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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?

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.

Read the original account ↗

Further reading

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Learning path

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Environment, data and responsibilities in the same conversation.

DeploymentContext and data
Reference material