ARTIFICIAL INTELLIGENCE, DATA & ANALYTICS
BESPOKE DATA VISUALISATIONS
CUSTOM SOFTWARE DEVELOPMENT
CLOUD & OPERATIONS
EMBEDDED & ENGINEERING
IOT, CLOUD, DELIVERY & ENABLEMENT
AI AGENTS
Automate workflows & decisions with explainable AI
When AI pilots succeed, the next step is scaling them safely. Manual work slows progress and increases cost. AI Agents for business automation streamline decision-making and workflows under full control. They integrate with existing systems to deliver consistent, auditable, and efficient automation.
Where Automation Delivers Value
Slow approvals, disconnected data, and repetitive manual tasks reduce efficiency. AI Agents remove these barriers by automating key decisions and processes in a transparent and explainable manner. This saves time and cost while improving accuracy and compliance.
What YOU GAIN
Automated decisions and workflows across business functions.
Faster execution with fewer manual steps.
Built-in quality control and compliance.
Full visibility and auditability via governance dashboards.
Clear evidence of time and cost reduction.
THE AI AGENT REVOLUTION EBOOK
Forget everything you know about AI-powered chatbots.
The next evolution of AI isn’t just about responding—it’s autonomous, strategic, and designed to reshape the way your business operates.
Welcome to the age of AI Agents: intelligent digital entities that don’t just respond—they act, decide, and collaborate with both humans and other agents.
This isn’t about replacing people. It’s about scaling your business with automation that enhances your teams and drives faster, smarter outcomes.
How THE PILOT Works
So, What are AI Agents ANYWAYS?
AI Agents are autonomous systems that utilise artificial intelligence to complete tasks and achieve goals on behalf of users. Unlike traditional software, they adapt to context, learn from interactions, and make decisions based on reasoning, planning, and memory.
And what is the role of A Model Context Protocol (MCP)?
The Model Context Protocol (MCP) connects systems, data, and AI Agents within one secure environment. It serves as a central hub for transparent and structured communication. Integrating MCP early ensures data consistency, reduces manual work, and simplifies scaling.
MCP integrates smoothly with Microsoft Azure, Databricks, Power Platform, and API-based 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 create their own solutions. For example, MCP can combine transport, logistics, and accommodation data to deliver seamless customer experiences.
This setup provides full visibility, auditability, and control over automated decisions.
USE CASES
MANUFACTURING
AI Agents manage maintenance scheduling, order spare parts, and adjust production plans to minimise downtime.
Logistics
They coordinate shipments, update schedules automatically, and notify carriers or customers about delays.
Public Sector
AI Agents summarise documents, prepare reports, and route cases to the right departments, reducing manual workloads.
Retail
They monitor stock levels and place supplier orders in real time, reducing shortages and overstock costs.
ALSO IDEAL FOR…
✓ Organisations with established data and analytics foundations ready to automate.
✓ Operations teams slowed by manual approvals or fragmented systems.
✓ Businesses that need explainable, compliant AI aligned with governance standards.
✓ Companies aiming to increase efficiency and decision quality aligned with governance standards.
Next Steps
AI STRATEGY & ROADMAP
Define direction, priorities, and actions based on assessment results.
DATA & AI GOVERNANCE FRAMEWORK
Establish structure, control, and trust in the use of data and AI.
Book now
Contact us today to start an AI Agents pilot now and accelerate your automation delivery.