AI Foundation

Free your AI investment from stalling on bad data. Xiatech’s Xfuze Platform is the integration and data foundation that lets AI, from analytics to fully autonomous agents, run safely and scale across your business.

Overview

From advisor to operator, how agentic AI changes what AI can do

Most AI today still needs a person in the loop. It can analyse data, flag an issue, or suggest a next step, but someone has to read the output, make the call, and act on it in another system. That’s slow, it doesn’t scale, and it caps the value of AI at how many people you have free to act on it.

Xiatech’s Xfuze Platform turns AI from an advisor into an operator. Agents built on Xfuze can see across your connected systems and data, decide what needs to happen next, and carry it out end to end, without waiting on a human to push the button. CHIP AI, the assistant built into Xfuze, is a working example, ask it a question and it doesn’t just fetch an answer, it can go and take the next action on your behalf.

Because Xfuze already connects and unifies your systems and data, agents aren’t working from a narrow slice of information. They’re working from the same single, trusted view your teams use, so decisions are grounded in what’s actually happening in the business right now, not stale or partial data.

This isn’t theoretical. Xiatech’s Sales Performance Monitoring and Automatic Replenishment Agent, built on Xfuze, continuously monitors sales, stock and demand, spots risk early, and manages replenishment and e-commerce updates on its own, before issues hit customer experience or revenue. It’s been named a finalist for Agentic AI Solution of the Year at the 2026 British Data Awards.

Key benefits

Free people from repetitive decisions and manual follow up
Cut the time between an event happening and action being taken
Scale decision making without scaling headcount
Reduce errors that come from manual handoffs between systems
Keep every action grounded in one trusted, connected view of the business

Key features

Real-time Monitoring

events tracked across systems, with agents deciding when action is needed, as seen in the Sales Performance Monitoring and Automatic Replenishment Agent, a 2026 British Data Awards finalist for Agentic AI Solution of the Year

Insights & Analytics
Multi-source Decisions

Pulling from every connected system, not just one, so an agent deciding on stock or price is working from sales, inventory and demand data together, not a single narrow feed

System Integration
Direct action Triggers

Updating systems or resolving issues without manual handoff, so the agent completes the task itself rather than just flagging it for someone else to finish

Data Integration
Rules based Escalation

Agents hand off to a person only when they should, based on limits you define, so routine decisions get made automatically and higher risk ones still reach a human.

Data Management
Built in Guardrails

Monitoring and limits keep autonomous action within bounds you set, giving visibility into what an agent has done and stopping it acting outside agreed rules

AI / Machine Learning
Open, Industry standard Connections

Agents work across systems and, where relevant, across organisations, using open standards like MCP, Google’s A2A and ACP rather than one off custom integrations for every connection

Hyper Integration
Big data / data lake

Organisations are collecting more data than ever before. What they don’t have is the effective means of making sense and analysing the insight from hundreds of disconnected sources. Xiatech’s experts in AI and analytics leverage the company’s Hyper-Integration Platform to turn data into business value, and quickly.

Big data / data lake