Generative AI consulting
and custom development.Build custom AI solutions that fit your business.
Many organizations require more than out-of-the-box features. Suitebriar helps you design and build AI-powered workflows, agentic processes and custom applications leveraging Google Cloud's AI stack.
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What does generative AI consulting include?
Generative AI consulting covers choosing which work to build AI for, then designing and building it: agents, chat interfaces, document processing and automated workflows that connect to the systems you already run.
Packaged products now cover a lot of this, so a custom build earns its cost when the work depends on your own systems or rules, such as reading your contract formats or writing back to your ERP.
Examples of what we build
Custom AI agents and chat interfaces
Assistants that answer from your own documents and data, for employees or for customers, built on the Gemini platform.
AI-driven document processing
Contracts, forms and invoices read, classified and routed to the right place or person.
Workflow automation with Gemini and AppSheet
Approval, request and intake flows that run on your Workspace data and hand work from one person to the next.
Business logic and integrations
Services on Cloud Run that apply your rules, call the Gemini platform and read from BigQuery, integrated with your CRM, ERP, HRIS and core systems.
Built on the Google AI stack
- Gemini platform
What happens to your data on the Gemini platform
Google won't use your data to train or fine-tune models without your permission. Two things do hold data for a while: Gemini models cache it in memory for up to 24 hours per project by default, which can be turned off, and grounding with Google Search or Maps stores prompts and output for 30 days, which can't. If a build handles sensitive data, turn caching off and leave Search grounding out.
From use case to production
- Pick one workflowChoose work with a clear owner and an output you can count, such as invoices processed or requests answered, so you can tell whether the build worked.
- Map the systems it touchesList every system the workflow reads from or writes to, and who may see what in each. Integrations and permissions are usually most of the work.
- Build and test on real casesBuild on Cloud Run, the Gemini platform or AppSheet and run it against real documents and requests before anyone relies on it.
