Useful information sooner
Turn business knowledge into material people can find and act on, with less repeated assembly and editing.
FROM POSSIBILITY TO PRACTICE
What it does for your business
For your business and knowledge team, “Entity recognition” can become a repeatable workflow rather than a separate task handled from scratch each time. AI can help a team search an approved body of information, bring relevant material together and prepare an answer with sources to check. It fits into document preparation, internal communication and information retrieval, using your business information and the standards your team already works to.
The value it could bring
These are the improvements to evaluate against your current process. We agree the scope and test the value with your team.
Less time searching
Find the relevant information across approved sources without repeatedly opening and reading unrelated material.
Keep knowledge accessible
Make documented expertise easier for the team to use, with references that help them verify an answer.
EVIDENCE FROM OTHER BUSINESSES
Published ROI evidence
We have not linked a comparable published financial ROI study for this use case yet. That leaves it unranked, rather than assigning an estimated score. A pilot can measure benefits and total implementation and running costs in your business.
How it works in your business
STEP 1
Bring in the right context
Select the relevant information from your document repository, office tools and internal knowledge base. Agree what a good result looks like with your business and knowledge team, including the rules, examples and permissions the workflow needs.
STEP 2
Turn the task into a workflow
Find the names, amounts and dates and label them. Retrieve information relevant to the task, distinguish source-backed facts from gaps and keep references available alongside the response.
STEP 3
Put the result to work
Deliver a sourced answer or research brief in the tool where the question arose, with a route to an expert when the evidence is insufficient. Document owners verify factual claims, references and access permissions before sharing the result.
AN EXAMPLE IN PRACTICE
A member of your business and knowledge team needs help with “Entity recognition”. They supply approved source documents and relevant business records, together with the relevant instructions and the result they need. The workflow prepares an initial result with its supporting context, flags missing information and returns it for review. The owner can correct it and use the accepted result in the team's document repository, office tools and internal knowledge base.
Start with a focused pilot
Choose one workflow, one team and a representative set of real tasks. We establish the current baseline, build the first version and review the results together before expanding it.
What we would start with
Depending on the scope, useful inputs include:
- Approved source documents and relevant business records
- Templates, writing standards and audience requirements
- Examples of accepted output and required references
We agree access and integration with your document repository, office tools and internal knowledge base as part of the design.
How we would measure value
- Time to a verified answer
- Source accuracy and questions needing escalation
- Time to an accepted document or a verified answer
Document owners verify factual claims, references and access permissions before sharing the result.
LET’S BUILD IT TOGETHER
Could this help your business?
Tell us how your team works today and what you would like to improve. We’ll explore the opportunity, shape a practical first step and build it with you.
Talk to us about this use case