Multiple agents
Agents with defined roles: market researcher, commercial analyst, note auditor, KPI specialist, and next-action orchestrator.
Dimensiva creates artificial intelligence solutions that connect multiple agents, market intelligence, commercial structure, and KPIs to turn scattered data into coordinated action.
The goal is clear: increase decision speed, prioritize opportunities, qualify notes, and guide sales teams with practical, measurable, and traceable signals.
Brands and operations that value technology, data, and well-connected processes.
















It is not just a chatbot. These are decision and execution systems that combine internal data, external signals, business rules, and specialized agents.
Agents with defined roles: market researcher, commercial analyst, note auditor, KPI specialist, and next-action orchestrator.
Monitoring competitors, segments, opportunities, trends, objections, behavior changes, and demand signals.
Portfolio prioritization, playbooks, outreach cadences, profile-based arguments, commercial notes, and conversion tracking.
Dashboards and alerts for funnel, sales cycle, forecast revenue, margin, productivity, churn, repurchase, and execution quality.
Service summaries, opportunity scoring, reasoning, next steps, and recommendations written in language the team can use.
Design of stages, criteria, cadences, responsibilities, SLAs, and governance so AI works alongside the team.
We start with an operational diagnosis: channels, CRM, spreadsheets, proposals, notes, goals, regions, segments, objections, and existing metrics.
Then we structure specialized agents that work on reliable data, with clear rules, audit trails, and useful outputs for commercial routines.
The result is an execution engine: each opportunity receives context, priority, recommendation, and KPI tracking.
We design every solution with adoption, efficiency, and commercial impact metrics from the first cycle.
Dimensiva can map your commercial structure, identify automation opportunities, and design a pilot with AI agents, KPIs, and governance from the start.
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