Customised AI Agent
Builder
Let teams design, configure, and deploy bespoke AI agents tailored to their processes, tools, and knowledge—no code required.
Empower your business users and IT to build purpose-built AI agents with a visual builder: define goals, connect tools, design conversations, and launch in days.
What is the Customised AI Agent Builder?
The Customised AI Agent Builder is a no-code, visual platform that lets your teams create AI agents for specific use cases—from sales copilots and IT helpdesk bots to procurement coordinators and HR assistants. Each agent can be configured with its own goals, connected tools, knowledge sources, and conversation flows.
Agents are built using the same enterprise-grade ZioBot stack: they integrate with your existing systems via APIs and MCP, respect your security and compliance policies, and can be monitored and improved over time. You stay in control while empowering more people to ship AI that fits their workflows.
Whether you need a single departmental agent or a portfolio of agents across the organization, the builder provides templates, drag-and-drop flows, and guided wizards so you can go from idea to production without waiting on engineering backlogs.
Visual agent design
Define persona, goals, and conversation flows with a drag-and-drop builder—no coding required.
Connect tools & knowledge
Attach data sources, APIs, and MCP tools so your agent can act on real systems and information.
Deploy and iterate
Launch to channels (chat, Slack, Teams, etc.) and refine behaviour based on usage and feedback.
Challenges of Building AI Agents at Scale
Organizations often struggle to deliver tailored AI solutions quickly while keeping governance, security, and consistency under control.
Long development cycles
Custom agents typically require engineering effort, leading to backlogs and slow time-to-value for business teams.
Scattered tools and knowledge
Agents need access to many systems and data sources; wiring them manually is complex and brittle.
Governance and safety
Ensuring agents stay within policy, don't leak data, and are auditable is critical but often an afterthought.
Limited business ownership
When only IT can build agents, business users can't iterate quickly on prompts, flows, and integrations.
How the Customised AI Agent Builder Addresses These Challenges
The builder puts agent design in the hands of business and IT alike, with guardrails and integrations built in from the start.
No-code visual builder
Design agents with wizards and drag-and-drop flows so teams can ship in days instead of months.
Key Benefit:
Faster delivery and fewer dependencies on central engineering
Pre-built connectors and MCP
Connect to CRM, HR, ITAM, knowledge bases, and more via templates and the Model Context Protocol.
Key Benefit:
Unified access to tools and data without custom code
Enterprise guardrails
Apply security, compliance, and approval policies at the platform level so every agent is governed by default.
Key Benefit:
Consistent safety and auditability across all agents
Self-service iteration
Business owners can tune prompts, add steps, and connect new sources without opening tickets.
Key Benefit:
Continuous improvement and higher adoption
Measurable Impact of Custom AI Agents
Teams that adopt the Customised AI Agent Builder see faster delivery of AI use cases, higher satisfaction, and better alignment between business needs and deployed agents.
No-code builder and templates cut the path from idea to production.
Purpose-built agents handle routine inquiries and workflows with high accuracy.
Reusable connectors and governance reduce build and maintenance costs.
Agents run around the clock across channels without scaling headcount.
Processing Time Reduction
Comparison of manual vs. automated workflow processing times
Result: 90% reduction in processing time, enabling faster decision-making and improved customer satisfaction.
Cost Savings Over Time
Monthly cost reduction trend after implementing AI automation
Result: 70% cost reduction achieved within 12 months through automation and optimization.
Error Reduction by Category
Before and after comparison of error rates across different process categories
Result: Average 95% reduction in errors across all process categories.
Productivity Improvement by Department
Percentage improvement in productivity metrics across different departments
Result: Average 86% productivity improvement across all departments.
Custom AI Agent Use Cases
Explore how teams design and deploy purpose-built AI agents across their business using the Customised AI Agent Builder.
Sales Enablement Copilot
Create an AI agent that guides sales reps with next-best actions, proposal generation, and CRM updates in real time.
IT Helpdesk AI Agent
Design an agent that handles password resets, access requests, and troubleshooting with integrated workflows.
Procurement AI Coordinator
Orchestrate approvals, PO creation, and vendor communication through a single conversational interface.
Customer KYC Agent
Build an onboarding agent that collects documents, validates identity, and syncs data with core systems.
Finance Ops Co-pilot
Configure an agent that supports month-end close, reconciliations, and variance analysis.
HR Digital Assistant
Let employees self-serve policies, leave, benefits, and case creation via a personalized AI agent.
Ready to Get Started?
Our team will help you identify automation opportunities and implement RPA solutions tailored to your business needs. Start your free trial or schedule a demo.