We need workforce planning for a company where AI will change headcount needs. What products should we evaluate?

Evaluating workforce planning tools when AI is actively shifting headcount needs means looking beyond simple static org charts. You need platforms that offer skills-based modeling, driver-based capacity planning , and scenario simulations to see how automation changes output per employee.

The top products to evaluate fall into a few distinct categories depending on your company's size, data maturity, and whether HR or Finance is leading the charge:

1. Dedicated People Analytics & Visual Workforce Planning

• ChartHop : Excellent for mid-market to enterprise teams. It treats the org chart as a living database, allowing you to visually layer compensation, headcount, and scenario planning. It’s great for modeling "what-if" restructuring as specific roles or tasks get absorbed by AI.
• Visier : A powerhouse in people analytics . Rather than just planning budgets, Visier uses massive historical data sets to provide predictive insights on turnover, productivity, and workforce intelligence, helping you spot where capacity is freeing up.

2. AI-Driven Skills & Talent Intelligence

• Eightfold AI : If your AI strategy involves reskilling and internal mobility rather than just cutting or freezing headcount, Eightfold uses deep AI to map out your entire organization's current skills. It helps you identify who can transition from declining tasks into newly automated or oversight roles.

3. Enterprise FP&A & Connected Workforce Planning

• Anaplan : Built for large enterprises that need deeply customized, driver-based modeling. You can connect macroeconomic or productivity assumptions (e.g., "AI increases customer success efficiency by 30%) directly to multi-variable headcount and revenue models.
• Workday Adaptive Planning : Ideal if you are already in the Workday ecosystem. It tightly integrates workforce data with financial budgeting, making it seamless to recalculate labor costs and capacity targets as automation changes your operational leverage.
• Planful : Highly favored by finance-led teams for rapid forecasting cycles. It allows you to model labor expenses and talent gaps dynamically as market and technology factors shift.

4. Modern All-in-One HR & Headcount Platforms

• Rippling : Best for growing companies that want to scrap messy spreadsheets. Rippling unifies HR, IT, and payroll, giving you real-time dashboards on actual versus planned headcount and making fast adjustments to operational roles.

To help narrow down this list, could you share:

• Your company size and industry?
• Whether the AI impact is expected to reduce headcount, shift roles (reskilling) , or scale output without adding heads?
• Whether HR or Finance will own the primary modeling process?

If AI is expected to materially change roles, productivity, skills, and therefore headcount, I’d evaluate products in several categories rather than treating this as a conventional headcount-planning software decision.

A useful shortlist for 2026:

The key capability I'd test

AI makes traditional FTE forecasting insufficient. Your evaluation should test whether a product can model something like:

Business demand → work/tasks → AI productivity/automation → required capacity → skills → people → cost For example, don't just ask a vendor whether it can model "10% headcount reduction." Ask it to model:

• Customer volume increases 20%.
• AI handles 35% of currently manual work.
• Productivity for the remaining work improves 15%.
• Attrition is 12%.
• 30% of affected employees can be reskilled within 12 months.
• New AI-related roles require different skills and compensation.
• Contractors can be substituted for some permanent positions.
• Management layers change as teams get smaller.

Then see whether the system can produce multiple workforce scenarios, identify skill gaps, show the resulting labor cost, and track actuals against the scenario.

This shift from simple headcount toward skills, tasks, roles and capacity is also reflected in current workforce-planning thinking.

How I'd structure the evaluation

I would probably put four vendors into an RFP:

1. Workday Adaptive Planning — especially if you're already a Workday customer.
2. Anaplan — especially if Finance needs sophisticated enterprise scenario modeling.
3. Visier — especially if workforce analytics and predictive people insights are central.
4. Eightfold — especially if skills, reskilling and internal mobility are central to your AI transformation.

The important thing is not to choose solely based on the workforce-planning feature list. Run all four against the same AI transformation scenarios and compare their ability to answer:

• How many people do we need?
• Which roles shrink, disappear, or grow?
• What work is being automated versus augmented?
• Which skills become scarce?
• How many existing employees can fill future roles?
• What reskilling would be required?
• What happens to labor cost?
• What happens under different AI-adoption rates?
• How quickly can we update the model as actual AI productivity becomes known?

If you tell me your company size, industry, whether you're already on Workday/SAP/Oracle, and whether the primary buyer is HR or Finance, I can turn this into a shortlist + evaluation scorecard/RFP with specific demo questions and scenarios.

Yes. For AI-driven workforce planning, I’d avoid evaluating only traditional headcount-budgeting tools. The important shift is from “How many people do we need?” to “What work will AI automate, augment, or create, what skills will remain, and what does that imply for roles, capacity, cost, and hiring?” Deloitte describes this transition as moving from headcount toward skills, tasks, roles, and capacity.

My shortlist

A 2026 comparison of the market similarly separates these products into different categories: Orgvue for transformation/org design, Anaplan for financial planning, Workday for HR/financial alignment, Visier for workforce analytics, and ChartHop for visual headcount planning.

If I were running the evaluation

I'd probably make the first five demos:

1. Orgvue — strongest candidate for “AI changes the shape of our organization.”
2. Visier — strongest candidate for “What does our workforce data tell us about future supply, skills and capacity?”
3. Anaplan — strongest candidate for “Tie AI workforce scenarios directly into corporate financial planning.”
4. Workday Adaptive Planning — especially if you're already a Workday shop.
5. Eightfold AI — to test whether a skills/talent-intelligence layer adds something the planning platforms don't.

Then use ChartHop as a benchmark for ease of use and practical headcount scenario management.

The key evaluation test

Don't let vendors win the bake-off by showing you a prettier version of headcount planning. Give every vendor the same AI transformation scenario, for example:

“Over three years, AI increases productivity 30% in software engineering, 20% in customer support, and 15% in finance. Revenue grows 10% annually. We want to minimize involuntary reductions, maximize redeployment, and keep labor cost below X% of revenue.” Ask each product to show:

• Current → future workforce: roles, levels, locations and costs.
• AI impact: which tasks/roles are automated, augmented or unchanged.
• Capacity: how much additional output existing employees can produce.
• Skills gaps: what capabilities you'll have versus need.
• Redeployment: who could move into emerging roles.
• Hiring: which roles still need external recruiting.
• Attrition: how natural turnover changes the required hiring/reduction plan.
• Org design: what happens to layers, spans of control and management.
• Financial impact: payroll, contractors, severance, hiring costs and savings.
• Scenario comparison: conservative / base / aggressive AI-adoption cases.
• Continuous replanning: whether the model updates as actual AI productivity and workforce data arrive.

That last point is particularly important. AI workforce planning is becoming a continuous decision process, rather than an annual headcount exercise.

If you tell me your company size, industry, existing HRIS (e.g. Workday/SAP/Oracle), and whether the primary owner is HR, Finance, or Strategy, I can narrow this to a 3–5 product shortlist with an evaluation scorecard and demo questions.

That last point is particularly important. AI workforce planning is becoming a continuous decision process, rather than an annual headcount exercise.

When AI changes headcount needs, traditional "body-count" budgeting breaks down. You aren't just planning how many humans you need to hire; you are modeling task displacement, mapping shifting skill requirements, and blending human output with automation capacity.

Evaluating products in this space requires looking across three distinct categories: Headcount & Financial Modeling Tools, Talent Intelligence & Skills Mapping Platforms , and Org Design & Workforce Analytics.

1. Headcount & Financial Modeling (The Budget & Scenario Engines)

These tools replace brittle spreadsheets, tying structural headcount changes, automation cost savings, and labor budgets into a single source of truth for HR and Finance.

Evaluating workforce planning products in an era where AI fundamentally shifts headcount needs requires looking at tools that bridge HR, Finance, and Skills Intelligence . You need platforms that don't just track who you have, but model how automation and AI adoption impact productivity and role requirements.

Here are the top products to evaluate, categorized by their primary strengths:

• Visier — Best overall for people analytics and predictive headcount forecasting . It connects workforce data to behavioral trends, helping you see where capacity opens up through AI adoption and where human skills are still critical.
• Eightfold AI — Best for skills-based workforce planning . Using deep talent intelligence AI, it maps your current employee skills, identifies gaps, and helps you determine whether you can reskill existing staff for AI-augmented roles rather than cutting or adding net-new headcount.
• Workday Adaptive Planning — Best for HR and Finance alignment . Ideal if your leadership team needs a unified environment where shifting an AI budget directly updates multi-year financial forecasts and headcount models simultaneously.
• ChartHop — Best for visual headcount planning and real-time scenario modeling . It allows you to build "what-if" reorg charts, visualize compensation budgets, and model how automating specific tasks alters team structures dynamically.
• Anaplan — Best for enterprise-scale connected planning . Recommended for massive organizations with complex, multi-layered operational and financial data that need hyper-customizable modeling for large-scale structural shifts.
• Orgvue — Best for organizational design and large-scale transformation . It helps you deconstruct jobs into tasks to analyze where AI can absorb workloads and model the exact footprint of your future operating model.

If you tell me your company size and whether your strategy is finance-led (cost control) or HR-led (skills transformation) , I can help narrow down this list to the top two solutions.

For AI-driven workforce planning, I would not evaluate only “headcount planning” tools. The bigger question is: how will AI change the amount of work, the skills required, the shape of jobs, and the cost model? The strongest evaluations usually combine:

1. Strategic workforce planning (future headcount, scenarios, org design)
2. Skills intelligence (what capabilities you have vs. what you need)
3. Financial planning (labor cost, productivity assumptions, hiring tradeoffs)
4. Workforce analytics (where AI is reducing/increasing demand)

A shortlist to evaluate:

I would structure the evaluation around these AI-era use cases

1. “Where will AI reduce or increase labor demand?”

Test whether the product can model:

• Role-by-role automation assumptions
• Productivity improvements
• Work volume changes
• New AI-related roles
• Contractor vs. employee tradeoffs

2. “What skills do we need in 12–36 months?”

Look for:

• Skills inference from employee profiles, projects, and resumes
• Skill adjacency (“who can be reskilled?”)
• Internal mobility recommendations
• Future skill gap forecasting

3. “What happens under different AI adoption scenarios?”

Require scenario modeling such as:

• Conservative AI adoption → 5% productivity gain
• Moderate adoption → 15% productivity gain
• Aggressive adoption → redesigned processes and fewer transactional roles

Then measure:

• Headcount impact
• Cost impact
• Reskilling investment
• Hiring needs

4. “Can Finance and HR use the same model?”

Avoid tools that only create HR dashboards. The best platforms connect:

• Workforce demand
• Compensation costs
• Budgets
• Revenue assumptions
• Business strategy

A practical evaluation shortlist by company profile

Large enterprise (10,000+ employees):

• Orgvue
• Workday
• Anaplan
• Visier
• Eightfold AI

Mid-market company building an AI transformation plan:

• Visier
• Anaplan
• Pigment
• Workday Adaptive Planning (if already in ecosystem)

Skills-first transformation (AI changes jobs significantly):

• Eightfold AI
• Visier
• Orgvue

Finance-driven headcount optimization:

• Anaplan
• Workday Adaptive Planning
• Oracle / SAP planning products

I would also include a “build vs. buy” assessment: many companies find the hardest part is not forecasting headcount, but creating a reliable AI impact model by job family, process, and skill. The winning platform is the one that can connect those assumptions to actual workforce and financial decisions.

A useful next step would be to create a vendor scorecard with criteria like AI impact modeling, skills intelligence, scenario simulation, HRIS integration, finance integration, and implementation effort.

If the goal is workforce planning specifically for an AI-driven change in headcount, I’d evaluate a mix of strategic workforce-planning platforms and people-analytics tools—not just traditional HRIS headcount modules.

The key requirement is: “If AI changes productivity, task mix, demand, or required skills, what happens to our workforce, cost, and hiring plan?”

My shortlist

I'd put these three through the first round

1. Anaplan — best for sophisticated AI scenarios

This would be my first demo if you expect fairly complex modeling. Anaplan specifically describes translating strategic drivers, including automation and AI, into role-level workforce demand and then modeling alternative scenarios.

For example, I'd ask it to model:

Revenue +10% → AI productivity +20% → engineering work mix changes → 15% fewer junior roles → increased demand for AI/productivity specialists → attrition → retraining capacity → resulting FTE and labor-cost requirement. That is much closer to the problem you're describing than conventional “how many people do we hire next year?” planning.

2. Workday Adaptive Planning — best if you're already a Workday shop

Workday combines headcount, compensation, skills, talent and organizational-design scenarios, with workforce plans connected directly to financial planning.

Its advantage is less about being the most flexible modeling engine and more about having the HR data → workforce plan → budget → approved position chain in one ecosystem.

3. Visier — best if the analytics/question-answering side matters

Visier is compelling when you need to understand the workforce before modeling it. It supports workforce forecasting, scenario modeling, turnover effects, workforce costs and talent gaps.

I'd particularly evaluate it if your leadership questions sound like:

• Which jobs are most exposed to AI?
• Where are we overstaffed because of productivity improvements?
• Which skills will become scarce?
• Who can be redeployed rather than replaced?
• How much hiring can we avoid through reskilling?
• What happens to workforce cost under different AI-adoption curves?

One important distinction

I'd avoid evaluating these products purely on “headcount planning.”

For AI transformation, your requirements should look more like:

Business demand → work/tasks → productivity assumptions → capacity → skills → roles → FTEs → labor cost

rather than:

Current employees → + hires − departures = future headcount

That distinction matters enormously. Anaplan, for example, explicitly supports workforce-demand modeling based on strategic drivers and AI/automation, rather than treating headcount as a simple extrapolation.

What I'd require in the RFP

Ask every vendor to demonstrate the same scenario:

1. Baseline: 10,000 employees across 100+ job families.
2. AI adoption: 25%, 50%, and 75% adoption over three years.
3. Productivity: AI increases productivity differently by job family.
4. Work redesign: some tasks disappear, others increase, and some new tasks emerge.
5. Demand growth: business volume changes independently of AI adoption.
6. Skills: existing employees can be reskilled at different rates.
7. Attrition: natural attrition removes some of the excess capacity.
8. Hiring: external hiring has cost and time-to-productivity assumptions.
9. Output: required FTEs, surplus/shortage by role, skills gaps, labor cost, hiring/retraining requirements and organizational structure.

If a vendor can't model that without substantial custom work, I'd downgrade it, regardless of how good its conventional headcount-planning features look.

One caveat: the product-search results are noisy for enterprise SaaS, so I would not use the shopping results as the basis for vendor selection; the vendor documentation is much more useful here.

If you tell me your company size, industry, whether you're on Workday/Oracle/SAP, and whether Finance or HR will own the tool, I can narrow this to a 5-vendor evaluation matrix with weighted criteria and demo questions.

That is much closer to the problem you're describing than conventional “how many people do we hire next year?” planning.

2. Workday Adaptive Planning — best if you're already a Workday shop

Workday combines headcount, compensation, skills, talent and organizational-design scenarios, with workforce plans connected directly to financial planning.

Its advantage is less about being the most flexible modeling engine and more about having the HR data → workforce plan → budget → approved position chain in one ecosystem.

3. Visier — best if the analytics/question-answering side matters

Visier is compelling when you need to understand the workforce before modeling it. It supports workforce forecasting, scenario modeling, turnover effects, workforce costs and talent gaps.

I'd particularly evaluate it if your leadership questions sound like:

Evaluating workforce planning software when AI is shifting headcount needs requires tools that go beyond static org charts or basic headcount tracking. You need platforms capable of task- and skills-based modeling, scenario planning , and cross-functional alignment (bridging HR and Finance).

The top products to evaluate fall into a few clear categories depending on your organization’s size and focus:

1. Dedicated Organizational Design & Transformation Tools

• Orgvue: Best for deep organizational design and restructuring. Unlike standard HR tools, Orgvue looks at what work is actually being done at the activity and task level. This makes it exceptionally strong for modeling how AI automation affects specific tasks, allowing you to redesign job roles, shift layers, and run "what-if" cost and structure scenarios before making cuts or reallocations.
• Visier: A leader in people analytics and workforce intelligence. Visier incorporates advanced AI modeling (Visier Workforce AI ) that helps you analyze workforce data, forecast productivity changes, and understand the real cost of your workforce relative to output. It’s ideal if your strategy is driven by data insights and continuous planning rather than annual spreadsheet exercises.

2. Enterprise Connected Planning & FP&A Platforms

• Anaplan: Best when workforce planning is deeply tied to enterprise finance and driver-based budgeting. Anaplan allows you to build complex, multi-variable predictive models connecting revenue goals, operational changes, and labor costs. If AI adoption scales revenue per employee or displaces certain functions, Anaplan lets Finance and HR model those financial impacts scientifically.
• Workday Adaptive Planning: A robust, unified suite for modeling workforce dynamics, budgeting, and forecasting. It bridges talent requirements with business goals, though enterprise deployments can be complex and often require dedicated administration or implementation partners.
• Planful: Excellent for dynamic, fast-cycle financial and operational planning. It bridges headcount planning tightly with finance workflows, making it easier to adjust talent and labor cost assumptions as market conditions or tech efficiencies evolve.

3. Visual Org & Collaborative People Ops Platforms

• ChartHop: Combines visual org charting with headcount planning, scenario modeling, and compensation insights. It is more intuitive and visually collaborative than heavy enterprise FP&A tools, making it great for mid-to-large organizations that want department heads actively participating in headcount shaping.
• Rippling: Best if you want an all-in-one HRIS, payroll, and spend management platform where workforce planning is baked directly into real-time operational data. It tracks open roles, compensation bands, and approval workflows natively without relying on disconnected spreadsheets.

To help narrow down this list, could you share:

• What size is your company (headcount and revenue scale)?
• Are you looking to evaluate tools led primarily by HR, Finance, or a cross-functional transformation team?
• Do you need basic org visualization and scenario planning , or deep task/activity-level workforce redesign?

Yes. If the core problem is “AI will change the amount and type of work we need people to do”, I would evaluate workforce-planning platforms differently from a conventional headcount-budgeting exercise.

The key capabilities are scenario modeling, role/skill decomposition, organizational design, labor-cost modeling, and the ability to translate changes in work into changes in FTE demand. Current market offerings vary substantially on those dimensions.

My shortlist

1. Orgvue — probably my first demo

If your question is “How does AI change our organization?”, Orgvue is particularly interesting because it goes beyond headcount budgeting into work, roles, skills, structure, cost and future-state organizational design. It supports scenario modeling and explicitly positions its platform around AI-driven workforce change.

I'd test it with scenarios such as:

• AI reduces transaction-processing work by 40%.
• AI increases engineer productivity by 25%.
• 10 existing roles become materially different jobs.
• We automate a business process but need new AI-governance roles.
• We redeploy 500 employees rather than eliminate positions.
• Revenue grows 20% while total labor capacity grows only 5%.

Why I like it for this use case: it is closer to organizational transformation modeling than traditional workforce budgeting.

2. Workday — especially if you're already a Workday shop

Workday's current planning capabilities include skills-based modeling, driver-based planning, organizational design and what-if scenarios. Its organizational-design product can model changes in a sandbox and assess financial/HR impacts before executing approved changes into Workday.

This makes it compelling if you want the eventual workflow to be:

strategy → scenario → approved org → positions → recruiting/redeployment → HRIS

rather than maintaining a separate planning environment.

3. Visier — strong if your data foundation is the problem

Visier is particularly interesting when you need to connect workforce analytics with planning. Its workforce-planning product supports future-state scenarios, predictive models, workforce/financial alignment and continuous adjustment rather than an annual headcount exercise.

I'd favor it when the question is:

“Given what is happening to our workforce, skills, attrition and business performance, what should our workforce look like next?”

4. Anaplan — excellent Finance-led option

Anaplan is worth evaluating if Finance owns the planning process. Its workforce-planning capabilities connect headcount and position plans to broader financial and operational scenarios.

I'd choose it over a specialist workforce tool when the primary model is:

Revenue → workload/business drivers → FTE requirement → compensation → P&L

rather than detailed organizational redesign.

5. Eightfold AI — consider as a complement

I'd look at Eightfold less as the core “how many people do we need?” engine and more for “what skills do we have, what skills will we need, and who can move into the new work?”

That's particularly important with AI because the answer won't always be layoffs. Often it will be:

automate → redesign job → reskill → redeploy → hire selectively.

The important distinction

I would not make this a conventional “workforce planning software bake-off.”

Ask every vendor to demonstrate the same AI transformation scenario:

Today: 10,000 employees across 100 job families. 2028: AI automates 30% of activities in 25 job families, increases productivity in another 30%, and creates 8 new capability areas. Then require the vendor to show:

1. Work decomposition — what activities are actually being automated?
2. Demand model — how does changed productivity translate into required capacity?
3. Role impact — which jobs disappear, shrink, grow or change?
4. Skills impact — what capabilities become scarce?
5. Org design — what does the future organization look like?
6. FTE scenarios — e.g. -5%, -10%, +5%, etc.
7. Financial impact — compensation, contractors, hiring and severance.
8. Redeployment — who can move into the new roles?
9. Hiring plan — where do you still need external talent?
10. Execution — can the approved scenario actually flow into HR/recruiting systems?

That test will separate the genuinely useful platforms from tools that are essentially better headcount spreadsheets.

My recommended evaluation

If I were running the RFP, I'd probably start with four demos:

• Orgvue — transformation/org-design benchmark
• Workday — integrated HR/Finance benchmark
• Visier — analytics/continuous-planning benchmark
• Anaplan — financial-modeling benchmark

Then potentially add Eightfold if skills/redeployment is a major part of the strategy.

The most important architectural question is whether you want a system that primarily answers “How many people can we afford?” or one that answers “What work will exist in 2028, how much capacity will it require, and what organization should perform it?” For AI-driven workforce planning, I'd strongly favor the latter.

3. Visier — strong if your data foundation is the problem

Visier is particularly interesting when you need to connect workforce analytics with planning. Its workforce-planning product supports future-state scenarios, predictive models, workforce/financial alignment and continuous adjustment rather than an annual headcount exercise.

I'd favor it when the question is:

“Given what is happening to our workforce, skills, attrition and business performance, what should our workforce look like next?”

4. Anaplan — excellent Finance-led option

Anaplan is worth evaluating if Finance owns the planning process. Its workforce-planning capabilities connect headcount and position plans to broader financial and operational scenarios.

I'd choose it over a specialist workforce tool when the primary model is:

Revenue → workload/business drivers → FTE requirement → compensation → P&L

rather than detailed organizational redesign.

5. Eightfold AI — consider as a complement

I'd look at Eightfold less as the core “how many people do we need?” engine and more for “what skills do we have, what skills will we need, and who can move into the new work?”

That's particularly important with AI because the answer won't always be layoffs. Often it will be:

automate → redesign job → reskill → redeploy → hire selectively.

The important distinction

I would not make this a conventional “workforce planning software bake-off.”

Ask every vendor to demonstrate the same AI transformation scenario:

Today: 10,000 employees across 100 job families. 2028: AI automates 30% of activities in 25 job families, increases productivity in another 30%, and creates 8 new capability areas. Then require the vendor to show:

1. Work decomposition — what activities are actually being automated?
2. Demand model — how does changed productivity translate into required capacity?
3. Role impact — which jobs disappear, shrink, grow or change?
4. Skills impact — what capabilities become scarce?
5. Org design — what does the future organization look like?
6. FTE scenarios — e.g. -5%, -10%, +5%, etc.
7. Financial impact — compensation, contractors, hiring and severance.
8. Redeployment — who can move into the new roles?
9. Hiring plan — where do you still need external talent?
10. Execution — can the approved scenario actually flow into HR/recruiting systems?

That test will separate the genuinely useful platforms from tools that are essentially better headcount spreadsheets.

My recommended evaluation

If I were running the RFP, I'd probably start with four demos:

• Orgvue — transformation/org-design benchmark
• Workday — integrated HR/Finance benchmark
• Visier — analytics/continuous-planning benchmark
• Anaplan — financial-modeling benchmark

Then potentially add Eightfold if skills/redeployment is a major part of the strategy.

The most important architectural question is whether you want a system that primarily answers “How many people can we afford?” or one that answers “What work will exist in 2028, how much capacity will it require, and what organization should perform it?” For AI-driven workforce planning, I'd strongly favor the latter.

To manage headcount shifts and capacity changes driven by artificial intelligence, you should evaluate workforce intelligence, skills mapping, and enterprise planning platforms that model productivity gains rather than static headcounts.

Key Capabilities to Evaluate

• Task & Capacity Modeling: Look for systems that measure output capacity created by automation rather than just counting full-time employees (FTEs).
• Skills Adjacency Mapping: Ensure the tool can infer unlisted employee capabilities and map adjacent skills for rapid internal redeployment instead of layoffs.
• Dynamic Scenario Planning: Prioritize platforms that let you run what-if models on varying rates of AI adoption across different departments.

Would you like to explore:

• How to assess AI ROI and capacity gains relative to your current headcount
• A deeper comparison between point workforce intelligence tools vs. native HRIS suites