Agentic AI-Powered Back Office Automation: Unlocking Speed, Accuracy, and Intelligent Oversight

A leading U.S.-based multi-brand retail group was facing significant marketing and customer engagement challenges:

Approximately 30% year-over-year (YoY) decline in campaign engagement rates (email open and click-through), and disjointed omnichannel experiences with static, non-personalized marketing content.

They faced manual content creation bottlenecks, leading to delayed campaign launches and inconsistent brand tone. Their main challenge was difficulty scaling personalization across 10+ brands and millions of customers.


Designed and implemented a GenAI studio to evaluate and compare multiple LLMs in real-time using active transcripts.

Developed a model-agnostic pipeline to ingest call transcripts, extract context, and surface intelligent prompts for agent assistance.

Created a prompt engineering framework to manage and tune context-specific prompts across various models.

Deployed a secure, compliance-friendly sandbox to run model experiments and monitor performance (response accuracy, latency, hallucinations).

Developed 20+ use cases including call summaries, transfer detection, knowledge extraction, and guided response generation.

Used an Agentic Framework with guardrails, feedback loops, and continuous improvement via user testing.

Trusted by Clients. Respected by Partners.

Clients cite strong leadership, responsiveness, and reliable delivery. Partners point to engineering depth, SME coverage, and a steady focus on outcomes over activity.

Tech Stack:

Azure OpenAI, AWS Bedrock, Google PaLM, LLM Orchestration: LangChain, Prompt Engineering APIs

Business Impact

Ascendion’s solution delivered tangible and measurable business outcomes:

55% increase in email open rate within 90 days. 42% year-over-year improvement in click-through rate (CTR).

70% reduction in campaign launch time (from 3 days to less than 1 day).

18% reduction in Customer Acquisition Cost (CAC) through improved targeting.

30% increase in sales conversions from personalized offers via contextual recommendations.

60% reduction in content production costs through GenAI automation.

15-point increase in Net Promoter Score (NPS) driven by improved message relevance and customer experiences.

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