How Saudi Aramco Cut Media Response Time from 28 Days to 12 with Four AI Agents

Case Study
Saudi Aramco  ·  Media Communications & Coordination Dept

Saudi Aramco’s Media Communications & Coordination Department deployed four AI agents to handle intake, drafting, routing, and follow-up — and started answering journalists in under 60 seconds.

90%
Faster acknowledgment
Average first response dropped from ~10 minutes to under 60 seconds.
76%
Shorter sign-off cycle
Approval routing that took 60 minutes now completes in 15 minutes on average.
58%
Shorter response time
End-to-end media response time cut from 28 days to 12 days.
Story highlights
  • Four AI agents handle triage, drafting, routing, and approval — working as one engine on top of existing communications infrastructure.
  • Acknowledgment now happens in under a minute. Internal sign-off takes 15 minutes instead of an hour.
  • The communications team was freed from administrative overhead to focus on strategic messaging and proactive media relationships.
Industry
Energy / Oil & Gas
Client
Saudi Aramco — Media Communications & Coordination Dept
CLOUDSUFI capabilities
AI Agents · LLM · Workflow Automation · Real-time Processing
Google Cloud products
Vertex AI (LLM), Google Cloud Storage, CloudSQL
Communications professional reviewing AI-powered media response dashboard — Saudi Aramco AI media automation by CLOUDSUFI

When silence becomes the story

Saudi Aramco receives hundreds of media inquiries every month. Journalists, analysts, and industry publications reach out about operations, earnings, energy policy, and breaking news. Every inquiry needs a response. Most need one fast.

The process for handling them was almost entirely manual. Inquiries landed in a shared inbox. Someone read each one, figured out the topic, decided who should see it, and forwarded it along. Triage was subjective — two people could rank the same inquiry differently. Deadlines lived on spreadsheets. Approvals required chasing people through email chains and hallway conversations.

The result: an average response time of 28 days. In a news cycle that moves in minutes, 28 days isn’t a slow response. It’s silence. And silence speaks louder than any statement a communications team can write.

The team wasn’t slow because they didn’t care. They were slow because every step was a bottleneck. Manual triage. Manual drafting. Manual routing. Manual follow-up. No one had visibility into where an inquiry stood at any given moment. By the time a response was approved, the story had already been written — without them.

Four AI agents, one engine, zero guesswork

Aramco’s MCCD deployed an AI-powered media response engine built by CLOUDSUFI on top of their existing communications infrastructure. The engine runs on Vertex AI within Aramco’s own GCP environment — all processing stays inside Aramco’s cloud, with no external API calls. Four AI agents, each responsible for one stage of the workflow, work as a single system.

Agent 01
Intake
Classifies and prioritizes every incoming inquiry the moment it arrives — reads the message, identifies the topic, assesses urgency, and tags it in seconds. No more subjective triage.
Agent 02
Draft
Generates a brand-aligned response draft using the approved messaging library. Gives the communications team a starting point that’s already on-brand, factual, and ready for human review.
Agent 03
Routing
Identifies the right approvers based on topic, region, and sensitivity. Sends the draft directly to the people who need to sign off — no forwarding chains, no guessing.
Agent 04
Follow-up
Tracks deadlines and escalates stalled items. If an approval sits untouched, the system nudges. If a deadline is approaching, it flags. Nothing falls through the cracks.

CLOUDSUFI built the engine and integrated it with Aramco’s existing tools — including Formstack for journalist inquiry intake and CloudSQL for audit trails. The system didn’t replace the communications team. It removed the manual work that was keeping them from doing what they’re actually good at — shaping the message, building relationships, and thinking ahead.

Analyst reviewing media inquiry reports with global data dashboard — AI workflow automation for corporate communications

From 28 days to 12 — and the silence is gone

90%
Faster acknowledgment
76%
Shorter sign-off cycle
58%
Shorter response time

The numbers tell a clear story. First-touch acknowledgment went from minutes to seconds. Internal sign-off that used to take an hour now closes in a quarter of that time. And the full cycle — from the moment an inquiry arrives to an approved response going out — shrank from nearly a month to under two weeks.

But the real change wasn’t in the numbers. It was in what the team could do with their time. Before the engine, most of the communications staff’s hours went to logistics: reading, sorting, forwarding, drafting from scratch, chasing approvals, checking spreadsheets. That work is now handled by the system. The team spends its time on strategic messaging, media relationship building, and proactive outreach.

Visibility also changed. Before, no one knew where an inquiry stood unless they asked. Now, the entire team can see the status of every active inquiry — who’s reviewing it, what stage it’s in, and whether it’s on track. That transparency alone cut the number of internal “where is this?” emails by a wide margin.

What’s next: from reactive to predictive

The engine was built to grow. The next phase expands into proactive media monitoring — tracking coverage across outlets and social channels in real time, so the team knows what’s being said before a journalist calls.

Sentiment tracking will flag shifts in tone and topic across the media landscape. And predictive crisis detection will surface early warning signals — unusual spikes in coverage, emerging negative themes, or questions that signal a bigger story forming — so the team can get ahead of it instead of reacting after the fact.

The goal isn’t just faster responses. It’s a communications function that sees around corners.

Ready to build something like this?

CLOUDSUFI is a Google Cloud Premier Partner specializing in data engineering, AI, and cloud migration.

Talk to us →

Why CLOUDSUFI?

1

Expertise-Driven Leadership

The CEO’s handpicked team, built on 15+ years of professional relationships, boasts an average tenure of 5+ years at CLOUDSUFI, and average of 20+ years of industry experience, with expertise from tech giants like Microsoft, SAP, KPMG, GE, and Bank of America.

2

Innovation Powerhouse

CLOUDSUFI’s Gen AI Lab, hiring 500 experts, redefines data processing and automates supply chains, driving cutting-edge AI innovation.

3

Grit Over Pedigree

The CLOUDSUFI team embodies resilience and determination, prioritizing grit over pedigree, driving innovation through perseverance, problem-solving, and boldness over credentials.

4

Accelerate Impact

CLOUDSUFI’s proprietary solutions, like the anti-fragility index and Velocity Packs, boost efficiency, accelerate market speed, and drive transformation.

5

Revitalizing Wisdom

Through the CLOUDSUFI Foundation, the company is committed to driving social impact by helping older generations discover their ikigai—reigniting purpose and reintegrating them into the workforce.

By submitting, you consent to CLOUDSUFI processing your information in accordance with our Privacy Policy. We take your privacy seriously; opt out of email updates at any time.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.