Applied AI agents, market, and commercial execution

AI projects to accelerate market execution

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.

AI agent orchestration dashboard

Partners who trust Dimensiva's work

Brands and operations that value technology, data, and well-connected processes.

What we build

AI applied to the real rhythm of commercial operations

It is not just a chatbot. These are decision and execution systems that combine internal data, external signals, business rules, and specialized agents.

Multiple agents

Agents with defined roles: market researcher, commercial analyst, note auditor, KPI specialist, and next-action orchestrator.

Market intelligence

Monitoring competitors, segments, opportunities, trends, objections, behavior changes, and demand signals.

Commercial execution

Portfolio prioritization, playbooks, outreach cadences, profile-based arguments, commercial notes, and conversion tracking.

KPIs and goals

Dashboards and alerts for funnel, sales cycle, forecast revenue, margin, productivity, churn, repurchase, and execution quality.

Notes and recommendations

Service summaries, opportunity scoring, reasoning, next steps, and recommendations written in language the team can use.

Commercial structure

Design of stages, criteria, cadences, responsibilities, SLAs, and governance so AI works alongside the team.

How it works

From scattered information to guided action

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.

  • Connect dataCRM, ERP, spreadsheets, commercial databases, notes, service history, and external sources.
  • Model knowledgeCommercial rules, prioritization criteria, segments, products, goals, and company language.
  • Orchestrate agentsEach agent performs a specific function, with checkpoints, validations, and shared context.
  • Measure executionKPIs show impact, bottlenecks, conversion, note quality, and adherence to the commercial process.
  • Scale with controlAutomation grows in cycles, with governance, security, human review, and continuous improvement.
Metrics

AI that shows up in results, not just in demos

We design every solution with adoption, efficiency, and commercial impact metrics from the first cycle.

+ focusRanking of accounts, opportunities, and actions by potential and urgency.
- noiseStandardized notes, summaries, and recommendations to reduce rework.
+ rhythmCommercial cadence tracked through alerts, SLAs, and next steps.
+ visibilityKPIs connected to funnel, portfolio, market, productivity, and margin.
Next step

Let's turn your operation into an intelligent execution system

Dimensiva can map your commercial structure, identify automation opportunities, and design a pilot with AI agents, KPIs, and governance from the start.

Start AI diagnosis