Book a Free Strategy Call
Skip the read: talk to Walid in 30 min.
Free strategy call. We map your AI engineering team, you keep the notes.
Six AI agents run inside real companies today, from WhatsApp support at Qatar Tourism to a database agent at AmbryHill. Each case below says what the agent does, what it replaced and how fast it went live. Cost shows where we have a figure on file.
What agentic AI means
Agentic AI is software that takes a goal, picks the steps, uses your tools and acts. A fixed script does not. Most articles stop there and list industries. Below are six real companies, with numbers where we have them and a plain "no figure on file" where we do not.
Related Reads
Six use cases
Each card shows the one number we can stand behind. The detail follows.
1. Customer support on WhatsApp: Qatar Tourism
A multilingual agent answers inbound WhatsApp messages around the clock. The support team used to take over 4 hours per message.
- Result: 80% of requests handled with no human, support workload down 40%.
- Cost: roughly $18,000 a year saved.
- Time: set up in hours. Replies no longer wait on a person.
2. Sales prep and CRM upkeep: Portless
Agents research each prospect before the call, update the CRM and score leads. Research time per prospect fell and the team's conversion rate rose.
- Cost: no figure on file.
- Time: no figure on file.
3. Ask-your-database agent: AmbryHill
AmbryHill is an aerospace ERP under FAA, ITAR and AS9100 rules. Its whole database became an agent anyone can ask. Each person sees only what they are allowed to touch, and can generate reports and charts within that scope.
- Cost: no figure on file.
- Time: no figure on file.
4. Creative production: Shem's Publicité
A Casablanca advertising agency rebuilt its creative workflow around AI. The same team of three went from five days to under 24 hours per batch, a 10x jump in throughput.
- Cost: no figure on file.
- Time: five days down to under 24 hours.
5. Finding where agents belong: Gepromed
This MedTech company knew AI could help but had no list of where. We mapped 47 opportunities before building anything, deployed 16 role-specific AI skills and put daily use in one operating console.
- Cost: no figure on file.
- Time: no figure on file.
6. Content operations: Just Russel
A pet food brand selling in five markets needed its content pipeline to keep pace. We classified 1,200+ content assets, cut eight days from briefing to script and built the campaign builder that runs the pipeline.
- Cost: no figure on file.
- Time: eight days cut from briefing to script.
Where agents show up, by team and industry
Top-ranking guides sort use cases by industry. Here is the same view for the six cases above, plus one more.
| Team | Industry | Company | What the agent does |
|---|---|---|---|
| Customer support | Tourism | Qatar Tourism | Answers WhatsApp requests in several languages |
| Sales | B2B sales | Portless | Preps each prospect and keeps the CRM current |
| Data and reporting | Aerospace ERP | AmbryHill | Answers questions from the database, scoped per person |
| Creative production | Advertising | Shem's Publicité | Produces creative batches in under 24 hours |
| Operations planning | MedTech | Gepromed | Maps where agents belong, then deploys role skills |
| Content operations | Pet food, five markets | Just Russel | Classifies assets and runs the campaign pipeline |
| Legal | Legal tech | Kateb | Legal AI platform, shipped in under a month |
Not on this list? Most teams that repeat the same multi-step task have a fit. Tell us the task and we say whether an agent suits it.
Free weekly brief
Steal our production automations
The exact n8n flows, Claude Code setups, and prompts we ship for clients, broken down step by step. No spam, unsubscribe anytime.
Agentic AI vs automation
| What matters | Rules-based automation | Agentic AI |
|---|---|---|
| Input | Fixed and predictable | Varies, needs judgement |
| Steps | Written in advance | Chosen by the agent per case |
| When it fails | Stops or throws an error | Can be wrong with confidence, so it needs checks |
| Best for | High-volume identical tasks | Messy multi-step work |
| Cost to run | Low and flat | Higher, grows with use |
Why AY
- Proven systems, set up in hours. The six above are running in real companies, not in a demo.
- Your company brain. Agents that know your data, your roles and your limits, like the scoped AmbryHill agent.
- An engineer stays on your team to run it. An ongoing partnership, no project scoping. Cancel anytime, with a 90-day replacement guarantee.
What clients say
COO, Adstronaut.io
CEO, Untaylored
Go deeper
See the multi-agent framework comparison, the production architecture patterns, the production-readiness checklist and the observability tools guide. To have one built, see AI agent development.
Pick your first agent
FAQ
What is agentic AI?
Agentic AI is software that gets a goal, plans the steps, uses tools like your CRM or inbox, and acts. A chatbot answers a question. An agentic system also does the work and checks the result.
Agentic AI vs automation: which should I use?
Automation first, when the steps never change. It costs less and behaves the same every time. Use agentic AI when inputs vary and the work needs judgement. Most good systems mix both, with a human check on risky steps.
What is the difference between an AI agent and agentic AI?
The terms overlap. An AI agent is one worker with a job. Agentic AI is the approach, where one or several agents plan and act toward a goal. Several agents together is a multi-agent system.
How much does an AI agent cost?
Our partnership starts at $3K a month and you can cancel anytime. The one saving we have on file is Qatar Tourism at roughly $18,000 a year. Model usage costs grow with volume, so ask us about yours.
How long does it take to set up an AI agent?
Our systems are set up in hours. Bigger builds take longer. Kateb's legal AI platform shipped in under a month, and Untaylored had a working prototype after 30 days.
Which use case should we start with?
Pick work that is high volume, repeated and easy to check. If you do not know where, map it first. Gepromed mapped 47 opportunities, then deployed 16 skills.
Sources: AY Automate client project records for Qatar Tourism, Portless, AmbryHill, Shem's Publicité, Gepromed, Just Russel and Kateb. Quotes from recorded client videos (Elie Salame, Adstronaut.io; Roald Larsen, Untaylored).
Continue Reading
What is a company brain? One place your AI reads from
A company brain is your company's own knowledge, connected in one place, that your AI systems read from. It is the proprietary part of proprietary AI, and you own it.
7 Best AI Agent Orchestration Platforms for Production (2026)
The best AI agent orchestration platforms in 2026 are Temporal for durable execution, Amazon Bedrock AgentCore for AWS teams, and Microsoft Foundry Agent Service for Microsoft 365 shops, with Gemini Enterprise Agent Platform, IBM watsonx Orchestrate, Orkes, and CrewAI Enterpri...
Best LLM tools in 2026: 10 picks to build, route, and trace LLM apps
The best LLM tools in 2026 are LangChain and LlamaIndex for building the application, OpenRouter and LiteLLM for reaching hundreds of models through one API, and LangSmith or Langfuse for seeing what your app actually did in production. Hugging Face, the Vercel AI SDK, Weights...
Book a Free Strategy Call
Building this in production?
Walid runs a 30-min call to map your AI engineering team. Free, no slides.
Free weekly brief
Steal our production automations
The exact n8n flows, Claude Code setups, and prompts we ship for clients, broken down step by step. No spam, unsubscribe anytime.

Robel engineers production-grade automation pipelines at AY Automate, focused on integrations, reliability, and the systems that keep client workflows running.



