Generative AI development services built on your own knowledge
Generative AI can draft, summarize, answer and analyze, but the value comes from pointing it at your work, your data and your rules. Our generative AI development services build custom tools on leading models, from internal assistants to drafting tools and features inside your products. Generative AI consulting comes first: we help you choose the use cases worth building, then prove them on real examples before scaling.
What generative AI development services include
Most generative AI projects fail for ordinary reasons: a vague goal, no way to measure quality or a tool that doesn’t fit how people work. We start with generative AI consulting to find tasks with a clear output, a measurable standard and enough volume to matter, such as drafting proposals, summarizing case files or answering staff questions from internal documents. Each use case is judged on how much time it could save, how easy it is to check the output and what could go wrong.
Custom GPT development can mean a configured assistant inside ChatGPT for your team, or a custom application built on models from providers such as OpenAI, Anthropic or Google through their APIs. We recommend the simplest option that meets your needs for quality, privacy and cost, and build it so you can switch models later.
Signs you are ready for generative AI
- Staff spend hours drafting similar documents
- Knowledge is buried in files and emails
- Teams use AI tools with no shared rules
- You want AI features in your product
- You need to know what AI could do for you
What our generative AI development services include
Strategy, building and testing, for tools your team will actually use.
Generative AI consulting
Use cases found and ranked by value, feasibility and risk, with a clear recommendation.
Custom GPT development
Assistants configured on your documents and instructions, for your team or your customers.
Custom applications
Tools built on leading models through APIs, with your branding, rules and integrations.
Retrieval on your data
Your documents organized so the model answers from your sources and cites them.
Evaluation
Test sets and quality checks that measure accuracy, tone and safety before launch.
Cost and monitoring
Usage, cost per task and quality tracked after launch, with alerts for problems.
Generative AI development services in depth
How we turn a promising demo into a tool that works every day.
Measure quality before launch
A demo that works on three examples can fail on the fourth. We build a test set of real tasks with agreed good answers, score every version of the tool against it and only launch when it meets the standard. The same tests catch problems when prompts, data or models change.
Choose the right model and setup
Larger models are more capable but cost more per task; smaller ones are faster and cheaper. Some tasks need your documents, others need structured outputs or tool use. We test options on your tasks and pick the setup that meets the quality bar at a sensible cost.
Privacy and control
Where your data goes depends on the provider, the plan and the hosting. We explain the options, use business plans and settings that suit your requirements and keep sensitive data out of tools that don’t need it. Every tool has clear rules about what it can and can’t do.
How our generative AI consulting and development works
Prove value on real work first, with a progress update every week.
- Step 01
Discover
Workshops to find and rank use cases, with success measures agreed.
- Step 02
Prototype
A working tool tested against real examples from your team.
- Step 03
Pilot
Used by a small group, with quality and time saved measured.
- Step 04
Launch and improve
Rolled out with training, monitoring and monthly reviews.
Why Griffon for generative AI development services
We build software as well as advise on it, so recommendations come with a working prototype, not just slides. The prototype runs on your real examples, so you can judge the quality yourself before deciding to go further.
We are honest about limits. If generative AI isn’t the right fix for a task, we say so and suggest what is.
Part of our AI development ↗2 hours
our usual reply to a new inquiry, one business day at most
Weekly
progress updates, plus a monthly report with the data and the work done
One team
strategy, design, development and marketing under one roof
You own it
the design, code and accounts are yours once the work is paid in full
Questions about generative AI development services, answered
What are generative AI development services?
They design, build and test tools that use generative AI models to draft, summarize, answer or analyze, tailored to your data, rules and workflows.
What is custom GPT development?
It can mean configuring an assistant inside ChatGPT with your instructions and files, or building a custom application on a model’s API. We help you choose the right approach. Configured assistants are quick to set up, while custom applications offer more control over data, integrations and cost.
What does generative AI consulting cover?
Finding and ranking use cases, assessing risks and costs, choosing models and setups, and planning a pilot with clear success measures.
Which AI models do you work with?
Models from the major providers, including OpenAI, Anthropic and Google, chosen for each task’s quality, speed, privacy and cost needs.
How do you stop the AI from making things up?
By grounding answers in your sources, testing against real tasks, limiting what the tool can answer and keeping a person in the loop for important outputs.
How much do generative AI development services cost?
It depends on the use case and integrations. We start with a consultation and a priced pilot, so you see results before committing further.
Get a free AI consultation
A 30-minute call. No deck, no pressure. Bring the site, the numbers and the goal, and leave with a plan and a price.