discovery workshops combining interviews, task mining tools, and process mining analytics to map your current-state workflows objectively. We then score each automation candidate against four criteria: volume, rule-based nature, time per transaction, and error rate - generating a prioritised pipeline where highest-ROI processes are automated first. Every candidate gets a documented business case with projected cost savings and FTE equivalent before development begins.

A straightforward automation bot (e.g. invoice extraction, data migration, report generation) goes from process documentation to production in 6-8 weeks. A complex bot with AI components, multiple system integrations, or significant exception handling takes 10-14 weeks. We design our programme to deliver at least one production bot in the first sprint - giving stakeholders measurable ROI evidence before broader investment decisions.

An Automation CoE is the governance body that owns the automation programme - setting standards, managing bot lifecycles, training developers, tracking ROI, and expanding the pipeline. For organisations automating 5+ processes or planning a multi-year programme, a CoE is essential to prevent bot sprawl, maintain quality, and ensure business alignment. For a single-use-case pilot, a full CoE is not necessary - we design the operating model at the scale your programme requires.

Yes - this is what Intelligent Document Processing (IDP) solves. We use Azure Form Recogniser, UiPath Document Understanding, and custom ML models to extract structured data from invoices, contracts, medical records, claims forms, and other unstructured documents with high accuracy - then hand the extracted, validated data to an RPA bot for downstream processing. Average accuracy on trained IDP models exceeds 97%.

ROI varies significantly by process type, transaction volume, and current manual cost. Typical results from mature Flexsin automation programmes: 200-400% ROI within 12-18 months, 30-94% reduction in process error rates, 60-80% reduction in process cycle time, and 30-50 FTE equivalent redeployment within 24 months. We model projected ROI for every process before we build - so you have a documented baseline to measure against.

System changes - UI updates, ERP upgrades, API modifications - are the most common cause of bot failure in live automation estates. Our managed service includes change impact assessment as part of every release cycle for connected systems, proactive bot maintenance before system go-lives, and a defined SLA for emergency bot fixes when unexpected changes break automation flows. This is why managed operations is a critical component of any long-term automation programme.

Security is designed in from the bot specification stage. Bot credentials are stored in encrypted credential vaults (UiPath Orchestrator Vault, CyberArk). PII and sensitive data are masked in bot logs. Access rights follow least-privilege principles. All bot activity generates immutable audit logs. For regulated environments (HIPAA, GDPR, SOX, PCI-DSS), bot design includes specific compliance controls validated by a security review before production deployment.

Process mining extracts event logs from enterprise systems (ERP, CRM, ITSM) to reconstruct actual process execution patterns - not how the process was designed, but how it actually runs in practice. This reveals where the highest bottlenecks, deviations, and manual interventions occur. For automation programme planning, process mining provides objective, data-driven prioritisation rather than relying on workshop estimates of process frequency and complexity.

Yes - enterprise chatbot value comes from system integration. We integrate chatbots with Salesforce, SAP, Dynamics 365, ServiceNow, Workday, Oracle, and custom applications - enabling bots to query live data, create records, update cases, process requests, and trigger workflows in real time. A chatbot that can only answer FAQs from a knowledge base is an FAQ page. A chatbot connected to your systems is a 24/7 employee.

RPA automates existing processes by replicating human interactions with applications - navigating UI, copying data, triggering actions. Low-code platforms (Power Apps, OutSystems, Mendix) build new applications that replace manual tools - forms, dashboards, approval systems, and process portals - often eliminating the manual steps that RPA would otherwise automate. The two are complementary: low-code builds the application layer; RPA and Power Automate automate the background process and system integration layer.

Yes. Attended bots run on an employee's desktop, assisting with specific tasks triggered by the user - looking up data, populating forms, generating documents - while the human handles judgment and exceptions. Unattended bots run autonomously in the background without human interaction - scheduled or event-triggered - handling high-volume batch processes. Many automation programmes use a combination: unattended for back-office processing and attended bots for front-office agent assist scenarios.

Book a free 60-minute automation discovery session. We'll review your current process landscape, identify the top 3-5 highest-ROI automation candidates, estimate projected savings, and present a detailed engagement proposal - platform recommendation, team structure, timeline, and investment estimate - within 48 hours at no charge.