Control
Identity, permissions, audit trails, cost visibility and incident handling.
Technology & trust
Built in your systems. Measured in your business.
Your users need a result they can act on: a reviewed quote, a prepared service case or an inspection record. Welf engineers the data access, model behavior, system actions and operating controls that connect those results to your existing technology.
AI capabilities
The engineering behind the next workflow.
Explore the tasks, integration choices and deployment models your team needs to assess.
The architecture decision
Use AI where interpretation helps.
A language model is one part of the workflow. The architecture assigns each task to the mechanism that can be tested and operated reliably.
On smaller screens, scroll sideways to compare all columns.
| Work | Useful mechanism | Example |
|---|---|---|
| Interpret unstructured information | A model with relevant, permitted context. | Extract a requirement from an RFQ and link it to the source. |
| Enforce a business constraint | Explicit rules and validation. | Reject a quotation payload that is missing a mandatory approval. |
| Commit a system action | A scoped interface and an authorized decision. | Write the reviewed quotation and retain the returned record ID. |
Reference architecture
Every action has a boundary.
A reference architecture adapted to your systems, access requirements and approval process.
Enterprise systems
SAP, Microsoft, CRM, DMS and operational systems remain the systems of record.
Connect + Context
Interfaces with defined inputs and outputs retrieve permitted records and the context needed for the current task.
Workflow + models
Deterministic rules handle hard constraints. Models interpret, extract and prepare recommendations.
Evals + Control
Test quality, check permissions, record actions and route exceptions.
Human authority
Your team defines which actions can run automatically and which need approval.
Engineering assets
Reusable foundations. Customer-specific systems.
Control, Context, Evals and Connect are reusable engineering components we adapt to your workflow and existing systems.
Context
Business entities, documents, policies, process state and permission-aware retrieval.
Evals
Representative cases, failure scenarios and regression checks after changes.
Connect
Defined inputs and outputs, scoped permissions and recovery when a system action fails.
Before deployment
Make the operating choices explicit.
Agree where data is processed, which providers may receive it, retention and access. Deployment follows the customer’s requirements.
Classify each action: observe, recommend, act with approval, act within policy or prohibit.
Define who is alerted, how work returns to a person and how state is recovered without repeating a consequential action.
In operation
Quality needs continued evidence.
Review real output and business outcomes. Re-test when models, prompts, policies or integrations change. Maintain an accountable owner and a practical rollback path.
Read the evaluation noteQuestions before we start
Questions for your IT team.
No platform replacement is assumed. We scope a workflow around your existing systems and use reusable engineering assets where appropriate. Interfaces, licensing and the deployment model are checked for the specific environment.
Compare candidate models on representative tasks, including difficult cases, operating cost and latency. Data-processing terms and deployment requirements can rule out a provider even when its benchmark results are strong.
Start with the system action.
What should a user be able to finish, and where must the result be recorded? We can work backwards from that to the architecture.
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