DESIGN & COMMUNICATION
TECH & DEVELOPMENT
BUSINESS OPERATIONS
STRATEGY, TALENT & MANAGEMENT
ENGINEERING
AI AGENTS
Automate decisions & workflows safely with trusted AI
When AI pilots are effective, the next challenge is scaling them up. Manual processes slow down business and increase costs. AI Agents automate decisions and actions under complete control. They work within existing systems. They make fast, accurate, and explainable decisions without adding operational risk.
Where Automation Adds Value
Manual tasks, disconnected systems, and slow approvals reduce productivity. AI Agents automate these steps safely and transparently. They save time, reduce costs, and enable teams to focus on higher-value work. By connecting data and actions, they also enable smarter decisions based on the full view of your customer and operations.
What Is Achieved
Decisions and workflows are automated across departments.
Faster operations and fewer manual steps are achieved.
Consistent quality and compliance are built into the process.
Visibility and control are gained through governance dashboards.
Clear time and cost savings are measured.
THE AI AGENT REVOLUTION EBOOK
Forget everything you know about AI-powered chatbots.
Welcome to the era of AI Agents—smart digital entities that don’t just answer questions but take action, make decisions, and even collaborate with other agents and people as part of your team.
How THE PILOT Works
Automation is designed, implemented, and monitored safely across the business.
So, What are AI Agents ANYWAYS?
AI Agents are autonomous software systems that use AI to achieve goals and perform tasks for users. Unlike rigid software, they are dynamic and adaptive, exhibiting reasoning, planning, memory, and a degree of autonomy that enables them to make decisions.
And what is the role of A Model Context Protocol (MCP)?
The Model Context Protocol (MCP) connects systems, data, and AI Agents in one secure environment. It serves as a central hub where all information is communicated in a controlled and transparent manner. Integrating the MCP early ensures data consistency, reduces manual work, and simplifies scaling.
The MCP integrates easily with Microsoft Azure, Databricks, Power Platform, and API-based business applications. It supports both commercial and open-source language models, keeping automation flexible, secure, and future-ready.
Partners and customers can also connect through secure APIs to build their own solutions. For example, the MCP can combine transport, logistics, and accommodation data to create seamless customer experiences.
The setup ensures full visibility, auditability, and control of automated decisions.
USE CASES
MANUFACTURING
Deploy AI Agents that automatically schedule maintenance, order replacement parts, and adjust production plans to minimise downtime.
Logistics
Use AI Agents to coordinate shipments, communicate with carriers, and trigger updates across systems when delays or changes occur.
Public Sector
Introduce AI Agents that assist case workers by summarising documents, preparing reports, and routing requests to the right departments, cutting manual workload.
Retail
Implement AI Agents that manage inventory restocking and supplier orders in real time, reducing out-of-stock events and overstock costs.
ALSO IDEAL FOR…
✓ Businesses that already use data and analytics but want to scale automation.
✓ Operations teams burdened by manual approvals, repetitive tasks, or disconnected systems.
✓ Companies seeking explainable, compliant automation aligned with governance standards.
✓ Manufacturing, logistics, retail, and public sector organisations aiming to improve efficiency and decision accuracy.
Next Steps
DATA & AI GOVERNANCE
Establish structure, control, and trust in the use of data and AI.
Learn More HereBook now
Contact us today to start an AI Agents pilot now and accelerate your automation delivery.