Work directly with LONGWApps engineers to turn one business workflow into a deployed, evaluated AI system your team can operate.
Discuss an FDE engagementForward deployed engineering (FDE) is a delivery model in which engineers work directly with your business and technical teams to solve an operational problem. LONGWApps combines workflow discovery, hands-on implementation and production rollout in one engagement, with a clear outcome and an operating handover.
Work with forward deployed AI engineers when delivery depends on understanding your people, data and systems together. We work alongside the owners of the workflow, make decisions with your technical team and test the implementation with the people who will use it.
We develop bounded agent workflows, retrieval-augmented generation and tool calling around representative business requests. Together we choose what the model should interpret, what application code should enforce and which decisions need human approval.
We connect supported APIs, data sources and MCP tools to the workflow. Typed interfaces, service-level authorization, retries and duplicate protection make the integration testable across the systems your team already operates.
We build the intake screens, review queues and exception handoffs that make an AI workflow usable. Feedback from operational users informs the next iteration, while consequential actions remain visible to an accountable owner.
We bring evaluation, deployment configuration, observability and recovery into the build. Your team can inspect representative test results, execution traces, latency and usage costs before deciding whether to expand the rollout.
Our embedded AI engineering approach keeps workflow discovery, implementation and evaluation connected. Each milestone produces work your team can inspect and decisions you can act on.
Select one workflow, its business owner and the outcome. Establish the current process, dependencies and acceptance criteria.
Agree a collaboration cadence, repository access, review responsibilities and the data the engineers may use.
Deliver a narrow working slice, connect approved systems and demonstrate progress with representative requests.
Test task completion, permissions, failure paths, human approvals, latency and operating cost against the agreed criteria.
Release in stages with monitoring, rollback procedures and a clear route for operational exceptions.
Walk your team through the implementation, evaluation pack and runbook. Agree who owns the next release and ongoing support.
An illustrative FDE engagement brings operations and engineering around one order journey. Together, we connect intake to stock and payment checks, route exceptions to a person and release the workflow in a controlled slice.
Illustrative engagement
The handover makes the implementation and its operating decisions available to the people responsible for the workflow.
Choose the model around the work you need delivered. Forward deployed engineering suits a workflow that benefits from close collaboration across business and technical owners; consulting and a bounded implementation offer other starting points.
| Model | Best fit |
|---|---|
| Forward deployed engineering | An evolving AI workflow that needs engineers working closely with business and technical owners through integration, evaluation and release. |
| AI consulting | Assess opportunities, establish readiness and agree a practical implementation roadmap before committing to a build. |
| AI agent development | Commission a defined agent workflow with agreed tools, integrations, evaluation criteria and a production handover. |
FDE engagements receive a tailored proposal based on the workflow, engineering responsibilities, integration complexity and collaboration needs. The proposal identifies milestones, deliverables, the working cadence and the engineering budget.
A focused Discover assessment starts from $750 USD when a readiness review is useful. FDE delivery is quoted separately. See assessment scope.
A forward deployed engineer works with the people who own a business workflow to design, build, integrate and deploy a working solution. In an AI engagement, that includes data access, application logic, evaluation, release procedures and an operating handover.
An FDE engagement is organized around a workflow outcome and delivery milestones, with engineers collaborating across business and technical owners. Staff augmentation primarily adds capacity to a team you already manage. We scope the responsibilities and expected deliverables together.
Yes. We agree repository access, architectural responsibilities, pull-request reviews and release ownership with your team. Operational users help define the task and test whether the implementation fits the way they work.
You need a business owner for the workflow and people who can authorize system access and review the result. We can provide the AI implementation work and collaborate with your existing engineering team, IT partner or application owners.
FDE pricing is based on a tailored engineering scope and collaboration plan. A focused Discover assessment starts from $750 USD when a readiness review is the right first step. That assessment price is separate from an FDE engagement; request a proposal for the delivery budget.
We plan around milestones for one workflow. Access approvals, data readiness, supported integrations and review cycles determine the schedule. Your proposal identifies the first working slice, evaluation milestones and release plan before implementation starts.
Yes. We scope identity and data boundaries, least-privilege access, environment separation, release gates and operational ownership with your technical and security owners. Evaluation and observability are part of the delivery plan.
We agree the collaboration format, working hours and any on-site requirements during scoping. The engagement plan records how engineers will work with your business and technical teams.
