Cross-system workflows
Work moving among email, PDFs, spreadsheets, an ERP or CRM, and human approvals.
Embedded engineering approach
A forward-deployed engineer works alongside the people doing the work, learns the real process and its exceptions, and builds the right mix of software and AI inside the systems the team already uses.
Book a workflow triagePlain-language definition
The official process is rarely the complete process. A simple step such as “an email arrives” can include different senders, formats, attachments, approvals, and exceptions known only by the operator. Forward-deployed engineering starts by observing that reality.
The goal is not to sell “AI everywhere.” Rules, validation, integrations, and state changes often belong in deterministic code. Models fit ambiguous classification, extraction, drafting, or judgment. Humans remain at approval points where uncertainty, risk, or irreversible action requires them.
How it differs
| Model | Starting point | Primary shape |
|---|---|---|
| Forward-deployed / embedded engineering | The live workflow, its operators, systems, handoffs, and exceptions | Observe, map, build, evaluate, shadow, launch, and improve with the client team |
| Agency project | A defined brief or statement of work | Deliver a scoped project against agreed requirements |
| SaaS product | A standardized problem shared by many customers | Configure or adopt an existing product |
These models can complement each other. The distinction is that embedded engineering discovers and delivers from inside the real operating environment.
Who it fits
Work moving among email, PDFs, spreadsheets, an ERP or CRM, and human approvals.
Processes that look simple in an SOP but contain many formats, cases, and informal decisions.
A backlog, rework, errors, slow cycle time, or another baseline the team can defend.
A person who owns the workflow and can provide representative cases and system access.
Method
The default is to improve the stack the team already uses. A smallest complete workflow is tested against representative cases, run alongside the old process, and given human approval thresholds and rollback before autonomy increases.
Start with the Workflow Opportunity Sprint. See how the approach applies to AI workflow automation in Washington, or review the Vibe Ledger proof project.
Book a workflow triage