Information is hard to find
Procedures, decisions and documents are spread across folders, emails or tools.
GE2Smart integrates AI where it saves time without hiding uncertainty: search, summarisation, preparation and assistance with visible sources, permissions and human validation.
A business copilot can retrieve a procedure, summarise a case, prepare a response or suggest a classification. The useful scope is defined around authorised data, a clear user and an action that can be checked.
Procedures, decisions and documents are spread across folders, emails or tools.
People spend time reading, comparing and pre-filling before they can focus on the decision.
A fluent answer is not enough when the user needs to verify where it came from.
An agent acts beyond its permissions or turns an uncertain suggestion into an invisible decision.
The source corpus, access model, confidence limits and human checkpoints are part of the design.
Find relevant passages in an authorised corpus and link back to the source.
Turn a long history into a concise view while keeping the underlying record available.
Suggest a response, document, classification or next step for a person to review.
The assistant respects what the current user can see and use.
Prompts, sources, approvals and sensitive actions can be made auditable.
Critical changes, external communication and decisions remain explicitly approved.
A support agent searches several folders and old tickets, then writes a response from memory. The source and access rules are difficult to verify.
The copilot searches the authorised knowledge base, returns relevant passages, summarises the context and prepares a draft for the agent to review.
The answer is faster to prepare, its source can be checked and the agent remains responsible for the final response.
Each example starts from an existing way of working, describes a possible tool and states the outcome to aim for.
Find procedures and relevant passages in an authorised corpus with source links and permissions.
Discuss a similar caseSearch authorised knowledge, summarise history and prepare a response without bypassing permissions.
Discuss a similar caseSummarise a case, find the relevant rule and prepare the next action from authorised sources.
Discuss a similar casePrepare reports, quotes, certificates or summaries from validated business data.
View the related solutionThe prototype reduces risk. Framing data, access rights and exceptions protects the move into production.
We start with an action where assistance can be measured and checked.
Authorised content, data ownership and access rules are identified before prompting.
Known, incomplete and out-of-scope examples show when the assistant must ask or abstain.
Sensitive outputs and actions remain reviewable and attributable.
01Less time spent searching and preparing
02Answers connected to authorised sources
03Uncertainty made visible
04AI assistance that fits an existing operating process
The answers stay general. Your data, risks and constraints determine the final scope.
Yes, when the corpus, permissions, retention and operating responsibilities are defined. The assistant must not access more than the user is allowed to see.
That depends on the scope, but sensitive decisions and external actions should remain explicitly validated by a person.
Source links or passages can be included when the content and retrieval design support it.
Often. A focused assistant, search layer or preparation step can complement an existing application without replacing it.
Describe the process and mention any files or screenshots you could share during a later, secure exchange.
A question about your need, a solution or pricing? Answers use the public pages of this site and show their sources.