Agentic AI Development Solutions

Organizations increasingly seek AI that performs substantive, multistep work within their operating environments rather than responding to individual queries in isolation. With BRG’s Agentic AI Development service offering, we design and deploy production-grade AI agents: software systems that plan and act across multistep processes, operate inside existing enterprise systems, and remain under human oversight. These agents combine large and small language models, process automation, and system integration to perform work that previously required sustained manual effort, including the gathering and analysis of data, preparation of documents, and execution of defined actions in systems of record.

Large language models handle complex reasoning across broad tasks. Purpose-built small language models are trained or fine-tuned for specialization, cost, latency, and privacy, running entirely within the client environment where high-volume, sensitive work demands it.

We design for environments in which the resulting work must withstand external scrutiny, including regulatory review, industry standard adherence, audit, deposition, and cross-examination. An agent’s output—and the process that produced it—must be explicable to an auditor, regulator, opposing counsel, or board and must operate within enterprise security and policy. Our teams combine AI engineering, data science, and industry consulting to design each agent to operate within a client’s operational and regulatory constraints.

Our Approach to Agentic Development

We deliver composable, end-to-end solutions with measurable business value. We design each solution to operate within your systems of record, under your governance, and with a defined business case and measures of success established before any build.

Every engagement follows a common lifecycle:

• Opportunity assessment and scoping. We identify the workflows suited to agentic automation, classify their risk, and define the business case and measures of success before any build.
• Agent design and architecture. We design the solution, select the model composition and tools, and plan integration with existing systems of record.
• Build and integration. We develop custom agents and connect them to operational, accounting, case management, clinical, or eDiscovery environments, without requiring re-platforming.
• Evaluation and pre-deployment testing. We measure performance and failure modes, test against defined criteria, and produce the evaluation record that supports deployment.

Maintaining Agentic AI Solutions

How the solution is operated and maintained after deployment depends on the engagement model you choose:

• Managed solution. BRG deploys, monitors, and operates the solution on a governed platform. We maintain the agents, manage cross-system integration, and handle versioning as models and requirements change. You receive the business outcome—throughput gains, cost savings, quality improvements—measured against the agreed criteria, with human-in-the-loop controls and a complete operating record maintained throughout.
• Solution + platform. The same governed platform is deployed in your environment, together with the initial solution. Your teams can compose additional solutions on the same foundation, reusing the institutional context, evaluation records, and operating history that accumulate over time. Each subsequent solution is faster to stand up and more straightforward to defend. BRG provides training, documentation, and ongoing support, so your teams can build with confidence while we remain available to assist at any point.

We can deliver either model as a managed service or SaaS (software as a service) depending on your operating preferences and regulatory requirements.