From pilot to scale

An industrial automation pilot should not be treated merely as a technology demonstration. Its real purpose is to determine whether a process can be automated reliably, economically and in a way that can later be repeated under real operating conditions.

That is why a successful pilot does not begin with the choice of a robot. It begins by defining the business and operational outcomes the project must deliver.

Define KPIs before selecting technology

A common mistake in automation projects is to select a robot, manufacturer or integrator first and then attempt to prove the value of that chosen solution.

This can lock a company into a specific technology and hardware roadmap before the process itself has been properly validated.

A stronger approach is to define first:

• the process to be automated;
• its current cost and limitations;
• the expected automation outcome;
• how that outcome will be measured;
• the criteria for continuing, modifying or stopping the project.

Only then should the appropriate combination of robotics, mechanics, machine vision, software and integration be selected.

Two levels of pilot KPIs

At OKTAVIS Robotics, we view pilot KPIs on two levels.

1. Core business outcomes

These are defined before the pilot begins and remain the basis for an objective scaling decision. They commonly include:

• cost per processed unit;
• required labour hours;
• productivity and throughput;
• quality and error rate;
• system availability;
• expected payback period.

2. Technical and operational parameters

These can be refined during the pilot using real data. They may include optimal operating speed, product feeding and positioning, required system accuracy, format changeover time, maintenance intervals, operator involvement and acceptable performance thresholds.

The project should learn from real operation without moving the business goalposts simply because the initial solution did not meet them.

What should a pilot actually validate?

A pilot should test the process, the technical solution and the commercial logic at the same time. By the end of the pilot, several questions must be answered:

1. Does the system perform the defined process reliably?
2. Does it deliver the required quality under real operating conditions?
3. Can it handle the planned products and formats?
4. What are the actual throughput, operating cost and operator requirements?
5. How quickly can it adapt to a product change?
6. Can maintenance, service and support be organised practically?
7. Does the economic case justify scaling?

If a result differs from the initial assumption, the pilot should explain why and show whether the gap can be addressed through changes to the process, system design or operating model.

Moving from pilot to scale

Scaling should not be automatic. It requires a clear, data-based decision.

There are three possible outcomes:

• the pilot meets its criteria and the solution moves into standardisation and scaling;
• the business objective is achievable, but the technical solution requires refinement;
• the process does not currently justify further automation.

The third outcome can still be valuable. A controlled pilot allows a company to test its assumptions early and avoid a much larger misallocated investment.

A vendor-independent approach

Independence from a single manufacturer or integrator does not mean that every system component must be interchangeable. It means that the solution architecture is selected according to the needs of the process rather than a predetermined equipment portfolio.

The customer should understand in advance:

• who owns the system data and documentation;
• how open the solution is to future upgrades;
• whether service depends entirely on one supplier;
• whether individual modules can be changed without replacing the entire system;
• how the solution will adapt to new products and locations.

This becomes especially important when a successful pilot is intended to be deployed across multiple manufacturing or distribution sites.

Conclusion

A strong pilot does more than prove that a robot can perform a movement. It demonstrates that the complete automated process can deliver a measurable business result.

When business goals remain stable, the technical approach remains adaptable and decisions are based on real data, the pilot becomes the bridge between an idea and a scalable industrial application.