Agentic systems go beyond static insights to actively executing tasks, streamlining complex workflows, and adapting to dynamic environments — all with less oversight. We help you move from reactive automation to proactive intelligence that unlocks cost savings, productivity gains, and a competitive advantage.
Agentic AI turns goals into outcomes. These systems don’t wait for commands — they execute tasks, solve problems, and deliver results faster than human teams alone.
Automate high-effort tasks that would otherwise need constant supervision so your team can focus on high-value work.
AI agents work around the clock and across tools, cutting response times, speeding up workflows, and delivering faster results.
Agentic systems can handle growing complexity without a spike in headcount. Scale your impact, not your overhead.
– CEO, Fleet Management Software Company
We combine deep technical expertise with pragmatism to help you go from idea to execution. Whether starting with a problem or a prototype, we offer flexible services to meet you where you are.
We design AI agents around your specific goals, infrastructure, and workflows. From LLM-powered agents to tool-using task runners, we build agents that are empowered to act.
Not sure where to start? We help you define use cases, set success metrics, and architect a scalable foundation for agentic systems that evolve with your business.
We connect your AI agents with messaging tools, productivity software, CRMs, ticketing systems, and internal APIs so every action is based on current data.
We don’t just ship — we stress-test. Every build includes structured evaluation, human oversight options, and safeguards to ensure agents stay aligned and on-task.
From pilot projects to production rollouts, we help you launch, monitor, and fine-tune agentic systems and stay on top of new capabilities as the space evolves.
Quickly find information across all your connected apps, from Google Drive and SharePoint to Jira and ServiceNow.
Deploy custom AI agents to automate complex workflows and execute tasks, significantly cutting down on manual effort.
Get clear, actionable insights from your data, empowering your teams to make faster, smarter decisions.
Build and manage AI agents at scale on a secure, compliant platform, with options for custom solutions.
Partner with Nerdery to leverage Gemini Enterprise and drive your organization’s journey toward proactive intelligence and scalable impact.
80%
Gartner predicts agentic AI will autonomously resolve 80% of common customer service issues without human intervention by 2029
920%
GitHub activity data shows that repositories using agentic AI frameworks such as AutoGPT, BabyAGI, OpenDevin, and CrewAI increased by 920% from 2023 to mid-2025
50%
Deloitte predicts that in 2025, 25% of companies that use gen AI will launch agentic AI pilots or proofs of concept, growing to 50% in 2027
At Nerdery, we don’t just build what’s possible, we build what works. Our delivery model is grounded in transparency, collaboration, and real-world impact. We follow an agile, experiment-driven process to turn ideas into working agents:
We work with you to identify high-value use cases with measurable outcomes.
We quickly build and test agentic solutions using real-world data and tools — not just sandbox demos.
From internal pilots to production-ready systems, we ensure your agent is performant, secure, and aligned with business goals.
AI agents are intelligent software programs designed to perceive their environment, make autonomous decisions, and take actions to achieve specific goals. Unlike traditional AI models that primarily provide insights, AI agents can proactively interact with systems and data, learn from experience, and adapt to new information without constant human oversight.
Traditional AI typically analyzes data and provides insights based on predefined rules or trained data. Chatbots follow scripts. AI agents, however, possess autonomy, perception, decision-making capabilities, and continuous learning. They can understand complex queries, perform multi-step tasks, and even interact with other systems and APIs in real-time to achieve objectives, making them proactive partners rather than reactive tools.
Developing AI agents offers numerous benefits, including:
Increased efficiency and productivity: Automating repetitive, time-consuming tasks, freeing up human employees for higher-value work.
Enhanced decision-making: Analyzing vast amounts of data quickly and accurately to provide real-time insights and inform strategic decisions.
Improved customer experience: Providing personalized, 24/7 support, automating service requests, and resolving issues proactively.
Cost reduction: Automating tasks and optimizing processes to reduce operational expenses.
Scalability: Handling growing workloads without compromising quality or performance.
Continuous improvement: Learning from interactions and data to constantly refine their performance and adapt to evolving needs.
Our AI agent development process typically involves:
AI agents thrive on high-quality, relevant data. This can include:
Historical interaction data: For customer service agents, this might involve past chat logs, email conversations, and support tickets.
Operational data: For efficiency-focused agents, this could be supply chain data, manufacturing metrics, or financial records.
Knowledge base content: FAQs, articles, and documentation provide the agent with factual information.
User feedback: Direct feedback helps in continuous improvement and fine-tuning. The data needs are highly dependent on the agent’s specific purpose and domain.
The development timeline for an AI agent varies significantly based on complexity, scope, and integration requirements. Please get in touch for an initial consultation and we can start to develop an estimated timeline.
The cost of AI agent development is highly variable and depends on factors such as:
