AI SERVICES
Generative AI on AWS, from a four-week POC to production.
Document intelligence, AI agents, and back-office automation, built on Amazon Bedrock.
WHY MOST GENAI PROJECTS FAIL
Most GenAI projects end at the demo. We build the ones that don't.
POCs that never scale
A working demo is not a working system. Most GenAI pilots stall between the model doing it and the business running on it.
Hallucinations that wreck trust
Foundation models invent answers when grounding is missing. One made-up invoice number, and the team loses faith.
Use cases that never had ROI
"Let's use GenAI" is not a project. Most failed deployments started with no baseline and no target.
Four ways to deploy Generative AI.
GenAI POC (4-week pilot)
A low-risk pilot to validate your AI use case and ship a working demo in four weeks. Fixed price, fixed timeline.
Best for: Teams testing their first GenAI use case
Intelligent Document Processing
Automate invoices, contracts, claims, and forms using Amazon Textract, Comprehend, and Bedrock.
Best for: Operations teams drowning in document workflows
AI Insights with Amazon Q
Conversational analytics across your data. Ask questions in plain English, get answers from your BI platforms and dashboards.
Best for: Leadership teams who need answers without writing SQL
GenAI Strategy Workshop (1 day)
A one-day workshop to identify your highest-leverage GenAI use cases, map the reference architecture, and deliver a prioritized roadmap.
Best for: Leadership teams who need a GenAI plan, not yet a build
Generative AI on AWS, with open standards underneath.
Amazon Bedrock
Foundation model reasoning (Claude, Nova, Llama)
Amazon Q Business
Conversational analytics across your data
Amazon Textract + Comprehend
Document understanding and classification
Kendra / OpenSearch
Retrieval and vector storage
AWS Lambda
Serverless integration with your CRM, EHR, or product
MCP
Open standard for model and tool integration
Four weeks to a working POC.
Deliver
It’s not just about having the latest tech; it’s about leveraging it intelligently to maximize your cloud ROI and drive your business forward.
Deliver
It’s not just about having the latest tech; it’s about leveraging it intelligently to maximize your cloud ROI and drive your business forward.
Deliver
It’s not just about having the latest tech; it’s about leveraging it intelligently to maximize your cloud ROI and drive your business forward.
Our process follows 5 simple stages
Free consultation
30 minutes with a senior engineer who scopes your use case and validates ROI.
Fixed proposal
Within five days. Fixed price, fixed timeline. No time-and-materials.
Build
Four weeks for a POC, four to eight weeks for production. Weekly demos with real outputs.
Production and tuning
Live deployment with weekly evaluation cycles.
Generative AI, answered.
How do we prevent the AI from hallucinating?
By treating hallucination as a system design problem, not a model problem. Cloudtech GenAI deployments only generate from retrieved sources, with explicit "I don't know" behavior when sources don't cover the question. Production outputs are reviewed continuously to catch drift before it reaches the business.
What does a GenAI engagement cost?
Cloudtech engagements are fixed-price, scoped per use case after a free 30-minute consultation. The four-week POC has a fixed price and timeline. Production deployments are scoped per use case, with proposals within five days.
Can the GenAI integrate with our existing systems?
Yes. Cloudtech GenAI deployments integrate with CRMs (Salesforce, HubSpot), ERPs, DMS, helpdesks (Zendesk, Intercom), and custom internal tools through AWS Lambda or direct API integration.
Let's bring GenAI to work, properly.
A 30-minute consultation with a senior engineer. We will pick the use case with real ROI, map a four-week POC, and tell you if we are the right fit.