Business automation
We analyse how your organisation works and turn manual, repetitive, rule-based tasks into automated, connected and traceable processes. We combine artificial intelligence, workflow automation, RPA, integrations and custom development to improve operational efficiency.
First we understand and optimise the process. Then we select the most suitable technology for its rules, exceptions and existing systems.
Solutions tailored to SMEs and large organisations.
Choose a use case and compare the current process with the automated workflow.
Current process
Automated process
Current process
Automated process
Current process
Automated process
Current process
Automated process
Current process
Automated process
Your team steps in for the decisions, validations and exceptions that genuinely require human judgement.
We understand the process, the rules, the applications and the exceptions.
We remove unnecessary steps and define a more efficient target process.
We implement workflows, artificial intelligence, RPA and tailored integrations.
We measure performance, document the solution and adapt it when the process changes.
AI process automation combines artificial intelligence, workflow automation, RPA and system integration to run business tasks that currently require manual work. It can receive information, interpret it, apply rules, update applications, generate documents, send notifications and record every outcome.
At Nexum Automatics we start with the process, not the tool. We analyse how information flows, which people and applications are involved, which rules must be met and which exceptions need supervision. From that analysis we simplify the process and design a solution that fits how the organisation actually works. Optimising processes with AI begins precisely there: understanding the work before automating it.
The result is a faster, more consistent and traceable workflow, where technology handles the repetitive tasks and the team keeps control over the decisions, validations and exceptions that require human judgement.
This approach is also known as business process automation, or BPA.
An email, document, form, data point or event that starts the process.
Classification, extraction or understanding of information when the content is unstructured.
Checking conditions, mandatory data, thresholds and exceptions.
Querying or updating ERP, CRM, Microsoft 365, databases and other applications.
A person steps in when the decision requires judgement, accountability or review.
Generation of the document, record, reply, approval or corresponding action.
Storage of the status, the actions taken and the exceptions detected.
A task is a good candidate for automation when it happens often, follows identifiable rules, uses digital information and consumes time in reviews, data entry, communications or transfers between systems. Nexum analyses each case to determine which parts should be simplified, automated or kept under human control.
We automate the receipt, classification, extraction, validation, recording and filing of invoices, delivery notes, orders, forms and other documents. Artificial intelligence can interpret unstructured information, while the process rules determine which data is recorded and which exceptions need review.
We classify messages, identify the type of request, create records, assign owners, prepare drafts and track deadlines. The process keeps a full audit trail from the moment a message arrives until it is resolved.
We connect spreadsheets, databases, ERP, CRM and other sources to consolidate information, apply validations and produce recurring reports with up-to-date figures. Results can be distributed automatically or made available for review.
We automate the logging of requests, data checks, document generation, approval workflows, status updates and communication between everyone involved.
We design workflows for expenses, due dates, reconciliation of information, onboarding and offboarding, document collection, leave, holidays and other internal tasks that require coordination and follow-up.
We connect forms, email, CRM, ERP and management tools to log opportunities, distribute tasks, update information, coordinate responses and keep a traceable view of the process.
A business process usually combines people, information, rules and several different applications. An effective solution may therefore need several capabilities working together.
We design sequences that coordinate tasks, owners, rules, approvals, documents, notifications and exceptions. Workflows can be triggered by an event, a schedule, a request or an action taken by your team.
We connect the tools your organisation already uses to avoid duplicate data entry and manual transfers. We integrate systems through connectors, APIs, webhooks, databases and purpose-built components.
We bring in artificial intelligence when the process needs to interpret documents, messages or unstructured information. AI can classify, extract, summarise or prepare information, with human validation at defined points.
We use RPA when an application has no suitable API or connector. The automation interacts in a controlled way with web or desktop applications and logs its execution to support supervision.
When a standard platform does not cover every requirement, we develop connectors, services, forms, dashboards, interfaces and specific components that fit into the process.
We log executions, timings, incidents and exceptions to verify how the process performs and to identify new opportunities to simplify and improve it.
We select the technology based on the process, the existing applications, security requirements, transaction volume, maintainability and room to evolve. Our recommendation aims to make the most of your current technology environment and avoid unnecessary dependencies or tools.
Workflow automation within Microsoft 365 environments, including integrations with Outlook, Teams, SharePoint, Excel, approvals and compatible applications.
Workflow orchestration with advanced logic, API-based integrations and the option to adapt the architecture to your technical and governance requirements.
Visual process automation and application integration through events, routes, filters and data transformations.
Automation of tasks across web or desktop applications where no suitable direct integration exists.
Direct integrations between ERP, CRM, corporate applications, databases and digital services.
AI models and services chosen according to the use case, the information handled, the level of control required and the security conditions of the project.
We document the current process, the people involved, the applications used, the rules, the exceptions and the points where delays, errors or duplication occur.
We remove unnecessary steps, define responsibilities and design how the process should work before automating it.
We configure the workflows, build the components required and connect the applications and data sources involved.
We validate the process against real situations, including exceptions, data errors and cases that need human intervention. Roll-out is planned to limit disruption to day-to-day operations.
We monitor performance, document the solution and make the adjustments needed when tools, rules or business requirements change.
Sequence, participants, systems, rules, problems and exceptions.
Simplified workflow, responsibilities, validations and control points.
Workflows, connectors, components and the configuration required.
Standard cases, exceptions, errors and recovery from incidents.
Functional and technical explanation of the solution, plus training for the people involved.
Execution tracking, alerts, maintenance and evolution of the process.
The final scope of each project is set out in the proposal, based on the process analysed and the objectives agreed.
Before rolling out the solution, we define the indicators that will show whether it has improved. Measurement is tailored to the process and to your organisation’s objectives.
The architecture of each solution is defined according to the systems involved, the information handled and your organisation’s internal requirements. Before rolling out the process, we establish which data is used, what permissions each component needs, which actions must be logged and which decisions require human validation.
AI process automation applies just as well to an SME that wants to eliminate one specific administrative task as to a larger organisation that needs to coordinate processes across several departments and systems. The scope adapts to the volume, complexity and objectives of each business.
A process is worth analysing when it:
Roll-out can start with one priority process and extend gradually to new areas once the first workflow has been validated.
The cost depends on the number of stages, the applications that need connecting, the volume of information, the rules and exceptions, the use of artificial intelligence, security requirements and the level of maintenance needed. A workflow that links existing tools is not the same undertaking as a complete process involving document interpretation, RPA, bespoke integrations and supervision.
After the initial analysis, Nexum Automatics puts together a proposal covering scope, phases, deliverables, timescale, indicators and budget. That way the investment is tied to a specific process and to results that can be measured.
We analyse how it works today, identify which parts can be simplified or automated, and put together a first proposal tailored to your systems and objectives.
You can automate processes that receive information, apply rules, move data between applications, generate documents, coordinate approvals or require follow-up. Artificial intelligence is particularly useful when the process needs to interpret documents, emails or unstructured text. The initial analysis determines which parts can be automated and which should keep human involvement.
No. Many tasks are handled more reliably with rules, integrations and conventional automation. Artificial intelligence is introduced when it provides a capability the process actually needs, such as classifying messages, extracting information from documents, summarising content or interpreting natural language.
It is best to start with a process that is frequent, stable, measurable and carries a significant manual workload. We also weigh up the risk of error, the number of people involved, the availability of the data and how easily it integrates with your current systems.
Yes, provided there is a suitable technical route. We can use connectors, APIs, webhooks, databases or RPA depending on the characteristics of each application. Feasibility and the integration method are confirmed during the technical analysis.
The cost depends on the scope, the applications involved, the rules and exceptions, the volume, the use of artificial intelligence and the maintenance requirements. Once we have analysed the process, we define a proposal covering scope, timescale, deliverables and budget.
The timescale depends on the complexity of the process and the integrations required. A contained workflow can be tackled in a first phase, whereas a process spanning several applications, exceptions and artificial intelligence needs more design and validation. The schedule is agreed before development begins.
Yes. An SME can start with one specific task and extend the automation gradually. A larger organisation can use the same approach to coordinate processes across departments, establish controls and connect different systems.
The architecture is defined according to the information handled and your organisation’s requirements. We establish permissions, credentials, logging, validations and criteria for human intervention. Hosting, retention and data processing conditions are reviewed for each technology used.
Processes should be reviewed whenever applications, data formats, permissions or business rules change. Monitoring makes it possible to detect errors and exceptions, while documentation supports the maintenance and evolution of the solution.
The aim is to reduce repetitive tasks and free up capacity for work that requires judgement, client relationships, analysis or decision-making. People continue to handle the validations, decisions and exceptions that call for accountability or business knowledge.