AI in Source-to-Pay
AI: from opportunities to real value.
AI offers new opportunities within Source-to-Pay. We show where and how AI adds value, and guide organisations from promising idea to successful application and measurable result.
AI doesn’t start with technology, but with the right question.
We know Source-to-Pay from strategy to day-to-day practice. That means we can assess where and how AI can genuinely improve processes and what it takes to make initiatives succeed. From identifying and prioritising use cases to build, implementation and rollout.
Why Spendlinq for AI in Source-to-Pay.
Three reasons why we can make AI really work for you.
S2P expertise as the foundation for AI
We know the S2P process inside out, which is essential for using AI in the right way. We also keep risks and ethics firmly in view and have knowledge of best practice AI applications.
From opportunity to realisation
Our AI experts connect strategy and objectives to technology. From identifying and prioritising AI use cases to design, build, integration, pilot and rollout.
Value you can demonstrate
From the start, we look at feasibility, risks, adoption and expected value. With KPIs and benefits tracking, we make the results of AI measurable.
AI Opportunities & Readiness Scan
Know where AI really adds value within Source to Pay.
We map out promising AI applications and at the same time assess how ready your processes, data, technology and organisation are to apply them successfully.
When is this relevant?
If you want to deploy AI in a targeted way but don’t yet have enough insight into where the biggest opportunities lie. Or if there are already various ideas and initiatives, but a coherent picture and clear priorities are missing.
What we do
- End-to-end S2P process and data scan
- AI readiness assessment
- Inventory and classification of AI use cases
- Stakeholder interviews and workshops
- Analysis of bottlenecks and value creation opportunities.
What it delivers
- An overview of relevant AI opportunities
- Insight into the readiness of processes, data and organisation
- An initial value hypothesis
- A well-founded basis for prioritisation.
Use Cases, Business Case & Roadmap
Invest in the AI applications with the most value and feasibility.
Not every use case deserves the same priority. Our experts assess applications on value, effort, feasibility, risk and dependencies, and translate the best opportunities into a well-founded business case and roadmap.
When is this relevant?
If several AI opportunities have been identified and you want to determine, on solid grounds, which applications deserve attention and investment first. The question may also arise whether existing technology is sufficient, an external solution is needed or building it yourself is the best option.
What we do
- Scoring and prioritisation of AI use cases
- Business case and ROI analysis
- Analysis of risk, dependencies and impact
- Integration analysis and exploration of the technology landscape
- Build-versus-buy assessment
- Selection and scope of pilot or MVP.
What it delivers
- Prioritised AI use cases
- Well-founded business case and ROI
- A realistic roadmap
- Insight into technology options and dependencies
- Clear scope for a pilot or MVP.
Design & Realisation
From promising idea to a solution that works in practice.
Our experts translate selected use cases into concrete AI solutions that fit your processes, data and technology landscape. As an S2P specialist, we guide the design, development, integration, testing and validation.
When is this relevant?
When a use case is sufficiently substantiated and you want to move from idea to a working application. For example, with a pilot or MVP to test in practice whether the solution works, is feasible and adds value.
What we do
- Requirements and user stories
- Solution and data architecture design
- Design of prompts, workflows and AI agents
- Integration design and data flows
- Support with configuration and development
- Testing and validating the pilot or MVP
- Security, privacy and compliance by design
What it delivers
- A validated pilot or MVP
- A clear solution and integration design
- Insight into how it works, its feasibility and points for attention
- A concrete basis for further scaling.
AI governance & Operating Model
Clear frameworks for responsible and controlled use of AI.
As AI takes on a bigger role, ownership, decision-making and risk management become ever more important. We help you set up governance and the operating model so that AI can be applied and scaled responsibly in your organisation.
When is this relevant?
When AI applications move from experimental to structural use, several initiatives emerge side by side, or you need more clarity on roles, responsibilities, risks and decision-making.
What we do
- Roles, responsibilities and decision-making
- Governance and risk frameworks
- Security, privacy and compliance
- Human oversight and transparency
- Setting up the operating model.
What it delivers
- Clear roles and responsibilities
- Clear frameworks for decision-making and control
- Control of risks, privacy and compliance
- A workable operating model for further scaling.
Adoption & Value Realisation
Towards lasting use and value from AI.
The value of AI only emerges when applications become part of everyday work and the intended results are actually achieved. Our experts guide the change, support users and make performance, adoption and value measurable.
When is this relevant?
When an AI solution is being implemented or scaled and calls for new knowledge, behaviour or ways of working. Or when you want better control over usage, performance and realised benefits.
What we do
- Change management and communication
- Training and development of AI skills
- Adoption and user support
- Performance tracking and KPI management
- Value realisation and benefits tracking
- Continuous improvement and scaling.
What it delivers
- Employees who use AI effectively and responsibly
- Insight into adoption, performance and realised value
- Targeted improvement based on results
- A well-founded basis for further scaling.
AI in Source to Pay in practice
Hands-on experience, specialist knowledge and an approach focused on results.