
Google Gemini AI Engineering for Scalable Businesses
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About this service
Summary
FAQs
What types of businesses is this service best suited for?
This service is ideal for growing businesses, teams, and enterprises that want to replace manual processes, improve decision-making, or launch AI-powered products using Google’s AI stack without building an internal AI team.
Do you build production systems or just prototypes?
All solutions are designed for real-world use, with production deployment, security considerations, and scalability in mind—prototypes are only created when they serve a clear business validation goal.
Can Gemini integrate with our existing tools and systems?
Yes. Gemini-powered systems can integrate with CRMs, databases, internal tools, APIs, cloud services, and custom software already used by your organization.
How long does a typical engagement take?
Most engagements run between 4–12 weeks, depending on complexity, number of systems, and level of integration required.
How is pricing structured engagements?
Pricing is typically project-based or milestone-based, depending on scope and complexity, with most engagements ranging from mid–five figures to six figures for enterprise systems.
Do you require an upfront payment to begin work?
Yes. A standard engagement begins with an upfront deposit of 50 percent to secure capacity and initiate discovery, architecture, and system design.
Are payment plans or milestone payments available?
Yes. For larger projects, payments can be split across defined milestones tied to deliverables, providing transparency and alignment throughout the engagement.
Do you offer ongoing retainers or post-launch support?
Yes. Ongoing optimization, maintenance, and system expansion are available via monthly retainers or support agreements after initial delivery.
What's included
Gemini AI Agents for Business Functions
Custom AI agents powered by Google Gemini(Gems) are deployed to handle support, intake, research, scheduling, and internal operations, eliminating repetitive manual work and reducing operational workload by 30–60% while improving speed and consistency.
Centralized AI Knowledge Systems for Faster Decisions
Internal documents, databases, and tools are unified into a secure Notebook LM-driven knowledge layer that delivers instant, accurate answers, cutting information search time from hours to seconds and enabling faster, more confident decision-making across teams.
AI Web & Mobile Applications on Google Stack
Full-stack applications are engineered using Gemini’s multimodal capabilities to understand text, documents, images, and structured data in one experience, allowing businesses to launch smarter products faster, replace legacy software, and unlock new revenue opportunities.
End-to-End AI Automations Without Added Headcount
Critical workflows are automated by integrating with existing CRMs, forms, email systems, APIs, and dashboards, enabling operations to scale continuously with fewer errors, lower costs, and no additional staffing requirements.
On-Brand AI Content & Marketing Systems (Google Pomelli)
Marketing Campaigns are built with Gemini's marketing and creative AI stack (including Google Pomelli) to generate, optimize, and distribute on-brand content across web, email, and social channels, increasing content velocity, brand consistency, and measurable engagement without expanding marketing teams.