Gen AI Proof of Concept Development
Cloudtech · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
**What's Included**
**AI Ideation Workshop (if needed)**
Show the rest of the publisher’s description (21 more lines)
Not sure what to build? We start there. A senior AWS Solutions Architect facilitates a working session with your team to identify the highest-value GenAI opportunity in your business whether that's document processing, customer support automation, internal knowledge search, or something else entirely. No idea is too early.
**Use Case Scoping & Success Metrics**
We define the problem, map the relevant workflows, identify the data sources, and establish clear success criteria before a single line of code is written. This is where most GenAI projects fail, we make sure yours doesn't.
**Rapid Prototype Development**
Our engineers build a working GenAI prototype directly in your AWS environment using Amazon Bedrock (Claude, Titan, or Llama), connected to your actual data and integrated with your existing systems. No sandbox demos. No off-the-shelf templates. A real prototype solving a real problem.
**Validation with Real-World Data**
We test the prototype against your actual data and workflows measuring accuracy, performance, and business impact against the success metrics defined in Week 1. You see what works, what doesn't, and why.
**Production Roadmap & Executive Readout**
We close with a full presentation of results, a documented production roadmap, and clear cost projections for scaling the solution. You leave with a working prototype, a business case, and a blueprint for what comes next.
**Who This Is For**
This engagement is built for small and medium-sized businesses that:
- Know GenAI is relevant to their business but haven't found a clear, low-risk way to start
- Want to validate a specific use case before committing to a full implementation
- Have explored tools like ChatGPT or generic SaaS AI but need something tied to their own data and workflows
- Need to build a business case internally before securing budget for a larger initiative
**What This Means for You**
- Get clarity on exactly where GenAI fits in your business and where it doesn't
- Validate real impact in weeks, not months, with a working prototype your team can see and use.
- Build a compelling internal business case backed by AWS-funded evidence
Walk away with a production roadmap and the confidence to scale
Trusted by forward-thinking SMBs across industries, including vWise, Ascend, Monster Reservation Group and CareHarmony.
Highlights
Highlighted by the publisher on AWS Marketplace.
AWS-funded, low-risk entry: most GenAI POCs qualify for AWS funding that covers up to $25,000 of the engagement cost, meaning you validate real business impact with little to no upfront investment.
A working prototype in 4 weeks, built in your environment: we don't demo generic tools. We build a tailored GenAI solution on Amazon Bedrock using your data, your workflows, and your AWS account, so results are real, and ownership is yours.
From POC to production, not back to the drawing board: every prototype we deliver is architected to scale. You leave with a working solution, a production roadmap, and a business case ready for your next conversation with leadership.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

