AI Business Process Automation — Built
for Production
Your team spends time on work that doesn’t require human judgment. We build AI-powered process automation systems that handle it — connected to your real data, deployed to your infrastructure.
Reduce manual effort. Eliminate errors. Lower operational costs
Key numbers
automation expertise
eliminated annually
Meet the n8n ambassador behind our automation practice
Roman Rodomansky, COO and Co-Founder at Ralabs, is an official n8n Ambassador – a recognition given to community leaders who help people build real products using automation and AI workflows.
Roman organized Valencia’s first n8n community meetup, with nearly 100 attendees, 160+ sign-ups, and conversations about automation, AI agents, and workflow design. That community knowledge goes directly into how we build for clients.
ROMAN RODOMANSKY
COO & Co-Founder
at Ralabs
Our services
Connect your systems. Automate the work. Optimize the process
Low-code and no-code system integration
Connect your business tools — ERP, CRM, HR systems, project management platforms — using modern middleware. No custom code from scratch. Prepackaged components, logically connected into pipelines that move data between your systems automatically.
Intelligent document processing
Extract, classify, and route structured and unstructured documents — claims, contracts, onboarding forms, medical records, invoices, KYC packets. AI reads what your team used to read and routes it where it needs to go.
Agentic AI workflows
Multi-step AI agents that plan, execute, and self-correct across your existing systems via APIs. Not a chatbot — a system that completes tasks, handles exceptions, and escalates only when it should.
ETL and data synchronization
Extract data from your source systems, transform it according to your business rules, and load it into the target — automatically, on a schedule or on demand. Consistent data across platforms without manual reconciliation.
Business process automation case studies
Data integration across Salesforce, Sage HR, Power BI, and Runn
Industry: Business/Productivity Tech ● Healthcare
APC, a pharma and biotech company, managed resource planning, HR, and CRM data across Salesforce, Sage HR, and Runn, while relying on Power BI for reporting. Data had to be reconciled manually, resulting in reporting delays and inconsistencies.
We built an ETL solution that extracts data from Salesforce and Sage APIs, transforms it according to business rules, and synchronizes it with Runn automatically. The solution also consolidates data across systems into structured datasets for Power BI reporting and analytics. Idempotent execution ensures migrations can be safely restarted without duplicates or data inconsistencies.
Result: Thousands of records synchronized across platforms. Data migration checks complete in just 16 seconds when no source changes are detected. More than 100 business scenarios were covered, and Power BI reporting now runs on clean, consolidated data without manual preparation.
Resource management integration for an enterprise company in healthcare
Customer location: Belgium & Australia
![]()
Industry: Pharmaceutical
Tech stack: n8n
A medical company ran a project forecasting in MS Project and people management in Runn. Same underlying data, two disconnected systems. When assignments changed, managers had to chase updates manually — emailing colleagues across time zones to reconcile what should have been the same information in both places.
We built an integration pipeline in n8n that connects four systems. Resource allocation now propagates to Runn automatically — either on a schedule or when a manager triggers a data consolidation.
Result: Manual reconciliation eliminated. Managers have one accurate view of people and projects without contacting anyone.
Problem areas
The work that’s costing you time and money
Systems that don't connect
Data lives in multiple tools — ERP, CRM, HR, and finance.
Nobody built the bridge. People fill the gap manually. We automate the handoffs. → Data flows automatically
Underestimated complexity
What looks like a simple connection often hides legacy systems, non-standard APIs, and security configurations that add weeks
to a project. We surface this during discovery — before it becomes
a delivery problem. → No hidden complexity at kickoff
You have automation, but it doesn't scale
Compliance in regulated industries
Healthcare and fintech teams need automation they can prove works. We build governance into the architecture from day one — audit trails, data masking, human review checkpoints. HIPAA, GDPR, and SOC-2 by default. → Audit-ready from day one
Ready to automate the work your team shouldn't be doing?
Tell us about your workflow. We’ll tell you what’s automatable, what isn’t, and what a realistic build looks like.
No commitment. Senior specialists on the call. Response within 1 business day.
Aleksandar Bogdanovski
Senior Automation Engineer at Ralabs
Our process
We map the actual workflow before configuring any platform — volume, edge cases, system handoffs, and exception handling. We find scope creep before it finds you.
We select the right platform for your security requirements and data volume. Enterprise clients: MuleSoft, Tibco, Boomi, Azure Logic Apps, Workato, Celigo. Smaller implementations: Make, n8n, Zapier.
A focused build targeting one workflow in your real environment. Functional pilot target: 10–12 weeks.
Documentation, error handling, and monitoring configured after go-live. Post-deployment support available on a contract basis.
Industry workflows we automate
Fintech
KYC and AML verification across systems, loan approval flows with multi-step validations, transaction monitoring with
real-time alerts, and compliance reporting with audit trails
Healthcare
Patient data coordination between clinical and administrative systems, prior authorization processing, document routing between departments, and staff scheduling workflows with fewer manual handoffs
Real Estate
Lease approval and contract routing, tenant onboarding across CRM and property management systems, maintenance request workflows, and centralized team-tenant communication
Media
Content distribution across publishing channels, automated metadata tagging, rights and licensing coordination, and asset management across production and editorial systems
Cybersecurity
Infrastructure monitoring with automated incident escalation, threat signal aggregation across security tools, audit-ready activity logging, and cross-team response coordination
Logistic
Carrier and warehouse synchronization, shipment exception handling, vendor communication workflows, cross-system inventory visibility, and delay escalation
Tech stack
Why Ralabs?
Human expertise, not AI-assisted guessing
AI accelerates our work. It does not replace the expertise behind it. When you hit a real blocker — a legacy system with
no API, a corporate firewall, an architectural call under pressure — experience is the only thing that helps. Our specialists use AI to move faster. Not to learn the job.
Quality by design
We compete on expertise. For enterprise clients in regulated industries, the cost of a failed integration — missed deadlines, compliance gaps, data errors — far exceeds the cost of doing
it right.
We refactor what works
We don’t rewrite everything. Most teams have existing automation in some form — legacy scripts, old integrations, manual workflows that have been running for years. We assess what’s worth keeping, what needs replacing, and what can
be extended.
No lock-in
We build to open standards and document everything. When
the project ends, you own it — the pipelines, the configuration,
the documentation.
Our clients say
Jeff Wallace
Co-Founder at Silicon Valley in Your Pocket
“We are thrilled to have such a knowledgeable, skilled and collaborative team in Ralabs as we build our business into the future. They helped us to create an excellent solution, one that met our early pilot needs but that was also scalable to meet our long-term requirements.”
Rhodes Kriske
Marketing Director at WayThru Innovations
“Ralabs consistently delivers high-quality outputs, and they’re able to mitigate any risks to the web app. The team is responsive from a project management standpoint, and internal stakeholders are particularly impressed with their innovative approach to design.”
Ian Atkins
Co-Founder & COO at Choosing Therapy
“Ralabs truly cared about the products being built and the mission of ChoosingTherapy.com. Working with Ralabs feels like your working with an extension of your own team. Every team member was invested in our mission.”
Sebastiaan Winter ![]()
Co-Founder at BestBonobos
“Ralabs has delivered the MVP on time, and the early user feedback has been impressive. The team has kept in weekly contact to prioritize tasks and communicate via virtual meetings, emails, and messaging apps. Their cultural match and ability to give different options have been outstanding.”
Jonas Bertelsen ![]()
Chief Product Officer (CPO) at Cludo
“Working with the team was an experience in precision, expertise, and dedication. Their technical acumen ensured our GPT-Powered Q&A Chat was not only functional but ahead of the curve. We are proud to have collaborated with such a proficient team.”
Sam O’Brien
Co-Founder & Product Lead at Fillit
“Ralabs’ efforts resulted in the integration of DocuSign into the client’s contracting process, onboarding a new client in multiple markets, and clearing a backlog of tickets. The team’s project management, proactive approach, timeliness, and communication were hallmarks of their work.”
Gil Plotnizky
Co-Founder and Director at Equilibrio
“We had an amazing experience working with Ralabs.org on our website from day one, their team was professional, efficient, and truly understood our needs—covering everything from design to operations, reservations, and financial integrations with third-party software.”
Artem Arutyunyan
Head of Digital at Media Development Foundation
“With our High-load News Media project, we have reached our goals to increase analytics by rebuilding the infrastructure, boosting the performance of the website, and improving the news cloud panel for our journalists. Hromadske.ua is extremely thankful and satisfied with the costs spent since the results we gained are perfect.”
FAQ
What is AI business process automation?
AI business process automation uses machine learning, natural language processing, and AI agents to handle repetitive or complex business workflows without fixed rules. Unlike traditional automation, it adapts to variability, processes unstructured data, and manages exceptions without manual intervention. Most implementations are built on low-code and no-code integration platforms — middleware that connects systems without writing custom code from scratch. It is used in document processing, approval workflows, fraud detection, and claims intake across fintech, healthcare, and logistics.
What are the most common use cases?
The highest-impact use cases share two characteristics: high transaction volume and high manual effort. Document processing — claims, contracts, invoices, KYC packets — is the most common starting point. After that: fraud detection and transaction monitoring in financial services, patient triage and medical record classification in healthcare, and multi-step approval routing in operations-heavy workflows.
How long does a project take?
A focused pilot targeting one workflow typically reaches production in 10–12 weeks. Smaller implementations — connecting two or three systems for a contained use case — can run two to four weeks. Enterprise projects involving multiple systems, high data volumes, and compliance requirements run six to nine months. We scope before we estimate — we won’t give you a timeline before we understand the problem.
How do you ensure HIPAA and GDPR compliance?
Governance is built into the system architecture from the first design decision — data masking at the pipeline level, role-based access controls, complete audit trails for every AI action, and human-in-the-loop checkpoints for high-risk outputs. We have production experience in both environments and know what auditors look for.
When do you use n8n versus an enterprise platform like MuleSoft or Boomi?
The decision comes down to two things: security requirements and data volume. Enterprise platforms handle higher throughput, complex corporate security configurations, and regulated environments where auditability and compliance are non-negotiable. n8n, Make, and Zapier are better suited to contained implementations with modern APIs, lighter data loads, and faster build cycles. There is a point where a smaller tool reaches its limits — we identify that before you build into it.
Can automation be added to an existing system without a full rewrite?
Yes, in most cases. We assess the existing architecture first — what’s working, what’s brittle, what can be extended. AI layers integrate into current stacks via APIs and standard interfaces. A full rewrite is rarely necessary and almost never the right starting point.
How is this different from RPA?
Robotic process automation automates UI-level interactions — clicking buttons, filling forms — and works by mimicking human actions on a screen. What we do is system-level integration using low-code and no-code platforms: connecting applications through APIs and data layers, without scripting UI interactions. These approaches solve different problems.
