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Generative AI Solutions
Generative AI.
Grounded in your business.
Make enterprise knowledge easier to use without treating generated text as a final decision. MetaDynamic builds generative AI solutions for search, summarisation and assisted work, with evaluation and review built in.
Business-first design / Clear delivery scope / Ongoing support
The business case
The quality of the answer starts before the prompt.
A useful generative AI application needs more than access to a model. It needs suitable content, permissions, retrieval design, evaluation cases and a clear place in the workflow.
We build around an agreed business task and test with representative material. Retrieval can provide relevant context, but it does not guarantee a correct answer; uncertainty and human review remain part of the design.
Evidence before output
- Approved business content
- Permission-aware retrieval
- Grounded response
- Evaluation and human review
Specialist services
Generative AI Solutions services
01
Use-case discovery
Select tasks with a clear user, measurable purpose and suitable information.
02
Enterprise knowledge retrieval
Prepare content and retrieval patterns so responses can reference relevant business sources.
03
Summarisation & assisted drafting
Build reviewable drafts and summaries with explicit scope, formats and acceptance criteria.
04
Application & workflow integration
Embed assistance where teams work, with system access separated from generated content.
05
Quality & safety evaluation
Test relevance, groundedness, omissions and failure cases using a maintained evaluation set.
06
Usage, latency & cost controls
Track request patterns, response time and consumption to inform rollout decisions.
Where it fits
Practical work. Clearly defined.
01
Find the right procedure
Retrieve relevant policy or technical guidance with source references for review.
02
Review a long document
Create a structured summary that directs the reader back to the underlying material.
03
Prepare a first draft
Assist with business correspondence or internal content while retaining human approval.
Delivery outcomes
Know what you will receive.
01 Use-case and data assessment
A clear business task, information scope and readiness findings.
02 Evaluated application pilot
An end-to-end prototype with documented tests and unresolved limitations.
03 Production transition plan
Access, monitoring, content maintenance and release responsibilities.
Our approach
A measured route into production.
- STEP 01Select the use case
- STEP 02Assess the content
- STEP 03Design retrieval
- STEP 04Build the experience
- STEP 05Evaluate outputs
- STEP 06Release and measure
Frequently asked questions
What to consider before you start.
What is an enterprise generative AI solution?
It is an application that uses a generative model within a defined business workflow, with relevant information, permissions, evaluation and operational ownership.
What is retrieval-augmented generation?
RAG retrieves relevant content and supplies it as context for a model response. Retrieval quality and source permissions are important design considerations.
Does grounding eliminate incorrect answers?
No. A grounded application can still produce incorrect or incomplete output. We use evaluation, source references and appropriate review to manage that limitation.
Do we need to train our own model?
Not necessarily. Prompt design, retrieval and existing model services may meet the need. Model adaptation is considered only where the use case justifies it.
Can the solution use confidential business information?
The design must account for the selected service, data handling, source permissions and your policies. Information scope is agreed before implementation.
How do you measure a pilot?
We agree task-specific measures such as answer relevance, completeness, time to complete the task and review effort. No accuracy or savings target is assumed without a baseline.
Connected capabilities
Plan the wider process.
Start a conversation
Make one knowledge task easier to complete.
Discuss the documents, users and business outcome behind your generative AI idea.
Keep in touch