What does GreyShacks do?

GreyShacks helps a company move a specific workflow from AI assistance and partial automation toward reliable completion. We assess what blocks that workflow, define what can safely run autonomously, and engineer the changes required to make it work in production.

Is the Autonomy Assessment a software product?

No. It is a scoped working engagement. You receive a workflow map, a blocker analysis, an exception register, an autonomy boundary, a remediation plan, an implementation blueprint and a business case with stated assumptions. It does not guarantee full autonomy.

Can we stop after the assessment?

Yes. Implementation, validation and later improvement are separate decisions. The assessment is written so another team could act on it.

Will every step of our company be automated?

No. We work on one workflow at a time. Some steps can run autonomously. Others need approval, or should stay with a person because of law, risk, ambiguity or judgment.

Companies that already use AI, agents or automation software, and still rely on people to supervise, correct or finish a meaningful part of a real workflow. The buyers closest to that problem are COOs and heads of operations, CIOs, CTOs and heads of AI or automation, and the owner of the process.

How is this different from the automation tools we already have?

Tools such as UiPath, Microsoft Power Automate, ServiceNow and internal engineering already perform parts of many workflows. GreyShacks starts from why that setup still cannot complete the work reliably, and helps close the specific gap. We do not claim to replace those products or to be technically superior to them.

Do you replace our existing systems?

Where it is practical, engineering connects to the CRM, ERP, case tools and records the workflow already uses. Access stays limited to what the task needs.

How do security and governance fit?

They are requirements of the workflow, set at the level of the action. Depending on the risk, that includes identity, permissions, data boundaries, human approval, audit logs, evaluation and monitoring. They are specified with the build.

How do you measure the result?

The baseline and target are set for the workflow before implementation. Useful measures include the share of eligible cases completed end to end, cases that still need a person, human time per case, processing time, error and rework rates, exception and escalation rates, cost per completed case, and compliance with the operating rules.

What is the first step?

An Autonomy Assessment of one workflow. Submitting the form starts a conversation about that assessment. This site does not quote it as free or fixed-price, and it does not start implementation.

Do you publish client names or outcome percentages?

Client names stay private unless a client agrees otherwise. The case pages describe anonymized operating problems and the work that was done. They do not report measured completion rates, cost or time savings.

How is data protected in systems you operate?

Where GreyShacks operates infrastructure, sensitive credentials are encrypted with AES-256-GCM and envelope encryption via Google Cloud KMS. Data is encrypted in transit and at rest. We do not train foundation models on your private operational data. That describes those controls. It is not a certification, and it is not a claim of complete security.

Questions buyers usually ask

Short answers. The service pages go into the method.

What does GreyShacks do?: GreyShacks helps a company move a specific workflow from AI assistance and partial automation toward reliable completion. We assess what blocks that workflow, define what can safely run autonomously, and engineer the changes required to make it work in production.
Is the Autonomy Assessment a software product?: No. It is a scoped working engagement. You receive a workflow map, a blocker analysis, an exception register, an autonomy boundary, a remediation plan, an implementation blueprint and a business case with stated assumptions. It does not guarantee full autonomy.
Can we stop after the assessment?: Yes. Implementation, validation and later improvement are separate decisions. The assessment is written so another team could act on it.
Will every step of our company be automated?: No. We work on one workflow at a time. Some steps can run autonomously. Others need approval, or should stay with a person because of law, risk, ambiguity or judgment.
Who is this for?: Companies that already use AI, agents or automation software, and still rely on people to supervise, correct or finish a meaningful part of a real workflow. The buyers closest to that problem are COOs and heads of operations, CIOs, CTOs and heads of AI or automation, and the owner of the process.
How is this different from the automation tools we already have?: Tools such as UiPath, Microsoft Power Automate, ServiceNow and internal engineering already perform parts of many workflows. GreyShacks starts from why that setup still cannot complete the work reliably, and helps close the specific gap. We do not claim to replace those products or to be technically superior to them.
Do you replace our existing systems?: Where it is practical, engineering connects to the CRM, ERP, case tools and records the workflow already uses. Access stays limited to what the task needs.
How do security and governance fit?: They are requirements of the workflow, set at the level of the action. Depending on the risk, that includes identity, permissions, data boundaries, human approval, audit logs, evaluation and monitoring. They are specified with the build.
How do you measure the result?: The baseline and target are set for the workflow before implementation. Useful measures include the share of eligible cases completed end to end, cases that still need a person, human time per case, processing time, error and rework rates, exception and escalation rates, cost per completed case, and compliance with the operating rules.
What is the first step?: An Autonomy Assessment of one workflow. Submitting the form starts a conversation about that assessment. This site does not quote it as free or fixed-price, and it does not start implementation.
Do you publish client names or outcome percentages?: Client names stay private unless a client agrees otherwise. The case pages describe anonymized operating problems and the work that was done. They do not report measured completion rates, cost or time savings.
How is data protected in systems you operate?: Where GreyShacks operates infrastructure, sensitive credentials are encrypted with AES-256-GCM and envelope encryption via Google Cloud KMS. Data is encrypted in transit and at rest. We do not train foundation models on your private operational data. That describes those controls. It is not a certification, and it is not a claim of complete security.

Start with one workflow.

Show us a process where AI still depends on people to gather information, make routine decisions, move between systems or finish the work.