ARTIFICIAL INTELLIGENCE

Generative AI & LLM Development

FQMS Generative AI & LLM Development helps organizations design, build and integrate generative ai & llm development capabilities around real users, business rules, data and operational workflows.

LLM application architectureRetrieval-augmented generationPrompt and evaluation pipelines
Generative AI & LLM Development — professional business environment
AI DELIVERY FOCUSGenerative AI & LLM Development
MEASUREAutomation coverage
MEASUREResponse quality
MEASURECycle-time reduction
PRACTICAL AI SCOPE

Build Generative AI & LLM Development around a real business workflow.

FQMS connects the AI layer to the people, knowledge, data and applications that determine whether the solution is useful in day-to-day work.

LLM application architecture

Defined against the users, controls and information involved in your use case.

Retrieval-augmented generation

Defined against the users, controls and information involved in your use case.

Prompt and evaluation pipelines

Defined against the users, controls and information involved in your use case.

Private knowledge integration

Defined against the users, controls and information involved in your use case.

Safety and access controls

Defined against the users, controls and information involved in your use case.

Deployment and monitoring

Defined against the users, controls and information involved in your use case.

Generative AI & LLM Development workflow and operations
DELIVERY WORKFLOW

Move from AI idea to a controlled production workflow.

  1. 01

    Clarify the business use case, users, guardrails and measurable success criteria.

  2. 02

    Prepare the required knowledge, data sources, prompts, models and system connections.

  3. 03

    Build the AI workflow in controlled increments and validate it with representative scenarios.

  4. 04

    Deploy with monitoring, human review where needed and a plan for continuous improvement.

PROJECT FIT

Use AI where the operating case is clear.

FQMS delivers Generative AI & LLM Development around the actual users, systems, data, integrations, controls and acceptance criteria involved in your project. The scope is validated in practical milestones so stakeholders can review progress before production release.

Teams evaluating Generative AI & LLM Development for a defined business requirement
Organizations that need AI connected to existing applications, APIs and business data
Businesses that require controlled rollout, traceability and measurable outcomes
NEXT STEP

Scope Generative AI & LLM Development around your actual requirement.

Share the users, systems, data, integrations, constraints and target outcome. FQMS can use that context to define a practical delivery plan.

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