Enterprise & Scale
FLOQ at Scale
FLOQ scales from solo founders to 500-person engineering orgs — without adopting SAFe-level ceremony. Here's how.
Cross-Team Coordination
Currents & Current Board
- Multiple teams work on different Currents simultaneously
- Current Lead coordinates across teams for shared Currents
- Current Board shows all teams' active Currents and Floq Rates
- Cross-team blockers become Floq Emergencies — escalated, not waited on
- No PI Planning. No Agile Release Trains.
Stakeholder Visibility
Real-time, not sprint-timed
- Current Map: always-live visual of all Currents + progress
- Drop Notes: periodic external-facing summary (weekly or trigger-based)
- Floq Rate Dashboard: executive view of outcome delivery velocity
- Outcome Debt Report: shipped features that haven't hit targets — honest accountability
Capacity & Load Management
No sprint capacity planning needed
- WIP limits per Builder: max 2 active Outcome Tickets simultaneously
- Floq Capacity metric: historical outcomes-per-period sets realistic expectations
- Surge handling: Floq Burst — voluntary intensive push for critical outcomes
- No capacity planning theater — actual throughput data drives decisions
AI Integration at Scale
AI as infrastructure, not tooling
- Each team has dedicated AI Pairs per Outcome Ticket
- AI generates cross-team documentation automatically
- Signal Analyst role uses AI to monitor metrics across all Currents
- Shared AI knowledge base grows with each outcome — institutional memory
Regulated Industries
HIPAA · SOX · GDPR · PCI-DSS
- Ship Standard includes compliance gates: audit trails, data classification, regulatory scan
- Every deployment logged with Outcome Ticket reference for audit purposes
- Continuous compliance > sprint-end compliance reviews
- Automated compliance is faster AND more thorough than manual sprint-end reviews
Team Topology in Large Orgs
No Agile Release Trains. Just Currents.
- Platform teams: own infrastructure Currents, serve via async support
- Product teams: own customer-facing Currents, measured on business outcomes
- Data teams: own analytics Currents, provide Signal Analyst capability org-wide
- AI/ML teams: AI Pairs for all teams, continuously improving generation quality
| Team Type | Owns | Measured By | FLOQ Role |
|---|---|---|---|
| Platform | Infrastructure Currents | API reliability, deploy speed | Serve other teams via async support; no ceremony tax |
| Product | Customer-facing Currents | Business metrics (conversion, retention) | Outcome Tickets tied directly to revenue metrics |
| Data / Analytics | Analytics Currents | Signal quality, insight delivery speed | Signal Analyst capability for all teams |
| AI / ML | AI Pair infrastructure | Code generation quality, Builder productivity | AI Pairs assigned across all active Outcome Tickets |