AI · MACHINE LEARNING · AUTOMATION
3i Web Solutions works on artificial intelligence, machine learning and business automation. We connect intelligent applications, data models and automated workflows with your ERP, documents and existing systems.
View full interface THREE CONNECTED CAPABILITIES
The starting point is a specific business task. These examples show potential scope; the right approach depends on your data, systems and operating requirements.
Assist people with reading, finding and understanding information across business documents and applications.
Develop and evaluate models for a defined prediction or classification task, using relevant business data.
Connect repetitive steps across teams, documents and applications while keeping approvals and exceptions visible.
WHEN THIS WORK MATTERS
The right technical solution becomes clearer when the business problem is described in transactions, responsibilities, exceptions and desired outcomes.
Assist teams with extraction, categorization and routing where confidence is measurable.
Surface anomalies, exceptions and patterns at the point of decision.
Keep approvals, thresholds and audit context around automated actions.
HOW WE APPROACH IT
We make process decisions explicit before implementation so the software can behave predictably in normal and exceptional situations.
Identify high-volume work with clear inputs and outcomes.
Review data quality, access, permissions and a baseline for evaluating the task.
Use ERP, documents and APIs as grounded business inputs.
Choose full automation or human-in-the-loop.
Compare results with the agreed baseline and track errors, overrides and model behaviour after release.
CAPABILITIES
Scope depends on the operating model. These capabilities can be combined into one delivery rather than treated as disconnected features.
BUSINESS OUTCOME
Software value should show up in visibility, cycle time, control, data quality and the effort required to make decisions.
Reduce repetitive work that does not need human judgment.
Bring important anomalies to attention earlier.
Keep accountable rules around machine-assisted actions.
Connect AI to real business data instead of generic prompts.
Process first.
Technology second.
