AWS-Funded Discovery & POC
Test a serious AI idea on your real Zoho data before committing budget. EFS can bring AWS funding to underwrite the discovery and proof-of-concept stages.
Prove the idea before you pay for it
Most companies stall on their first serious AI project for the same reason: nobody wants to spend real budget on something that hasn't been proven on their own data. So the idea sits on a slide, and the question never gets answered.
EFS holds one of AWS's rarest AI credentials — a dual generative and agentic AI competency carried by fewer than 65 partners worldwide. That standing isn't a badge for the wall; it comes with access. As an AWS AI competency partner, EFS can often draw on AWS partner programs that underwrite the discovery and proof-of-concept stages of a qualifying AI project — so you can test a serious idea on your real Zoho data, see whether it works, and decide on the full build with evidence in hand instead of a forecast.
The whole arc happens where your team already works. Zoho stays your front end and system of record; AWS provides the heavy AI engine behind it; EFS connects the two. Nothing gets ripped out, and your data of record never leaves Zoho's control.
Why EFS can bring AWS to the table
In March 2026, EFS was accepted into an elite AWS AI program — roughly 100 of AWS's 250,000+ partners — that routes both funding and joint opportunities to a short list of partners. Agentic competency is the harder of the two to earn: AWS doesn't hand these out, they're awarded through audited customer work. That standing is what lets EFS bring AWS resources, and often AWS dollars, alongside a Zoho engagement.
partners worldwide hold the dual AWS AI competency for generative and agentic AI
of 250,000+ AWS partners — an elite AWS AI program with access to funding and co-sell
Zoho implementations — we know both sides, so you don't pay us to learn either
Funding availability is determined by AWS and depends on each project qualifying; EFS does not control AWS program decisions.
From funded discovery to production — one path
A first project usually runs in stages. AWS funding is most relevant to the first two — the stages where you're still deciding whether the idea is worth the build. By the time real budget is on the line, you've already seen it work on your data.
Funded discovery
AWS can underwrite the initial assessment of your AI opportunity — we pin down the use case, map the data, and size the value, so the first step costs you little to nothing. You leave with a prioritized roadmap, timelines, and budget estimates.
Funded proof-of-concept
A working pilot built against your real Zoho data — not a generic demo — with the early-stage cost offset by AWS. It reflects your actual processes and Zoho configuration, so it feels authentic and answers the only question that matters: does this work here?
AWS co-sell behind the deal
AWS field teams and pipeline support engaged alongside EFS — not watching from the sidelines. In qualifying cases, AWS funding can extend into the build, and can even cover the Zoho components in the data flow.
Production-grade build
Systems engineered on Amazon Bedrock and Bedrock AgentCore with guardrails and governance from day one — not a throwaway prototype that stalls at the demo. Results flow back into Zoho, where your users already work.
Funded stages are subject to AWS program qualification and approval; scope and outcomes vary by environment.
What a funded POC actually looks like
Built on your real-world shape
The POC reflects your actual data, business processes, and Zoho setup — we apply deep specialty skills in simulation and data structures, not a throwaway prototype. When a stakeholder looks at it, they recognize their own business.
Governed from day one
Even at the pilot stage we build with guardrails, human oversight, and auditability around every model call — and the production AI runs on Amazon Bedrock and AgentCore. The path from POC to production doesn't require a rebuild.
Your data stays in Zoho
Connected via MCP — the standards-based bridge both Zoho and AWS now speak — your data of record never leaves the Zoho environment you trust. The POC reasons over prepared data and returns results into Zoho.
Fast turnaround
Production-grade patterns and reusable accelerators let us stand up a convincing, working POC quickly — so the decision window is short and momentum doesn't leak away.
Shortens the sales — and the buy-in — cycle
A rich POC lets your team and leadership experience the fully-adopted vision before committing real budget. It turns an abstract debate into a working thing people can react to.
Two experts, one engagement
EFS spans AI, cloud and DevOps, enterprise platforms (including Zoho), custom development, and managed services — under one roof. An AI project rarely lives alone; the same team that proves it can operate it afterward.
The funding levers behind the work
EFS's AWS standing connects to a set of programs that can underwrite different parts of the journey. Which apply depends on the project — we map them during discovery.
| Stage | What AWS can underwrite | Relevant program |
|---|---|---|
| Discovery | Initial assessment of the AI opportunity, use-case and data mapping | AI Partner Funding Program (APFP) |
| Proof-of-concept | A working pilot on your real Zoho data, early-stage cost offset | AI Partner Funding Program (APFP) |
| Co-sell | AWS field teams and pipeline support alongside the deal | AWS co-sell channels |
| Implementation & migration | Funding toward the build — in qualifying cases covering Zoho components in the data flow | Migration Acceleration Program (MAP), APFP |
| Run & optimize | Ongoing operation, monitoring, and architecture validation | AWS Managed Services, Well-Architected reviews |
Program eligibility, scope, and funding levels are determined by AWS and vary by engagement; EFS does not provide legal advice and does not guarantee AWS funding outcomes.
Proof it travels to production
A funded POC is only worth running if it leads somewhere real. These representative EFS engagements started exactly where yours would — a contained, provable idea — and went into governed production.
Confidence-gated AI in manufacturing
A mid-market manufacturer was processing EDI transactions manually — 25–40 minutes per record, an 8% secondary error rate, and 840+ staff hours a month. A confidence-gated AI agent on Amazon Bedrock turned that bottleneck into a governed, autonomous workflow.
Representative result: 840 hrs/month eliminated, error rate 8% → 0%.
100+ practices into Zoho
A national concierge-medicine group ran 100+ practices on two aging legacy systems. Over a phased program, EFS consolidated both into Zoho CRM with custom data engineering and direct EMR integration — every practice cut over with no major downtime.
Representative result: 100+ practices migrated, 2 systems → 1, zero major downtime.
AI on your Zoho data
Once the POC proves out, the same governed architecture — Bedrock, AgentCore, and Claude on Bedrock, connected by MCP — brings production AI to the data already living in your Zoho environment.
Representative EFS engagements; scope and outcomes vary by environment and use case. Healthcare engagements: PHI handling is configured per customer and EFS implements technical controls, but ultimate compliance responsibility rests with the customer; EFS does not provide legal advice.
Frequently asked questions
For qualifying AI projects, AWS partner programs can underwrite the initial assessment and the proof-of-concept, so those early stages cost you little to nothing. EFS can bring this to the table because it holds an elite AWS AI credential. Funding is decided by AWS and depends on the project meeting program criteria — we assess fit and apply on your behalf, but EFS does not control or guarantee AWS funding decisions.
EFS was accepted into an elite AWS AI program — roughly 100 of AWS's 250,000+ partners — and holds AWS's dual AI competency for both generative and agentic AI, a designation fewer than 65 partners worldwide carry. AWS routes funding and co-sell to that short list of partners. The credentials are earned through audited customer work, not handed out.
No. Zoho stays your front end and system of record. The POC is built against your real Zoho data, the AI runs on AWS, and results flow back into Zoho where your team already works. Connected via MCP, your data of record never leaves Zoho's control. Adoption is faster precisely because the experience still looks and feels like Zoho — it simply gets smarter.
That's the point of running it before you commit budget. Because the early stages can be funded and built on your real data, you get a clear, evidence-based answer at low cost — and if the idea isn't worth building, you've spent very little to find out. A POC that surfaces a hard truth early is a win, not a loss.
In qualifying cases, yes — AWS dollars can extend into implementation and migration through programs such as the Migration Acceleration Program (MAP) and the AI Partner Funding Program (APFP), and can even cover the Zoho components in the data flow. We map which programs apply during discovery. Eligibility and funding levels are determined by AWS.
We build with governance from the start. Amazon Bedrock is HIPAA-eligible under a signed AWS agreement, Zoho signs business-associate agreements per product, and EFS builds the compliant, region-matched architecture in between — with encryption in transit and at rest, minimum-necessary data flows, and immutable audit logging. PHI handling is configured per customer; EFS implements technical controls, but ultimate compliance responsibility rests with the customer, and EFS does not provide legal advice.
Let's talk about what you're building.
Our team brings over two decades of experience to every engagement. Tell us about your project and we'll show you what's possible.