Welf LabsEvaluation before autonomy.Read the note
Engineer walking through a tall industrial hall

The delivery model

One team. From decision to production.

A quote waiting on engineering. A service team rebuilding the same case. A pilot nobody uses. Welf embeds a senior team with your operators and IT to redesign one workflow, connect it to live systems and establish whether it is worth scaling.

The right first 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.

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.

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.

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.

  1. 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.

    You receive
    Workflow map, baseline and representative case set.
    Decision gate
    Proceed when the problem matters and the required data can be accessed.
  2. 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.

    You receive
    Solution brief, architecture and acceptance criteria.
    Decision gate
    Proceed when the process owner and IT agree the operating boundary.
  3. 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.

    You receive
    Working workflow, integrations and test results.
    Decision gate
    Proceed when representative users can complete the task and failures are recoverable.
  4. 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.

    You receive
    Operating runbook, results review and next-stage recommendation.
    Decision gate
    Scale only when quality, adoption and operating cost support the case.

The investment decision

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.

What stays with your team

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.

Questions before we start

What your team needs to know.

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.

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.

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.

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.

Follow the work

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 example

Bring one difficult workflow.

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.

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