Forward deployed engineering for enterprise AI

Hire Forward Deployed Engineers to take your AI into production

A forward deployed engineer (FDE) is a senior AI engineer who works inside your organisation to build and deploy AI systems on your real data and workflows. e-KHOOL FDEs embed with your team, deploy AIRA, e-KHOOL's enterprise AI agent platform, in your environment, and stay accountable until it runs in production.

Monitor AI deployment, agent performance, usage and rollout status

AI implementations delivered for

Entirety Technologies case studyGeneral Technologies case studyTria PLC case studyTaashee case studyCodeRepo case study

What does a forward deployed engineer do?

An FDE sits between your business teams and the AI platform. They find the workflows worth automating, connect AI to your systems and data, build and test the agents, and hand over a system your team can run. Unlike a consultant, an FDE writes and ships the code.

  • Works on-site, remote or hybrid as part of your team
  • Builds on AIRA, inside your cloud or on-premise servers
  • Measured on agents running in production, not on reports
Visual overview of FDE roles, enterprise integration and AI implementation workflows.

FDE vs in-house build vs AI consultant

Three common ways to get AI into production, and where each one ends.

Comparison of an in-house build, an AI consultant and an e-KHOOL forward deployed engineer
Compared on In-house build AI consultant e-KHOOL FDE
Who builds it Your team, alongside other priorities Nobody — advice and slides An engineer embedded with your team
Platform Assembled from separate tools Recommended, not set up AIRA, ready on day one
Where it runs Wherever your team can host it Not in scope Your cloud or on-premise servers
AI running cost Default settings Estimated Tuned for the lowest viable token cost
Accountability Shared and unclear Ends with the report Ends when it works in production
Knowledge transfer Stays with whoever built it Documents only Training, runbooks and handover

What your FDE delivers

One engineer, accountable for the full path from idea to a working AI system your team can run.

Private AI deployment

Install AIRA on your cloud or on-premise servers so your data stays under your control.

AI agents for your workflows

Build agents for support, HR, sales, operations and document-heavy processes.

Data and system integration

Connect AI to your CRM, ERP, databases, document stores and identity systems.

Token cost optimisation

Tune prompts, caching and model routing so every workflow runs at the lowest viable cost.

Security and governance

Set up access control, audit trails and data rules to your GDPR and ISO 27001 requirements.

Team enablement

Train your engineers and admins, document everything and hand over a system your team owns.

What FDEs build across your business

Typical first workflows, chosen with your teams during discovery.

Customer and sales

Agents that answer, qualify and follow up.

Support agentLead qualificationAccount briefsOrder tracking

Finance and HR

Agents that handle requests and paperwork.

Invoice processingExpense checksPolicy assistantLeave requests

Operations

Agents that move work between systems.

Ticket triageForm processingSupplier updatesReporting

Knowledge and IT

Agents that find answers and act on them.

Document searchContract reviewIT helpdeskOnboarding

Choose how you work with your FDE

Start small and prove value, or embed engineers for a full rollout.

About 1 month

Launch Sprint

One FDE scopes, builds and ships your first AI workflow in production.

Best for: proving value fast

Start a sprint
Multi-month

Embedded FDE

An FDE joins your team to roll out AI agents across departments, scoped to your rollout.

Best for: organisation-wide rollouts

Embed an FDE
Ongoing

Dedicated FDE Pod

A lead FDE plus engineers for multi-region or multi-entity programmes.

Best for: enterprises and public sector

Plan a pod

Pricing is tailored to scope. Connect with us for customised pricing

How hiring an FDE works

From first call to a live AI workflow in about 1 month, depending on the use case.

  1. 01

    Scoping call

    A 45-minute call to understand your goals, systems and constraints.

    Week 1

  2. 02

    Discovery in your stack

    Your FDE maps workflows, data sources and security requirements.

    Week 1

  3. 03

    Build and deploy

    Weekly demos as agents and integrations go live in your environment.

    Weeks 2–4

  4. 04

    Handover and support

    Documentation, team training and an agreed support window.

    Handover

What you keep when your FDE hands over

Everything your team needs to run, change and grow the system without us.

  • AI agents running in production
  • Runbooks and technical documentation
  • Admin and developer training
  • Monitoring and cost dashboards
  • Security and access configuration
  • A backlog of the next workflows to automate

Engineers backed by a platform and a track record

60+

Countries where e-KHOOL works with partners and clients

35%

Lower AI workflow cost for Tria PLC after optimisation

~1 month

Typical time to a first live AI workflow

ISO 27001

Certified information security, plus ISO 9001:2015

Forward deployed engineer FAQs

What is a forward deployed engineer?

A forward deployed engineer is a software engineer who works directly inside a customer's organisation to build and deploy technology on their real data and systems, rather than from a central product team.

What is the difference between an FDE and an AI consultant?

A consultant advises and recommends. An FDE builds, deploys and stays accountable for the system in production.

Where does an e-KHOOL FDE work?

On-site, remote or hybrid, agreed with you during the scoping call.

Can our data stay on our own servers?

Yes. Your FDE can deploy AIRA privately on your servers or your own cloud account.

Do FDEs work with the AI models we already use?

Yes. AIRA works with widely used commercial and open-weight models, plus e-KHOOL's own models.

How much does it cost to hire an FDE?

It depends on the engagement model and scope. We give a customised quote after the scoping call.

How quickly can an FDE start?

Usually within one week of the scoping call.

What happens after handover?

You get an agreed support window and can extend your FDE or move to a Dedicated FDE Pod at any time.

Hire a forward deployed engineer

Tell us what you want to build. A solutions lead will reply within 1 business day to book your scoping call.

  • No obligation scoping call
  • Customised pricing for your scope
  • Or email sales@ekhool.com

Fields marked * are required.

Put an engineer on your AI roadmap this month

Your FDE brings AIRA, private deployment and cost optimisation into one accountable engagement.