AI agents for advertising and operations

Customer support agent

An embeddable chat agent with human handoff and per-tenant data isolation.

What it is

A chat agent you embed in your own website or app to answer customer questions. It hands over to a person when it should, you set the response-time targets, and each customer's data is kept separate from the others.

How an engagement works

We agree what it may answer, what it must pass to a person and how it is tested, then build and deploy it for your site or app.

Limits

• It does not replace your support team; it hands over to it.
• How well it answers depends on the material you give it, so we test it against real questions from your site.

AI agent development: how a custom agent engagement works

Sandboxed autonomous agents

Agents that run in an isolated container where credentials never enter and outbound access is allow-listed.

What it is

An autonomous agent that runs inside an isolated container. Credentials never enter the container, and outbound network access is limited to destinations you allow.

How an engagement works

We agree the task, what the agent may reach and what it must never see, build the container and its rules, and test them against cases you provide before anything runs for real.

Limits

• Isolation reduces risk; it does not remove the need for review, so each engagement includes a security review of the agent's own rules.
• An autonomous agent still needs a clear task and an owner who checks what it produces.

Cloud and DevOps: where agents run and how they ship

Reporting and deck automation

Scheduled reports and approval-gated slide decks built from your own data.

What it is

Scheduled reports, and slide decks assembled from your own data, with a person approving a deck before it is sent.

How an engagement works

We agree what the report must answer and who receives it, connect it to your data (often through an advertising data pipeline), schedule it and put an approval step in front of anything that leaves your organisation.

Limits

• The numbers in a report are only as good as the data behind it, which is why the pipeline matters.
• We build the report and the approval step; the conclusions stay with your team.

Advertising data pipelines (ETL): the data reports are built from

Research agent

Competitor and market research that cites its sources and exports to your formats.

What it is

An agent for competitor and market questions. It gathers material, cites the sources it used and writes up its findings in the formats you work in.

How an engagement works

Tell us the questions you would ask. We will say how we would build it and what it can and cannot be relied on for.

Limits

• A cited source is a pointer to check, not proof that the claim is right.
• Coverage depends on the sources the agent is allowed to read, so we agree those up front.

Custom AI agent development

Workflow automation

Digests, alerts and hand-offs wired between your tools.

What it is

Digests, alerts and hand-offs wired between the tools your team already uses, so information reaches the right person without someone copying it by hand.

How an engagement works

We map the flow with you, build it with approval steps where something changes, and hand it over with documentation and monitoring.

Limits

• Each flow is built for your tools, and the written scope lists which ones.
• A step that changes something in a system has an approval step in front of it.

MCP server development: how agents reach your tools