The approach
See the process clearly, then prove what to fix
Transactional and service work is full of hidden queues. A backlog that looks like a headcount problem is often a routing problem, and adding people to the wrong step only moves the bottleneck. ProcessModel builds a working model of the work, from intake to resolution, and runs a discrete event simulation so the real constraint is obvious. It is a proven tool for business process improvement and service process improvement: test the redesign, size staff to demand, and carry hard numbers into the decision. One modeling project at Vangent showed the real problem was not 500 new representatives but a re-engineered process, a 14 million dollar difference.
What you can model
What you can model in services
A working model of the work, run as a real simulation, so the real constraint is obvious.
Contact centers and customer service
Model call and case arrivals that surge by hour and day, test routing and staffing, and see where customers wait before they are helped.
Back-office and transactional processes
Map intake-to-resolution work step by step, then run it with real volumes and variability to find where queues build between handoffs.
Financial-services operations
Test claims, applications, and account workflows against demand, and prove the redesign that holds up under load before you roll it out.
Staffing to demand
Size teams with shift presets or custom schedules, breaks, and priorities, and match coverage to demand instead of to last quarter.
Backlog and turnaround-time reduction
Find the real constraint with Impact Analysis, then show the change that shrinks backlog and turnaround time before you commit to it.
Case studies
Proven in services
Real projects where a team mapped the process, ran the simulation, and proved the result.
10,000garments a week on an 8-hour day, up from 6,600 on a 14-hour day
More garments out the door on a shorter working day
Hangers, Inc.
Read the project96%of calls answered, up from 85 percent, at ten times the volume
From 400 calls a day to 4,000, answered better
A large financial services company
Read the project$64Msaved immediately, and about $190M over time
An ad-sales overhaul that started with a new-hire paper trail
A sports channel
Read the project8 weeksper project, to model and reshape a service flow
Treating service orders the way a factory treats parts
A telecommunications company
Read the project57%growth in the consulting unit, absorbed by the support center
Absorbing 57 percent growth by moving work to the web
A consulting firm
Read the project$133Ma year in SG&A, the three-year reduction target the model supports
Mapping the value stream toward a large cost-reduction goal
An office-furniture manufacturer
Read the projectMillionsin patent value protected by closing a statutory-bar risk
Protecting patents by modeling the legal process
An aerospace and rocket-motor company
Read the project50%cycle-time improvement, the two-year goal simulation was used to reach
Teaching a whole workforce to see the process
An imaging company
Read the project22 dayscut from a 155-day cycle, with utilization above 95 percent
Twenty-two days out of a printed-communications workflow
A consulting firm
Read the project15%more revenue from optimizing the table mix
More revenue from the same room, with fewer seats
A restaurant
Read the project45 to 60 daysloan cycle, the starting point on the way toward one-day approval
Driving loan approvals from weeks toward a single day
A mortgage lender
Read the project58%faster application turnaround under a new pod model
A pod model that cut application turnaround by more than half
An auto finance company
Read the projectSee it in action
Build it, run it, find the bottleneck
The same workflow powers every industry. Describe the process and let AI build the model, run a real discrete event simulation, find the constraint with Impact Analysis, and compare the fix against the current state. See the canvas, the live run, and the reports on the product page.
Explore the product- 01
Build with AI
Describe the process in plain language and review the model before anything changes.
- 02
Run the simulation
Watch the work move through your process with real resources, queues, and variability.
- 03
Find the constraint
Rank every step by the time and cost it adds, then start with the one that matters most.
- 04
Prove the fix
Compare current state against future state and see the result before you commit.
Customer stories
Teams that model first, change once
Our people thought they would have to hire and train an additional 500 representatives. The modeling pointed out where the real problems were, and how to re-engineer the process with the addition of only 125. That is a 14 million dollar saving.
It was instrumental in helping me change our process to reduce our backlog from 23 days to 2.
See your services process clearly, then prove the fix
Build the model, run the simulation, find the constraint, and show the improvement before you change a thing.