From the principle of engagement to industrialization, a method that combines consulting and data.
NLP starts from the business opportunity, never from technical capability. No "data for the sake of data".
NLP reasons in direct, measurable benefits: revenue, cost, profitability, compliance. Fast and demonstrated ROI.
NLP positions itself early, on proofs of concept, with functional demonstrators (ideally MVPs).
NLP complements and strengthens your internal AI teams rather than competing with them.
Two streams run in parallel, up to a supported GO / NO GO decision.
Quality, infrastructure, organization and governance of data.
Management dashboards (e.g. cost-of-goods tracking).
Forecasting, classification, segmentation (e.g. demand, profitability).
Information extraction, generation, natural language processing.
Causal graphs to understand and simulate scenarios.
Development of Skills, conversational agents, and process automation (Loops).