Accelerated Innovation

Designing and Developing Agents

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Designing and Developing Agents

Description

This capability focuses on designing, integrating, and deploying GenAI agents that can independently perform tasks, make decisions, and enhance solution intelligence. It includes creating specialized agents, coordinating their behavior, and managing performance in dynamic, real-world environments.

Why it's Important

As enterprise GenAI solutions evolve beyond static interactions and basic automation, agents offer a pathway to higher-impact, scalable capabilities. They can autonomously manage tasks like workflow routing, knowledge retrieval, or user support-enabling faster decision-making and greater personalization. When built well, agents reduce manual overhead, improve user experience, and unlock new types of value. But getting there requires careful orchestration, robust controls, and deep alignment with business needs. Mature agent ecosystems mark a key inflection point in the GenAI journey, signaling that an organization is moving beyond pilots to next-gen solution design.

Why it's Challenging @ Scale

  • Fragmented agent architectures: Different teams often design agents in isolation, leading to inconsistent performance and redundant functionality
  • Orchestration overhead: Coordinating multiple agents across systems requires advanced routing, prioritization, and context management strategies
  • Gaps in monitoring and controls: Without clear safeguards and observability, agent behaviors can drift from intended outcomes or fail silently
  • Limited training data for autonomy: Agents need domain-specific inputs and feedback loops to improve decision quality and reliability over time
  • Unclear ROI on agent development: Without clear success metrics, it’s difficult to justify sustained investment or expansion across workflows

Complexity

High: Maturing this capability requires deep technical integration, advanced governance, and continuous feedback to scale agent impact across business units

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Taking Action

Though most organizations begin their GenAI journey with significant knowledge gaps, there are targeted actions that can be taken to accelerate the process. Select your group’s current maturity, based on your assessment results, and act today.

The most important part of any journey is starting… To move from “Exploring” to “Experimenting”, focus on the following key actions:
  • Explore Key Concepts & Best Practices: Complete the Building Extensible GenAI Solutions (Routers, Tools & Agents) workshop (2 hrs.) to understand foundational key concepts and explore applied best practices
  • Exploring Extensibility in GenAI Architectures
  • Reviewing Core Router, Tool, and Agent Concepts
  • Identifying Use Cases for Modular Expansion
  • Aligning Extensibility to Business and Tech Goals
  • Planning for Long-Term Maintainability
  • Define Your Action Plan: Outline concrete, prioritized steps your organization will take to implement GenAI Strategy
  • Align on your Current State and define your Target State
  • Create an actionable enablement plan
  • Define target timeline and measures of success
  • Deliver Quick Wins: Small, high-impact GenAI projects that can demonstrate tangible value in a short time frame
  • Agent-Powered Pilot for Internal Workflows: Stand up a basic agent to automate a repetitive task or internal workflow
  • Single-Agent Sandbox for Learning & Testing: Deploy a learning environment where teams can experiment safely with agent autonomy
  • Lightweight Agent Evaluation Checklist: Create a simple review tool to assess early-stage agent effectiveness, safety, and impact
To move from Experimentation to “Lifting-Off”, prioritize the following actions:
  • Complete one or more of our Deep Dive Courses: Begin exploring key concepts and best practices, including:
  • Tool Selection and Integration
  • Tool Orchestration and Controls
  • Data Handling and Security
  • Tool Explainability & Customization
  • Tool Chaining
  • Self-Tuning Tools
  • Tool Cost Optimization
  • Nail It Before You Scale It: Assess and optimize your solution or process before adopting it at scale
  • Assess Your Proposed Solution or Process: Evaluate where agents are delivering value, where they struggle, and where improvements are most needed
  • Define in-scope Processes and Guardrails: Specify which workflows agents should support, and define the controls that govern their decisions and outputs
  • Close any Data or Measurement Gaps: Identify missing training signals or feedback loops that impact agent reliability, relevance, or trust
  • Define Your Adoption & Scaling Plan: Create a structured roadmap for how GenAI solutions will be rolled out across teams, workflows, or business units
  • Define Your Phased Implementation Plan: Identify where agents can be layered into existing solutions, and prioritize by impact and readiness
  • Build Awareness and Finalize Enablers: Ensure delivery teams have the documentation, demos, and tools needed to support agent integration
  • Operationalize Your Comms Plan: Develop a plan to communicate the role of agents, gather feedback, and support change management
To move from Lifting-Off to “Accelerating”, prioritize the following actions:
  • Formalize Your Best Practices: Document and standardize what’s working to ensure consistent, scalable success across teams and use cases
  • Standardize Agent Design Patterns: Create reusable templates and workflows for common agent behaviors and interaction types
  • Build Agent Testing and Review Frameworks: Define quality checks, test cases, and feedback mechanisms to improve agent reliability
  • Integrate Agent Governance into Dev Workflows: Add checkpoints into solution design, deployment, and maintenance for oversight and accountability
  • Accelerate Your Adoption: Intensify efforts to embed GenAI across your organization by expanding use cases, increasing user engagement, and removing adoption barriers
  • Expand Agent Coverage Across Journeys: Identify where agents can take on more end-to-end responsibilities in business-critical workflows
  • Equip Teams with Agent Prototyping Tools: Provide frameworks, sandboxes, and libraries that make agent creation easier for non-experts
  • Conduct Cross-Use Case Agent Audits: Review deployed agents for gaps, redundancies, and alignment with broader experience principles
  • Celebrate Your Wins: Publicly acknowledge team accomplishments to build and sustain adoption momentum
  • Spotlight Exemplary Agent Deployments: Showcase agents that demonstrate high value, adoption, or innovation
  • Share Before-and-After Agent Journeys: Help teams visualize the difference agents made in user outcomes or business metrics
  • Recognize Contributors to Agent Innovation: Highlight team members who helped design, test, or champion successful agents
The “Accelerating” stage represents “Target State” for many capabilities. “Breaking Away”, on the other hand, suggests that the specific Capability represents a clear competitive advantage for your business
  • Streamline & Embed: Integrate GenAI into core workflows while eliminating friction points to make usage seamless and routine
  • Embed Agent Frameworks in Core Platforms: Provide agent scaffolding directly within development environments and delivery pipelines
  • Provide Real-Time Agent Oversight Tools: Enable live visibility into agent behavior and intervention capabilities during runtime
  • Harmonize Agent Experiences Across Channels: Ensure agents follow consistent logic, tone, and structure in web, chat, and voice interfaces
  • Leverage Automation: Using GenAI-powered tools and workflows to streamline repetitive tasks, enhance operational efficiency, and reduce manual effort
  • Automate Agent Monitoring and Escalation: Use rules and AI to detect anomalies and route issues to humans when needed
  • Suggest Agent Behavior Adjustments Dynamically: Enable systems to recommend updates to prompts, context, or constraints based on usage data
  • Continuously Tune Agents Using Feedback Loops: Integrate performance data and user signals to improve agent accuracy and usefulness
  • Evolve & Further Accelerate: Continuously refining GenAI strategies based on insights and outcomes, while expanding into more complex or high-impact use cases
  • Expand into Multi-Agent Orchestration: Coordinate multiple agents across business units or products to solve complex challenges
  • Refactor Legacy Bots as Autonomous Agents: Replace static chatbot flows with adaptive agents that handle full task completion
  • Benchmark Agent Capabilities vs Industry Leaders: Evaluate how your agent ecosystem compares with competitors and innovators

Key "Watchouts"

As you take action you’ll want to avoid:

  • Overengineering agent complexity: Building for every edge case too early can delay impact and overwhelm users
  • Underinvesting in agent testing: Agents that misfire or fail to respond appropriately erode trust quickly
  • Skipping alignment with business goals: Agents should be mapped to tangible outcomes-not just technical experimentation
  • Failing to monitor live agent behavior: Without real-time observability, issues may go undetected or unresolved
  • Treating agents as static: Agent capabilities, roles, and prompts must evolve alongside your business and user needs

Targeted Benefits

While Designing and Developing Agents can be challenging, its benefits are clear and compelling, including:

  • Faster task automation: Agents handle routine actions with less human oversight
  • More intelligent decision support: Agents bring context and reasoning to complex tasks
  • Better user experiences: Agents provide timely, conversational assistance across channels
  • Increased solution extensibility: Agents allow teams to build once and deploy widely
  • Clear enterprise differentiation: A robust agent ecosystem signals maturity and innovation

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Eddie
Accelerated Innovation

Hi, I'm Eddie 👋

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