Agentic AI AGENCY

AI agents that cut manual work

We build agentic AI systems that take large, complex workflows and deliver them in a fraction of the time. Humans make the judgement calls, but AI agents handle the volume.

Your AI crew · live
Ern
Ern
Drafting content briefs
Done
Art
Art
Fixing technical issues
Done
Stan
Stan
Tracking rankings & citations
Running
Reg
Reg
Compiling the weekly report
Done
Tesco logo in black on white background.Pehr brand logo in handwritten script styleYotel hotel brand logo in bold outlined lowercase letteringTempo AuditsDunnes Stores logo in bold black text on white background.Pinter logo: black square with white arch and exclamation mark graphic above the word PINTER in bold white text.University of the Arts London (UAL) logo in black on white background.Cursive logo mark for IE Digital, featuring stylised interlocking letterforms in black.Buymie logo featuring a shopping basket inside a heart shape above the brand name.WorldRemitBurrington EstatesWorking Well TrustFoundryMayfair Prestige logo in black lowercase text on white backgroundMatch.com logo with heart symbolInvivo registered trademark logo in black on white background.Sky logoBlue Marine Foundation logo — wave motif in a shield shape beside bold text reading Match.com logo with heart symbolSkyscanner logo in black on white background.

Section

What is an AI agent?

An AI agent is software that works through a defined task step by step, using a large language model for the parts that need language or reasoning. Give it a clear job and the inputs, and it does the task the way a trained person would, then hands the output back for review.

Where agents pay off

Agents earn their place on big, repetitive jobs: converting hundreds of pages, reformatting content, pulling scattered data into a template. Work that would cost a person days, an agent does in minutes, at steady quality.

Why our approach works

We don't hand an agent the whole job and hope. We break the task into small steps, let AI do the parts it's reliably good at, and keep a person on the steps that need judgement. That's what makes the output good enough to ship.

When to use AI, and when not to

Every agent starts with one decision: which parts of a job to automate, and which to leave with a person. We map that split per task before building anything, because getting it wrong is how automation makes more work than it saves.

Marketing taskWhat AI handlesWhat people lead
Content productionFirst drafts, variations and reformatting at volumeThe angle, brand voice and the final edit
ResearchExpanding and clustering thousands of keywords and promptsChoosing what's genuinely worth targeting
Technical auditsCrawling, grouping and flagging issues across large sitesPrioritising fixes by business impact
Data & taggingConverting and structuring hundreds of items to a set formatThe rules, and spot-checks on the output
ReportingPulling, structuring and summarising the numbersReading the story and calling the next move
Outreach & digital PRFinding and qualifying prospects, drafting first contactThe relationship and the pitch

What we build for clients

Every agent we build targets a specific, repetitive job that is slowing a team down. A few we have built or build often:

Web development agents

Convert content into styled code that slots straight into your website. For example, optimised, formatted, on-brand HTML, ready to paste straight into Shopify. What took an editor hours per page now takes minutes, and every page comes out consistent.

Content production agents

Our page creator runs a chain of steps, research, structure, drafting and formatting, to produce a full content draft far faster than writing from scratch, with our team reviewing at each checkpoint.

Data processing agents

Agents that pull data from scattered or messy sources, clean it, and drop it into the format your reporting or CMS needs, without the copy-paste.

Workflow automation

We map a manual workflow, find the steps AI can own, and stitch them into a system with people at the points that need a human call.

Research and analysis agents

Agents that gather and structure information at scale, so your team starts from a finished brief instead of a blank page.

Why Buried

Why businesses choose Buried for AI agents

No fluff, no vanity metrics, just senior specialists focused on measurable growth.

  • Automation with humans always in the loop
  • SEO and GEO under one roof
  • We measure real results, not vanity metrics
  • Senior specialists on every account
  • Clear communication, no jargon
  • Elite expertise, without the big-agency price

Client result

An agent that let Pinter publish at scale

Pinter needed optimised content across a large catalogue, quickly. Hand-building each page to our template would have taken the team weeks it did not have.

4x

increase in AI citations after the GEO rollout

3x

increase in non-brand organic traffic

An agent that let Pinter publish at scale

How the agent worked

We built an agent that takes finished content from our tool and outputs clean, approved-template HTML, ready to paste into Shopify. It cut build time per page from hours to minutes and kept every page consistent. That let us roll out optimised content in four weeks instead of months. The results followed: non-brand organic traffic grew 3x and AI citations 4x.

Devan HughesDevan Hughes client logo
Devan Hughes
CDO, Dunnes Stores

What our clients say

Will has driven our performance and growth marketing success for over five years. He led our acquisition team at Buymie and stayed central after our acquisition by Dunnes Stores in 2023, helping us build and scale an in-house team with strong foundations across performance, growth and organic search.

Our method

How we build an agent

We break the job into steps and mark which need judgement and which are mechanical. That map decides what the agent does and where a person stays in control.

We hand the model small, well-defined chunks it can do reliably: converting a page, structuring a dataset, drafting to a brief, rather than the whole job at once.

We put review points where they matter, so your team approves before work moves forward. The agent speeds the job; your people hold the standard.

We run the agent on real tasks and compare its output to what your team would produce, then tighten the prompts and rules until it holds up.

We put the agent into your workflow and track the time saved and the quality held, so the efficiency is real and you can see it.

Speak to the team building these agents

Speak to the team building these agents

Buried builds its own agents in-house: the same tools we sell to clients run our own content and reporting. Founder Will Tombs, an award-winning growth marketer with more than 12 years in industry, leads the work, so you are talking to the people who actually build the systems.

Founded by award-winning performance marketers

Put AI to work where it actually pays off

We will find the job that is eating your team's time and build the agent that takes it off their plate. Less manual work, more output, the same quality.

Book a call

FAQ

AI agent FAQs

What is an AI agent?

An AI agent is software that completes a defined task step by step, using a large language model for the parts that need language or reasoning. You give it a clear job and the inputs; it works through the task and hands back the output for review.

Will an agent replace my team?

No. We build agents to take repetitive, high-volume work off your team so their time goes on judgement, strategy and quality. People stay in control of the important decisions.

What tasks are a good fit for an agent?

Big, repetitive jobs with clear rules: converting or reformatting content, structuring data, drafting to a template, tagging at scale. If a task costs a person hours of mechanical work, it is usually a candidate.

What should you not automate?

End-to-end decisions, strategy, brand judgement, and anything where a wrong call is expensive. We keep people on those and use AI for the volume around them.

How do you keep the quality high?

We break the task into small steps the model can do reliably, add review points where a person signs off, and test the agent against real work before it goes live.

Can you build an agent into our existing tools?

Yes. We map your current workflow and build the agent into it, whether that is your CMS, Shopify, a reporting stack or a spreadsheet process.

How long does it take to build an agent?

A focused agent for a single task can be built and tested in weeks. More involved workflows take longer, and we scope the time and the expected saving before we start.