WorkforceForge
AI-assisted workforce for small operating teams.
WorkforceForge adds a supervised workforce alongside small operating teams — handling repeatable customer-facing and back-office work under operator review. The intent is leverage, not autonomy: every action runs inside boundaries the operator sets.
Operational workflows.
The work WorkforceForge is being built to support, in concrete terms.
- 01
Customer follow-up
Draft and send follow-up messages from operator-approved templates, with structured exceptions surfaced for review.
- 02
Inbox triage
Route incoming customer messages by topic, urgency, and required action; surface what needs operator attention.
- 03
Repeatable back-office work
Light data entry, record updates, and report assembly under supervised execution patterns.
- 04
Call summarization
Generate operator-reviewable summaries of customer calls, with structured fields for handoff.
- 05
Escalation to operators
Hand off ambiguous, sensitive, or high-stakes work to a human with full context.
How it's built.
Supervised by default
Every assistant runs inside operator-set boundaries. No silent autonomy.
Auditable handoffs
Every action is reviewable. Every escalation carries context.
Bounded autonomy
Assistants do what they're scoped to. Everything else escalates.
Product preview.
WorkforceForge is in active development. Product screens are not yet public.
How WorkforceForge fits.
WorkforceForge pairs naturally with PulsePilot (customer conversation) and ShopPilot (service operations) — operating teams use WorkforceForge for the repeatable execution work that flows out of those systems, under the same supervision and visibility conventions.
Discuss WorkforceForge.
Design-partner conversations, integration questions, and operational inquiries are welcome.