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Resulting Delivers AI-Accelerated Data Migration for Discovery Silver's Greenfield S/4HANA Implementation

SAP Mining S/4HANA implementation

Industry

Mining, Oil & Gas

Challenge

Discovery Silver needed to migrate complex data from an existing S/4HANA system into a new greenfield implementation by a fixed regulatory deadline, with no room for delay and no tolerance for errors in the target system.

Results

A single Resulting consultant, working with S4SensAI, replaced a four-person team from a large systems integrator – delivering faster, more accurate data migration output and keeping Discovery Silver firmly on track for their regulatory go-live.

S4SensAI

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About Discovery Silver

Discovery Silver Corp is a North American precious metals company with gold production assets in Ontario, Canada, and 100% ownership of the Cordero silver project in Chihuahua, Mexico.

The Challenge

Data migration on a greenfield S/4HANA implementation is rarely straightforward. You're not just moving data, you're analyzing it, cleansing it, transforming it into the right structure, and loading it into a new system that needs to work from day one.

For Discovery Silver's PS/EPPM workstream, the complexity was significant. The data had to be extracted from an existing S/4HANA environment, validated for accuracy, restructured to meet the requirements of the new system, and loaded without errors  all within a regulatory deadline that couldn't shift.

The traditional approach to this kind of work is expensive and slow. Large consulting teams, lengthy analysis cycles, and months of iterative rework are the norm. Discovery Silver needed a better way.

Resulting Solution

Resulting deployed a single consultant supported by S4SensAI (Resulting's AI solution built specifically for SAP S/4HANA programmes) to lead the PS/EPPM data migration workstream end to end.

S4SensAI transformed the way data migration work was performed. Tasks that previously required weeks or months of manual analysis, cleansing, and transformation were completed in hours. The AI worked alongside the consultant to accelerate every stage of the data migration lifecycle:

  • Data transformation restructuring legacy data into the formats required by the new S/4HANA system
  • Data analysis  rapidly identifying patterns, anomalies, and gaps in the source data
  • Data cleansing  removing errors and inconsistencies before they reached the target system
  • Data validation  checking load files for accuracy and completeness before each upload
  • Data training  building understanding of the data model and its business context

One of the most tangible examples of what S4SensAI made possible: the WBS Elements load file  a complex, business-critical component of the PS/EPPM workstream  was built in two hours. The same task, completed without AI in 2022, took three months.

S4SensAI also changed how the consultant interacted with the data. Rather than relying on technical language and complex manual processes, instructions and queries were issued in plain English, making the work faster, more accessible, and easier to review and iterate.

The consultant replaced a team of four from a large systems integrator on this workstream and delivered more accurate output, in less time, at a fraction of the cost.

Benefits Delivered

The results spoke for themselves. A single Resulting consultant with S4SensAI replaced a team of four from a large systems integrator  and delivered higher quality output, faster.

Speed at a scale that changes the programme: Tasks measured in months became tasks measured in hours. With a fixed regulatory go-live date of 6th July, that speed wasn't just commercially attractive, it was essential.

Quality that stands up to scrutiny: Load files were generated accurately and loaded into the new system without errors. The combination of AI analysis and consultant oversight produced consistently clean output.

Significant cost reduction: One consultant doing the work of four is not a marginal efficiency gain, it's a fundamental change in the economics of data migration delivery. Discovery Silver received more value for less cost.

Accessibility without compromise: The ability to instruct S4SensAI in natural language, rather than technical commands, meant the work remained transparent and reviewable, without sacrificing rigour.

Regulatory deadline met with confidence: Discovery Silver's programme stayed on track for a go-live that had to happen on time. S4SensAI removed the delivery risk that typically comes with complex data migration work.

Conclusion

Data migration is one of the most consistently underestimated challenges on any SAP implementation. It's time-consuming, technically demanding, and expensive when done the traditional way. Discovery Silver's PS/EPPM workstream shows what's possible when you combine experienced SAP consultancy with the right AI.

S4SensAI doesn't replace expertise. It amplifies it. One consultant, the right tool, and a clear methodology delivered results that a team of four couldn't have matched in the same timeframe.

If your SAP programme has a data migration challenge or a deadline that isn't moving  talk to us.

Ready to rethink your SAP data migration approach?

Book an S4SensAI demo