The delivery model
One team. From ambition to operation.
We bring research and engineering into your business. Our team works with your people to build the systems and products your next stage depends on.
The perspective
Close to the work. Responsible for the build.
The important decisions happen where business knowledge meets engineering. Welf keeps both in the same team, from understanding the problem to putting the system into use.
Your Forward Unit
The team that scopes it also builds it.
A Forward Unit brings product, AI engineering and integration skills into one delivery team. Your operators work with the people writing the software, so an exception found on Tuesday can change the next build.
A first delivery cycle
From observed work to a decision to scale.
For a bounded workflow, the planning reference is roughly 90 days. Access, procurement, validation and integration complexity can change the schedule. Milestones and acceptance criteria are agreed before delivery.
Days 1–10
Observe the current work
Follow users through completed and failed cases. Separate the time spent working from time spent waiting, and identify the exceptions that consume specialist attention.
Deliverable & decision
- Deliverable
- Workflow map, baseline and representative case set.
- Decision
- Proceed when the problem matters and the required data can be accessed.
Days 11–20
Design the future workflow
Decide what AI prepares, what rules enforce and what a person approves. Agree the system actions, fallback and business measure before building.
Deliverable & decision
- Deliverable
- Solution brief, architecture and acceptance criteria.
- Decision
- Proceed when the process owner and IT agree the operating boundary.
Days 21–60
Build one complete path
Connect a real input to a useful output in the tools your team uses. Test source quality, permission failures, missing records and duplicate actions as the workflow develops.
Deliverable & decision
- Deliverable
- Working workflow, integrations and test results.
- Decision
- Proceed when representative users can complete the task and failures are recoverable.
Days 61–90
Run, measure and decide
Release to an agreed user group, review outcomes and compare equivalent cases with the baseline. Use the results to expand, improve or stop.
Deliverable & decision
- Deliverable
- Operating runbook, results review and next-stage recommendation.
- Decision
- Scale only when quality, adoption and operating cost support the case.
A closer look
What goes into the work.
Explore the questions that matter for your project.
Find the work that keeps coming back.
Start where experienced people repeatedly search, reconcile or re-enter information. The strongest first project has enough volume to matter and a result the business can observe.
A business reason
Choose the backlog, response time, rework or capacity constraint you need to change. Record what a completed case costs today, including review and corrections.
A route into the systems
Identify the records the team reads and the actions it takes. Confirm access, interfaces and a test environment with the people who own them.
People who can change the work
Bring a process owner, an IT counterpart and representative users. They help test the workflow and decide how it enters daily operations.
The team that scopes it
also builds it.
A Forward Unit brings product, AI engineering and integration skills into one delivery team. Your operators work with the people writing the software, so an exception found on Tuesday can change the next build.
Business and product
Translate the operational problem into a bounded scope, a baseline and a user workflow. Keep the sponsor informed of trade-offs and decisions.
Engineering and integration
Build the application, connect the required systems and test it against real cases. Work with your IT team on access, deployment and recovery.
Your operational counterparts
Your process owner sets priorities and acceptance criteria. Users test the work. IT and security approve the environment and operating responsibilities.
Count the work that
actually disappears.
A faster draft is useful only if review, corrections and system updates also become easier. We assess the complete workflow and distinguish released capacity from cash savings.
Business effect
Track completed cases, end-to-end time, rework and service quality. Check whether people use the system and where they still work around it.
Cost to run
Include inference, hosting, integrations, support and human review. Compare the cost per accepted result, not just the cost per model call.
Next commitment
Review the remaining failure cases and the effort to extend the workflow. Agree a narrower improvement, a broader rollout or a stop decision.
A system you can
understand and operate.
We plan the handover from day one: what your team receives, how the system will be maintained and where you want continued support.
The implementation
The agreed code, configuration, interface specifications and deployment instructions, with a clear record of usage rights and software licenses.
The evidence
Evaluation cases, acceptance results, known limitations and the measurement method. Your team can check the effect of future changes.
The operating knowledge
Runbooks, access responsibilities, monitoring, escalation and recovery procedures. Work through handover with the people who will maintain the system.
What your team needs to know.
Do we need a complete AI strategy first?
No. A defined business problem can be enough to begin discovery. We still need a sponsor, a process owner and a practical route to the relevant data and systems. If those are missing, the first task is to resolve them.
Can you take over an existing pilot?
Yes, subject to a technical review. We examine its users, code, integrations, evaluation evidence and operating costs, then decide which parts to retain and what prevents production use.
How do we define the project?
We agree the workflow, deliverables, customer responsibilities, acceptance criteria and budget before the build. Dependencies and changes are made explicit. A focused delivery and a continuing Forward Unit are scoped differently.
What happens after launch?
Your team can take over, continue with Welf support or plan the next phase. We define who maintains the system, the support budget and how changes are reviewed.
Inside a quote-to-order workflow.
See how an RFQ becomes a source-linked response for sales engineering, with technical and commercial review before any commitment.
Explore the worked exampleTurn ambition into a working system.
Tell us who does the work, where it gets stuck and which systems it crosses. We can use that context to discuss fit, access and a useful first scope.
Start a conversation