What hiring an AI agent really looks like

Most AI marketing skips the part that matters: what happens after you sign up.

You are sold infinite output, ten times the productivity, the future of work. You buy. Then you spend three weeks figuring out how to integrate it into your stack, another three writing prompts that almost work, and another three deciding whether the whole thing was worth it.

We built Landing Pad Solutions to skip all of that. We sell AI agents the way you would hire a person. There is a clear scope, a defined role, an onboarding plan, and a real first day. This is what that actually looks like.

A clean, organised hiring brief on a desk, with the catalogue of AI agents open beside it on a laptop.

The model: roles, not tools

Every agent we offer is a role, not a feature.

A role has a job description. It has things it does and things it does not do. It has integrations it works with, escalation rules for anything outside its scope, and a quote in its own voice that tells you what to expect from it day to day.

We organise the catalogue the way a small business organises its team. There are four departments: Sales, Marketing, Customer Success, Operations. There is also a Personal & Executive department for the agents that work directly with founders and senior leaders. Each department contains primary roles (the lead role for that function) and supporting roles (the specialists that augment them).

You can hire one agent. You can hire a department. You can build a custom configuration for your specific stack. The shape is yours to choose.

The four tiers

Tiers describe the shape of what you are hiring, not the price ladder.

Tier 1 - Single Agent. One agent, one role, one defined job. The smallest deployment. Good for a founder who wants help with a specific function (cold outreach, inbox triage, content drafting) without changing their whole operation.

Tier 2 - Team. A primary agent plus the supporting roles that make it more effective. An AI Sales Agent backed by a Lead Qualifier and a Follow-up Agent, for example. The shape we use ourselves at Landing Pad Digital.

Tier 3 - Department. A complete department with primary and supporting roles working together. A full Customer Success department, or a full Marketing department. Best for businesses ready to step-change one function entirely.

Tier 4 - Build. A custom configuration for stacks and workflows that do not fit a productised role. We build it, deploy it, and hand it over. After handover, you are the data controller and we have no live access. This is the tier where you own the agent outright.

The choice between tiers is mostly about how deep you want to go in one function, and how much of your operation you want to change at once.

What hiring actually involves

The hiring process mirrors how you would hire a person, just compressed.

The hiring brief. You start by telling us what you need. The brief covers what your business does, what the agent's scope should be, what tools you use, what your brand voice sounds like, and what success looks like. It is a structured form. It takes about twenty minutes to fill out properly. We use the same brief internally to define our own agents, so we know what works.

The discovery conversation. We come back to you within a couple of days with a recommendation. Sometimes that is exactly what you asked for. Sometimes it is a slightly different shape, because we have seen one configuration work better for businesses like yours. The discovery conversation is where we agree the scope, the integrations, the escalation rules, and the success criteria.

The build. For Tier 1 and Tier 2 deployments, this is configuration rather than custom development. The agent's role and capabilities are productised, so the build is mostly about connecting your tools, training on your brand voice, and tuning the escalation rules. Typical timeline: 5 to 10 working days. For Tier 3, multiply by team size. For Tier 4, the timeline depends on the stack and is agreed during discovery.

The handover. Before the agent goes live, we walk through how it works, what it will do without supervision, what it will escalate to you, and how you will know if it is performing well. We give you the dashboard, the logs, and the contact path for any adjustment.

Day one. The agent goes live. Most of our customers see meaningful output in the first 24 hours, and a settled rhythm within the first two weeks.

The 30-day review. We come back to you after 30 days with a performance review. What worked, what did not, what we recommend tuning. Adjustments are part of the deployment, not extras.

What integrations actually mean

Every agent we sell lists the integrations it works with at deployment. These are the standard ones: CRMs, email platforms, help desks, project tools, calendars, document tools, the platforms our customers use most.

Standard integrations are part of the deployment. Custom integrations to other tools (your in-house dashboard, a niche platform, a legacy system) get scoped during discovery and priced separately. We are honest about this. AI agents that promise to integrate with everything usually integrate with nothing well.

What we will not promise

There are things we will not promise, and we want you to know what they are upfront.

We will not promise specific revenue numbers, conversion rates, or output volumes. Every business is different. What we will promise is a defined scope of work, a clear set of success criteria, and an agent that does its job reliably within those criteria.

We will not promise that the agent will do anything outside its defined role. Every agent is built to escalate the moment a task crosses the line. That is a feature, not a limit.

We will not promise that one agent will replace a department. Some of our customers reach a point where one agent does the work of one human, and that is genuinely powerful. But the productivity story we tell is "the team gets time back to do harder work", not "you can fire your sales executive."

A look at what this has produced for us

We use our own agents to run Landing Pad Digital. Lanna, our AI Customer Success Agent, handles inbound conversations across email, web chat, and social. Iris, our AI Sales Agent, handles outreach, qualifies inbound leads, and keeps our pipeline clean. Glenn, our AI engineering agent, ships features and maintains our infrastructure in disciplined sessions.

You can read about each in the case studies. They are not hypothetical examples. They are real, and they are how we know the model works.

Customer Success that does not sleep. The pipeline that does not leak. The engineer who reads everything before touching anything.

The honest summary

Hiring an AI agent through Landing Pad Solutions is closer to hiring a teammate than buying software. There is a brief, a scope, a build, a day one, and a review. The agent does a defined job within defined limits. The team gets time back. The business runs more sustainably.

If that sounds like what you want, here is the catalogue.

Explore the catalogue to see agents by department, by tier, or by who they work best for.

What it actually looks like to hire an AI agent