Your AI can assess the impact of a change
IceShore hands your AI the material it needs. It prepares the material in your architecture so that your own AI can answer the questions you really face during maintenance and extension. The more complete your architecture, the more your AI has to work from when it answers the questions below. Just copy a prompt and paste it into your connected AI.
Three questions you face on every change
Change one system and the impact spreads in three directions — business, processing, and downstream. IceShore shows whether the material for each of the three is in place, and helps you fill what's missing. Replace "system name" below with your own system.
Business ImpactWho is affected, and how much
The better the affected users and business functions (actors) and their scale are defined, the more concretely your AI can assess the impact — up to headcount-level when the data is in place.
Using iceshore, when I change "system name", which users and business functions are affected, and at what scale?Processing ImpactWhich flows and data are touched
The better the processing flows (use cases) and the types of data they handle are defined, the better your AI can tell which processing paths and data a change affects, without mixing them up.
Using iceshore, when I change the DB of "system name", which processing flows and data are affected?Downstream ImpactHow far it propagates
The more explicitly dependencies on other systems, shared dependencies with other architectures, and external integrations are stated, the better your AI can trace which external systems a change ripples out to.
Using iceshore, when I change "system name", which external systems and other architectures does it propagate to?Ask across your whole organization
Register multiple systems in IceShore and you can ask questions that reach beyond a single system.
Note: queries cover systems registered in the same workspace.
Find the system with the largest impact
Using iceshore, which system has the largest business impact from a DB change? Judge by user count, flow dependencies, and whether alternatives exist.Reuse an existing implementation pattern
Using iceshore, I want to add an email-sending feature — is there a similar implementation pattern in another system in the organization?Scope a shared-platform change
Using iceshore, I want to change the authentication platform — which systems are affected, and what is the total number of affected users?Break the key-person dependency of handovers
When someone hands off, the business meaning carries over to your AI.
Surface the implicit business rules
Using iceshore, for this system, are there any business rules the previous owner must have known that aren't reflected in the configuration?How "AI understanding" works
For each of the three questions above, IceShore shows how well the materials your AI needs are in place. That is "AI understanding." The more material is in place, the more your AI has to draw on.
- Good — the material for that question is in place
- Needs Review — some information is missing; your AI's understanding is limited
- Needs Action — undefined processing and similar gaps; your AI cannot understand it correctly