· Forward-Deployed AI Engineers
Hire a forward-deployed AI team without hiring full-time engineers.
Fabren gives SMB and mid-market teams embedded AI deployment capacity on a monthly pod model.
What is a forward-deployed AI engineer?
A builder who works close to the business problem, understands messy operating context, and ships systems into production workflows.
Why SMBs cannot hire one easily
Full-time AI engineers are expensive, hard to evaluate, and often need a product, data, and operations team around them to create business value.
Fabren's pod alternative
You get a practical deployment team with sprint cadence, workflow discovery, implementation, documentation, training, and monitoring.
Example workflows
Admin intake, client communication, reporting, internal search, QA, CRM updates, and AI developer productivity systems.
· What we deploy
Workflow systems your team will actually use.
Client onboarding automation
Turn intake forms, kickoff emails, and task setup into one controlled workflow.
Document collection
Chase missing files, summarize gaps, and route exceptions to the right person.
Email triage
Classify inbound requests, draft replies, and protect sensitive approvals.
Reporting automation
Compile client updates and KPI snapshots from scattered systems.
CRM updates
Keep pipeline data current without asking teams to become data clerks.
Internal knowledge base
Make SOPs, decisions, and policies queryable inside everyday tools.
Codex and Cursor rollout
Deploy AI coding workflows with repo rules, security guardrails, and team habits.
Workflow dashboards
Track deployment progress, human review points, and operational outcomes.
· Commercial model
Start with a sprint. Scale into a pod.
AI Deployment Sprint
A focused audit and prototype sprint that finds your first high-ROI deployment opportunity.
Monthly AI Pod
Embedded deployment capacity for teams that want AI workflows shipped every month.
Custom Workflow Rebuild
Department-level rebuilds for messy operations, data cleanup, and multi-system rollout.
· FAQ
Is this staff augmentation?
No. The pod owns specific deployment outcomes rather than simply lending hours.
Can we start with one workflow?
Yes. The sprint is designed to validate the highest-leverage first deployment before scaling.
Do you replace our team?
No. Fabren removes repetitive work and gives teams better systems, with human approval points where they matter.
· AI readiness audit
Find your first AI deployment opportunity.
Start with the workflow that is easiest to deploy, easiest to adopt, and most likely to create measurable operational lift.