What is a forward deployed engineer?

A forward deployed engineer works closely with a client team to understand a real operational problem, then designs, builds, integrates and deploys the software or AI solution in that context.

How is this different from AI consulting?

The engagement includes implementation. Strategy and recommendations are connected directly to prototyping, engineering, integration, rollout and improvement.

Do we need an AI strategy before starting?

No. The discovery phase can identify where AI or automation is useful, where conventional software is a better fit and which opportunity should be prioritised first.

Can StepSharp work with a distributed team?

Yes. The working model can be shaped around the team, systems and project requirements, including remote collaboration across locations.

AI deployment / Embedded engineering

AI engineering embedded in how your organisation works.

We work with your team to understand the organisation, find useful AI and automation opportunities, and build them into the workflows people already use.

Discuss your project Explore capabilities

Business context

AI strategy only becomes useful when it changes real work.

Promising pilots often remain disconnected from the systems, data and roles involved in daily operations.

Automation fails when the real workflow, exceptions, constraints and ownership are not understood first.

Recommendations create little value until engineers implement, deploy and improve them with the people doing the work.

What StepSharp delivers

Capability shaped
around the requirement.

Each engagement is scoped around the system, workflow and operating context—not a pre-packed feature list.

Workflow and system discovery

Work with the people closest to the operation to understand processes, tools, data, constraints and friction.

Use-case prioritisation

Choose AI and automation opportunities by practical value, feasibility, risk and readiness—not novelty.

Embedded prototyping

Build and test solutions close to the workflow so feedback reaches the engineering decisions quickly.

Integration and implementation

Connect AI, automation and custom software with the business systems already in use.

Rollout and improvement

Move the agreed solution into production, support adoption and improve it against real operating feedback.

How the work moves

A verified delivery flow.

01
Understand the work
Map the organisation, workflow, systems, data and people involved.
02
Choose the opportunity
Prioritise a useful, feasible problem with a clear operating outcome.
03
Build with the team
Prototype, integrate and validate the solution alongside the people who will use it.
04
Deploy and improve
Roll out the working system, support adoption and iterate from real feedback.

Technical capability

Technologies named
in the service scope.

These are grouped capability references—not a claim that every engagement uses every technology.

AI and automation

OpenAI API
Claude API
AI agents
Workflow automation

Business systems

CRM
ERP
Finance
Operations
Internal platforms

Delivery

APIs
Data integrations
Web applications
Cloud deployment
Evaluation

Relevant contexts

Where this capability applies.

01Enterprise process improvement
02Agency delivery operations
03Customer support and knowledge work
04Document and data workflows
05System integration and automation

Service FAQs

Useful questions,
direct answers.

Start with the work

Discuss your forward deployed engineering project.

Begin with a conversation about the requirement, constraints and operational context.

Discuss your project Contact StepSharp

AI deployment / Embedded engineering

AI engineering embedded in how your organisation works.

We work with your team to understand the organisation, find useful AI and automation opportunities, and build them into the workflows people already use.

Discuss your project Explore capabilities

Business context

AI strategy only becomes useful when it changes real work.

Promising pilots often remain disconnected from the systems, data and roles involved in daily operations.

Automation fails when the real workflow, exceptions, constraints and ownership are not understood first.

Recommendations create little value until engineers implement, deploy and improve them with the people doing the work.

What StepSharp delivers

Capability shaped
around the requirement.

Each engagement is scoped around the system, workflow and operating context—not a pre-packed feature list.

Workflow and system discovery

Work with the people closest to the operation to understand processes, tools, data, constraints and friction.

Use-case prioritisation

Choose AI and automation opportunities by practical value, feasibility, risk and readiness—not novelty.

Embedded prototyping

Build and test solutions close to the workflow so feedback reaches the engineering decisions quickly.

Integration and implementation

Connect AI, automation and custom software with the business systems already in use.

Rollout and improvement

Move the agreed solution into production, support adoption and improve it against real operating feedback.

How the work moves

A verified delivery flow.

01
Understand the work
Map the organisation, workflow, systems, data and people involved.
02
Choose the opportunity
Prioritise a useful, feasible problem with a clear operating outcome.
03
Build with the team
Prototype, integrate and validate the solution alongside the people who will use it.
04
Deploy and improve
Roll out the working system, support adoption and iterate from real feedback.

Technical capability

Technologies named
in the service scope.

These are grouped capability references—not a claim that every engagement uses every technology.

AI and automation

OpenAI API
Claude API
AI agents
Workflow automation

Business systems

CRM
ERP
Finance
Operations
Internal platforms

Delivery

APIs
Data integrations
Web applications
Cloud deployment
Evaluation

Relevant contexts

Where this capability applies.

01Enterprise process improvement
02Agency delivery operations
03Customer support and knowledge work
04Document and data workflows
05System integration and automation

Service FAQs

Useful questions,
direct answers.

Start with the work

Discuss your forward deployed engineering project.

Begin with a conversation about the requirement, constraints and operational context.

Discuss your project Contact StepSharp

Software & AI Engineering

Production-Ready Software

Global Project Delivery

AI engineering embedded in how your organisation works.

AI strategy only becomes useful when it changes real work.

Workflow and system discovery

Use-case prioritisation

Embedded prototyping

Integration and implementation

Rollout and improvement

Understand the work

Choose the opportunity

Build with the team

Deploy and improve

AI and automation

Business systems

Delivery

01What is a forward deployed engineer?+

02How is this different from AI consulting?+

03Do we need an AI strategy before starting?+

04Can StepSharp work with a distributed team?+

Discuss your forward deployed engineering project.

AI engineering embedded in how your organisation works.

AI strategy only becomes useful when it changes real work.

Workflow and system discovery

Use-case prioritisation

Embedded prototyping

Integration and implementation

Rollout and improvement

Understand the work

Choose the opportunity

Build with the team

Deploy and improve

AI and automation

Business systems

Delivery

01What is a forward deployed engineer?+

02How is this different from AI consulting?+

03Do we need an AI strategy before starting?+

04Can StepSharp work with a distributed team?+

Discuss your forward deployed engineering project.