Repeated data entry
Moving information between email, spreadsheets and your ERP takes time and adds checking work.
We listen to your business, map your processes and build practical solutions with custom software, ERP integration and AI that fit the way you work.
First, let’s understand the bottleneck together.
Request and order details arrive.
Products, customers and quantities are checked.
Uncertain records go to the responsible person.
Approved records are processed and tracked.
Illustrative scenario · No live customer data
An approach that connects the systems you already use.
Entering the same information in several systems, relying on individual knowledge and managing disconnected files are process problems we can address together.
Moving information between email, spreadsheets and your ERP takes time and adds checking work.
A few people hold the knowledge of how things work, making handovers and follow-up difficult.
It is hard to see where work is stuck, whose approval is needed and what should happen next.
We define the right problem, then bring together the software, integration and automation it needs.
We map who does the work, what information is used and which exceptions occur, then prioritise practical opportunities together.
We connect your ERP, databases and applications through controlled data exchange, using supported APIs or approved access methods.
We turn repetitive steps into rules, notifications and approval points, making ownership and progress visible.
We test the suitability of AI for document extraction, classification, summarisation and source-based knowledge retrieval, with controls for uncertainty.
We connect scattered data to useful business measures and make clear what each report measures and where its data comes from.
We track issues, changing requirements and performance after launch. Support scope and working arrangements are agreed separately.
These scenarios illustrate possible implementations. Actual scope depends on an assessment of your systems and data.
An example workflow that brings scattered order information through validation, approval and recording.
Explore this scenarioAn example workflow that tracks status, responsibility and next steps alongside the existing production setup.
Explore this scenarioAn example approach to finding and using company knowledge while preserving access permissions.
Explore this scenarioWe agree on the work, responsibilities and deliverables before implementation begins.
How we workInitial needs summary and key stakeholders.
Process map, opportunity list and priority.
Defined scope, pilot findings and implementation decision.
Testable application, integration and logging.
Usage notes, handover documents and controlled launch.
Monitoring findings and the next improvement plan.
Enter your own assumptions to explore the potential time difference. This is an estimate, not a savings commitment.
Request a conversationTransactions × working days × time difference ÷ 60. The annual figure assumes 12 identical months and excludes implementation and maintenance time.
We analyse how work happens in your business, then design and implement the software, system connections and automation it needs. Technical development is considered alongside the process and its users.
No. Conventional software and automation may be more suitable for tasks governed by fixed rules. AI is used for areas such as document understanding, classification or information retrieval when evaluation shows that it adds value.
Many engagements can work around the existing system. We first review its version, licence, API capabilities and permitted data access. This assessment determines which connections can be built.
A short description of the process, the systems involved and an example of the problem are enough. There is no need to share confidential documents or live customer data in the first message.
Let’s understand the current situation, then identify a practical, measurable place to start.