AI agents for business
Sandbox builds AI agents that do one precise job inside a company: prepare a media plan, monitor a market's ads, produce a campaign report, reconcile invoices, answer on WhatsApp. They run on Sandbox's data platform, with written rules, isolated access and human approval on every action that commits the business.
Putting AI to work, concretely
A language model on its own answers questions. An agent acts: it reads data, calls tools, produces a document, triggers the next step and reports on what it did.
Putting AI to work means handing repetitive, well-defined tasks to agents wired into the company's real tools (CRM, ad platforms, accounting, messaging, databases), with a person approving whatever commits the business: spend, a message sent, a launch.
Sandbox first built its agents for its own media buying operations. The same methods serve its clients.
Agents running at Sandbox
- 01
AdSpy ad intelligence
Collects the Meta and Google ads running in Morocco every day, sorts them by advertiser, sector and format, and flags competitors' new campaigns.
- 02
Media plans and launches
Builds the plan line by line, checks budgets, dates and targeting, then prepares the launch on the ad platforms. A person approves before anything goes live.
- 03
Reports
Pulls figures from the ad platforms, the website and the CRM into one readable report, with gaps explained and the source of every number.
- 04
Invoicing and reconciliation
Issues invoices from the platform, matches them against bank statements and prepares entries for accounting.
- 05
WhatsApp and email assistants
Answer the team's requests, find a document, keep a calendar, on the channels the team already uses.
- 06
AI search visibility
Records every month what ChatGPT, Claude, Perplexity and Gemini answer about a brand and its market, and the sources they read.
How Sandbox builds them
Written rules, isolated access
Each agent has a spec: what it does, the tools it may call, what it must never do. Keys live in a vault, never in code. Each client has an isolated environment.
Recorded human approval
Spend, a message to a client, a production write or a launch waits for explicit approval, logged with its time. Every action that commits the business is approved and traced.
From task to agent in service
Scoping: one task, its inputs, the expected output, the person who approves. Prototype on real data in two to four weeks. Go-live with a record of time saved, errors and model costs. Then the next task.
The model is chosen task by task: Claude, GPT or Gemini depending on the job, and locally run models when data must not leave the company.
Frequently asked questions
01What is an AI agent?
An AI agent is a program that uses a language model (Claude, GPT, Gemini) to complete a task end to end: it reads data, calls tools (CRM, ad platform, accounting, messaging), produces a result and reports back. Unlike a chat assistant, it acts, within limits set in writing.
02How do you put AI to work in a company in Morocco?
Start from a repetitive, measurable task rather than a tool: a weekly report, a monitoring job, a follow-up, a reconciliation. Describe it (inputs, output, who approves), build an agent on real data, measure time saved and errors, then move to the next task. Sandbox runs this cycle with client teams, in French, English and Arabic.
03Which company builds AI agents for businesses in Morocco?
Sandbox, a media buying agency and AI workshop in Casablanca, builds AI agents for marketing and operations: ad intelligence, media plans, reports, invoicing, WhatsApp assistants, AI search visibility. Its agents run first on its own operations, with human approval and isolated access.
04How much does an AI agent cost?
Two items: the build, priced at scoping according to the task and the tools to connect, and model usage, billed by volume by the model providers. Usage cost is measured from the prototype and shown before go-live.
05Is my data protected with an AI agent?
Each client has an isolated environment, access is limited to what the agent must do and keys stay in a vault. The business APIs Sandbox uses do not train their models on the data sent, and sensitive data can be handled by locally run models.
06Do I need an in-house technical team?
No. Sandbox builds, hosts and maintains the agents. The client's team describes the task, approves results and keeps control of every action that commits the business.
A task to hand to an agent
A 45-minute scoping call is enough to describe the task, the tools to connect and the person who approves, then to price a prototype. Answer within two business days.