What are agents?
The next evolution in automation
Turn complex processes into smarter, faster business decisions with AI agents.
Introducing agents
Powered by AI technologies like large language models, machine learning, and enterprise automation, agents operate in dynamic environments where conditions constantly change.
Unlike traditional automation that follows fixed rules, agents can plan, act, learn, and adapt. This makes them perfect for processes requiring judgment, flexibility, and contextual awareness.
Why agents matter
- Beyond rules
- Built for complexity
- What agents enable
Beyond rules-based automation
Traditional systems like RPA robots follow structured logic: if A happens, do B. Every time. This works for predictable tasks, but breaks when facing exceptions or variations.
Agents use a probabilistic approach, making decisions based on patterns and real-time data. They evaluate possibilities, weigh outcomes, and choose the best action for each unique situation.
Built for complex business reality
Modern business processes are messy. Multiple systems, changing conditions, incomplete information, constant exceptions. Traditional automation struggles with this complexity.
Agents thrive in dynamic environments because they:
- Interpret context from unstructured data
- Adapt without reprogramming
- Handle exceptions through reasoning
- Learn and improve over time
- Collaborate with humans and systems
What agents enable
- Speed + Quality: No more choosing between fast or thorough. Agents deliver both.
- Intelligent Scale: Handle growing complexity, not just growing volume.
- Continuous Improvement: Get better automatically without manual updates.
- End-to-End Automation: Manage complete workflows, not just isolated tasks.
We’ve built specialized agentic AI solutions that don’t just analyze — they predict, decide, and act autonomously to drive real commercial results for inventory-intensive businesses.
Agentic Intelligence will fundamentally change the way you work
Peak’s agentic AI solutions drive measurable business impact for inventory-intensive businesses, through a unique combination of predictive AI, decision optimization, and automation. These end-to-end solutions don’t just provide insight — they have the autonomy to decide, rationalize, adapt, and act to complete the entire workflow.
How Agentic Intelligence works
Decisions are made in real-time, executed instantly, and optimized continuously — delivering measurable positive impact, while your teams focus on strategic growth.
AI models analyze real-time and historical data to generate forecasts, detect patterns, and surface risks or opportunities.
Optimization engines take those predictions and apply business logic, constraints, and objectives to recommend the best course of action.
AI agents take those decisions and carry them out, communicating with humans and integrating into business systems to automate workflows, trigger changes, and continuously learn from outcomes.