Customer & Field
Field Service Management
ServiceNow FSM delivered by ifBash: skill-based auto-assignment, location optimization, real-time schedule adjustment. the right tech, every time.
What Field Service Management covers.
Dynamic Scheduling
Skill-based auto-assignment, location optimization, real-time schedule adjustment. The right tech, every time.
- Auto-assignment
- Real-time adjustment
Mobile Agent
Native iOS/Android with full offline capabilities. Everything a technician needs — in their pocket.
- Native mobile
- Offline capable
- Full FSM
Schedule Optimization
AI-powered route optimization across your entire fleet. Minimize travel, maximize jobs per day.
- AI routing
- More jobs/day
Preventive Maintenance
Automated maintenance scheduling and issue prediction. Fix problems before customers notice.
- Auto-scheduling
- Issue prediction
Dispatcher Workspace
Unified view of all field operations. Real-time tracking, drag-and-drop scheduling, instant communication.
- Unified view
- Real-time tracking
- Drag-and-drop
Four phases. You see working configuration in every one.
We don't publish a week count here — the honest answer depends on your instance, your data, and how many systems are in scope. You get a specific timeline in the written plan after scoping.
Assess
- Field operations audit & resource analysis
- Technology baseline & integration inventory
- KPI baseline & success criteria
Configure
- Platform setup & scheduling config
- Mobile deployment & device rollout
- Route optimization & GIS integration
Launch
- Pilot rollout & technician training
- KPI monitoring & adjustment
- Feedback collection & iteration
Scale
- Full deployment across all regions
- Optimization cycles & refinement
- Continuous improvement program
The scheduling engine is only as good as the data you never collected.
Dynamic scheduling is the headline capability, and it needs technician skills, certifications, territories, working time, and travel assumptions to be accurate and maintained. Most organisations do not have that data anywhere, or have it in a spreadsheet one dispatcher owns. Turn on automated scheduling against incomplete skill data and it produces assignments the dispatchers immediately override — after which you have a scheduling engine nobody uses and a dispatcher who is now also maintaining a system.
Tell us where you are- Do you start with assisted or fully automated dispatch?
- Assisted first, almost always. It gives dispatchers a ranked suggestion they can accept or reject, which both delivers value immediately and produces the data showing where the skill model is wrong.
- How offline does the mobile app need to be?
- This is the requirement that most changes cost. Genuinely offline field work — basements, remote sites, no coverage — constrains what the mobile experience can do. Intermittent connectivity is a much easier problem. Worth being precise about which one you have.
- Who owns parts availability?
- First-visit resolution depends on the technician having the part. If inventory lives in a system nobody has connected, scheduling will keep promising visits that cannot complete.
- Configuration documentationWhat was built, why, and where the decisions are recorded.
- Admin and runbook trainingFor the people who will own it after go-live.
- Update-set and repo historyA traceable record rather than an undocumented instance.
- A named escalation pathThe same engineers, not a ticket queue.
Dynamic scheduling, a mobile app for technicians, and optimisation that matches the right engineer to the right job. The scheduling engine is only as good as data most organisations do not yet hold: technician skills, certifications, territories and travel assumptions, maintained. We normally start with assisted dispatch rather than full automation, because it delivers value immediately and exposes where the skill model is wrong.
Want this on your instance?
Tell us where you are today — greenfield, mid-implementation, or inheriting someone else's build. You'll have a written plan inside two working days.