cosenlab
Pilot programs

Put the hypothesis to the test.

A bounded program to find out whether a Cosen Lab system creates real value in your organization: inside your processes, with your data and within your constraints.

Set up the pilotHow it works

The principle

Don’t demonstrate the technology.

Test it against reality.

  1. 01

    Hypothesis

    What should change

  2. 02

    Real context

    Testing in the actual environment

  3. 03

    Evidence

    What really happened

  4. 04

    Decision

    AdoptAdaptExtend the pilotStop
01Why a pilot

A demo shows what’s possible.
A pilot tests what’s real.

A demo shows how a system works. A pilot answers the harder question: does it create tangible value in your organization?

  1. 01 · Private demo

    Could it be relevant?

    Explore the system starting from a concrete question.

    Explore the private demo
  2. 02 · Pilot program · this page

    Does it work in our context?

    Test a bounded hypothesis against real processes, data and constraints.

  3. 03 · Decision

    What comes next?

    Use the evidence to adopt, adapt, extend or stop.

A pilot is

  • A bounded experiment

    Scope, systems, users and duration are explicitly defined.

  • A real use case

    The system is tested against an actual problem in the organization.

  • An evidence process

    Success and failure are assessed against agreed criteria.

  • A space to learn

    Assumptions can be challenged before any broad adoption.

A pilot is not

  • A production rollout in disguise
  • A never-ending proof of concept
  • A commitment to full adoption
  • A promise of predetermined results
The purpose of a pilot is not to prove Cosen Lab right. It is to find out what is true.
02The method

From hypothesis
to evidence.

Seven steps, each with an explicit question. Every step reduces ambiguity before the organization reaches its decision.

Step 1 of 7 · Hypothesis

What do we believe can improve?

What gets defined

The expected change, written in a testable form and agreed by both parties.

What comes out

An explicit hypothesis

Success is not defined after the fact.

Before launch, the organization and Cosen Lab agree on what to observe, how to assess it and what will count as a meaningful result.

  • Baseline

    Where are we starting from?

    Current process, effort, costs, service levels, decision quality or risk.

  • Objective

    What needs to improve?

    Pilot-specific objectives drawn from the real context. Not generic promises.

  • Evidence

    What supports the conclusion?

    System data, operational results, user observations, decision log, exceptions.

  • Assessment criteria

    How do we interpret it?

    Confirmed · Partially confirmed · Not confirmed, with the context to understand why.

During the pilot

Duration depends on the use case, data availability, organizational complexity and the evidence required.

  1. 01Kickoff
  2. 02Baseline
  3. 03Configuration
  4. 04Controlled use
  5. 05Checkpoints
  6. 06Evidence review
  7. 07Final assessment
03Boundaries and control

It enters your context.
Without destabilizing it.

A pilot must produce evidence without quietly altering the systems that already keep the organization running. The boundary is what makes the test readable.

How it fits in

  1. Human decisionAuthority remains explicit
  2. Pilot environmentDefined users, processes and boundaries
  3. Cosen Lab systemIntelligence layer and pilot scenarios
  4. Controlled data layerRead-only or bounded integration where appropriate
  5. Your systemsERP · WMS · CRM · AS400 · other sources — they remain the system of record

The scope of every pilot

Scope
Processes, sites, systems and explicit exclusions
People
Users, owners, reviewers and decision-making authority
Data
Sources, access methods, permitted use and limits
Duration
Kickoff, checkpoints, evidence window and close-out
Metrics
Baseline, objectives, observations and evidence
Risks
Operational, governance and implementation constraints
Exit
Adopt, adapt, extend or stop

A pilot can test automation. It must never obscure authority.

  1. Observe
  2. Recommend
  3. Verify
  4. Approve· people
  5. Act

  • Human oversight

    Material operational decisions remain with people.

  • Explainable results

    Every recommendation shows its information, assumptions and context.

  • Controlled execution

    Moving from recommendation to action follows the agreed governance.

04Evidence and decision

The goal is not adoption.
It is a better decision.

A successful pilot does not necessarily end in adoption. It ends with enough evidence to decide the next step responsibly.

The evidence dossier

Standard contents

A structured record of what was tested, what happened and what remains uncertain. The conclusion does not rest on a sales narrative.

  1. 01BaselineWhere the organization started.
  2. 02Observed resultsWhat was actually seen.
  3. 03ExceptionsWhere reality departed from expectations.
  4. 04LearningsWhat the pilot revealed.
  5. 05Governance notesControls, responsibilities and constraints.
  6. 06RecommendationAdopt · Adapt · Extend · Stop

The decision point

  • 01AdoptThe evidence supports the hypothesis: adoption is planned with governance already in place.
  • 02AdaptThe value is there, but scope or configuration needs revisiting before moving forward.
  • 03Extend the pilotThe evidence is not yet sufficient for a responsible conclusion.
  • 04StopThe hypothesis is not confirmed. That, too, is a useful result.

Each of these is a valid conclusion, provided it is supported by the evidence.

05Set up the pilot

What would you like
to put to the test?

Five answers are enough for a first pilot charter. Watch it take shape on the right; when it is ready, submit it for qualification.

1Which area?
4What should it measure?
5Which systems does it sit alongside? · optional

Don’t assume. Verify.

Don’t promise. Measure.

Don’t adopt blindly. Decide on the evidence.

Set up the pilotStart with a private demo