Automated Decision-Making Consultancy

In today's fast-changing economy, making accurate, data-driven decisions rapidly might mean the difference between success and stagnation. Our Automated Decision-Making (ADM) expertise allows your organisation to face this challenge with confidence. We deliver customised advice that not only streamlines your decision-making processes but also uncovers opportunities for growth and efficiency previously untapped. Discover how our consultancy can transform your data and AI systems into your most valuable asset.

Compass

29 November 2023 9-minute read

Why Outsource Rather Than In-House Expertise?

  • Expertise and specialisation: We contribute specialised knowledge in Artificial Intelligence (AI) and automated decision-making that may not be available in-house.
  • Focus on core business: Outsourcing enables organisations to focus on their core capabilities, which are critical for their growth and success.
  • Rapid implementation: We can usually execute solutions faster than internal teams since our focus moves us up the learning curve. This speed might be critical for staying ahead of the competition in a market.
  • Resource efficiency: Developing in-house expertise in the automation of decisions can require significant time and financial investment in training and development. In contrast, we provide rapid access to the relevant knowledge, skills, and technologies.
  • Scalability and flexibility: Our consulting services can be scaled up or down, offering greater flexibility than recruiting your own employees.
  • Long-term cost-effectiveness: In the long term, external consultancy will also be more cost-effective than creating in-house capability, partly because of the greater flexibility.
  • Objective perspective: We offer a fresh, unbiased view of your organisation's difficulties and prospects. We are not influenced by internal politics or biases, which allows us to be more objective.

How Our Consulting Services Enhance Your ADM Capabilities

1. Gap Analysis

We begin by deeply analysing both the processes and the organisation's strategy using process mining and our ADM maturity ladder. This assessment pinpoints the organisation's position on the maturity scale and identifies gaps between the current state and desired outcomes. The insights gained from this gap analysis serve as the foundation for an action plan aimed at increasing maturity. Furthermore, this plan summarises the organisation's performance and areas for improvement.

2. Developing an ADM Portfolio

During this phase, we work on developing a portfolio of potential ADM projects. We explore the what and why of these initiatives. In addition, we assess the impact of integrating AI technology with human factors within the organisation, which is commonly done through an interactive workshop. Our assistance includes evaluating possible ADM projects, such as calculating the estimated Return on Investment (ROI) to avoid overinvestment. The ultimate purpose of this portfolio is to select and prioritise projects.

3. Establishing a Strategic Roadmap

The strategic roadmap is based on the portfolio decisions and illustrates the chosen strategy with clearly defining the timeline. This describes when and how. In addition, this determines the overall strategy for stakeholders by articulating how each project contributes to strategic objectives.

4. Pilot Project Launch

Our approach includes launching a small-scale pilot project, a so-called baseline model, to test the viability of ADM concepts. Effective requirements management is crucial, ensuring that projects align with stakeholder needs and organisation goals. This stage is vital for fine-tuning the ADM system, selecting optimal data and algorithms, and conducting a compliance audit to adhere with regulations like the AI Act and GDPR.

5. Optimisation and Implementation

Following the pilot project, we carried out a detailed evaluation to identify challenges and update the strategic roadmap as necessary. In this phase, we will iteratively refine the model, using the baseline model as a reference. This continuous feedback loop is crucial for ensuring that the project is aligned with organisational goals. With these modifications, we began full implementation, upgrading processes, training people, and monitoring changes.

How Do We Differ from Other Services?

  • Holistic approach: We employ a holistic strategy, concentrating not only on technology but also on cultural, regulatory, and operational shifts.
  • Customisation: We are not fans of one-size-fits-all solutions. Our recommendations are tailored to your organisation's specific goals and challenges.
  • Collaborative approach: We see the client as a strategic partner and go beyond simply providing the concrete assignment by thinking positively and critically about how the organisation may be improved further.
  • Ethics and governance: We make sure that ADM solutions are not only successful but also ethical and consistent with (future) regulations.
  • Independent: Symbio6 has no ties to software firms and a healthy aversion to vendor lock-ins. We place a high value on unbiased counsel.
  • Short turnaround: We like short communication lines and get right to work, which means we frequently deliver recommendations much faster than our colleagues.

Example: Improving Recruitment with Automated HRM

Client: A rising technological company faces the labour-intensive recruiting of fresh employees.

Problem: Slow and inefficient hiring processes.

Our five-step approach:

  1. Gap analysis: We conducted an in-depth analysis of the company's current recruitment procedures, aligning them with our ADM maturity ladder. This revealed that the company was at an initial level. Our analysis helped identify the critical gaps between their current operations and strategic HRM objectives.
  2. Developing an ADM portfolio: We compiled a portfolio of potential ADM solutions tailored to streamline the recruitment process. This included a detailed evaluation of each solution, emphasising their projected Return on Investment (ROI). Key initiatives included advanced algorithms for resume scanning and candidate matching.
  3. Establishing a strategic roadmap: Based on the selected ADM projects, we developed a strategic roadmap. These visually represented the strategic decisions and planning, providing clarity to all stakeholders on how each project would contribute to achieving the strategic HRM objectives.
  4. Pilot project launch: A pilot project was launched to test the practicality of selected ADM concepts. This involved setting up a simple model to assess the effectiveness of AI methods and datasets in scanning resumes and matching candidates. We also conducted a compliance audit to ensure adherence to relevant regulations.
  5. Optimisation and implementation: Following the pilot, we performed an evaluation and updated the strategic roadmap. We iteratively refined the model. Then we proceeded with full implementation, which included upgrading recruitment processes, training HR staff, and monitoring changes.

By integrating ADM into their recruitment processes, our client achieved quicker and more precise candidate selection, leading to improved hiring quality and reduced employee turnover. Because of the ADM system's increased efficiency, HR staff can now devote more time to strategic initiatives.

More ADM examples »

The Target Group for Our Consultancy Service

Looking for ADM expertise

Complexity, a lack of time, or experience are frequently the reasons to seek advice from Symbio6. When it comes to mining hidden knowledge or internal resistance to AI or third-party advice (not-invented-here syndrome), we take on a different role. In these cases, we organise internal workshops and then focus on facilitating the process. We will gladly schedule a no-obligation meeting with you to explore the best task division and working methods for your particular situation.

Scope of the Assignment

The extent to which an organisation has implemented ADM and AI will determine the breadth of the assignment. Start-up organisations often have a broad scope. Organisations that are already further along usually start working on the obstacles they encounter to further automate decision-making.

“Symbio6's expert guidance significantly enhanced our decision-making and operational strategies.”

Transform your organisation today and leave behind outdated decision-making methods. Embrace the power of data-driven intelligence with our cutting-edge automated solutions. Ready to see the difference? Reach out to our consultants now for a commitment-free discussion and take the first step towards smarter, faster, and more efficient decision-making and unlock your organisation's full potential.

Frequently Asked Questions

Our consultancy does not limit its services to a single field. We have ongoing projects in various sectors, including HRM, marketing, and government policy.

Absolutely. Our belief is that organisations of any size can enhance their decision-making processes. Our scalable solutions are designed to cater to the unique needs and resources of both small and medium-sized organisations.

Our approach is highly customised. We engage in in-depth discussions with our clients to fully understand their unique challenges. This allows us to tailor our solutions to the specific needs of each sector we serve.

Understanding your organisation's core values and objectives is our starting point. This ensures that the solutions we develop are not only powered by advanced data analytics but are also a perfect fit with your organisation's culture.

Costs vary based on the project's complexity and scope. We provide detailed breakdowns in our quotes, offering various options to suit your preferences and budget. We also offer fixed pricing to ensure there are no surprises afterwards.

Yes, we adhere a stringent data protection policy to ensure the confidentiality and security of your data.

The timeline for observable improvements varies depending on the project's complexity and the extent of implementation. Generally, clients begin to see enhancements in efficiency and decision-making from a few weeks to a few months after implementation.