Harklane
About / Harklane

Progress needs
continuity.

What a company learns with AI should remain useful when its tools change.

Why we exist

Two evolving systems.
One continuing relationship.

AI changes through new capabilities, architectures, and costs. Organizations change through new people, objectives, and ways of working.

An employee can discover a valuable AI practice before the business has a way to share it. We’re building software to turn that experience into workflows the whole company can use and improve.

Fig. 01 / Two evolving systemsOne continuing relationship
Two systems change; organizational understanding persists Intelligence and the organization evolve along different paths over time. A persistent organizational representation connects them and supports repeated evaluation. This is a conceptual illustration, not measured data. t₀t₁t₂ Y / INTELLIGENCEX / ORGANIZATION Persistent organizationalrepresentation
Intelligence

New capabilities and costs.

Organization

New objectives and ways of working.

What should change,
and what should endure?

Compare configurations against the organization as it is now. Preserve the useful scenarios and evidence, record what changed, and test whether an adaptation actually helps.

Evolve the relationship. Keep the accumulated understanding.

Conceptual illustration. The curves express change, not measured performance or a working optimizer.

What should endure

Each implementation
should leave something useful.

A workflow. The context behind a decision. Examples of a good result. Corrections that prevent the same mistake. Together, these give the next implementation a better starting point.

Our design begins with approved employee contributions and business knowledge. Customers should be able to review, correct, and carry this work forward. Existing business systems remain authoritative.

Human judgment belongs in the process. Access to information, authority to act, and responsibility to approve are distinct. The people responsible for a workflow must be able to understand its activity.

Our first product starts with selected workflows. Our research asks how this accumulated experience could support richer computational representations of organizations.

Explore the research