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SmartData Collective > Big Data > Implementing a Cohesive Approach to Agile Portfolio Management
Big DataExclusive

Implementing a Cohesive Approach to Agile Portfolio Management

SAFe, LeSS, or Disciplined Agile: how to pick a scaling framework, and why AI is changing what portfolio governance actually means in 2026.

Matt Bertram
Last updated: September 13, 2026 2:13 pm
Matt Bertram
6 Min Read
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Agile is now a default, well-established practice, fully or partly incorporated into most companies. Why? The reason is that Agile project management practices work and have proven effective. Digital.ai’s 18th State of Agile Report found that AI adoption within agile practices surged from 68% to 84% in a single year, a sign of how fast the discipline keeps evolving even after two decades of mainstream use.

Contents
  • What is Agile Portfolio Management?
  • Principles of Agile Portfolio Management
  • The Main Steps of Agile Portfolio Management
    • Step 1. Portfolio audit
    • Step 2. Creating agile portfolio
    • Step 3. Launching Agile portfolio
  • Choosing the Right Scaling Framework: SAFe, LeSS, or Disciplined Agile
    • Why Agile Portfolio Management Matters More in 2026
    • Agile Portfolio Management Must Be Properly Instituted

Agile as a mindset and philosophy gets deep into every team and can be integrated into any environment. Agile development is a core part of many organizations these days, due to this multi-faceted viewpoint. This article is about the phenomenon of Agile Portfolio Management, its benefits, and a step-by-step plan of how to implement it.

What is Agile Portfolio Management?

You already know how to work with projects implementing best-working Agile frameworks like Scrum or Kanban, or something else. And what if there are many projects in the company? Here you need Agile Portfolio Management.

In two words, a portfolio represents a collection of all projects and products that the company is working on to achieve strategic business goals.

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The larger the company, the more challenging it is to track all internal processes, and the higher are the risks of improper resource allocation, and that will likely lead to cost overruns, missed deadlines, and a lower quality of the company’s work. Proper portfolio management helps to prevent such situations. This is why more companies are taken data-driven approaches to software development.

Agile portfolio management is the key to avoid issues with synchronization in the teams arising from a complex company structure and a large number of projects.

Applying Agile practices to the portfolio management strategy helps to set the right priorities in the company, maximize the speed of product release, adapt to market changes, and significantly increase customers’ confidence in the products of the company. These things give your company an essential advantage and help to create connected business infrastructure and stay competitive in today’s economy.

Principles of Agile Portfolio Management

Agile methodology is important, but can be difficult to implement properly. While implementing Agile into Portfolio Management, there are three main principles:

  • Iterative approach. Planning and dividing tasks into equal sprints is a key point. Such long-term planning is essential for agile teams to work together and share their feedback. While working on a project, teams are free to choose the optimal workload, deadlines and resource allocation. It helps them to achieve flexibility in work and focus on having tangible results in accordance with the company’s development strategy.
  • Sharing knowledge about the projects. It encourages people to overcome the silos between teams working on different projects. To adopt such sharing knowledge practice, start with team meetings at organizational level, to build trust and respect among colleagues at different levels, a sense of shared responsibility, and smooth transparent work across the organization.
  • Shorter releases. To have detailed information about every project, the teams should have consistent sprint cycles, create a reliable API, automated testing chains and product deployment.

The Main Steps of Agile Portfolio Management

Step 1. Portfolio audit

To clearly understand which of your projects is the most valuable and which one brings you losses, the very first step is a general projects audit. Study every project of the company, give priority, and collect them into one or several portfolios. Match the value of each project with the company’s strategy and market demand.

Step 2. Creating agile portfolio

At this stage, it is essential to assess possible risks and allocate resources between projects to avoid costs and technical shortcomings. Create an Agile portfolio to reduce the cost of delays, taking into account the business goals, budget, and company strategy.

Step 3. Launching Agile portfolio

Think of managing all projects together and arrange Agile/ITSM training sessions for the teams. Implement an iterative approach not only to your projects but also to investment. Analyze value to your customers at every stage of product development, ensuring that investments work over the long term. Building a smart Agile portfolio benefits from the right software and infrastructure. Agile program tools like Jira help set the right priorities for a company’s projects, taking into account its strategy. They also help organize collaborative work and share knowledge of every project. Many portfolio tools now layer AI-assisted prioritization on top of tools like Jira, surfacing suggestions the team still has to weigh.

Choosing the Right Scaling Framework: SAFe, LeSS, or Disciplined Agile

No single framework wins on merit alone. The right choice depends on how your organization is shaped, how mature your teams already are, and how much structure your leadership actually wants.

SAFe remains the most established option at enterprise scale, and that recognition matters when you need executive buy-in. It synchronizes teams around a shared Program Increment cadence, typically running every 10 weeks, which gives planning and budgeting cycles something predictable to attach to. That structure suits large enterprises with layered hierarchies. It also sets a floor on size: a single Agile Release Train becomes awkward below roughly 50 people, so smaller groups end up carrying ceremony they don’t need.

LeSS pulls in the opposite direction. It scales down cleanly to as few as two teams and deliberately refuses to add management layers as the organization grows. The tradeoff is that it asks a lot upfront. Continuous integration and test-driven development are treated as non-negotiable, and a strong product mindset has to already exist. Organizations with high agile maturity tend to thrive here. Those still building engineering discipline usually struggle.

Disciplined Agile takes a different stance altogether. Rather than prescribing one way to work, it offers a toolkit, letting teams select practices from multiple methodologies based on their own context. You trade some of the structure and shared vocabulary of a prescriptive framework for flexibility that fits your situation more precisely.

Most organizations land somewhere between these three anyway. Digital.ai’s 18th State of Agile Report found that 74% now run hybrid, blended, or homegrown models instead of adopting a named framework wholesale. Treat the comparison below as a starting point for what to borrow, not a menu of three fixed choices.

FrameworkBest FitCoordination ModelTechnical Expectations
SAFeLarge enterprises, structured hierarchies, ~50+ people per release trainShared Program Increment cadence, roughly every 10 weeksBuilt-in DevOps and continuous delivery guidance
LeSSHigh-maturity organizations, as few as 2 teamsContinuous coordination, no added management layersNon-negotiable: continuous integration, test-driven development
Disciplined AgileOrganizations that want to mix practices to fit contextToolkit approach, no single prescribed cadenceVaries by the practices an organization selects

Why Agile Portfolio Management Matters More in 2026

Agile project management is the art of gaining maximum value from projects using an iterative and flexible approach. People, their collaborative work, and their readiness to change priorities toward common corporate goals matter more than following rigid plans. With it, you can see the real picture and understand how to meet customer demands and stay competitive. In 2026, AI’s speed tests this discipline: the harder question is whether teams are validating safety, security, and purpose, not whether they can build on time. That is exactly why portfolio-level governance still matters even as AI speeds up delivery.

“The bottleneck has moved. The challenge for organizations is no longer whether they can build something in the time available. Rather, it is keeping up with the need to validate whether what they are building is safe, secure, and valuable.”

Andrew Sales, Chief Methodologist, Scaled Agile, in PR Newswire, June 2026

Agile Portfolio Management Must Be Properly Instituted

As companies grow and adopt Agile practices, it’s essential to align new approaches to their Portfolio Management. Agility at the enterprise level helps companies become stronger and more adaptable as AI accelerates changes in products and workflows. With Agile Portfolio Management, we can see collaborative and transparent work at every level of the organization. This work is aimed at achieving the strategic goals of the company.

TAGGED:agile developmentagile portfolio managementagile software developmentartificial intelligence
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ByMatt Bertram
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MATT BERTRAM, C.P.C., is the Co-Host of the most popular SEO podcast on iTunes. He is the Lead Digital Marketing Strategist and CEO at eWebResults, a top internet marketing agency since 1999 focused on driving traffic though multi-channel marketing built on Organic SEO as the backbone.

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