Google Cloud
Google Cloud consulting for BigQuery, Vertex AI and automation
Our Google Cloud consulting helps data, IT and operations teams use GCP for what it does best: fast analytics in BigQuery, AI with Vertex AI and Gemini, and serverless automation that connects the rest of the business. We build pipelines, AI agents and workflows inside your Google Cloud project, quote a fixed price after a free review, and hand over code and documentation your team owns.
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Quick answer
What does a Google Cloud consultant do?
A Google Cloud consultant builds solutions on GCP, such as BigQuery data pipelines, Vertex AI and Gemini applications, and serverless automations with Cloud Run and Workflows. Good consulting also covers cost control, security and governance, and hands over infrastructure as code so your team can run and extend everything afterward.
- BigQuery is serverless, so cost control comes from partitioning, clustering and good modeling.
- Vertex AI builds governed Gemini features into your own processes and applications.
- Gemini in Workspace covers personal productivity; Vertex AI covers shared business workflows.
- Fixed quote after a free review, with staged delivery over 2-8 weeks.
01
What Google Cloud consulting covers
Our work on Google Cloud is about data and AI, not general infrastructure. We do not run your Kubernetes clusters or migrate your data center. We build the pipelines, models and automations that sit on top of BigQuery and Vertex AI and make the data useful to people across the business.
Typical starting points are a reporting process that depends on spreadsheets, a backlog of documents someone reads and keys in by hand, or a team that wants Gemini answering questions from internal content without sending it to a public chatbot.
- BigQuery data warehouse design, ingestion and cost control
- Vertex AI and Gemini applications, including retrieval and agents
- Serverless automation with Cloud Run, Cloud Run functions, Workflows and Pub/Sub
- Document AI extraction for invoices, forms and contracts
- Looker and Looker Studio dashboards on BigQuery
02
BigQuery consultant services
A BigQuery consultant earns their fee in two places: getting data in reliably and keeping query costs predictable. We load data from ERP systems, Salesforce, HubSpot, Google Ads, GA4 and SaaS APIs using BigQuery Data Transfer Service, Datastream, Dataflow or scheduled Cloud Run jobs, depending on volume and freshness needs.
Inside BigQuery we model data into clean layers, often with dbt or Dataform, and apply partitioning, clustering and reservations or on-demand limits so costs stay under control. Column-level and row-level security, plus authorized views, keep sensitive fields restricted to the right groups.
WHAT WE BUILD
What we automate
Typical automations, each scoped and quoted at a fixed price after a free review.
SaaS and ERP data into BigQuery
Scheduled Cloud Run jobs and Data Transfer Service pull CRM, ERP and ad platform data into BigQuery, with tests that flag missing or late loads.
Grounded internal assistant
A Vertex AI app answers staff questions from policies, manuals and contracts with citations, available in Google Chat, Slack or a web page.
Document AI intake
Invoices and forms uploaded to Cloud Storage are parsed with Document AI, checked against rules, and written to BigQuery or your ERP.
Event-driven workflows
Pub/Sub messages trigger Cloud Workflows that call APIs, run Gemini summaries and post results to Sheets, Salesforce or a ticketing tool.
Natural language data questions
Managers ask plain-language questions of curated BigQuery tables through Gemini, limited to the datasets they are allowed to see.
Cost and pipeline alerts
Cloud Monitoring and budget alerts notify the owning team when a pipeline fails or BigQuery spend crosses a set threshold.
03
Vertex AI and Gemini for business
Vertex AI is Google Cloud's platform for building with Gemini and other models under your project's IAM, logging and data controls. We use it to build assistants that search your Drive, SharePoint or website content with grounding and citations, and agents that call internal APIs to look up orders, update records or draft replies.
Gemini for business also shows up in Google Workspace, where it helps people write in Docs and Gmail and summarize in Meet. That covers individual productivity. Vertex AI is where you build shared, governed AI features into your own processes, and that is where we focus. We also connect Gemini to BigQuery so analysts can ask questions of curated data in plain language.
04
Working with a GCP consultant in an enterprise
A GCP consultant in a larger company has to fit the organization's policies, folders and network controls. We deploy with Terraform into the projects you assign, use service accounts with least privilege, store secrets in Secret Manager, and respect VPC Service Controls where you have them.
Access runs through Cloud Identity or your existing SSO. Cloud Logging and Cloud Audit Logs record what happened and who triggered it, which helps with audit and incident review. We answer vendor security questionnaires directly and work within your change control.
- Infrastructure as code reviewed in your repository
- Separate dev and production projects
- Data governance with Dataplex catalogs and BigQuery policy tags where needed
- Runbooks and handover sessions for your internal team
05
Google Cloud vs AWS vs Azure for data and AI
Google Cloud is a strong choice when analytics is central. BigQuery is serverless, so there is no cluster to size, and Vertex AI gives direct access to Gemini models. It also fits naturally for companies on Google Workspace or heavy users of Google Ads and GA4.
AWS offers a broad serverless toolkit and multiple model providers through Bedrock. Azure suits Microsoft 365 and Dynamics shops with Azure OpenAI and Microsoft Fabric. If you already run one cloud, we usually build there rather than add another.
06
What Google Cloud consulting costs
We quote a fixed price after a free review. The main drivers are the number of sources, data volume, the AI use case and your security and approval requirements. A single pipeline or AI workflow typically ships in 2-4 weeks, and larger data platform work is delivered in stages over 4-8 weeks.
Google Cloud usage is billed to your billing account by Google. We estimate BigQuery and Vertex AI costs during design and set budgets and alerts. As one example from our case studies, a European procurement firm working on nuclear infrastructure saved about 30 hours a month with a supplier intelligence tool that combined automated data collection with AI summaries.
TOOLS
Tools we connect
FAQ
Google Cloud Consulting questions
What does a Google Cloud consultant do?
A Google Cloud consultant designs and builds solutions on GCP. Our focus is data and AI: BigQuery pipelines and models, Vertex AI and Gemini applications, and serverless automations. We do not provide general hosting or infrastructure management.
How much does Google Cloud consulting cost?
We quote a fixed price after a free review instead of billing hourly. Cost depends on data sources, volume and the AI use case. Google Cloud usage is billed separately to your account.
What is the difference between Gemini in Workspace and Vertex AI?
Gemini in Google Workspace helps individuals write, summarize and search inside Gmail, Docs and Meet. Vertex AI is the developer platform for building Gemini into your own applications, agents and data workflows with your own controls. Many companies use both.
Can you reduce our BigQuery costs?
Often, yes. High BigQuery bills usually come from unpartitioned tables, full table scans or dashboards that query raw data. We review usage, add partitioning and clustering, build summary tables, and set quotas or reservations where they make sense.
Is our data used to train Google's models?
Google states that customer data in Vertex AI is not used to train its foundation models without permission. Your security team should still review the terms and configuration, and we document the data flows to support that review.
Do you work with our existing GCP setup?
Yes. We deploy into projects you assign, follow your organization policies and naming standards, and use Terraform so your team can review and maintain everything after handover.
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GET A FREE PROPOSAL
Tell us what you want automated
Describe the process that eats your team's week. We reply within one business day with a first take on what can be automated, which tools fit and roughly what it would cost.
- Free 30-minute automation review
- Fixed quote before any work starts
- You own every workflow, account and line of code