Let's discuss your project.
Tell us about your situation and your objectives. We will come back to you to arrange a first conversation.
[Email address] · [Phone number]Let systems handle the repetitive work.
Data entry, copying between systems, document handling and routine requests take time your teams could spend elsewhere. We automate these tasks and use AI where the problem and the data justify it.
Supplier invoice automationIllustrative example
TriggerNew supplier invoice received by email
Document AISupplier, amount and due date extracted
RuleCompared with the purchase order
DecisionAmounts match?
Match · posted to accountingMismatch · sent for review
Situations this service addresses.
01Hours spent copying dataThe same information is moved by hand from emails and files into systems.
02Documents handled one by oneInvoices, forms and contracts are read, sorted and keyed in manually.
03Routine requests answered manuallyStaff answer the same questions every day.
04Interest in AI without a use caseAI is on the agenda, but no one has defined where it would help.
How we address them.
We recommend AI only where it fits the problem and the available data. Many gains come from simpler automation.
01
Find the right candidatesWe identify tasks that are frequent, rule-based and costly in time, and estimate the effort to automate each.02
Automate, then add intelligenceRule-based automation comes first. AI is added where documents, language or predictions require it.03
Monitor and improveEvery automation is monitored, with clear handling of exceptions by your teams.What the work covers.
01
AI opportunity assessmentWhere AI can help, what data it needs and what it would change.
02
Workflow automationTriggers, approvals and notifications across your tools.
03
Robotic process automationSoftware robots for applications that offer no integration.
04
Document processingExtraction and classification of data from invoices, forms and contracts.
05
AI assistantsAssistants that answer staff or customer questions from your own information.
06
Predictive modelsForecasts of demand, risk or workload from historical data.
What you receive
Map of automation opportunitiesAutomations in production, with monitoringException handling proceduresModel documentation and usage guidelinesTeam training
Included where relevantTraining & knowledge transferSupport, maintenance & continuous improvementHow these work across services
What should improve, and how we measure it.
Targets are agreed with you during the Diagnose stage, against a measured baseline. We do not promise figures before we have seen your data.
IndicatorHours of manual work per month
IndicatorAverage response time
IndicatorError rate on processed documents
IndicatorShare of requests handled automatically
Where this service applies.
How an engagement runs.
Every engagement follows the PraxyNova Performance Method. For this service, most of the work happens in the highlighted stages.
01DiscoverUnderstand the organization and its processes.
02DiagnoseInventory of repetitive tasks and automation potential.
03StrategizeDefine the appropriate transformation roadmap.
04EngineerBuild, test and deploy automations and models.
05MeasureVolumes processed, exceptions and time saved.
06OptimizeExtension to new tasks and model improvement.