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🚀 The Future of Work is Here – Introducing SOWNA! 🚀

Imagine an organization where human and intelligent systems work harmoniously to optimize every process, task, and decision. Self-organizing dynamic Work Nodes Architecture (SOWNA) is set to transform how companies operate—eliminating inefficiencies, bias, and outdated decision-making processes.

🌐 SOWNA:

• Prioritizes tasks based on real-time data
• Connects seamlessly with teams to ensure the right person is on the right task
• Removes internal politics, personal agendas, and bias
• Creates transparent, data-driven hiring pipelines that predict high-performance candidates

Curious how this works? I’ve outlined the vision and how your organization can be part of the open-source movement. It’s time to rethink how we work!

👀 Read more in my latest post and learn how we’re revolutionizing the future of work.

In the near future, organizations will operate in a new way, taking advantage of data science and advanced work algorithms. Intelligent systems will connect external market data with internal business information to create a modern approach to organizing work. The Self-Organizing Dynamic Work Nodes Architecture (SOWNA) serves as the operational backbone, using Holocracy as its foundation. Alongside a new AI infrastructure, SOWNA takes into account every conversation, chat, and team meeting to update a prediction model that acts as the central nervous system for the entire organization.

SOWNA eliminates internal bureaucracy, reducing lag and outdated decision-making based on siloed insights. This leads to the removal of wasted effort, rework, and the disconnectedness employees often feel.

Everyone in the organization will have real-time access to the company’s vitals. SOWNA prioritizes, packages, and assigns tasks to the correct circle or team, assessing and ensuring a fair and transparent way to measure each person’s and team’s contribution.

As SOWNA evolves, it dynamically shifts human tasks to the right person at the right time and offloads system tasks to the AI. Both learn and work together in a co-pilot system.

Imagine an entire organization working in harmony, constantly balancing employee growth, engagement, company KPIs, and more.

We can eliminate egos, turf wars, internal politics, personal agendas, and bias.

The Impact on Recruiting Teams

For recruiting teams, this means dynamic talent pipelines connected to every team or circle’s upcoming workflow needs. Once SOWNA predicts the upcoming workload, it classifies and packages the work, allowing the appropriate recruiting circle to act. Say goodbye to headcount confusion and budget forecasting disasters every quarter.

Hiring teams will receive real-time notifications when new human resources are needed to meet workload demands.

Candidates will have direct access to SOWNA’s role package and will already be assessed for key areas, as SOWNA’s prediction model will have screened and assessed them ahead of time.

The SOWNA System

The first step is to train SOWNA. Once the model is tuned, it identifies which circles (teams) need human involvement. These needs evolve in response to real-time external factors, and circles are structured around similar work segments.

SOWNA monitors every process and transaction, synchronizing and optimizing organizational KPIs and real-time customer and market data through Sensory Nodes. Once these nodes create a reliable predictive model, a work node is brought online, fully integrated into the new workflow.

Different departments will require different time frames to train and come online.

Example: Talent Acquisition SOWNA Circle

The Supply-Demand Algorithm Node manages the creation and distribution of work.

Meet Sara, a recruiter working from her futuristic home office with an advanced workstation connected to SOWNA. Her desk is a workstation node, integrated into the recruiting circle with clear mission statements and defined parameters. The team, along with SOWNA, defines the circle’s responsibilities, with each role owning a specific segment of work.

The Talent Acquisition (TA) SOWNA connects to all relevant data on current and future work demands. Think of SOWNA as a living brain, using past, present, and predictive models to allocate work across nodes. No two nodes are identical; they evolve like cells in a body, adapting to the organization’s needs.

What’s Missing in Today’s Workplaces?

Let me ask you: what percentage of employees in your company know exactly what they should be working on right now to meet the organization’s goals? You may say, “We have KPIs and dashboards,” but I’ve seen the lags, administrative burden, lack of clarity, and wasted time in meetings.

• Managers don’t have an accurate, real-time way to distribute work or a transparent scorecard connected to the organization’s broader objectives.
• Most companies lack a screening method that can accurately predict high-performing employees.

• 75% of employees are dissatisfied with their jobs.

• Resume reviews, behavioral interviews, and hiring panels aren’t enough to predict job success. This is a problem.

Performance reviews are losing value, becoming legally risky, and failing to measure employee contribution and value.

The Role of Bias

In my 25 years of recruitment, I’ve witnessed all kinds of bias. Off the top of my head, here are some examples of conversations I’ve had with Hiring Leaders on why they are passing on candidates for a job.

Salted meal before tasting it.

Their cologne was terrible.

They live in a bad neighborhood.

Too old to get it

Talks too fast.

She doesn’t have “it”.

The list goes on. I would be lying if I said I have not also fallen into these traps. I aligned myself with the company and team’s criteria to make my numbers, and in that process, I internalized some of these biases. This is is one of the flaws of getting measured or commissioned on speed and offers no long-term accountability. I optimized my work and energy to get the hiring manager to say yes to my candidates.

Humans rely on shortcuts to make decisions. These shortcuts are hardwired into us for survival but fail us when hiring or evaluating employees.

Here’s the truth: Resume strength, GPA, university, and years of experience—none of these factors strongly correlate with job performance, yet we continue to rely on them as outdated markers of success.

AI Is the Solution - Let's Build SOWNA Together

We need to shift our thinking about how work gets done. AI and data science are the answers. SOWNA continuously updates its predictive models, ensuring that the hiring process stays aligned with evolving work demands, managers, and organizational changes. What worked yesterday won’t work tomorrow—but AI adapts.

RecruiterDNA wants to fuel this change.

The Open-Source Project

We are launching an open-source project using data science to build a prediction model that accurately scores candidates and predicts high performance. This model will be tailored to each organization’s goals and will continuously update, retrain, and remain transparent.

What We Need

We are looking for organizations with existing performance review systems or methods for measuring the quality of hire. We need data from the application, screening, and interview processes.

The goal: to find traits or combinations of traits that correlate with high performance.

Plan B: If We Don’t Find a Strong Correlation

If we gather data but don’t find a strong predictive model, we’ll go back to the drawing board. We will find new ways to collect relevant data and reverse-engineer performance review criteria to continuously improve the prediction model until it works.

A Final Thought

I’m not the first person to attempt this, but we’re making the data accessible to everyone. From healthcare to churches, this open-source project will give organizations access to industry-specific prediction models they can use to hire the right people.

On the flip side, candidate experience and employee satisfaction should improve as well. Our model will include satisfaction data, showing candidates their predicted employee satisfaction score before they accept an offer.

Thanks for hanging in there. I know this draft needs work, but I needed to get this out of my head and into the LinkedIn Universe so it can find it's way to the right leaders.

I've created a dedicated community space for SOWNA for all who want to participate.

https://www.everythingrecruiting.com/c/sowna-posts/sowna-self-organizing-dynamic-work-nodes-architecture-open-source-project