Kizzy Consulting FDE Services

Hire Forward Deployed Engineers (FDE) to Move Your AI from Prototype to Production.

Don't let your AI adoption stall. Embed Kizzy's Forward Deployed Engineers (FDEs) directly into your technical teams to architect, code, and deploy complex AI, Agentforce, and SaaS integrations faster.

Book an AI Implementation Call → See our FDE engagement model ↓
✓ Certified Salesforce Partners
✓ AWS/Azure/Google Cloud
✓ OpenAI & Anthropic Stack
Foundational AI Models/SaaS OpenAI, Agentforce, LangChain
Enterprise Infrastructure Security, VPCs, Databases
Your Kizzy FDE
Bridging the Gap
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Embedded Execution

Deploying models into secure enterprise infrastructure.

ArchitectThreat modeling & data
IntegrateCustom APIs & RAG
HardenUAT & tracking
DeployCI/CD & Handover
120+Project Delivered
50+AI Agents Built
98%Client Satisfaction
Certified Salesforce Partners & Enterprise Tech Stack
Salesforce Salesforce AWS AWS Microsoft Azure Azure Google Cloud Google Cloud OpenAI OpenAI Anthropic Anthropic
The AI Bottleneck

Enterprise AI Deployment Company Insights: Why 80% of Projects Fail

Building AI is easy; integrating it securely is hard. Projects stall due to these three pillars of failure:

01

Complex Integrations

Connecting AI to your existing systems can be difficult and time-consuming without specialized knowledge.

02

Security Concerns

Data privacy, RBAC, and SOC2 compliance halt deployments when standard RAG pipelines expose sensitive data.

03

Skill Gap

Your team may have software or AI expertise, but not the combination needed to build and deploy enterprise AI.

The Solution

Meet Your Embedded AI Engineers: The Kizzy FDE Advantage

A Kizzy FDE isn't a traditional consultant who hands you a slide deck, nor a backend engineer who waits for perfect Jira tickets. They are elite hybrid engineers who work alongside your team, build production-ready solutions, connect your data and systems, and take ownership of the technical outcome.

✓
Consultative EngineeringWe manage stakeholders, gather requirements, and build the solution. Instead of playing "telephone" between product managers and developers, we work directly with your team to understand the problem, define what needs to be built, and deliver the working solution.
✓
Embedded ExecutionWe work inside your repos, alongside your teams, and communicate natively in your Slack channels.
✓
Full-Stack AI & SaaSDeep expertise spanning LangChain, LLMOps, Agentforce, and custom API gateways.
What We Build

Specialized AI Integration Consulting for Complex Workflows

Here are the specific technical problems our embedded engineering teams solve for the enterprise.

S

Enterprise System Integration

Deep, native integration of AI assistants into backend enterprise environments using event-driven architectures, modern API gateways, Headless integrations, and custom middleware.

Need Custom AI Integration?

Connect with our architectural team today to map out your enterprise deployment strategy and see how an FDE can accelerate your roadmap.

Contact Us →
The Engagement Model

From Discovery to Deployment in 90 Days | Hire FDE Teams

Visualize your rollout. Here is our concrete, step-by-step timeline for launching enterprise AI systems securely.

01

Phase 1: Discovery & Architecture (Days 1-15)

Threat modeling, data mapping, InfoSec approval, and drafting technical specs. We understand the problem, systems, and data to build the right solution.

02

Phase 2: Build & Integrate (Days 16-60)

Writing integration scripts, configuring APIs, setting up vector databases, and building the Minimum Viable Product (MVP).

03

Phase 3: UAT & Hardening (Days 61-75)

Load testing, hallucination tracking, prompt tuning, and user acceptance testing. Making the system fully reliable before going live.

04

Phase 4: Handover & Scale (Days 76-90)

CI/CD deployment, platform engineering handover, operational playbooks, and Day-2 support planning. We securely hand it to your team.

Let's map out your 90-day rollout →
Compare Your Options

Comparison Table: Kizzy FDEs vs. Alternatives

Help justify the purchase to your finance team by comparing the exact value delivered by a Kizzy Forward Deployed Engineer against traditional hiring models.

Feature Kizzy Forward Deployed Engineer Traditional IT Consultant In-House AI Hire
Primary Output Production Code & Working Systems Strategy & Best Practices Code & Internal Capacity
Time to Value Days/Weeks (Pre-trained on AI stack) Months 3-6 Months (Recruiting + Onboarding)
Tech Stack Focus Specialized (Agentic AI, Salesforce, RAG) Broad IT Expertise Varies heavily (Depends on the person you hire)
Business Acumen (Understanding) High (Client-facing problem solvers) High Typically Low/Moderate
Proof of Work

Enterprise AI Deployment Case Study: Real-World Proof of Work

We don't just advise; we build. Explore how embedded engineering accelerated AI integration in heavily operational environments.

Read the Full Case Study →

Real Estate AI Voice Agent Deployment

In this deployment, a specialized AI voice agent was built and integrated directly into existing workflows to manage inbound lead qualification, 24/7 property inquiries, and automated scheduling processes. By bridging cutting-edge conversational models securely with backend CRM infrastructure, our engineers transformed operational bottlenecks into an automated, highly-available asset.


Impact: Achieved production rollout with strict data privacy guidelines, reducing manual qualification time drastically while improving client response rates.

Buyer-Focused FAQs

Frequently Asked Questions About Forward Deployed Engineer Services

Clear the final objections. Get answers about security, workflows, and deployment processes.

A Forward Deployed Engineer is an elite hybrid software engineer and consultant who embeds directly with enterprise clients to customize, integrate, and deploy AI platforms. They bridge the gap between complex LLM architectures and tangible business ROI by writing production code and owning technical outcomes.
Yes. Kizzy FDEs frequently pair-program with internal engineering teams. We help establish architectural frameworks, design operational playbooks, and upskill your existing developers on agentic AI workflows, LLMOps, RAG pipelines, and modern integration protocols.
We strictly adhere to SOC2 and HIPAA compliance standards to ensure your data is protected. Our integrations involve running models on private clouds or VPCs and utilizing secure Model Context Protocol (MCP) setups to prevent the exposure of sensitive data during operations.
Both. We can take complete ownership of a project as an external FDE team, or pair-program alongside your internal engineers to upskill them and share domain knowledge directly within your workflows.
Build With Kizzy

Hire FDE Specialists Today: Ready to Build What Matters?

Don't spend months trying to hire the perfect AI engineer. Tell us the technical problem you're struggling with, and Kizzy can bring experienced FDE's into your team to help solve it.

SOC2 & InfoSec Compliant
Deep Salesforce & Agentforce Expertise
Code Owned By You

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