AI Agent Development and Deployment, WPfoss AI Agency

AI Agent Development and Deployment

Your business runs on dozens of small, repetitive decisions. Who to follow up with, which lead is hot, what a customer is really asking, what your team should focus on today. We build AI agents that handle those decisions for you, not generic assistants, but agents trained on how your business actually runs.

The problem you are facing

You have processes that only live in one person's head, usually yours. Your team waits for answers. Customers wait. Leads go cold. And the moment you take a day off, momentum stops. Generic AI tools will not fix this because they do not know your products, your pricing, your policies, your tone, or your priorities.

What we build for you

A custom agent trained on your knowledge base, SOPs, brand voice, and tools

Memory and context, it remembers customers, decisions, and your priorities over time

Tool access, connected to your CRM, email, calendar, knowledge base, payment processor, and any internal API

Guardrails, what the agent is allowed to do, what it must escalate to a human

An interface your team actually uses, web app, Slack, WhatsApp, or embedded in your existing tools

Training so your team operates the agent confidently from day one

How it works

Discovery and scope

We sit with your team and map the 1 to 3 highest-leverage jobs an agent can take off your plate this quarter.

Knowledge base

We organise your SOPs, policies, FAQs, brand voice, and product details so the agent answers like your best team member would.

Build and connect

We build the agent. Model selection, prompt engineering, tool integrations, guardrails, eval framework.

Pilot

A two-week pilot with a small group. We watch every conversation, fix edge cases, and tune until the agent matches your standard.

Roll out and manage

Full rollout. Monitoring, retraining, and improvements continue under our Managed AI Operations retainer.

Outcomes you can expect

Your team reclaims 10 to 20 hours a week of repetitive work

Customers and prospects get accurate answers in seconds, around the clock

Institutional knowledge stops living in one person's head

Every customer interaction is logged and searchable

You can scale without proportionally scaling headcount

Most companies that ask us for “an AI agent” actually need three things.

A clear list of jobs the agent should do, concrete, narrow, measurable.
A trustworthy knowledge base it can answer from.
Permission to act inside the tools the team uses every day.

We deliver all three. The result is not a chatbot demo. It is a teammate that shows up to work every morning, follows your standards, and never forgets.

Frequently asked questions

How is this different from just using ChatGPT?

Public chatbots do not know your business. Our agents are trained on your SOPs, brand voice, prices, and policies. They can take action in your tools (CRM, email, calendar, payments) and run inside guardrails you control. They are operators, not assistants.

Whose data is it? Where does it live?

Yours. We can deploy on your cloud, on a private model, or with strict data-retention policies on a hosted model. We never train public models on your data.

How long until it is running in production?

Most first-agent engagements ship a working pilot in 4 to 6 weeks and a production rollout in 8 to 10 weeks. Faster if the scope is tight.

What if the agent makes a mistake?

Guardrails escalate anything ambiguous to a human. We log every conversation, run weekly evals, and improve the agent continuously through the Managed AI Operations retainer.

Can it replace my support team?

Usually not, and we do not recommend it. The point is to remove the boring 80 percent so your humans can do the 20 percent that only humans should do.