Every GBS function faces the same threat: if you cannot demonstrate measurable value, the board will question whether the work should be outsourced. KYP.ai captures how shared services operations actually get done, across every function, geography, and team, and quantifies what every inefficiency costs. SPS now walks into stakeholder conversations with quantified hours saved by function. That is the difference.
Shared services operations span multiple geographies, teams, and systems. Process standardisation stalls because nobody can see how work actually varies. KYP.ai captures 100% of how work flows across desktops, applications, and teams.
Qatar Airways deployed process intelligence across their GBS function spanning 12 countries. SPS benchmarked 8,500 employees across 20 countries. For the first time, leadership could see actual work patterns, not assumptions.
GBS leaders know they have improvement potential. They rarely know exactly where or what it is worth. KYP.ai’s Business Transformation Engine quantifies inefficiencies by function and calculates automation ROI, distinguishing what can be automated from what should be automated.
SPS achieved 50% reduction in administrative alignment work, 25% improvement in productive capacity, and a 13 percentage point shift from administrative to value-adding activity.
Shared services investing in AI need business context their agents can act on. KYP.ai generates production-ready agent code from observed process behaviour.
Platform agnostic by design: deployable on UiPath, SAP Joule, n8n, Camunda, Power Automate, ServiceNow, or whatever you already run. No lock-in.
Via MCP (Model Context Protocol), process intelligence becomes a structured data source any AI agent can query at runtime.
Operational visibility
Quarterly reports and management estimates
Real-time view across every function, team, and geography
Value proof
Narrative-based reports to the board
Quantified savings by function (SPS: CX 874h/month, Finance 599h/month, HR 496h/month)
Process standardisation
Stalled because nobody can see how work varies
Data-driven comparison across locations with standardisation roadmap
Automation prioritisation
Wish list without dollar values
ROI-quantified pipeline, should-vs-could distinction
Cross-geography benchmarking
Incomparable metrics across different centres
Process-level comparison normalised for comparison
Time to value
12-18 months before measurable returns
Qatar Airways: 2-month self-funded ROI
50%+ reduction in admin work
SPS (administrative alignment time)
874h/month CX savings
SPS (8,500 employees, 20 countries)
2-month self-funded ROI
Qatar Airways GBS (vs 18-24 month industry norm)
3.0x ROI
Allied Global (value in 90 days)














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GBS leaders need quantified evidence of what shared services delivers. KYP.ai captures how work actually runs across every function and provides verified savings data. SPS quantified savings across CX (874h/month), Finance (599h/month), HR (496h/month), and SCM (543h/month) across 8,500 employees. That level of specificity replaces narrative with evidence.
The same process runs differently in every country. KYP.ai captures execution data across locations, normalises it for comparison, and identifies where the same process performs better or worse. Qatar Airways deployed across 12 countries. SPS benchmarked 20 countries. The data shows exactly where standardisation unlocks the most value.
Setup takes minutes. Deployments go live in days. Statistically relevant insights arrive within 3 weeks. Qatar Airways achieved a self-funded ROI within 2 months. Allied Global realised value in 90 days with a 3.0x ROI. Most environments see measurable returns within 90 days. BOOK A DEMO to see what that looks like for your shared services.
KYP.ai is privacy-by-design. Sensitive data is anonymised at source, on the workstation, before it ever leaves the device. No sensitive information processed or transferred externally. Granular configuration lets each country or function define exactly what is captured. GDPR, SOC2 Type II, and ISO27001 compliant. Less than 2% CPU utilisation.
KYP.ai captures process execution at the human-behaviour level, independent of underlying technology. This means GBS leaders can compare process performance across centres running different systems. SPS consolidated two systems into one integrated data layer. Same processes, comparable data.
KYP.ai generates production-ready agent code from observed process behaviour. The code is platform agnostic by design, deployable on UiPath, SAP Joule, n8n, Camunda, ServiceNow, or any other platform. Via MCP (Model Context Protocol), process intelligence becomes a structured data source AI agents can query at runtime. No lock-in.
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Performing value stream mapping manually for all those processes with a team of 5 people would approximately take me 15 years. KYP.ai's process discovery module enabled capturing events data digitally and remotely, thus enabling digital value stream mapping at scale.
Krishna RS Director and Head of Operational Excellence, Mindsprint