Forward Deployed AI Engineers Who Take Your AI From Pilot to Production
Our engineers work inside your team, on your data, systems and security rules, to build AI that runs in production. We support organisations across Australia, Singapore, the Philippines and India, on-site, remotely or in a hybrid model.
One Accountable Team
From Discovery to Production
Built in Your Environment,
Under Your Security Controls
Full Microsoft AI Stack
Foundry, Copilot Studio
Engineers Beside You Not Slide Decks
Many AI pilots look good in a demo and then stall. The model works, but connecting it to old systems, messy data, access rules and real users takes engineering time most teams don’t have. Our forward deployed AI engineers close that gap. They join your team, learn how the work actually gets done, and write production code against your real data and systems. The same people who scope the problem stay with it through testing, go-live and early tuning, so nothing gets lost in a handover.
Microsoft Partner
Outcome Ownership
Our engineers are measured on whether the system works in production, not on reports delivered.
Real Data, Real Systems
We build against your actual data, applications and access rules from the first week.
Security and Governance Built In
Identity, data protection, evaluation and monitoring are part of the build, not an afterthought.
Fewer Handovers
One team carries the work from discovery to live use, so context isn’t lost between phases.
Your Team Stays Capable
Pairing, documentation and runbooks leave your people able to run and extend the solution.
Core Offerings: Forward Deployed AI Engineering Services
Each engagement puts engineers inside your delivery team with a clear outcome to reach and a plan to hand it back to your people.
Workflow Discovery & Outcome Definition
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Embedded AI Build
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Production Hardening
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Go-Live & Early Tuning
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Handover & Capability Uplift
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We sit with the people who do the work, map the process and its data, and agree one measurable outcome and the success checks before any code is written. This keeps the work focused on value rather than features.
Our engineers build agents, retrieval and integrations on Microsoft Foundry, Microsoft Agent Framework or Copilot Studio, connected to your line-of-business systems and data. Code lives in your repositories and runs in your Azure tenant from day one.
We set up Microsoft Entra identities, least-privilege access, Microsoft Purview data protection, evaluations, tracing and cost limits so the system is safe to run at scale and passes your security review.
We deploy into your environment, watch real usage, fix what breaks and tune prompts, retrieval and workflows until the agreed outcome is met, then report results against the original success checks.
Your team gets architecture records, runbooks and hands-on pairing, so they can operate the solution confidently, with optional ongoing support through our managed services.
Talk to Our Experts
Business Outcomes Enabled
Pilots That Reach Production
Stalled AI projects finally get the engineering effort they need to go live.
Faster Time to Value
One embedded team removes the delays caused by hand-offs between vendors, teams and project phases.
Lower Delivery Risk
Security, governance and cost controls are built in from the first release.
Measurable Results
Each engagement is judged against a business outcome agreed with your leaders at the start.
Lasting In-House Capability
Your engineers learn the patterns and can extend the solution themselves.
Pilots That Reach Production
Stalled AI projects finally get the engineering effort they need to go live.
Faster Time to Value
One embedded team removes the delays caused by hand-offs between vendors, teams and project phases.
Lower Delivery Risk
Security, governance and cost controls are built in from the first release.
Measurable Results
Each engagement is judged against a business outcome agreed with your leaders at the start.
Lasting In-House Capability
Your engineers learn the patterns and can extend the solution themselves.
Ready to Get Your AI Into Production?
Tell us about the pilot that’s stuck or the process you want to change. We’ll show you how an embedded team would approach it, what outcome to aim for and what it would take to get there.
Partner Ecosystem
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Learn moreA forward deployed engineer (FDE) is a software engineer who works inside a customer’s team and environment rather than from a distance. They learn the business process, write production code against the customer’s real data and systems, and stay accountable for the result after go-live. The term started at Palantir and is now used widely across AI providers.
Consulting usually ends with recommendations, and staff augmentation adds people who take direction. Forward deployed engineers own an agreed outcome. They scope the problem, build the solution, take it to production and tune it with your team. Accountability sits with the result, not with hours delivered or documents produced.
It suits organisations with a clear AI use case that has stalled between pilot and production, often because of system integration, data quality, security approval or limited internal engineering capacity. If you are still choosing where to start, our AI Readiness Assessment or AI Proof of Concept is usually the better first step.
Handover is planned from day one. We pair with your engineers, document architecture decisions, write runbooks and build inside your own environment and repositories. By the end, your team can run and extend the solution. If you want ongoing help, our managed services can take over day-to-day operation instead.
We mainly build on Microsoft technology: Microsoft Foundry and Microsoft Agent Framework for custom agents, Copilot Studio for low-code agents, Azure AI Search for retrieval, and GitHub Copilot for engineering. Identity and data protection use Microsoft Entra and Microsoft Purview. Model choice depends on your use case, cost and data location needs.
They describe the same way of working. Forward deployed engineering is the industry term for engineers embedded with customers to deliver production AI. Frontier Transformation Engineering is Microsoft’s term for partner engineers skilled to deliver governed AI across its full stack. Our engagements follow both, using Microsoft’s delivery patterns.
Yes. We support organisations across Australia, including Sydney, Melbourne, Adelaide and Wollongong. Engineers can work on-site, remotely or in a hybrid pattern, backed by our wider AI engineering team. The working model is agreed during scoping so it fits your security requirements, team rhythm and location.
Yes, in most cases. We build in your own Azure tenant and can use Australian Azure regions where the chosen models and services are available there. Data handling is designed with the Privacy Act 1988 and the Australian Privacy Principles in mind. Final compliance depends on your environment and legal advice.
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