BEYOND ESSENTIALS
This blog is based on one of the use cases from the UNITED VARS Insight Brief ‘AI Across Borders: What Works, What Fails, and Why’.
AI is moving from pilot projects to everyday business processes across SAP environments. Most mid-market companies now need to identify where it creates the most value first – and supplier qualification is one of the most common starting points.
AI succeeds in SAP environments when three conditions are in place before deployment: clean, harmonized data; a defined, repeatable process; and governance – access controls, audit trails, human oversight – built in from the start.
That's the pattern behind every successful deployment in the UNITED VARS Insight Brief, based on real projects from UNITED VARS members across maintenance, supplier compliance, and customer service. The same brief documents where AI fails: on inconsistent data, undefined workflows, or governance added after launch.
For a mid-market company, this matters more than for an enterprise without a large in-house AI team to catch problems after the fact. Getting the foundation right the first time keeps AI in production instead of quietly abandoned.
Three deployments from the UNITED VARS alliance show what this looks like in practice.
DOWNLOAD THE FULL AI INSIGHT BRIEF HERE →
AI improves customer-facing processes by classifying and routing incoming requests automatically and drafting responses for agents to review, cutting the time spent manually triaging every ticket before it reaches the right person.
UNITED VARS member All for One CX deploys the built-in AI capabilities in SAP Sales and Service Cloud as the starting point for this, working with data already in the client's SAP system rather than a separate tool. Agents review AI-generated drafts instead of writing from scratch, and a knowledge Q&A layer lets them query internal documents in plain language, with source references attached. Based on projections from All for One CX customer engagements, average handling time can fall by up to 20%, with agent ticket capacity increasing by 10 to 30%.
"AI doesn't fix a broken process. The foundation has to be good data and well-designed workflows. Once those are in place, AI can raise efficiency and take over the steps that slow your team down." – Sascha Weissenborn, Presales Consultant, All for One CX
For a mid-market company running a centralized service team across several countries, this means agents can support customers in multiple languages without needing local-language staff in every market.
HOW SERVICE TEAMS RESPOND FASTER WITH SAP BUSINESS AI →
AI solves maintenance bottlenecks by putting scattered documentation, equipment history, and technician know-how into a single conversational interface, so knowledge doesn't leave when experienced staff do.
That's the problem UNITED VARS member SOA People Denmark set out to fix with its AI agent, Ask Odin, built on SAP Plant Maintenance. Technicians interact with SAP through natural conversation instead of navigating screens: checking spare-part availability, pulling repair guidance, and logging time and stock use, all in the same flow. Organizations using Ask Odin have seen up to a 5% increase in plant throughput through higher Overall Equipment Effectiveness.
"We can roll this out to plants anywhere in the world in the local languages, and tailored to how each plant runs, while keeping the overall approach consistent. That's a major strength of the UNITED VARS alliance." – Lars Bork Dylander, Managing Director, SOA People Denmark
For a mid-market manufacturer running plants across several countries with a lean maintenance team, this means expertise stays consistent even as experienced technicians retire, and frontline workers don't lose time hunting through disconnected systems.
HOW ASK ODIN IMPROVES OEE & RESOLVES ISSUES FASTER →
AI speeds up supplier compliance by reading uploaded certificates, running pre-defined checks automatically, and triggering requalification on schedule, replacing an email-based process that depends on someone remembering to follow up.
UNITED VARS member Answerthink built EzSupplier™ to solve exactly this for mid-market manufacturers that outsource production or source raw materials from third parties. SAP Business AI extracts the relevant information from uploaded certificates before anything reaches the quality team, and structured approval workflows replace email chains with a full audit trail. Based on Answerthink's client deployments, supplier onboarding moves from an open-ended manual process to a target of four to eight weeks.
"Low-code AI means the business isn't waiting on a developer every time a regulation changes or a new geography comes in scope. A business analyst can extend the questionnaire and make it live. That's the real value: the ability to adapt without a backlog of change requests every time." – Mukesh Bablani, Associate Principal, Answerthink
For a mid-market company operating in multiple regulatory environments, this means audit readiness stops being a scramble every few years and becomes something the system handles on its own schedule.
HOW EzSupplier™ CUTS SUPPLIER ONBOARDING TO WEEKS →
You scale AI across countries by keeping the underlying approach consistent while letting local experts adapt the details – language, regulatory requirements, and how each site or market actually works – to each country.
This is the pattern across all three deployments above. Ask Odin already supports multiple languages and can read documentation in one language while responding in another; what needs local configuration is how each plant runs. EzSupplier's questionnaires and regulatory checks are extended locally without a development project. All for One CX's customer-facing AI still requires privacy rules, audit expectations, and works council requirements to be addressed market by market before a global template rolls out.
A single central team rarely has this local depth in every market a mid-market company operates in. That's the gap UNITED VARS members close: 70 hand-picked local market leaders, working as one alliance across 100+ countries, so a global rollout stays consistent without losing local accuracy.
This use case is one of the examples of successful global AI from the UNITED VARS Insight Brief, ‘AI Across Borders: What Works, What Fails, and Why’.
This AI Insight Brief is useful for UNITED VARS members and their clients: CIOs, CFOs, and technical project leaders at mid-market global companies.
Download it here for insights from our global alliance into successfully scaling AI.
Mid-sized companies should go global without losing speed or local identity. UNITED VARS brings together hand-picked local market leaders with real people on the ground in 100+ countries to remove legal, cultural, and language barriers. As a strategic alliance, UNITED VARS provides clear accountability from start to finish. UNITED VARS is the world's only SAP Platinum Partner alliance, delivering end-to-end SAP services for the mid-market.
stronger than one.