When Nesma & Partners' procurement team ran the assistant against their live RFQ packages, tabulation time dropped by 85%, from an average of three days to under four hours per package. Quotes arriving in a dozen different formats, units, and scopes were ingested and normalized automatically into a single decision-ready comparison, freeing engineers from days of manual spreadsheet work. Just as importantly, the tool surfaced what manual review routinely misses: the quiet scope exclusions and spec substitutions that turn a "cheapest" bid into the most expensive one once the project is underway. Instead of racing to reconcile spreadsheets before the award deadline, buyers spent their time weighing vendors on a clear commercial and technical footing, moving from tabulating to deciding with confidence.
Almosafer's booking traffic surges around peak travel and Umrah seasons, which had left capacity provisioned for the peak and quietly paying for it all year. The FinOps layer continuously monitored spend across every service, right-sized over-provisioned instances, cleared orphaned and idle resources, and rebalanced reserved against on-demand capacity to match actual traffic rather than the worst-case forecast. Just as importantly, anomalous spend was flagged and traced to its source before it compounded into the next month's bill, instead of surfacing weeks later in a billing review. Engineers stopped guessing at capacity and over-buying for safety, and the platform settled into a footprint that scales with real booking demand, paying for the traffic it actually serves rather than the peak it rarely sees.
Regulated health-tech in KSA usually stalls in sequence: teams build first, then discover what PDPL, in-kingdom data-residency rules, SFDA device classification, and NPHIES interoperability standards actually demand, and only then rebuild the product to fit. This MVP ran all three tracks together from day one: the data architecture was designed against PDPL and residency requirements before the first feature shipped, product scope was mapped early to whether it fell under SFDA medical-device oversight, and health-data exchange was built to NPHIES standards rather than retrofitted late. Instead of discovering constraints after the fact and reworking finished features, the team cleared compliance in step with the build. The result was a launch-ready platform in five months, not the year-plus a build-then-remediate path usually costs.
Augmented 16 specialists to close the client's capability gaps while reducing their HR and compliance overhead to zero.
Eight MEP modeling engineers who delivered project workstreams on schedule, hitting 100% milestone adherence with all compliance managed by Cyberstack.
three deployed engineers supported active software maintainance with 100% payroll and regulatory compliance handled end to end.
AI response and qualification of every inbound inquiry resulting in a 6% to 11% increase in lead-to-viewing conversion.
9% reduction of no-show rates through GenAI predictive analytics and automated rescheduling workflows.
30% less concrete demolished per non-conformance for the plant, by building a batch-level model that pinpoints which pours a failing strength test came from.
Transformed the client's digital infrastructure to ARAMCO SACS-002 standards, achieving Aramco cybersecurity certification on first audit with zero major non-conformities.
Ran an end-to-end SACS-002 readiness engagement (classification, 86-control gap assessment, remediation, and audit-ready evidence package) that took the client from initial gap assessment to audit readiness.
Automated lead-to-sales SMS routing lifted lead-to-appointment conversion by 28% and dropped response time to under two minutes.
Delivered full SACS-002 remediation across all 86 general and ICT-specific controls and a validated evidence package, achieving audit readiness within a single engagement cycle.
