Knowledgeagent
AI agent or traditional workflow automation: which fits your process?
Compare fixed workflows and AI agents using one customer order. Discover which work you can delegate and how to test the approach that fits your business.
You want to handle a recurring customer order more quickly. Information should arrive, be matched correctly and reach the responsible person as a usable case. Whether an AI agent or a traditional workflow performs that work is initially a secondary question. Your business benefits from the work actually completed and from the next step being able to follow reliably.
Choosing becomes easier when you examine the same case in different everyday situations. A complete order with clear information has different requirements from a message saying “the same as last time, but a little more”. Although both messages serve the same business purpose, preparing them may involve different work.
This article compares the approaches using a fictional recurring customer order. The examples describe possible work requirements. They do not claim that a particular ordering process, external application or integration has already been configured in your account. By the end, you can describe your own process more clearly and prepare a focused first use of webRichtung Agent.
Define what should actually be completed
Begin with the result your team wants to use next. In the example, a business customer regularly orders consumables from a supplier. The office needs a prepared case containing the correct customer, requested material, quantity, delivery location and any points still to clarify. A binding price or delivery commitment belongs in the result only where there is a clear basis and authority for it.
This outcome creates a shared standard. A process that merely files the message has not yet prepared the order fully. A convincing piece of writing without the correct customer association is not enough either. The responsible person must be able to recognise what is being ordered and which details are established or still unresolved.
Separate preparation from other work in the business too. Picking the goods, checking special terms or planning dispatch can be separate steps. Your first comparison does not need to represent the whole organisation. Choose a frequent part of the process whose usable endpoint you can clearly recognise. That makes the subsequent decision much more concrete.
Explore the Agent module to see how assignments and recurring automations can support your work.
Identify where fixed information already makes the work clear
In the first example, the customer uses a prepared order form. Customer association, item reference, quantity and delivery address are specified clearly. For the standard case being examined, it is also clear where the fully prepared order should go next within the business. The recurring work mainly consists of checking and transferring existing information according to the same rules.
A fixed process can be described clearly here: take in the request, check the required information, associate the case and pass it to the designated next step. If a required detail is missing, the appropriate treatment is also known in advance. The technical connection must still be established for the working areas used. The business logic itself, however, needs little discretion in this case.
It matters that a standard case is genuinely standardised. A free-text comment could contain a change that contradicts the rest of the order. Looking only at the structured fields would then be insufficient. Use actual examples to find out which information employees have previously had to read before treating an order as complete.
The terminology follows a similar distinction: Anthropic separates predefined paths from dynamic task handling. That describes working methods, rather than an automatic advantage in quality. Source: Building effective agents.
Find the points where content needs interpretation
In the second case, the same customer writes that they would like to repeat last month’s delivery, this time with twelve sets instead of ten and to a different location. The message expresses an understandable business request. Preparing a usable case nevertheless requires finding earlier details, recognising the explicit changes and correctly associating the elements that remain unchanged.
The work involves more than transferring completed fields. Someone must understand the reference to the previous order and assess whether the available information supports the new preparation. This is where an AI agent can be useful. A clear assignment can include the required interpretation and use of approved sources, without somebody specifying every individual search step again.
This work also needs a verifiable result. In the example, the twelve sets and changed location must appear in the prepared case. It must remain clear which information comes from the new message and which from the earlier order. The agent should establish a traceable connection. Filling a gap with a convincing-sounding assumption would not be a usable substitute.
The benefit therefore arises where your team previously had to read content, establish context and prepare a bounded next step from it. Afterwards, what matters is the work actually handed over. If the employee must research every association again, a formally created case has not yet removed the main effort.
Compare both approaches using the same customer order
Put three variations side by side for the comparison. The first contains complete, fixed information. The second refers to the previous order and changes the quantity and location. The third simply says something like “the same as before, but enough for our new team”. In that third case, a clear quantity is missing. Giving software greater discretion does not create that missing knowledge.
| Variation | Work required |
|---|---|
| Complete information | Check, associate and transfer |
| Explicit changes | Find the reference and interpret changes |
| Unspecified new need | Make the missing information visible |
A fixed workflow may fit the first variation. For the second, agent-based handling is worth testing when the relevant sources and permitted actions are available. In the third, a good result might be a correctly prepared clarification question with the known context. The quantity must not appear as supposedly established simply to make the case look complete.
This comparison makes your need more concrete than asking which technology is more modern. Most of your orders may already be clearly structured. Alternatively, interpreting the changing wording of recurring requests may consume substantial office time. Use your own cases to determine where the effort occurs and which approach actually prepares the result you need.
Combine fixed rules with the flexibility of an assignment
A business process does not have to follow the same principle throughout. Fixed rules might determine which incoming records belong to a designated working area. A bounded agent assignment could then interpret their variable content. Afterwards, another clear rule could determine who receives the completed preparation.
For the supplier in the example, the initial use could remain limited to preparation. The assignment receives the approved sources, identifies the earlier case, compiles the changes and delivers a traceable working basis. Further handling follows the business rules already established. The office gets a usable result without formulating a new research assignment for every message.
Assess the combination from the work required. An additional processing step is worthwhile when it takes on a task that was previously unresolved. It is not valuable merely because another software feature is being used. If an existing fixed process already handles a standard case fully and well, you can concentrate agent work on the cases that actually need interpretation.
Responsibility should remain understandable too. The person in the office should know which part has been prepared, where the information comes from and what happens next. They do not need a report on every internal technical action. They need a working basis they can use for the customer’s order.
Clarify access and decisions before the first use
A well-written assignment only helps when the necessary information is accessible. In the example, the earlier customer order and current message must be associated reliably. If they sit in different working areas, clarify the intended access and connections. The name of an AI feature alone does not establish that a particular external application is connected.
Also define which data this part of the process actually needs. Preparing a recurring order does not automatically make every area of the company relevant. The assignment needs the information and tools appropriate to its purpose. The clearer this relationship, the easier it is to determine later whether an unresolved issue comes from missing information, an unclear instruction or a genuine exception.
Allocate decisions according to their substance. A bounded routine can proceed independently within clear rules. An unresolved discount, an unusual delivery promise or a material change to the customer’s order requires the appropriate decision-maker. Confirming every small intermediate action would consume the time benefit again. Place the boundary where a human decision is genuinely required for that assignment.
webRichtung Agent provides assignments, automations, rules and targeted approvals for this work. You determine the available tools and can stop an assignment or deactivate an automation. The specific ordering process that makes sense for your business follows from the outcome described and the working access available.
Test a small but informative selection
A carefully chosen set of cases tells you more initially than an arbitrary large volume. Include a complete standard case, a clear change request and a case with information genuinely missing. Use the same starting data and outcome description for the comparison. Otherwise, one approach could appear better simply because it received easier cases or more prepared information.
Before the run, record what a usable result must contain. The standard case needs the correct customer, material, quantity and address. In the change case, the new quantity must apply and the old location must be replaced. In the unspecified case, the open question about quantity must remain visible. Those expectations are independent of the technical approach used for preparation.
Then examine the actual results. Has the correct customer been identified? Have explicit changes been applied? Can the responsible person trace how the information was derived? What work do they still need to do themselves? A finished text is not automatically a completed case. The agreed result must remain usable for the next business step.
Separate problems by cause. Missing access to sources requires a different correction from an assignment described too generally. An unknown customer decision remains an unknown customer decision. Making these distinctions helps you improve the first use precisely, instead of accumulating additional rules that never address the underlying issue.
Decide based on the work actually delegated
After the comparison, you can describe the benefit in practical terms. A fixed process may have prepared the complete standard cases well. The agent assignment may also have interpreted the explicitly worded changes correctly. For unspecified requests, a usable clarification question is available. You can see which part of the customer order is completed in each situation and where a decision is still needed.
Record the remaining effort as well. Include supplying information, checking and completing the result, and maintaining the working rules. Your commercial decision also needs actual usage costs. A blanket savings percentage is less useful here than your own observation of comparable cases.
The first use can be manageable and still deliver real value. If the office receives recurring customer requests already prepared and can focus on clarification, advice and definite next steps, a concrete workload has been delegated. You can build on that and extend the next part of the process deliberately.
Prepare your first use of webRichtung Agent
Choose a customer order that occurs regularly in your business and describe its three most common variations. Record which details are unambiguous, where earlier information is needed and which decisions remain with the customer or a responsible colleague. This creates an understandable first assignment with a result you can assess.
The module page shows how webRichtung Agent takes on recurring work through assignments and scheduled automations. Use the existing registration process to create your platform account and enter your working areas through webRichtung Start. With your specific case in hand, you can then prepare the use that should take work off your office’s desk.
Explore Agent, create an account and prepare your first specific assignment.
Frequently asked questions
When is a traditional workflow a better fit?
When inputs, rules and the next step are unambiguous, a fixed process can represent the work well. Examine the actual case to see whether any further interpretation of its content is needed.
When does an AI agent add value?
An agent can be useful when an assignment must consider changing content and existing context. What matters is whether it produces a usable result with less manual work remaining.
Can one process combine both approaches?
Yes. Fixed rules might handle incoming material and completeness checks, while a bounded assignment interprets variable content. The right combination depends on the actual case and the working connections available.
How do I start with webRichtung Agent?
Visit the module page to explore assignments, scheduled automations and control through rules and approvals. Its registration process lets you create your platform account and prepare your first specific use case.