SAP, Oracle, and API performance engineering

Release-ready performance. Delivered in hours, not months.

We test SAP, Oracle, and APIs, and we automate the scripting. Delivery is typically 10×–30× faster than a fully manual cycle.

Talk to an engineer See the results

years in delivery: 7+; years in delivery
clients served: 30+; clients served
client retention: 98%; client retention
monitoring support: 24×7; monitoring support

p95 response time

0.49s−98.6%

SAP S/4HANA
settlement run

Before: 35s
Throughput: ×3.0
Script automation: ≤ 4 hrs

Tools and platforms we run

LoadRunnerJMeterNeoLoadk6GatlingTaurusLocustBlazeMeterPostmanSeleniumDynatraceAppDynamicsDatadogNew RelicSplunkGrafanaPrometheusOpenTelemetryTerraformGitHub ActionsKubernetesSAP S/4HANAOracleSalesforceServiceNowPagerDuty

Organizations we have worked with

RCCLVFCPayodaUST GlobalAkirhsHTCWestern Union

Before and after

How the work changes

AI handles correlation, parameterization, and the first pass of analysis. Engineers decide what to test, what the numbers mean, and what ships.

StepTraditionalWith DDAI

Script design: Traditional: Days to weeks; Hours, sometimes minutes
NFR analysis: Traditional: Manual and iterative; Scenarios ranked by business risk
Correlation and parameterization: Traditional: High manual effort per script; AI-assisted, then reviewed by an engineer
SAP and enterprise automation: Traditional: Everything automated, low return; Automated only where it pays back

Client retention: 98%; Client retention
API automation turnaround: ≤ 2 hrs; API automation turnaround
SAP script automation: ≤ 4 hrs; SAP script automation
Faster delivery cycles: 10–30×; Faster delivery cycles

What that buys you: faster go-live decisions, shorter test cycles, bottlenecks found before release, and a lower cost to get there.

In motion

The same run, on screen.

Every engagement follows one flow. A missed SLA loops back through diagnosis and a fix until the numbers pass.

engagement.flowrunning

Step 01
Intake
App, journeys, SLA
Step 02
Script
AI-assisted, ≤ 4 hrs
Step 03
Correlate
Tokens and data
Step 04
Load
Ramp to target vusers
Step 05
Sign-off
Evidence report
Loop
Diagnose
APM, traces, DB
Loop
Fix with team
Code, config, infra

01 · Script

ddai — script

$ddai script --app fiori-checkout

✓ 42 steps parameterized · 4m 12s

Script automation

done in ≤ 4 hrs

02 · Prove

0.49s ▼ 98.6%

LIVE

p95 · SAP month-end · bottleneck pinned

03 · Load

5,000vusers

SLA PASS

throughput ×3.0errors 0.02%

Practices

Three practices we lead with, seven that support them

All services

Case study · Leading Global ERP Solutions Provider

From 35 seconds to half a second on SAP S/4HANA

35s → 0.49s

core process response time

application throughput: ×3; application throughput
transformation delivery timeline: 6 → 3 mo; transformation delivery timeline
engineers required on the workstream: 3 → 2; engineers required on the workstream

Read the full case study

“DDAI Tech played a critical role in our SAP S/4HANA transformation program. Their performance engineering intervention increased application throughput by nearly three times and reduced response time for a core business process from over 35 seconds to under 0.5 seconds. The overall impact on speed, cost, and quality was exceptional.”

Brent Hyder · Practice Head · Leading Global ERP Solutions Provider

>50%Cutting performance scripting cycles by more than halfGlobal Entertainment Enterprise 1000sAutomating observability rollout across thousands of servicesTier-1 U.S. Banking Institution SLO-drivenBuilding a mature Site Reliability Engineering practiceEnterprise SaaS Platform

Read what clients say

Writing