# Generative AI & LLM Solutions

Domain: [AI & Intelligence](https://bedreweb.com/services/ai-and-intelligence) · Page: https://bedreweb.com/services/ai-and-intelligence/generative-ai-and-llm-solutions

Generative AI and large language model solutions for drafting, summarising and answering, built around your own content and rules.

## What it is
Generative AI uses large language models to write, summarise, translate, classify and answer questions in plain language. Applied well, it removes hours of repetitive reading and writing from knowledge work.

The model alone is rarely the answer. Useful solutions connect the model to your documents and systems, set clear limits on what it may say or do, and keep a person in charge of decisions. That is where design effort goes.

## What is included
- **Use case design**: Defining the task, the inputs, the expected output and how quality will be judged.
- **Prompt and workflow design**: Instructions, examples and structure that make outputs consistent.
- **Connection to your content**: Grounding answers in approved documents and data instead of guesses.
- **Guardrails**: Rules for tone, scope, sensitive topics and when to hand over to a person.
- **Evaluation set**: A set of real examples used to measure quality before and after changes.
- **Integration and rollout**: Connecting to the tools your team already uses, with training for the people who will use it.

## Outcomes
- **Time back for your team**: Routine drafting, summarising and triage take minutes instead of hours.
- **Consistent output**: Tone, format and policy stay the same across people and shifts.
- **Control over data**: You decide what content the system can see and what it must never do.

## Good fit if
- Your team spends a lot of time reading, writing or searching documents.
- You want an assistant that follows your policies.
- You need to show how answers were produced.

## FAQ
**Will the model learn from our private data and share it?**
That depends on the service and settings chosen. Data handling is agreed up front, and the design avoids sending more data than a task needs.

**Can it make mistakes?**
Yes. Language models can be wrong. Good design limits answers to approved sources, shows where they came from and keeps a person reviewing anything important.

**Which model do you use?**
The model is chosen per use case based on quality, cost, speed and data requirements, and can be changed later.

## How Bedre delivers
1. **Discover**: Workshops and stakeholder interviews to define goals and constraints.
2. **Assess**: Current-state review of systems, data, security and spend.
3. **Architect**: Target design, integration map and phased plan with owners.
4. **Implement**: Build in short releases with demos, tests and staging sign-off.
5. **Optimize**: Measure against agreed KPIs and tune performance and cost.
6. **Manage**: Monitoring, support and a monthly review with an account manager.

## Pricing and next step
Bedre does not publish prices. A consultant agrees scope and price in a written quote after discovery.
Contact: https://bedreweb.com/contact?topic=Generative%20AI%20%26%20LLM%20Solutions