✦ Service · Automation

AI agents for
daily operations.

Agents that answer on WhatsApp, draft documents and triage tickets from your live data. A person approves before anything is sent.

See use cases
  • WhatsApp & in-app
  • Your data stays masked
  • OpenAI · Gemini · Claude
Quick answer

What is an AI agent for a business?

An AI agent is software that does one repetitive job, such as answering stock questions on WhatsApp, drafting quotes or triaging support tickets, by reading your live business data. ZaadCore builds agents on OpenAI, Gemini or Claude, masks personal details from the model, and keeps a person approving before anything reaches a customer.

Facts checked 30 September 2026

Models
OpenAI · Gemini · Claude
Channel
WhatsApp & in-app
Data
Connected & live
Actions
Reviewed, not auto-sent
Use cases

One job per agent. Done reliably.

Request

“Is my order out for delivery?”

Agent reads

Order system

Hands back

Order 1042 left the warehouse at 10:20. Expected today by 6pm.

Waiting for approval
Request

“Price and stock for SKU 88-210?”

Agent reads

Stock & price list

Hands back

AED 42 per unit. 180 in stock across 2 branches.

Waiting for approval
Request

“Quote for 50 chairs for Al Noor.”

Agent reads

Customer & price records

Hands back

Draft quote Q-2026-118 ready for review, with the source prices cited.

Waiting for approval
Request

New enquiry from the website form

Agent reads

CRM history

Hands back

Scored high. Routed to Sales with a first reply drafted.

Waiting for approval
How an agent answers

Fast answers. With a person in the loop.

  1. 1 Message in WhatsApp, email or your app
  2. 2 Reads your systems Read-only, live data
  3. 3 Masks personal data Names and numbers never reach the model
  4. 4 A person approves Drafts, not auto-sends
  5. 5 Reply and log Every action recorded
  • Masked dataIdentifying fields stay out of the model.
  • Role scopingAn agent reads only what its role allows.
  • Human approvalNothing reaches a customer unchecked.
  • Full audit logEvery action and every record it read.
No model lock-in

The provider is picked per task on quality and cost, and can change without a rebuild.

  • OpenAI
  • Gemini
  • Claude

How we get an agent live.

  1. 01 Pick the job We pick a high-volume, low-judgement, well-defined task: a question your team answers twenty times a day.
  2. 02 Connect the data Read-only access to the systems holding the answer, with masking and role scoping agreed first.
  3. 03 Pilot with a human in the loop The agent drafts and your team approves. How often the draft is used unchanged decides when to widen.
  4. 04 Widen carefully Once it is trusted, we extend scope or add actions. Each new capability goes through the same pilot.

What you should expect from it.

Automation pays off where the work is repetitive and the answer is checkable.

  1. Faster first response Customers and staff get an answer immediately instead of waiting for the one person who knows.
  2. Fewer interruptions Routine lookups stop landing on the warehouse, finance and sales teams as messages.
  3. Consistent documents Quotes and orders drafted from the same source data in the same format every time.
  4. Work outside hours Enquiries captured and triaged overnight, ready for the team in the morning.
  5. An audit trail Every agent action logged and attributable, including the data it read.
  6. No model lock-in Provider chosen per task on cost and quality, and changeable without a rebuild.

Agents are built on your existing systems. If the data is not queryable yet, that groundwork sits in the Build or Integrations scope.

Questions

AI agents: quick answers.

Will the AI make things up?

It can. We ground agents in your live data, cite the records used, and keep a person between the draft and the customer. Tasks that cannot be checked are not automated.

Does our data get used to train a model?

No. We use business API tiers that exclude your data from training, and mask identifying fields the task does not need.

Which model do you use?

Whichever fits the task on quality and cost. One interface across OpenAI, Gemini and Claude keeps the choice reversible.

Do we need the WhatsApp Business API?

For a WhatsApp agent, yes, and we handle setup and number verification as part of the project. Agents can also live inside your own app or CRM.

Written by the ZaadCore AI team ZaadCore · Dubai, UAE
Reviewed

Pick one job for an agent.

Tell us the question your team answers twenty times a day.

Request a quote

Tell us a bit about what you need — we'll come back to you with the details.