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AI FDE / EMBEDDED WITH YOUR TEAM

AI Forward Deployment
Engineering.

Close to your business. Hands-on with your technology. Ensar engineers work with your team to take AI from a promising idea to a solution people can use.

Discuss your AI project

WHAT FORWARD DEPLOYMENT MEANS

Closer to the problem.
Accountable for delivery.

Forward Deployment Engineering connects business understanding with hands-on software delivery. Engineers work directly with the people who know the workflow, then build, test, and integrate the solution in its real operating environment.

One delivery team, from discovery to adoption.

  • Start with a defined business problem and measurable acceptance criteria.
  • Iterate with users and your engineering team throughout delivery.
  • Build within your data, security, and operational requirements.
  • Leave your team with maintainable code, documentation, and ownership.

FROM USE CASE TO WORKING SOFTWARE

Applied AI.
End-to-end engineering.

Bring the right capabilities together around a specific workflow, rather than treating AI as a standalone experiment.

Embedded discovery

Work alongside business users and technical teams to understand the workflow, map data dependencies, and define what a useful outcome looks like.

Agentic AI & automation

Build assistants and agent workflows connected to your tools, with clear permissions, human approval for consequential actions, and traceable execution.

RAG & document intelligence

Connect AI to approved enterprise knowledge. Extract information from documents and build retrieval experiences with source references and access controls.

Spec-driven development

Translate business requirements into clear specifications, acceptance criteria, and testable implementation tasks. Keep AI-assisted development grounded in agreed requirements.

Integration & deployment

Connect AI features to existing applications, APIs, and cloud environments. Build delivery pipelines, monitoring, and rollback paths for production operation.

Evaluation & adoption

Test representative workflows for quality, reliability, latency, and cost. Gather user feedback, refine the experience, and prepare your team to own it.

THE DELIVERY JOURNEY

Build with users.
Release with confidence.

Each stage ends with something your team can review, test, or operate. Scope and pace are agreed around your needs.

  1. 01

    Discover

    Choose a focused business workflow, understand the people using it, and agree on scope, constraints, and success measures.

    DELIVERABLEWorkflow map and delivery brief
  2. 02

    Build & validate

    Prototype with approved data, review the experience with users, and evaluate outputs against representative examples.

    DELIVERABLEWorking prototype and evaluation baseline
  3. 03

    Integrate & deploy

    Add application integrations, access controls, automated checks, observability, and a release plan before rollout.

    DELIVERABLEIntegrated release and operating runbook
  4. 04

    Improve & transfer

    Observe real-world use, address failure patterns, train the team, and transfer the code, documentation, and operational knowledge.

    DELIVERABLEAdoption plan and engineering handover

A PRACTICAL STARTING POINT

Bring one workflow.
Build a clear path forward.

Start with a focused discovery or pilot, embed engineers into an existing delivery team, or carry a validated solution through integration and rollout.

Talk to Ensar

Define the engagement together

  • The workflow and people it serves
  • Available data and integration points
  • Security boundaries and review responsibilities
  • Quality measures and release criteria
  • Delivery ownership and ongoing support
Want to join as an AI FDE?

YOUR NEXT CHAPTER STARTS HERE

Let’s make
what’s next happen.

Talk to our team

UNITED STATES

Chicago area

2300 Cabot Dr, Suite 100
Lisle, IL 60532

INDIA

Hyderabad

Gowra Fountainhead, Unit 405
Madhapur, Hi-tech City
Hyderabad, Telangana 500081

sales@ensarsolutions.com