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Industries and verticals

These are the areas where autonomous and managed AI agents bring the clearest benefits

Critical, decision-making, document-driven, and high-volume processes, including regulated ones — where compliance and auditing are mandatory, costs are tracked, and baselines are in place, even if not formally recognized.

Example areas

Industries and their opportunities

Financial services

Budgets, maturity, and regulatory requirements differ significantly between processes. This situation favors companies that provide strong audit evidence and data to improve processes.

R$ 50.4bnin Brazilian banking technology spend in 2026; 84% name generative AI as the leading theme, and around 60% are still at an early stageFebraban
Financial reconciliation and document analysis

Insurance

A vertical with high AI investment and little perceived impact so far, with room for automation and improvement in claims, underwriting, and operations.

77%of insurers say AI use has not yet had a significant impact (the sector invests R$ 2.6bn in 2026)Sindseg
Claim triage and document analysis

Retail and logistics

Large product catalogs and document-intensive processes — naturally aligned with continuous efficiency improvement, as volumes are already measured and unit costs are monitored.

R$ 940bn/yrin annual logistics costs in Brazil; fewer than 10% of retailers use advanced AI in pricing and inventoryExame / CRM Bonus
Order processing and reconciliation

Back and Middle Office

Back office and middle office are important operational areas across all verticals, with great opportunities for AI agents. Processes in these areas have regulatory and compliance needs that are often far greater than those of the core business itself.

77%of lawyers use AI; only 11% of firms have formal guidelines for itAnálise Editorial
Contract review and compliance

Agentic markets

When the other side has an agent too

The first agents represent one side only: the buyer who searches, compares, and asks. They choose among offers the company put together in advance. The bigger shift comes when the company has its own agent, one that answers, adjusts, and builds the offer together with the buyer's. AInda builds that side. And that is where governance becomes the critical path: an agent that makes offers on a company's behalf needs an owner, defined authority, measured cost, and a record of every negotiation.

The distinction between agentic participants and agentic markets comes from Sangeet Paul Choudary, “Agents — and their better half” (Oct 2026).

AInda does not act directly when decisions require definitive clinical or legal judgments, or regulatory discretion. In these cases, agents prepare and package evidence, and decisions remain with identified people, who sign them on an audit record.