Agentic Engineering
AI engineering as top-tier decision in a business.
We all use AI now, but the critical decisions comes from management and the BoD, which often lacks clear goals in the business
Agentic Engineering –
in plain words
We all heard about vibecoding. Agentic engineering is the next level and includes a multitude of considerations. A chatbot answers questions. An agent gets a task done: it looks up orders, checks rules, drafts the replies – and asks a person for confirmations.
Agents is best suited to automate repetitive tasks that are rule-heavy work between systems. The tedious tasks that people solve with manually today.
Where agents earn their keep
01
Business processes
Implementing agents in daily operations and business logics and processes can certainly be beneficial. At WURK we consult with management to collaborate on business objectives. Starting with thorough analysis and reporting to finally implementing and optimizing desired business logics and routines for automation.
We do respect people and follow the implementation through in-depth testing and user feedback, before signing off on the projects.
e.g. order handling, invoice matching, case triage
02
Integrations
Agents that read, check and move data between D365, M365 and the tools you already use.
Again, repetve or data heavy tasks can be automated. Structure migrations and masterials, master data, sync customers between systems and ensure data consistencies in the organization.
These are just a few useful cases, where any business can achieve huge savings and data security.
e.g. master data checks, document intake
03
Copilots
Develop assistants online towards customer facing services, embed voice AI-driven customer service in Teams to automate service and consolidate manual minutes on the phone.
Analyze documents, organize server storage, monitor processes running in daily operations or create automated reports and managerial tools for instant overview of the business' state.
e.g. policy Q&A, onboarding help
How WURK works
01
Analyse benefits
Initial analysis in collaboration with management, outlining an AI report with goals and targets.
Map the candidate processes and estimate hours saved, cost and risk. Start with the one that has the clearest business case.
02
Prototype
A dry-run agent built on real, anonymised data from the chosen process.
Run it side by side with today’s way of working, quality-assure the results and measure them against the targets from the analysis – before anything touches live systems.
03
Run & improve
Go live on one process with access, approvals, logging and fallbacks in place.
Follow the agent closely in the first weeks, handle the edge cases, tune prompts and rules – and extend to the next process when the results hold up against the targets.
04
Monitor & train
Follow quality, costs and deviations from a simple dashboard with alarms, that triggers abbreviations in behaviour.
Surveillance and end-user training in the transitional usage to new tools for additional optimizations in the company.
Guardrails first
An agent is only useful if you can trust it. These are agreed before anything goes live.
Access
Least privilege through Entra ID – the agent sees only what it needs.
Approval
A person approves anything that can’t be undone.
Logging
Every action is logged and can be audited.
Data
Data stays in your tenant wherever possible.
Ownership
Every agent has a named owner and an off switch.
Compliance
GDPR and the EU AI Act considered from the start.
Heavy processes that dains
your time weekly?
Bring one example. We’ll look at whether an agent is the right answer – sometimes it isn’t.