The next wave of digital transformation
Introducing Everyday Agents, AI “workers” designed to transform how your business operates and delivers value to customers.
The rise of Agentic AI marks a strategic inflection point, moving beyond simple workflow automation to autonomous agents and dynamic, problem-solving systems.
How Agentic AI is enabling Everyday Agents
Agentic AI empowers systems with the capability for:
Autonomous planning & reasoning
Moving from human-led tasks to goal-oriented agents that can understand an objective, create a plan, and reason through it.
Adaptive task execution
Dynamically solving problems and acting on solutions, not just suggesting them. Agents can self-correct and adapt to new information in real-time.
Contextual decision-making
Using a deep contextual understanding of your enterprise data to scale insights and automate decision making across the organisation.
Complex workflow orchestration
Integrating with your enterprise ecosystem (ERPs, CRMs, applications, data platforms) to automate complex, multi-step processes end-to-end.
Reimagine how you operate and compete
Agentic AI presents new and unique opportunities to customer journeys and enhances experiences, driving significant enterprise-wide impact.
Move faster
Excite customers
Deliver more value
Increase market impact
Drive competitive advantage
Example use cases for Everyday Agents:
Marketing & Sales
Lead Qualification Agents process ‘Contact Us’ forms, qualify leads against criteria, and assign them correctly.
People & HR
Day One Agents read ‘new hire’ alerts and create necessary M365 accounts and IT tickets for setup.
Customer Support
Listens to a live support call, instantly surfaces the customer’s full order history, and suggests the next best action to the human agent.
Finance
Investment Analyst Agents monitor market data and deliver concise morning briefings.
IT & Technology
Approval Workflow Agents and Tech Issue Resolvers autonomously diagnose issues, push updates, and close tickets.
Legal & Procurement
Receives a procurement request, checks if the value is under the pre-approved limit, and automatically routes it for a digital signature.
How we ensure your success: Our four key areas of support
While Agentic AI brings new challenges, Mantel has deep experience in navigating them to ensure successful adoption and scale. We support you with Everyday Agents across four key areas:
Frequently asked questions
What are Everyday Agents?
Everyday Agents are your AI workforce, for a strategic layer of AI Agents embedded throughout the enterprise. Unlike standard chatbots, these agents are designed to reason, plan, and take action directly within your business processes.
By integrating with your enterprise ecosystem and data, they act as digital workers that:
- Automate entire processes, not just one-off tasks.
- Handle complex workflows end-to-end
- Empower your teams by handling the routine, freeing your human talent for high-value work.
What is the difference between a GenAI chatbot and an "Everyday Agent"?
While chatbots primarily summarise or generate content, Everyday Agents are AI systems that can reason, plan and execute tasks on your behalf. They move beyond “human-led tasks” to “goal-oriented actions” integrating with your existing enterprise ecosystem.
How do we decide between "Buying" an off-the-shelf platform or "Building" a custom agent?
Our Everyday Agent Blueprint helps you navigate this “build vs. buy” decision. We typically recommend Buy & Configure options for immediate productivity gains in functions like HR or Finance, while advocating for a Build approach for more complex and technically nuanced use cases.
What business functions see the most immediate impact from AI Agents?
There are opportunities for Everyday Agents across all business functions. We typically see rapid value realisation in business functions where there is a high volume of tasks that are ripe for automation and where data can easily be leveraged.
How does Mantel ensure that autonomous agents are governed and secure?
Governance is critical for the adoption of Everyday Agents. Our Governance Agents & Architecture pillar focuses on uplifting enterprises’ AI governance to enable the adoption of Everyday Agents across the enterprise. We help define the operating model, guardrails, controls, and best practices to ensure agents operate within secure, compliant, and risk-based foundations and are used responsibly.
How long does it take to see a return on investment (ROI) from Everyday Agents?
Our approach is designed to identify the highest value agentic use cases, focusing on time to value and driving maximum operational efficiency. We can take a business function or enterprise-wide view to define your strategic direction for Everyday Agents.
Mantel AI Insights
Understand the next step in AI autonomy, Agentic AI.
Join our agentic AI experts as they unpack the evolution of AI thinking, what agents mean for you, some risks and considerations, and how to prepare your organisation for the next generation of AI assistants.
“Our experience with enterprise-grade AI, ML and agentic AI to date has taught us that success is built on a trio of time-worn principles: purpose-built framework selection, a dedication to production-ready design through continuous evaluation, and the foundational requirement of governance and responsible AI to ensure trust and mitigate risk at scale.”
Emma Bromet
Partner, Data
Almost a decade of designing and building real-world AI solutions
Know-how like no one else. That’s the power of partnering with Australia and New Zealand’s leading AI experts.
Why Mantel are the right AI partner for you
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Building AI solutions has been part of Mantel’s DNA since day one
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You’ll gain a partner who understands both the opportunity and the risks associated with adopting AI
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We have depth in AI execution and an understanding of how to make AI work in production
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Access to industry-leading, highly specialised engineering talent
AI is the fastest moving technology in history
A Mantel Group-Australian Financial Review survey of 6,000 Australians shows more than half of respondents have used AI in some way. Drill down into what they’re using it for and about 70% are leveraging Generative AI, putting the adoption rate of this nascent technology at a faster clip than smartphones.
It presents a golden opportunity for businesses who understand AI and prioritise it. But it also poses challenges related to governance and risk management.
In addition to becoming embedded in everyday life, AI appears to be largely immune to the general belt-tightening among enterprises and consumers battling cost-of-living pressures, the survey shows.
75%
Of CEO’s say Gen AI will provide competitive advantage
$22tn
Estimated value add to the global economy by 2030
500%
Required AI workforce growth to meet demand by 2030
67%
Of people distrust AI. Trust is low, yet adoption is high
* Source: AFR Survey 2025
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