Smart Ai in your organisation

Agentic AI: Automation That Thinks.

Move beyond simple tools. We build and govern AI systems that execute complex, multi-step tasks across your business—safely, reliably, and with guaranteed human oversight.
Get in touch
Introducing Self-Directed Systems

Agentic AI smart systems that we build can plan, execute, and monitor their own multi-step workflows and tasks to achieve a goal.

End-to-End Task Completion
We build agents that don't just answer questions, they complete the entire operational workflow.

Simple automation handles one task (e.g., responding to an email). Agentic AI handles the whole sequence—analysing the email, pulling data from the CRM, checking stock, and informing the relevant manager. This significantly frees up staff time for higher-value activities.

Reliable & Governed Action
Systems are built with human supervision and clear audit trails to prevent errors and drift.

We ensure that the autonomous actions of these agents are rigorously monitored. Controls like Model Risk Management (MRM) are implemented to prevent the system's performance from degrading and to provide full explainability for every complex decision it makes.

Integration with Your Systems
We specialise in getting these advanced agents to communicate with your existing, essential software.

The biggest barrier to Agentic AI is integration. We use proven middleware and data orchestration techniques to ensure these smart systems can reliably read data from your legacy ERPs and write changes back, making autonomy possible and safe in your environment.

Agentic AI

The Agentic AI Implementation Model.

Strategy, governance, and hands-on build for autonomous systems.

Our service ensures that your Agentic AI is deployed responsibly and scalably. We move from strategic planning (defining the agent's P&L goals) through technical build, integration, and final training to ensure your team is confident and protected.

  • Goal Definition: Tying the agent's actions directly to financial outcomes (e.g., cost reduction).
  • Human Oversight Layer: Implementing clear approval and intervention points for critical decisions.
  • Advanced Integration: Connecting the agent to multiple fragmented systems, so it has access where needed.
  • Continuous Performance Monitoring: Tracking accuracy and preventing Model Drift after launch.
Security and Trust

We establish the security protocols and access controls needed to manage autonomous systems, protecting your sensitive data from unauthorised actions and ensuring governance standards are met.

Evolution of Your Workforce

We can include training modules to ensure your teams understand how to supervise and partner with these agents, transforming roles rather than eliminating them overnight.

The Difference Between a Bot and an Agent.

Moving Beyond Simple Chatbots

Most businesses are familiar with simple chatbots that respond to a single query.

An Agentic AI system is fundamentally different: it can perform a chain of reasoning, plan its next steps, access external databases, and adjust its plan based on external feedback.

We design these agents to handle complex, multi-day processes that require decision-making beyond basic logic.

Built for Reliability

Trust is the most valuable asset in Agentic AI. We achieve this not by avoiding advanced systems, but by controlling them.

Our governance approach builds in robust Audit Trails and Explainability features, meaning every complex action the agent takes is traceable back to its source data.

This transparency allows your teams to immediately verify decisions, ensuring sustained accuracy, trust, and continuous compliance.

Use cases

Where Agentic AI Can Deliver Maximum Value

If you are not sure how Agentic AI can help you, then these quite simple examples demonstrate how they, when deployed with proper governance, can solve complex business pain points by autonomously executing multi-step operations.

Autonomous Financial Reporting

Imagine an Agentic AI system that autonomously gathers data from four separate accounting and ERP systems, performs compliance checks against a fixed regulatory standard, and generates the final weekly executive summary report for the CFO. The time save is significant or might make it possible where it was not before.

Managing Complex Supply Chain Enquiries

An agent is tasked with managing a major supply chain disruption. It autonomously identifies affected orders, calculates revised delivery timelines based on external factors, updates the CRM with new dates, and either drafts for human approval or sends personalized communications to affected customers.

Research and Competitive Benchmarking

As an ongoing task we actually use this ourselves. Tasking an agent with continuous competitive analysis. It autonomously searches industry news and competitor sites, extracts key strategic data points (e.g., new product features), and creates a bi-weekly threat report for our team.

Automated New Employee Onboarding

HR has long being a great place for automation and onboarding is a great use case. So for example an Agentic system can manage the full onboarding process. It generates required HR forms, verifies credentials in the database, orders necessary IT equipment, and schedules initial training modules, freeing up both HR and IT staff time.

Check out our podcasts

We have regular podcasts in and around our areas of expertise, with a variety of subjects from self service approaches technology, chatbots, voice bots, automation and development.

Our podcast
Ready to get started?

Chatbots are used to provide immediate response to inbound enquiries. We build your chatbot for you so it works from day one and deploy it across all your popular channels.

Get in touch
© 2025 Disruption Works Ltd - Reg: 10761509. All rights reserved.