How Xlagent Works With Clients: Discovery, Implementation and Partnership

Xlagent does not hand you a login and a help document. Every implementation starts with our team sitting with yours, understanding your workflows, and building something that actually works on your data.

Key takeaways:

• We map your workflows before writing a single line of configuration
• We build the data layer your documents need as part of implementation, not before it
• The pilot runs on live workflows with real data, not a demo environment
• We stay involved after go-live and review progress with you every quarter

What happens before any configuration starts

Before we configure anything, we sit with your team. That means the COO or CFO and the people doing the work today: the analysts and operations staff who know where the manual steps are slow and where errors happen.

We do not arrive with a fixed list of use cases. We listen first. The output is a shortlist of two or three workflows that are high-volume, rule-based, and ready to automate.

This step is where most implementations either get the right foundation or fail. Solving the wrong problem is worse than solving nothing.

How we document your current processes

Once we have identified the right workflows, we map how they actually run: who does what, with which documents, in what order, and which steps have never been written down.

This produces a written process map for each workflow, agreed with your team before we build anything. It also surfaces blockers that would otherwise only appear after deployment: inconsistent document formats, data buried in email threads, approval steps that rely on individual judgment rather than a defined rule.

If this step reveals that a workflow is more complex than expected, we say so and adjust scope. You will not find out three months in.

How we map and structure your document data

Most firms already have the documents they need. They are in SharePoint, shared drives, email attachments, and legacy systems. The problem is that they are not in a form that AI can use reliably.

We audit your document landscape: what exists, where it lives, what format it is in, and what is missing. For most firms, this is the first time anyone has documented this in full.

We build the structured data layer as part of the implementation. You do not need to clean up your data before we can start.

How Xlagent connects to your existing tools

We work inside your existing infrastructure. We connect to Microsoft 365, SharePoint, and your document repositories. If you already use Copilot, ChatGPT, or Claude, we integrate with those too. Xlagent handles the document workflows those tools cannot process reliably on their own.

There is no rip and replace. Your team keeps working in the applications they know. Technical integration is handled by us, not your IT team.

All data is hosted in Azure within our own EU tenant. Nothing moves outside a controlled environment.

What the pilot looks like

The first deployment is a paid pilot, not a proof of concept. We run it on a live workflow with real data.

Before we start, we define what success looks like: accuracy targets, processing speed, and how exceptions are flagged and escalated. At the end of the pilot, you have a working implementation with measurable results, not a demo you cannot evaluate.

The pilot is scoped to one or two workflows and is designed to be production-ready from day one.

How we onboard your team and stay involved after go-live

We train the people who use the platform, not just the person who signed the contract. That means the analysts and operations staff who currently do the manual work.

Training is specific to your workflows. We show exactly how daily tasks now connect to Xlagent outputs. We stay available after go-live. If something unexpected appears, such as a new document format or an edge case the model has not encountered, we handle it. That responsibility does not transfer to your team.

What the ongoing relationship looks like

We review progress with you every quarter: what is working, what the next workflow is, and how changes in your portfolio affect what we automate.

As your portfolio grows, new processes become automatable. We identify those proactively. You should not have to come back to us and ask.

The relationship is structured to grow with your operational complexity, not to renew a fixed subscription that covers the same scope it did on day one.