Forward Deployed AI Engineering
Make the work work better.
Most of IT finds the operational work that keeps eating time, builds the AI system around it, and proves the result in day-to-day use.
For service businesses with real work to improve and no appetite for another AI experiment.
Example workflow
- Request arrives
- Understand and prepare
- Human approval when needed
- Update the system
Exception path
Unclear or sensitiveSend to a person
Where the work gets stuck
Your business has better things to do than repeat itself.
The useful starting point is usually easy to recognise. The same request arrives again. Someone reads it, finds the right context, moves information between systems, asks for approval, and follows up. We map that work before deciding where AI belongs.
We are vendor-neutral. Microsoft is a deep part of our experience, and the workflow decides what gets used.
Customer communication
Handle common calls and email, prepare useful answers, capture the right details, and send exceptions to the right person.
Possible starting points: phone intake, shared inboxes, lead qualification, appointment requests, and status questions.
Administrative work
Read documents, classify requests, prepare records, check required information, and reduce repeated data entry.
Possible starting points: order intake, document processing, case preparation, and record updates.
Process coordination
Keep handoffs, approvals, reminders, and system updates moving without losing ownership when something changes.
Possible starting points: onboarding, service requests, approval flows, and cross-system status updates.
How we work
We work inside the real process.
A useful AI system has to fit the systems, permissions, exceptions, and people already there. Most of IT stays close to the workflow from the first mapping session through live use. That is what forward deployed means here.
Discover
Choose one workflow worth examining and identify the people who know where it breaks.
Blueprint
Map the work, exceptions, systems, controls, baseline, and primary measure.
Deploy
Build the agreed scope and connect it to the real operating environment.
Stabilise
Fix friction, handle edge cases, and make ownership clear.
Measure
Compare the result with the agreed baseline and decide what changes next.
Operate or hand over
Keep Most of IT involved, or transfer a documented system your team can own.
The plan changes when the evidence changes. The owner of the outcome does not.
A bounded first step
Start with one workflow.
If the fit call finds a credible starting point, the next step is a fixed-scope Deployment Blueprint. Over three to five working days, we turn one workflow into an implementation decision.
€4,500 excluding VAT
This covers one workflow with a clear owner and access to the people who understand it. Larger environments, multiple workflows, unusual access requirements, or extensive compliance work need a separate scope.
Discuss a workflowWhat the Blueprint delivers
- The current workflow and its exceptions
- Systems, integrations, and access boundaries
- Security and human approval points
- A baseline and one primary operational measure
- The proposed implementation scope and fixed project price
- A clear go, change, or stop decision
After the Blueprint
Build from a scope both sides understand.
Implementation is quoted as a bounded project. The quote records assumptions, responsibilities, acceptance criteria, and the change process. You can see what is included before build work starts.
- Fixed scope
- The agreed workflow, integrations, controls, and acceptance criteria define the project.
- Live stabilisation
- The first release is watched in real use. Edge cases are recorded and handled with the people doing the work.
- Operation or handover
- Most of IT can run the system with you, or hand over the code, documentation, access model, and operating instructions.
Human control
Automation earns its authority.
Proven, reversible work can run automatically. Exceptions, sensitive decisions, and irreversible actions stay with a person until the evidence supports a wider boundary. Every deployment makes that boundary visible.
- Safe to automateProven and reversible
- Needs approvalA person confirms before it runs
- Always handled by a personSensitive or irreversible
One accountable team
The right specialists, with one owner.
Most of IT brings in the specialists a deployment needs and remains accountable for the complete result. You know who leads the work, who contributes, and what each person owns.
The company starts small on purpose. Capacity expands around real work.
How proof works
Agree on the measure before the build.
The Blueprint records the current baseline, one primary operational measure, the source of that data, and the period used to compare results. After launch, the same definition is used again.
Step 1
Before
Record the current time, volume, error, or service measure that matters for this workflow.
Step 2
During
Track exceptions, human interventions, and changes to the agreed scope.
Step 3
After
Compare the same measure and decide whether to keep, change, expand, or stop.
Start with the work
What keeps coming back?
Tell us where calls, email, documents, or handoffs keep consuming time. If one workflow is worth fixing, we will tell you whether a Deployment Blueprint makes sense.