Agent Builder
Design, Orchestrate, and Scale AI Agents Without Limits
Why Agent Builder Exists
Create your own agents, like Drew & Elise
Drew Jennings
Customer Insights Agent
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26
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Calmly technical, customer-first
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Drew brings a tailored knowledge pack to life with live, voice-activated Q&A. He makes complex topics simple, keeps sessions lively, and guides people to the right next step.
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A clear-eyed host with an analyst’s toolkit, Drew turns uploaded documents into straightforward, human answers. He keeps jargon light, uses only verified content, and surfaces practical wins and risks. When a question is out of scope, he says so and points you to the right person. Every interaction feels warm, helpful and on brand.
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Can turn a messy requirements doc into a three-step plan before the coffee cools
Elise Moore
Customer Insights Agent
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26
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Playfully insightful, customer-first
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A natural host strategist’s brain, Elise turns uploaded documents into clear, human answers. She keeps jargon light, highlights practical wins, and stays within the approved knowledge set. If a question is out of scope, she says so and connects you to the right person. Every interaction feels warm, helpful and on brand.
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A clear-eyed host with an analyst’s toolkit, Drew turns uploaded documents into straightforward, human answers. He keeps jargon light, uses only verified content, and surfaces practical wins and risks. When a question is out of scope, he says so and points you to the right person. Every interaction feels warm, helpful and on brand.
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Can summarise a dense deck in three punchy points before the kettle boils.
What is the Agent Builder?
The Agent Builder is the hands-on creation tool for your AI ecosystem. It allows teams — from business analysts to AI engineers — to:
✔ Design custom agents visually or via configuration.
✔ Orchestrate multi-step, multi-agent workflows.
✔ Integrate with up to 2,000 large language models and countless external tools.
✔ Control every parameter, from system prompts to temperature settings.
✔ Build agents that can create other agents — accelerating scale exponentially.
Core Benefits of the Agent Builder
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No more starting from scratch for every project.
Drag-and-drop workflow design with instant preview.
Reuse agents, prompts, and configurations across multiple solutions.
Deploy directly into the Agentic Mesh for enterprise-grade governance.
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Designed to be intuitive for non-developers, but powerful enough for expert engineers:
Business teams can model workflows and define prompts without writing code.
Developers can extend capabilities with custom scripts, tools, and APIs.
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Build:
Chat-based agents for customer service, sales, and internal support.
Voice-based agents with phone integration (PSTN/SIP) or general voice channels.
Invisible agents that work entirely in the background to automate processes.
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Every node in a workflow can be customised:
• Choose the model (OpenAI, Azure, Google, open-source, or proprietary).
Adjust temperature, token limits, and stop sequences.
Attach specific system prompts to guide behaviour.
Configure triggers: API calls, webhooks, events, schedules, or file drops.
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Use meta-agents that can create new agents automatically:
Clone existing agents with modifications.
Build new agents from templates in minutes.
Scale AI capacity without proportionally increasing human effort.
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As enterprise software moves toward agent-native design, the Agentic Mesh is already there:
Ready to integrate with next-gen platforms like Microsoft Dynamics, Salesforce, and SAP as they add multi-agent capabilities.
Modular enough to absorb new AI advances without tearing down your stack.
How Agent Builder Fits Into the Agentic Mesh
While the Agentic Mesh is the secure, governed environment for running agents, the Agent Builder is the creative and engineering workbench for designing them.
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Build or edit an agent in Agent Builder.
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Validate and test within a controlled sandbox.
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Deploy directly into the Agentic Mesh, inheriting all governance policies and observability.
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Monitor, evaluate, and improve continuously.
Key Features
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Graph-based canvas for orchestrating steps.
Support for conditional logic, branching, loops, and parallel execution.
Visual representation of data flow between agents.
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Library of 2,000+ language models.
Model-agnostic selection at the workflow or step level.
Automatic failover and A/B testing support.
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Event-based: message received, file uploaded, API event.
Time-based: scheduled jobs.
Manual: user-initiated runs.
External integrations via webhook or API call.
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Role-based access control for editing or deploying agents.
Approval workflows for production deployment.
Version control for agents, prompts, and configurations.
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Built-in evaluation harness for accuracy, compliance, and performance.
Sandbox environment for safe experimentation.
Regression testing against “golden” datasets.
Example Use Cases
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Customer Support Automation
✔ Build a triage agent that routes tickets to the right department.
✔ Attach a knowledge base agent to instantly answer FAQs.
✔ Add a compliance guard agent to ensure responses meet policy.
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Sales Enablement
✔ Create an outbound prospecting agent that drafts personalised emails.
✔ Use a scheduling agent to book meetings automatically.
✔ Monitor success rates and refine prompts.
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Document Processing
✔ Automate contract review with extraction, compliance check, and summarisation steps.
✔ Notify legal teams only for edge cases.
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IT Operations
✔ Build an alert-response workflow that triages incidents, runs diagnostics, and escalates when needed.
Advantages Over Traditional Development
Governance Integration
When you deploy an agent from Agent Builder into the Mesh:
It inherits all Mesh governance policies.
It is automatically added to the agent/workflow catalogue.
Every action is observable and traceable.
Access to data and systems is restricted by least privilege.
Share workflows across teams for reuse.
Assign different roles: Viewer, Editor, Owner.
Build shared libraries of prompts, models, and tools.
Collaboration & Sharing
Implementation Steps
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Connect Your Data Sources
Use DataFusion secure ingestion to onboard your data safely.
Apply logical modelling to prepare data for agent use.
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Design Your Agent
Use visual workflow designer or advanced configuration.
Choose models, prompts, and triggers.
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Test in Sandbox
Validate outputs against evaluation criteria.
Adjust workflow and prompts as needed.
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Deploy to Mesh
Approve deployment through governance workflow.
Monitor performance and cost metrics.
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Iterate & Improve
Apply feedback loops and automated evaluations.
Clone or extend agents for new use cases.
Who Uses Agent Builder?
✔ Enterprise AI Teams — to accelerate delivery of production-grade agents.
✔ Business Units — to build domain-specific automation with IT oversight.
✔ Consultancies — to rapidly create tailored AI solutions for clients.
✔ Innovation Labs — to experiment quickly without sacrificing governance.
Results Our Clients See
✔ 5–10x faster agent creation compared to traditional dev.
✔ 70% reuse rate for agents across departments.
✔ Fewer compliance breaches due to embedded guardrails.
✔ Rapid scaling from single pilot to enterprise-wide deployment.
Why Choose Agent Builder?
Because it combines:
The speed and flexibility of low-code AI design.
The depth and control needed for complex enterprise environments.
Seamless integration into the Agentic Mesh for governance, observability, and scalability.
When you use Agent Builder, you’re not just building agents — you’re building enterprise-ready AI assets that can grow, adapt, and evolve with your business.