WYnova

AI engineering teams embedded in your company's operations

Forward Deployed Engineering is the model in which WYnova engineers work inside the client's operations, on a time and materials basis, on long challenges with no defined solution. The team builds alongside the client's people and transfers knowledge until the organisation can take over the work.

Contact WYnova
  1. 01

    On-site integration

    The team joins the operations and maps the actual process.

  2. 02

    Joint development

    Code and decisions developed with the in-house team.

  3. 03

    Knowledge transfer

    Training and support throughout development.

  4. 04

    Team autonomy

    WYnova steps back once the in-house team can take over the work.

When this model is the right fit

  • The challenge is long and the scope will change over the course of the project.

  • The right solution has not yet been defined.

  • The solution depends on operations and requires an on-site presence.

  • The organisation wants to retain knowledge within its in-house team.

Commercial and team model

Commercial model
Time and materials
Team
Forward Deployed Engineers on site
Duration
Tailored to the challenge
Exit
Autonomous in-house team

At Lachenmeier, the system cross-checks GPS data against planned tasks, flags discrepancies for human review and has cut reporting time by around 90%.

The final decision remains human

AI validates reported hours against the actual route and refers only the discrepancies to the manager.

See the case at Lachenmeier
Lachenmeier · horas e conduçãoReal time
  • Technician A: client visit Reported 7.5 hours · GPS 6.0 hours · discrepancy Validated
  • Technician B: maintenance Reported 8.0 h · GPS 8.1 h Validated
  • Technical C: installation Reported 6.5 hours · GPS 6.4 hours Validated

Discrepancies routed to the manager for review

Illustration of the validation developed for Lachenmeier: GPS cross-checked against planned tasks. Hours are illustrative.

Four-phase methodology

  1. 01

    Diagnosis

    The starting point is the actual process and the business problem, not the technology.

    Client
    Describes the process and the business problem in an initial 30-minute meeting.
    WYnova Engineering
    Maps the actual workflow, the available data and the repetitive work.
    AI
    Identifies the steps without a fixed rule, where AI is justified.
    Human validation
    Defines with the client the critical points that require approval.
  2. 02

    Validation

    Feasibility is confirmed before any investment in development.

    Client
    Shares the data and makes the go/no-go decision before development.
    WYnova Engineering
    Confirms the problem, the data and the feasibility with a prototype or proof of concept.
    AI
    Models are tested in the prototype and chosen case by case.
  3. 03

    Development

    Phased development, integrated into existing systems, with go/no-go decision points.

    Client
    Decides at each go/no-go decision point between phases.
    WYnova Engineering
    Integrates through MCP and connectors into existing systems, without migrations.
    AI
    Handles the steps that require judgement. The rest runs on deterministic rules.
    Human validation
    A person approves at critical points, with an audit trail.
  4. 04

    Production

    In production, with traceability at every step and the code owned by the client.

    Client
    Receives the documented code, with no vendor lock-in.
    WYnova Engineering
    Puts the solution into production and rolls it out to other teams, with an engineer on site when needed.
    AI
    Operates day to day, with traceability at every step.
    Human validation
    Reviews what the AI flags, such as discrepancies in hours at Lachenmeier.

Do you have a long challenge with no defined solution?

In a 30-minute meeting, WYnova assesses whether an on-site team is the right model for your case.