Turn the plan into a working application.
Our forward deployed engineers work with your team to configure workflows, connect systems, and bring AI into operation.
STAGE OUTPUT
Integrated application
- Workflow and rules configured
- Models and systems connected
- Review screens prepared
Forward Deployed Engineers
Engineers close
to the work.
FDEs connect business context with hands-on engineering. They work with the people who own the process and the teams who run the systems.
- With process owners
- Translate requirements, exceptions, and review responsibilities into workflow configuration.
- With technical teams
- Coordinate integrations, deployment requirements, access, and technical dependencies.
- With business users
- Review representative cases, refine the application experience, and support enablement.
- With operations
- Prepare the handover, monitoring responsibilities, and support and escalation paths.
Build the complete workflow.
Models, rules, interfaces, and human review come together around the agreed scope. Select an area to see what gets configured.
Workflow configuration
FDEs translate operational requirements into a workflow with defined paths for routine cases and exceptions.
Explore the platformMake the connections
work together.
FDEs map inputs, outputs, and responsibilities with system owners before connecting interfaces. Agreed APIs, SFTP, and structured files carry information into the workflow and results back to your systems.
Source system
Documents and case information
AI application
Extraction and business checks
Reviewer
Evidence and exceptions
Destination system
Recorded results and updates
Validate before
going live.
Your users and FDEs review representative cases against agreed acceptance criteria. Launch readiness covers the application, the people using it, and the team supporting it.
Access & environments
Required credentials, connectivity, deployment approvals, and environments are available for the agreed scope.
Acceptance checks
Representative cases validate output quality, workflow behaviour, integrations, permissions, and exception handling against agreed criteria.
User enablement
Users understand their screens, review responsibilities, available actions, and escalation paths.
Operational ownership
Support responsibilities, monitoring, escalation, and the transition into operations are agreed before launch.
A scoped path to launch.
FDEs coordinate delivery with your team through four stages, with a clear output at each step.
- 01
Confirm
Agree scope, dependencies, success measures, and responsibilities.
Delivery scope
- 02
Configure & connect
Build the workflow, adapt the application, and connect agreed systems and models.
Integrated application
- 03
Validate & enable
Review representative cases, complete acceptance checks, and prepare users.
Acceptance evidence
- 04
Launch & hand over
Release the agreed scope and establish the transition into operations.
Operational handover
We target the first scoped implementation in 2–3 weeks once data, access, deployment approvals, and validation arrangements are ready. Timing depends on scope and dependencies.
A scoped project fee covers agreed configuration, integrations, validation, and enablement. Outcome targets and any qualifying guarantees are defined against the agreed scope and measurement approach.
Before we build.
What needs to be ready before implementation starts?
The first workflow, success measures, and responsibilities need to be agreed. Representative data, required access, deployment approvals, and validation arrangements must be ready for the scoped delivery.
What does the 2–3-week target cover?
It applies to the first agreed workflow and initial implementation scope once dependencies are ready. Integration complexity, infrastructure requirements, and customer approvals affect the delivery plan.
How do forward deployed engineers work with our teams?
FDEs collaborate with process owners, users, and technical stakeholders to translate requirements into a working application. They coordinate configuration, integration, validation, enablement, and handover. Working arrangements are agreed for the engagement.
Can you integrate with our existing systems?
We assess agreed APIs, SFTP, structured files, and other required connections during scoping. Compatibility, access, security requirements, and dependencies are confirmed before delivery.
How are changes to scope handled?
New requirements are assessed for their impact on effort, timing, dependencies, and acceptance criteria. Changes are agreed through the engagement’s change process before being included.
How do users participate in validation?
Business users review representative cases and confirm that the workflow, outputs, screens, and actions support their responsibilities. Acceptance criteria and review arrangements are agreed in advance.
What happens after launch?
The application transitions into the agreed operating arrangement with defined monitoring, support, and escalation responsibilities. Managed AI Operations can provide ongoing quality evaluation, incident support, and improvement within the agreed service scope.
Bring your first workflow into operation.
Tell us what needs to work, which systems it touches, and how your team will use it. We’ll define a practical implementation scope.
Discuss Your ImplementationStill deciding where to start? Explore AI Advisory & Solution Design