7 Best AI Capacity Planning Software Tools for Operations Teams in 2026 (Real Pricing).

Most operations teams find out they’re over capacity the same way: a deadline slips, a key person burns out, or a client escalates. The problem isn’t that the team didn’t see it coming. It’s that they had no tool that could see it coming for them.

AI capacity planning software changes that. Not by doing the planning for you, but by connecting your team’s current workload to forward demand and flagging the collision before it happens.

This guide covers 7 tools that actually do that — with real pricing, honest limitations, and a decision framework mapped to the three most common operations scenarios: service delivery, production, and multi-team coordination.

What is capacity planning? The process of matching your team’s available output to expected demand — in advance. Different from headcount planning (who to hire) and different from project scheduling (who does what this week). Capacity planning answers: can we handle what’s coming, with who we have?

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Why operations managers need different capacity tools

Most capacity planning software is designed for project managers and creative agencies. The questions are: does this designer have 20 hours free next sprint? Can the PM take one more project?

Operations managers are asking different questions. Can the fulfillment team process 40% more orders in Q4? If our main vendor delivers 10 days late, what breaks first? When the support queue doubles in January, do we need contractors or can we rebalance internally?

The tools in this list handle operations scenarios specifically — or, in a few cases, handle them well enough with the right configuration that they’re worth including.

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Comparison at a glance

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Evaluation criteria

Before diving into each tool, here’s what separates “AI capacity planning” from “a calendar with colors”:

1. AI depth: Does it forecast demand, model scenarios, or detect bottlenecks — or does “AI” just mean auto-fill suggestions?
2. Operations use case coverage: Does it handle service delivery, production throughput, or multi-team demand — not just individual scheduling?
3. SMB suitability: Tools under $15/user/month score a flag here. Most operations teams aren’t enterprise.
4. Integration fit: Can it connect to what you already use? (Jira, Monday, Asana, ERP, CRM)
5. Honest limitations: Every tool has scenarios where it breaks down.

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1. Float — Best for service delivery operations teams

Float’s core use case is resource planning for service teams: agencies, consultancies, managed service providers. For operations managers running service delivery — where the “product” is time and people — Float is the most mature option in this list.

What the AI actually does: Float’s AI features center on utilization forecasting and a schedule optimizer. Given your current bookings and your historical utilization patterns, it predicts where your team will be over or under capacity in the next 4 to 12 weeks. The schedule optimizer looks at the full project backlog and suggests assignment changes to flatten over-allocation without pushing deadlines.

Pricing: Float offers three tiers. The Starter plan covers project planning at $6/user/month (billed annually). The Pro plan adds time tracking and reporting at $10/user/month. Enterprise pricing is custom. A 30-day free trial is available on all plans — no credit card required.

Pricing source: float.com/pricing (verify before citing, plans update frequently).

Best-fit operations scenario: You run a service delivery team of 10-100 people. Your workload arrives as client projects. You need to know, two months out, whether you can take a new contract without blowing your current ones.

Internal link opportunity: If your team is also planning headcount alongside capacity, see AI tools for operations management for a broader overview of the stack.

Limitation: Float is built around project-based capacity, not volume-based capacity. If your operations team processes orders, tickets, or units rather than projects, Float’s scheduling logic doesn’t map cleanly to your reality. You’d be shoehorning work into “projects” to make the reporting work.

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2. Resource Guru — Best for multi-team operations

Resource Guru is a scheduling and capacity tool built for teams that manage multiple departments or functions simultaneously — the type of operations manager who needs to see the whole picture across engineering, support, fulfillment, and delivery at once.

What the AI actually does: Resource Guru’s smart scheduling detects conflicts and over-allocations in real time. It doesn’t generate demand forecasts, but it does give you instant visibility when a scheduling decision creates a capacity problem — and it suggests resolution options. The “Leave Manager” integration means your capacity calculations automatically account for approved PTO and holidays, which is a practical detail most tools miss.

Pricing: Resource Guru starts at $4.16/user/month when billed annually (roughly $5/user on monthly billing). The Smartcap plan, which adds utilization reports and custom fields, runs $6.65/user/month annually. Enterprise pricing is available. There’s a 30-day free trial.

Pricing source: resourceguruapp.com/pricing.

Best-fit operations scenario: You’re coordinating across multiple teams or departments, some of which have very different capacity rhythms (e.g., a warehouse team that spikes in Q4 and a support team that spikes in January). You need a single view without building a custom spreadsheet.

Limitation: Resource Guru is scheduling-first, not forecasting-first. It’s excellent at showing you where you are; it’s less useful for projecting where you’ll be 90 days from now based on pipeline. If predictive demand forecasting is your primary need, look at Float or Mosaic instead.

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3. Mosaic — Best for professional services operations

Mosaic sits in the intersection of resource planning and financial forecasting, which makes it unusually well-suited to operations managers whose capacity decisions have direct revenue implications. If you’re managing utilization rates that feed directly into margin, Mosaic’s reporting depth is hard to match at this price point.

What the AI actually does: Mosaic’s AI connects staffing decisions to pipeline and revenue. It ingests data from your CRM and project management tools, then surfaces capacity forecasts tied to your sales pipeline — so you can see, before a deal closes, whether you have the capacity to deliver it. The scenario modeling lets you run “what if we hire two contractors” or “what if this project extends three weeks” projections with financial impact included.

Pricing: Mosaic’s pricing starts at approximately $9.99/user/month based on public listings and review sites. Enterprise pricing is custom. Contact Mosaic directly for current rates — pricing has shifted as the product has matured. Trial available.

Note: pricing is based on review sites and may not reflect the most current plan structure. Verify at mosaicapp.com.

Best-fit operations scenario: You run a professional services or managed services operation where your team’s billable capacity is the business. Utilization rate, pipeline coverage, and margin per project all live in one view.

Internal link opportunity: For teams managing vendor relationships alongside internal capacity, AI vendor management tools covers the complementary stack.

Limitation: Mosaic’s financial depth assumes you’re tracking projects and billable hours. Operations teams in non-billable environments (internal shared services, manufacturing support, fulfillment) won’t use most of what they’re paying for. It’s feature-rich to the point of complexity for teams that just need scheduling plus forecasting.

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4. Runn — Best for growing operations teams

Runn is a newer entrant that has built a clear niche: AI-powered capacity forecasting for teams that have outgrown spreadsheets but aren’t ready for enterprise software pricing. The interface is clean, the onboarding is fast, and the AI features are focused on the two things operations managers actually need — forward capacity and profitability by project.

What the AI actually does: Runn’s AI capacity forecasting takes your confirmed and tentative projects, applies your team’s historical utilization patterns, and projects future capacity gaps or surpluses. You can model scenarios (“what if we delay project X by two weeks?”) and see the ripple effect on the rest of the schedule. Profitability tracking connects hours to budget in real time.

Pricing: Runn starts at $10/user/month (billed monthly) with a lower rate on annual billing. There is a free plan for very small teams (up to 5 users). A 14-day free trial is available on paid plans.

Pricing source: runn.io/pricing.

Best-fit operations scenario: You’re a growing operations or delivery team of 15-60 people. You’ve been running capacity planning in a spreadsheet. You need something that forecasts, connects to your project tools (Runn integrates with Jira, Harvest, and others), and doesn’t require a three-month implementation.

Limitation: Runn’s reporting suite is functional but not deep. If you need granular department-level or skill-level forecasting across a complex org, you’ll hit its ceiling quickly. It works best for teams with a relatively flat structure and consistent project types.

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5. Streamline — Best for supply chain and production operations

Streamline is the only tool in this list specifically built for supply chain and production capacity planning — not team scheduling. If your operations team manages inventory, supplier lead times, production runs, or order fulfillment volumes rather than people’s time, Streamline is the only purpose-built option here.

What the AI actually does: Streamline uses AI-driven demand forecasting to predict what you’ll need to produce or source, then works backwards to identify capacity constraints. It accounts for seasonality, supplier variability, and historical demand patterns. For operations managers managing physical throughput — how many units can we ship, how much raw material do we need, can our production line handle the Q4 forecast — this is materially different from scheduling software.

Pricing: Streamline starts at $59/month for the basic plan, with higher tiers for larger SKU counts and more advanced forecasting features. Enterprise pricing is custom.

Pricing source: streamline.net (verify current plan structure, as pricing has evolved with the product).

Best-fit operations scenario: You manage supply chain, inventory, or production capacity — not team scheduling. You’re trying to answer “can we fulfill 50,000 units in Q3” not “does Sarah have 20 hours free next week.”

Internal link opportunity: Streamline pairs naturally with AI supply chain management tools for teams managing the full supply chain stack.

Limitation: Streamline is a supply chain planning tool, not a team capacity tool. If you need both — production throughput AND team scheduling — you’ll need two separate systems or a more expensive ERP-adjacent platform. Don’t buy Streamline expecting it to plan your team’s time.

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6. Epicflow — Best for multi-project operations

Epicflow applies Theory of Constraints logic to multi-project environments. The premise: most operations teams don’t fail because of bad scheduling — they fail because they don’t know where the bottleneck is and they keep overloading it. Epicflow’s AI is designed specifically to find and protect the bottleneck.

What the AI actually does: Epicflow’s AI scans your full project portfolio and identifies where your critical resource bottleneck is forming — before it becomes a crisis. It uses flow efficiency metrics (not just utilization) to tell you whether work is moving through your system at the right pace. The “what-if” scenario engine lets you model adding resources, delaying projects, or changing priorities and see the immediate impact on bottleneck capacity.

Pricing: Epicflow uses custom pricing based on team size and configuration. There is no public pricing page. Based on review site data, Epicflow typically starts in the $20-30/user/month range for mid-market teams, but enterprise implementations are significantly higher. Contact them directly for a quote.

Note: pricing data is based on public review sites (G2, Capterra). Verify with Epicflow before budgeting.

Best-fit operations scenario: You manage 5-20 simultaneous projects with shared resources, and the main problem is that you can’t see which project or team is the current bottleneck. You’ve tried prioritization frameworks and they haven’t helped because the bottleneck keeps moving.

Internal link opportunity: For operations teams managing complex vendor relationships that feed into your capacity constraints, see AI procurement tools for how vendor lead times can be tracked alongside internal capacity.

Limitation: Epicflow has a significant learning curve. The Theory of Constraints methodology is powerful, but it requires buy-in from the team and some initial configuration work. Out of the box, it won’t look like “AI that just works” — it rewards teams that invest time in the setup.

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7. Teamdeck — Best for small operations teams (under 20)

Teamdeck is the most lightweight option in this list. It’s designed for small teams that need resource scheduling, time tracking, and basic capacity visibility without complexity or enterprise pricing. For operations managers running lean teams, it’s often the right tool at the right price.

What the AI actually does: Teamdeck’s AI features are limited compared to the others in this list. The scheduling intelligence detects availability conflicts and over-allocations in real time. It doesn’t do predictive demand forecasting or scenario modeling. What it does do is give you a clean, real-time view of who is working on what and when they run out of capacity.

Pricing: Teamdeck starts at $3.99/user/month for resource scheduling. Time tracking adds $1.00/user/month. All features are available at the base tier — pricing scales purely with seat count. There is a free plan for very small teams.

Pricing source: teamdeck.io/pricing.

Best-fit operations scenario: You run a small operations team of 5-20 people. Your main problem is not knowing who has capacity for new work without asking around. You don’t need demand forecasting — you need a shared view of team availability that isn’t a shared spreadsheet.

Limitation: Teamdeck’s reporting and forecasting capabilities are basic. If your operations team is growing past 20-25 people, or if you need AI-powered demand forecasting to plan 90 days out, you’ll outgrow Teamdeck quickly. It’s a stepping stone, not a long-term platform.

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How to choose: a decision framework

The right tool depends on two variables: your team size and your operations type.

Small ops team (under 20 people):

• Service or project delivery → Float (Starter) or Runn
• Broad resource visibility → Teamdeck

Mid-size ops team (20-100 people):

• Service delivery with revenue implications → Mosaic or Float (Pro)
• Multi-team coordination → Resource Guru
• Multi-project bottleneck management → Epicflow
• Supply chain or production throughput → Streamline

Operations type:

• “We manage people’s time on projects” → Float, Resource Guru, Mosaic, Runn, Teamdeck, Epicflow
• “We manage production volume, inventory, or units” → Streamline

Budget:

• Under $5/user/month → Teamdeck or Resource Guru
• $5-10/user/month → Float Pro, Runn, or Mosaic
• Custom / enterprise → Epicflow or Streamline (production scale)

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Try this today

If you’re not sure where to start, Resource Guru’s 30-day free trial is the fastest way to see if dedicated capacity planning is worth it for your team.

Here’s the fastest path to value:

1. Sign up for the free trial at resourceguruapp.com — no credit card required
2. Add your team members and their weekly available hours (takes about 15 minutes)
3. Import your current projects — you can add them manually or connect via the API
4. Run the capacity report for the next 4 weeks

In under an hour, you’ll have a clear picture of where your team is over-allocated before you’ve committed to anything new. If it changes one decision, the trial paid for itself.

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