Skip to content

Partnerships · Algar / Brain

From each company's need to an operating solution.

Discovery, deployment, and ongoing support of agents for enterprise clients.

Organization
Algar / Brain
Operation
Enterprise partnership
Agent / delivery
Delivery partnership
Systems and context
Systems and channels defined for each operation.
Human involvement
Consulting, architecture, deployment, onboarding, and ongoing project support.

This is a delivery partnership for enterprise clients. The account connects needs discovery, development, deployment, and ongoing support, rather than presenting a single service journey.

The problem

Internal experience with AI generated demand from enterprise clients. Different needs had to be turned into solutions with delivery and follow-up.

What was put into practice

The partnership connects solution discovery and design to deployment, onboarding, and ongoing support by Starya, with follow-up from Algar and Brain.

  1. 01Client need
  2. 02Consulting and design
  3. 03Deployment and onboarding
  4. 04Support and ongoing maintenance
Process summarized from the published account.

From internal learning to client demand

The publication describes how Algar's experience with AI in its operations generated client interest in similar solutions. To address different needs, an offering had to be organized that included design and delivery work.

The partnership with Starya, through Brain, was structured to develop solutions based on each client's operational, sales, and process problems. This origin helps explain why the case concerns a working model rather than a ready-made product for every scenario.

Discovery, delivery, and continuity

Consultants and solution architects identify the problem. Starya participates in development, deployment, onboarding, support, and ongoing maintenance, with follow-up from Algar and Brain. Systems and channels depend on the defined project.

The account presents applications related to sales contact, documents, and financial service, as well as a concierge initiative whose development is still being described. The list shows a variety of needs; it does not prove that every possible application is ready or that every initiative is at the same stage.

Business and technical results have different evidence

The case reports the structuring of the enterprise offering and the existence of agents in operation. It also presents expansion goals and a future stage for validating indicators. These elements are kept separate: a goal is not an achieved result.

The available evidence supports the model of discovery, deployment, and monitoring. It does not allow a common saving to be attributed to all clients, the availability of every integration to be claimed, or a measured result by sector to be published.

The reported result and its scope

The partnership organizes an enterprise solutions offering with deployment work and operational continuity.

Expansion goals and future publication of indicators are not presented as results already demonstrated.

The lesson learned

The offering starts with each client's problem. Technology gains value when a team is responsible for connecting it to the process and monitoring its use.

What questions does this case help you ask?

  • What problem defines each company's first delivery?
  • Who participates in the design and who supports the ongoing operation?
  • How can initiatives at different stages be tracked without adding goals and results together?

Published indicators and testimonials

Case study published by Starya. The text, indicators and testimonials below belong to the scope described. They are not independent validation or a guarantee of results in another operation.

Partnership Indicators

Agents in production today
5
Agent target by Dec/2026
50
Partnership months with automatic renewal
24
Joint revenue target in 2026
R$ 40M

The Challenge

For two years, Algar applied artificial intelligence in its own operations and captured significant value in the process. When sharing these results with clients at events and within the ecosystem, the company began receiving direct demand for similar solutions. The existing portfolio, however, lacked depth in AI for the B2B market. Internal initiatives were isolated and not organized into a complete commercial offering. For 2026, Algar approved the structuring of a dedicated partnership and a squad to meet this demand and develop solutions for its client base.

The Solution

Algar, through Brain, and StaryaAI formed a 24-month partnership with automatic renewal to develop and deliver AI agents for the group's corporate clients. The model is Taylor Made: consultants and solution architects identify the operational, sales, or process problems of each client. StaryaAI handles the sale, delivery, and onboarding, acting as the support and sustaining arm of the projects, with continuous oversight from Algar and Brain. The partnership already has five agents in production and aims to reach 50 by the end of 2026.

Agents in production

  • Concierge 24×7

    The Concierge

    Digital concierge available 24 hours a day, 7 days a week for clients. Started as a pilot and is evolving to full production.

The Results

The partnership between Algar, Brain, and StaryaAI began operations in 2026 with five agents already deployed and in production for the group's client base. The agents cover customer service, document verification, voice sales, financial self-service, and 24×7 digital concierge experience. The key messages the partnership reinforces in the market are innovation and speed of delivery.

The proof points already achieved include replacing 300 call center positions with 24×7 service, delivering a document verification agent for health plan contracting, health plan sales operations, beneficiary service, billing, and credit recovery. The quantitative results of the partnership will be measured over four months and validated by Algar and Brain teams before any indicator publication.

Testimonial

After working internally for the past two years, Algar captured immense value using data analytics and AI. When we started sharing these results with the market, we received direct demand from our clients. As a solutions company, we should provide this type of delivery. We approved the partnership with StaryaAI to address this need and develop solutions for our client base.

Leandro Nazareth Souto — Head of Innovation · Brain / Algar

Next steps

The next steps describe plans recorded in the case study; they do not confirm subsequent delivery.

  1. Scale to 50 agents

    Expand the portfolio of active agents from 5 to 50 by the end of 2026, covering new use cases and clients.

  2. Indicator publication

    After 4 months of measurement, validate and publish the partnership traction indicators with Algar and Brain teams.

Source of the account

Summary of the case published by Starya. Results and scope belong to this operation; they are not a guarantee for other contexts.

Further reading

Continue exploring this context

Learning path

Decide on deployment

Environment, data and responsibilities in the same conversation.

DeploymentContext and data
Reference material