26
Multi-Agent System for HR, Engineering & QA
Internal operationsIn build- The problem
- HR answers the same employee questions across time zones. Developers struggle to navigate large codebases and hold consistency. QA runs long manual regression cycles with incomplete coverage. The three functions look unrelated and have the same shape of problem underneath.
- What it does
- Three coordinated agents: an HR assistant resolving employee queries, a development assistant for codebase navigation and consistency, and a QA assistant that compresses regression cycles and extends coverage.
- What changes
- HR workload drops sharply and query resolution becomes immediate. Development velocity rises. QA cycles shorten by weeks while coverage widens, which shows up later as fewer production bugs.
27
Enterprise AI Workspace
Enterprise enablementIn build- The problem
- Teams use external AI tools with no governance, no shared workflows and no way to scale anything they build. Output is inconsistent, sensitive material goes places nobody approved, and none of it compounds.
- What it does
- A secure multi-model platform that centralises AI usage and lets teams build, share and scale agents across internal work and client engagements.
- What changes
- Shadow AI consolidates into one governed environment. Work built by one team becomes available to the next instead of being rebuilt.
- Marxen note
- Deployed inside your infrastructure. This is usually the first thing a CISO asks about and the reason most workspace tools do not get past review.
28
Invoice & Billing Automation Agent
FinanceIn build- The problem
- Billing analysts validate data across multiple systems and documents before an invoice can be raised. Long cycle times, heavy manual effort, and an audit trail assembled after the fact.
- What it does
- Validates data across systems and prepares invoices automatically, reducing manual touches per case to near zero and recording the validation as it goes.
- What changes
- Cycle time falls, manual touches per case drop from several to almost none, and audit readiness becomes a property of the process rather than a project.
29
Procurement Operating System
ProcurementIn build- The problem
- Supplier onboarding, sourcing, contract management and operations each require manual coordination across systems and teams. Slow cycles and no visibility across the supplier-to-payment lifecycle.
- What it does
- An end-to-end procurement system spanning supplier discovery, compliance monitoring, negotiation assistance and workflow automation across the full lifecycle.
- What changes
- Supplier onboarding and sourcing cycles shorten materially, supplier discovery widens beyond the incumbents, and the lifecycle becomes visible in one place.
30
Resource Allocation & Optimisation
Workforce managementIn build- The problem
- Resource planning is manual with no real-time view of skills, availability and workload. The result is predictable. Some people are overloaded, some are underused, and projects slip for staffing reasons rather than technical ones.
- What it does
- Optimises allocation with live visibility into skills, availability and workload, supporting faster and more accurate staffing decisions.
- What changes
- Manual planning effort falls sharply and utilisation evens out across the bench.
