4.5-hour workshops bottlenecked process mapping. AI now converts rough text inputs into compliant models in under 15 minutes.
A diversified conglomerate with 8,000 employees operates over 25 autonomous companies across sectors ranging from automotive to healthcare in the Gulf region.
Preparing for a major ERP migration required mapping business processes across 30 different entities, but manual workshops took four to five hours...
“Within the SAP Signavio portfolio, the text to process capability in the AI-assisted process modeler is a game changer for us, as it lets us build and model compliant processes in mere minutes. This is a great example of how smart automation combined with a clear process framework can lead to real measurable gains in productivity and quality.”
Diversified conglomerate in FMCG, automotive, healthcare, and engineering.
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
Albatha's Business process modeling is part of this use case:
Related implementations across industries and use cases
1,000 extractors, each needing 5–10 manual steps to configure—AI agents now write the ETL scripts. Full scope done in 4 weeks, not 19.
Marketing 14 product lines relied on past experience. Now, AI tracks real-time social trends to predict performance and guide strategy.
Teams manually called suppliers, limiting comparisons to three. Now, a portal weighs live bids against supplier ratings.
Rapid growth overloaded HR with manual drafting. Generative AI now writes job descriptions and answers policy queries instantly.
SOWs required manually merging data from four systems. Gemini agents now synthesize drafts, cutting manual work by up to 75%.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
4.5-hour workshops bottlenecked process mapping. AI now converts rough text inputs into compliant models in under 15 minutes.
A diversified conglomerate with 8,000 employees operates over 25 autonomous companies across sectors ranging from automotive to healthcare in the Gulf region.
Preparing for a major ERP migration required mapping business processes across 30 different entities, but manual workshops took four to five hours...
“Within the SAP Signavio portfolio, the text to process capability in the AI-assisted process modeler is a game changer for us, as it lets us build and model compliant processes in mere minutes. This is a great example of how smart automation combined with a clear process framework can lead to real measurable gains in productivity and quality.”
Diversified conglomerate in FMCG, automotive, healthcare, and engineering.
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
Albatha's Business process modeling is part of this use case:
Related implementations across industries and use cases
1,000 extractors, each needing 5–10 manual steps to configure—AI agents now write the ETL scripts. Full scope done in 4 weeks, not 19.
Marketing 14 product lines relied on past experience. Now, AI tracks real-time social trends to predict performance and guide strategy.
Teams manually called suppliers, limiting comparisons to three. Now, a portal weighs live bids against supplier ratings.
Rapid growth overloaded HR with manual drafting. Generative AI now writes job descriptions and answers policy queries instantly.
SOWs required manually merging data from four systems. Gemini agents now synthesize drafts, cutting manual work by up to 75%.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.