Most companies talk about deploying AI for their clients. Devlane is now turning that lens inward, launching an internal agent designed to weave artificial intelligence into the fabric of its own daily operations.
Devlane is taking AI beyond client work with Lainey, an internal agent built to connect its own systems, data and workflows across the company.
We didn’t want another AI tool people would have to learn and manage separately. The idea behind Lainey is to work with the systems and processes we already have and make them easier to use together.”— Martin Laclau, Managing Director at DevlaneLOS ANGELES, CA, UNITED STATES, October 23, 2026 /EINPresswire.com/ — The internal AI agent connects Devlane’s existing systems, data and workflows to help teams access information and automate recurring processes.
The company is broadening its use of artificial intelligence across internal operations with Lainey, an AI agent constructed around the platforms, data sets, and routines that employees already rely on day to day.
Instead of positioning AI as yet another separate application, Devlane built Lainey to function as an integration layer atop current platforms and corporate data. Staff can use it to pull up information, cross-check data, initiate processes, and handle routine tasks without hopping between different software tools.
This push is part of a wider initiative to find real-world AI applications throughout the organization, zeroing in on workflows where technology can eliminate friction, link disparate data points, and streamline the use of current systems.
Lainey’s core strength lies in the organizational context it can assemble. Corporate information rarely lives in a single repository. Recruiting details might be in one application, employee records in another, and operational logs elsewhere. Even a basic inquiry often requires gathering data from multiple sources.
Lainey is engineered to operate across those boundaries. Rather than developing isolated automations for each department, Devlane can construct workflows atop a unified AI layer that comprehends where data resides, how various systems interconnect, and what actions can be executed with that knowledge.
In Talent Acquisition, for instance, Lainey assists recruiters by simplifying access to relevant information within Devlane’s recruiting platforms and cutting down on repetitive administrative work. This frees the team to focus more on grasping role requirements, assessing applicants, and fostering connections during the hiring cycle.
That same foundation can then serve entirely different needs in People Experience, Administration, or executive leadership. An employee might need onboarding details, management could seek a specific company metric, or an administrative task might require verifying data across multiple sources. Rather than creating a new tool for every scenario, these interactions flow through the same AI layer, with data access remaining secure and consistent with existing permission protocols.
This approach lets AI integrate into existing work patterns instead of forcing employees to reshape their routines around a new platform.
Human oversight is still essential, particularly for workflows that involve decision-making or sensitive corporate data. The goal isn’t to eliminate people from these processes but to offer them superior data access, cut down on monotonous tasks, and forge connections between systems that would otherwise demand numerous manual steps.
Developing and deploying Lainey internally also provides Devlane with a live testing ground for assessing how AI agents perform in routine business operations. The company gains insight into where AI delivers tangible value, where human judgment remains indispensable, and how new use cases can be introduced without disrupting existing workflows.
These lessons carry directly into Devlane’s work with U.S.-based clients. Through its custom software development and broader engineering services, the company helps organizations build new products, internal platforms, APIs, legacy modernization projects, and AI-enabled software. As businesses seek more practical ways to apply AI, agents built around their own systems and business context offer an alternative to piling on more disconnected tools.
For companies curious about how an AI agent might connect their own information and workflows, Devlane can design and build solutions tailored to their existing operational style.
Learn more about Devlane’s software development capabilities at Devlane.
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About Devlane
Founded in Montevideo, Uruguay, Devlane is a technology partner helping U.S. companies design, build and evolve digital products and technology initiatives with teams across Latin America.
Operating across more than 15 countries, Devlane supports companies through staff augmentation, custom software development and AI development services, combining senior engineering talent with the technical and operational expertise needed to bring complex initiatives to life.
Devlane has partnered with companies including SpotOn, Everlane, Flo by Moen, ResortPass and Grindr.
Mikaela Cabella
Devlane
hello@devlane.com
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Why it matters: As enterprises grapple with AI adoption, Devlane’s internal experiment with Lainey offers a blueprint for integrating intelligent agents into existing infrastructure rather than bolting on new tools. The lessons gleaned from this real-world deployment could shape how the company advises its U.S. clients on practical, context-aware AI strategies.
