Forward Deployed Engineering
Ship your first production AI agent in four weeks
Our engineers build alongside your team, on your stack, with your data. At the end you own the agent, the architecture, and the roadmap for everything that comes next.
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Weeks from kickoff to production
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Faster time-to-market
Day 28
One
Production agent, built with your team
Trusted by teams running AI in production
How it works
Four weeks, from kickoff to production
A single focused engagement. Two weeks to build the agent, two weeks to tune it against live use and hand it over.
What you get
Six things you keep after we leave
Working software, the scaffolding around it, and a team that can extend both.
AI architecture
The blueprints for how AI fits into your systems: platform setup, integrations with key systems, and workflow engine connections configured for your stack.
When to use it
When Forward Deployed Engineering is the right call
Four weeks with an embedded team suits some situations better than others.
Kickstart a center of excellence
You want a CoE that can build without us. Your engineers and business owners work alongside ours for four weeks and come out with reusable components and the habits to keep going.
Deliver a priority use case fast
You have a use case that matters and cannot wait for a hiring round or a long transformation program. We ship it in four weeks, to the standard you would expect from a specialist team.
Handle complex requirements
Strict security or compliance constraints, on-prem deployment, or awkward data ingestion. You want senior AI engineers and architects on the problem from day one.
When something else fits better
If you already have the AI talent and want full control of the stack, build it yourself. If you need long-term delivery capacity, a systems integrator fits. If you want generic productivity gains, off-the-shelf tools are cheaper. Whichever route you continue with, we make the start work.
Example use cases
What teams have built with us
A few of the agents our engineers have built alongside customer teams.
Engineering companion for classified work
An assistant for engineers, running inside the customer sovereign environment on their own hosted models. Answers cite internal documentation, and every question is scoped to the right classification level.
A company brain
Built on everything a company has ever documented. It de-duplicates overlapping documents, flags where knowledge is missing, and keeps improving from the questions people ask and the gaps they hit.
Investor updates from news coverage
Ingests news coverage continuously and reads it against the portfolio, flagging developments that put specific holdings at risk and turning them into investor updates without an analyst reading every article.
Acquisition due diligence
Runs market assessment, synergy calculation and legal risk review on each target, and surfaces deal breakers early and cheaply, so the expensive full analysis only runs on the deals worth pursuing.
Social proof
Trusted by teams running AI in production
European banks, energy companies and professional services firms run real workloads on Orq.ai.
We chose Orq.ai to replace our internal setup with a production-ready AI Gateway that meets our governance, scalability, and cost-monitoring requirements.
Benjamin Kleppe,
GenAI Lead at bunq
With one gateway, teams get the visibility they need to manage AI usage before it becomes a surprise bill.
Platform leader,
Enterprise AI team
Trusted by teams running AI in production
FAQs
What teams ask us before a sprint
What is in scope, what is not, and what your team needs to bring.
What is Forward Deployed Engineering?
A four week engagement where our engineers work inside your team to ship one AI agent into production on your stack. You end up with working software running on real data, and the ability to extend it without us.
How long does it take?
Four weeks. Two weeks to build the agent, then two weeks to tune it against live use and hand it over. A second phase, if you want one, is typically two to three weeks, and most teams run it themselves.
Who do you send?
Two senior people. A Forward Deployed Engineer (Business) leads the project and bridges business and IT, prioritizing use cases, agreeing requirements with your steering committee, and validating output with your experts. A Forward Deployed Engineer (Technical) leads the research and builds the agents, handling environment setup, integrations, and security. Both have shipped enterprise AI before.
What does our side need to provide?
Four roles. A business owner empowered to make decisions and remove blockers, a technical owner for security, infrastructure and systems access, subject matter experts who do the work today and can judge the output, and a senior sponsor to keep the work funded. You also need representative sample data so we can validate each step of the agent.
How do you pick the first use case?
The best candidates are processes where a person reads information and produces an output: a summary, a report, a reply. We look for repetitive volume, a bottleneck, or work you currently pay someone outside the business to do.
Will you build our data platform?
No. We do not build or manage data lakes, warehouses or data programs. We build the AI layer on top of the data you already have, and we will tell you early if that data is not ready.
Do you train custom models?
No. We do not train, fine tune or deploy custom models, other than our own routing and PII models. We build with the models already available to you and route between them.
Do you build the front end?
Any interface built during the sprint exists so the AI can be tested under realistic conditions. Production front end, UX development and mobile apps are not in scope.
Does this replace our engineers?
No. It works because your specialist developers, subject matter experts and a senior sponsor stay involved throughout. Your team shadows every step and runs it from day 28.
Do you give legal or compliance advice?
No. We scope the agent against the EU AI Act and configure the guardrails, but legal risk assessment, data privacy and regulatory obligations stay with you.
What happens after the four weeks?
Adoption and ongoing maintenance sit with your business. You get a named technical account manager for support and bugs, and a customer success manager for adoption and value. You can bring us back for the next phase, though most teams do not need to.
