Capacity Planning Software for Operations: What Each Kind Plans Against

Capacity planning software sets the work you expect against the people, or machines, available to do it. It comes in six kinds, and each one plans against a different unit: project bookings, production resources, financial drivers, contact-center intervals, back-office work items, or observed computer activity. A back-office operation such as claims, policy service, lending operations, billing, or order-to-cash is served by only a few of them.

Search the term and most results are written for agencies booking designers onto client work, engineering teams planning work in Jira, and plants loading production lines. When we checked in September 2026, Google’s AI summary for the term closed by asking whether you meant agencies, manufacturing, or IT. Each of those results serves a real buyer, just not the one running a back office.

This page sorts the six kinds by what they plan against, gives the published prices where vendors publish them, and says plainly who each tool is not for, Summit Trails included. If an AI headcount target is the reason you are reading, the section on where we fit is written for you, and you can book a 30-minute strategy call at any point.

Key Takeaways

• Capacity planning software splits into six kinds: project and resource scheduling, manufacturing capacity, enterprise workforce planning, contact-center workforce management (WFM), back-office operations management, and activity analytics with a capacity module.
• Project and resource tools publish their prices. Float, Resource Guru, and Runn list between $5 and $14 per person per month on monthly billing (checked September 2026). Workday, Verint, Netstock, and ActiveOps do not publish prices.
• Two kinds are built around the work items a back-office operation processes: back-office operations management (ActiveOps) and contact-center WFM that extends forecasting into the back office (Verint WFM).
• Every capacity model multiplies volume by effort per item. In an illustrative 140-person team planned at 55 minutes per item, a seven-minute error in that figure moves the answer by about 18 full-time equivalents (FTE), roughly 13% of the team.
• Summit Trails is not capacity planning software. It measures the effort per item a capacity model depends on, and scores that work for automation, in a fixed 90-day Phase 1 assessment.

Six Kinds of Capacity Planning Software

Start with the unit. Every tool below answers “do we have enough capacity?”, but each counts capacity in a different currency, and a tool that counts in the wrong one will give you a tidy answer to a question your operation never asked.

If what you are really comparing is workforce intelligence tools rather than capacity tools, our workforce intelligence software guide sorts that market separately.

Project and Resource Capacity Planning: Float, Resource Guru, Runn

Most of the first page of search results is this kind. These tools put people on a timeline against projects, show who is overbooked, and warn you when new work will not fit.

Float sells resource scheduling and capacity planning to professional services teams, with live availability, over-capacity alerts, and time off built into the schedule. Its pricing page lists $7 per scheduled person per month for Starter and $12 for Pro on annual billing ($8.50 and $14 month to month). Enterprise is quoted separately and pitched at teams of 100 seats or more, and people who only need to view the schedule join as free guests.

Resource Guru covers capacity planning with availability bars, utilization heatmaps, placeholder resources, and tentative bookings, and it lists agencies, consultants, construction, engineering, and IT as its industries. The published plans run $5, $8, and $12 per person per month, with two months free on annual billing. Read one line twice: you pay for every person added to the account, whether or not they ever log in.

Runn calls itself resource management and capacity planning software “for teams planning people across technical projects.” Its pricing is per resource seat: $7 for Lite and $11 for Standard on annual billing ($9 and $13 monthly), with volume discounts from 100 seats.

Who they fit: any team whose work is shaped like a project, with a start date, an end date, and a client. Who they do not fit: a claims or billing operation where work arrives as a continuous stream of items. You can force a queue into a project tool by naming each queue a “project,” but the tool will only ever know the hours somebody typed in.

Manufacturing Capacity Planning: Netstock

The second group of results belongs to plants. Netstock offers a manufacturing capacity planning module that ties material plans to production resources. It combines rough-cut capacity planning for long-range what-if questions with finite capacity planning, which uses a solver to assign production to resources, and it integrates with enterprise resource planning (ERP) systems including NetSuite, Sage, Acumatica, Microsoft Dynamics, and SAP Business One. No price is listed; the pricing page asks a few questions first.

Consider an illustrative case. An operations lead at a mid-size industrial manufacturer has a plant capacity plan accurate to the machine hour. Down the hall, a 60-person order-to-cash team keys orders, clears credit holds, and fixes pricing exceptions, and nobody has a capacity model for that team at all.

When the CFO asks whether AI could take on a third of that team’s work, the plant’s planning module has nothing to offer, because an order-entry specialist is not a production resource.

Enterprise Workforce Planning: Workday Adaptive Planning

The one enterprise workforce planning tool among the top results is Workday. Its workforce capacity planning lives inside Adaptive Planning and runs on driver-based scenarios, bottom-up operational inputs, and a direct link to Workday’s human capital management (HCM) data, so a plan can allocate people across departments, projects, and locations. The pricing page says pricing varies and routes you to a quote, with a 30-day free trial.

Who it fits: finance and HR teams building a companywide headcount and cost plan. Who it does not fit: an operations leader who needs to know what one team’s day is made of. A driver-based model is only as good as its drivers, and in a back-office team the driver that matters most, how long each item takes, often enters the model as an assumption. We compare the two approaches in workforce intelligence vs. Workday.

Contact-Center Workforce Management: Verint and Calabrio WFM

Contact centers have the easiest capacity problem to measure, because the phone system records when every contact arrives and how long it took.

Verint sells two workforce management products. Calabrio WFM is described as designed for inbound contact centers. Verint WFM reaches further: Verint says its forecasting analyzes volumes, work types, and handle times, plus data affecting staffing “in the contact center and across functions, including the back office.” Verint has no public pricing page.

Who it fits: inbound contact centers, and enterprises that want one WFM platform spanning the contact center and some back-office queues. Who it does not fit: back-office work that never passes through a system that timestamps it. A forecast needs handle times, and a processor who moves between a policy system, an imaging tool, and email all day generates none unless something measures the work first. Our Verint WFM alternative page covers that gap for operations teams.

Back-Office Operations Management: ActiveOps

This is the kind built closest to the back office, yet it did not appear among the top 18 results for “capacity planning software” when we checked in September 2026. ActiveOps sells what it calls decision intelligence for service operations in banking, insurance, and healthcare. Every customer starts with AO Core for planning and managing the operation day to day, then adds capabilities: Application Mining for how work happens at the desktop, Long-Term Workforce Planning and Optimization for headcount planning, Transformation Performance for proving what automation delivered, and casework management with process intelligence.

Its insurance page lists claims, underwriting, payments, and service among its use cases. There is no pricing page; you book a demo.

Who it fits: large service operations that want a permanent system for planning and managing back-office capacity every day. Who it does not fit: a team that needs a single, time-bound answer and does not want to adopt a new management system to get it. If you run claims or policy service at scale, put ActiveOps on the shortlist. Of every tool on this page, it is the one most directly built for your kind of operation.

Activity Analytics With a Capacity Module: ActivTrak

ActivTrak tracks how time is spent across apps and websites and sells capacity planning as a plan tier rather than a separate product. On its pricing page, capacity and headcount planning, along with workload balance, sits in Productivity Optimization at $17 per worker per month billed annually. It also lists a Workflow product at $21 per worker per month, which it says covers work pattern and task discovery, AI and automation opportunities, and measurement after a change. The free plan covers three people.

Who it fits: leaders who want a standing per-worker subscription that reports utilization across computer-based teams. Who it does not fit: an operation that needs one measured answer for a specific headcount decision and will not use a monthly utilization report after it. We lay out the operations view in more detail in our ActivTrak alternative guide.

The Input Every Capacity Model Borrows

Strip any of these tools down to the arithmetic and it is the same sum:

Required FTE = (volume × effort per item) ÷ productive hours per person

Volume is the easy part, since your core system already counts claims, applications, or invoices. Productive hours are policy: working days, shrinkage, and a utilization target. Effort per item is the hard part. Project tools collect it from timesheets, finance tools take it as a driver, and in a lot of back-office teams it starts life as an estimate.

Here is what that estimate is worth. Picture a policy service team at a mid-size property and casualty insurer: 140 processors handling 18,000 items a month across endorsements, cancellations, billing changes, and the exceptions that ride along with them. The figures below are illustrative arithmetic, not client data.

• Productive hours: each processor works 21 days at 7.5 hours, or 157.5 hours a month. At a 75% productive target, that is about 118 productive hours per person.
• Planning figure: the team’s spreadsheet says an item takes 55 minutes. 18,000 items at 55 minutes is 16,500 hours, which needs about 140 FTE. The model balances, and nobody questions it.
• Measured figure: suppose the true average is 48 minutes, because the 55 was set during a system migration two years ago and never revisited. 18,000 items at 48 minutes is 14,400 hours: about 122 FTE.

Seven minutes of estimation error is 18 people, roughly 13% of the team. No scheduling screen, driver model, or production plan will flag it, because each of them accepted 55 as an input.

If AI takes on part of that work, how much capacity comes back? The answer depends on the same missing number, split by task: how many of those 48 minutes are data handling a model could do, and how many are judgment a regulator expects a person to exercise. A plan built on one blended estimate cannot make that split.

Our free Mandate Response Framework walks through segmenting the work that way, and if the case is headed for finance, justifying operations headcount to the CFO shows how to present it.

How to Shortlist Capacity Planning Software for a Back-Office Operation

Five questions narrow the list faster than a feature grid.

1. Where does effort per item come from? Typed in, pulled from timesheets, measured by a routing system, or observed at the desktop. The answer sets how far you can trust every number downstream of it.
2. What shape is your work? Projects with end dates point to Float, Resource Guru, or Runn. Production orders point to a manufacturing module. Continuous streams of items with service levels point to back-office operations management or WFM.
3. What horizon are you planning on? Intraday staffing, a monthly roster, and an annual headcount budget are different jobs. Buy for the one you actually have.
4. Who will keep it fed? A model that was right on launch day and untouched by month six is a spreadsheet with a login.
5. Is the question permanent or one-time? Running capacity day to day is a subscription problem. “How many people will this operation need once AI takes on part of the work?” is a question with a deadline, and it may not need another permanent system at all.

Where Summit Trails Fits, and Where It Does Not

Summit Trails is not capacity planning software, and you should not buy us as one. We do not schedule people, forecast volume, manage intraday queues, or book anyone onto a project.

What we do is measure the number your capacity model borrows. The Ground Truth AI² Platform records work as click-region screenshots, 500 to 3,000 per person per day, never the full screen and never keystrokes. Vision AI reads each capture and names the activity, so the record says “correcting a billing address on an endorsement” instead of “six hours in the policy system.” Each activity is then scored for automation potential.

You end up with effort per item measured task by task, and a view of which minutes AI could realistically take on. Our approach sets out how an engagement runs.

Phase 1 is a fixed 90-day assessment rather than a software subscription. First findings land around weeks three to four, and the Ground Truth AI² Report at the end carries the activity baseline, an assessment of which work AI could replace, a prioritized deployment roadmap, and a staffing model analysis your capacity plan can be rebuilt on. Wendy Kinney, whose 20-plus years in workforce operations include work for AT&T, Boeing, AIG, Nationwide, Farmers, and the State of California, is the point of contact on every engagement.

The customer owns the data, which is encrypted with AES-256 at rest and TLS 1.3 in transit, with a self-hosted option; the platform page covers the detail.

Where we are the wrong choice:

• Contact centers: A WFM suite such as Verint’s is built for that work.
• Project and agency scheduling: Float, Resource Guru, or Runn will serve you better.
• Production capacity: Machines and materials belong in a manufacturing planning module.
• Small scopes and unsupported environments: An assessment needs at least 50 employees in the operation being measured, and a client environment on Azure or AWS.
• Always-on management: The assessment is scoped to 90 days, and it does not include implementing AI, running change management, or recommending AI vendors. If you want a permanent operating system for the back office, compare ActiveOps.
• Guaranteed numbers: We will not guarantee a headcount reduction or a return figure before the work has been measured.

If none of those rule you out, and you have to answer the AI headcount question with numbers, that is the moment to book a 30-minute strategy call.

Frequently Asked Questions

What is capacity planning software?

Capacity planning software compares the work you expect with the capacity available to do it, then shows where you will be short or over. What counts as capacity depends on the kind: people booked on projects, machine and labor hours in a plant, headcount and cost in a financial plan, contacts and handle times in a contact center, or effort on work items in a back-office operation.

What is the best capacity planning software for back-office operations?

It depends on whether you need to run capacity every day or answer one planning question. For planning and managing service operations day to day in banking or insurance, ActiveOps is built for that environment, and Verint WFM extends contact-center forecasting into the back office. Float, Resource Guru, and Runn are designed around projects rather than continuous streams of processing work.

Can I use Excel for capacity planning?

Yes. A spreadsheet handles the core arithmetic, volume times effort per item divided by productive hours, without trouble. Where it goes wrong is the effort figure typed into it, and most dedicated capacity planning software also takes that figure as an input rather than measuring it.

How much does capacity planning software cost?

On annual billing in September 2026, Float listed $7 and $12 per scheduled person per month, Runn $7 and $11 per resource seat per month, and ActivTrak’s capacity planning tier $17 per worker per month. Resource Guru listed $5, $8, and $12 per person per month, with two months free on annual billing. Workday Adaptive Planning, Verint, Netstock, and ActiveOps do not publish prices. Summit Trails does not publish pricing either; it is discussed on a call.

What is the difference between capacity planning and workforce management software?

Capacity planning looks ahead: how many people or hours the operation needs over weeks, months, or a budget year. Workforce management runs the operation day to day. Verint defines WFM software as forecasting, planning, and scheduling, so its suite puts forward planning and daily scheduling in one product.

Can capacity planning software tell me how much capacity AI will free up?

Not on its own. A capacity model can show what happens if effort per item falls by 20%, but it cannot tell you whether 20% is realistic, because that depends on how much of each item is automatable data handling and how much is human judgment. Getting there means measuring the work at the task level first, then feeding the result into whichever capacity tool you use.

Is Summit Trails capacity planning software?

No. Summit Trails measures what an operation’s work consists of, task by task, and scores each activity for automation potential over a fixed 90-day Phase 1 assessment. The output is the effort and automation data a capacity plan depends on.

Plan on Minutes You Have Measured

Choose capacity planning software by what it plans against. Projects, production lines, financial plans, contact centers, and back-office work items each have tools that do that job well.

Whichever tool you choose will inherit its effort-per-item figure from somewhere. If that figure is an estimate and a headcount number is about to be set against it, measure it first. Book a 30-minute strategy call and we will look at where your current capacity model’s inputs come from, which of them would survive a board question, and what measuring the rest would take.