AI services · Agentic AI
Agentic AI: AI agents that do the work, with a person in the loop.
An AI agent doesn’t just answer a question. It takes a goal, uses your tools and data, and completes the steps. We design, build and run agents for marketing, content and e-commerce teams, with clear limits and human approval where it counts.
Two-week prototype on one real task, at a fixed fee.
Example agent
Product listing checker
- Reads every product page in your shop each week
- Flags missing attributes, thin copy and broken images
- Drafts fixes in your brand voice
- Sends them to a person for approval before anything changes
Agent, chatbot or automation?
Three things people call “AI”, and how they differ.
| Chatbot | Automation | AI agent | |
|---|---|---|---|
| What it does | Answers questions in a chat window | Runs fixed steps when something happens | Plans and takes steps toward a goal |
| Handles surprises | Rarely | No, it follows the script | Yes, within limits you set |
| Uses your tools | Usually not | Yes, the ones it’s wired to | Yes, and chooses which to use |
| Best for | Customer questions | Predictable, repeated tasks | Multi-step work that needs judgement |
Agents we build
Built for marketing, content and commerce teams.
Each agent does one job well. We connect it to the tools you already use.
Research agent
Gathers competitor, keyword and market information and turns it into a brief your team can use.
- Competitor and SERP research
- AI answer monitoring for your prompts
- Weekly brief in Slack or email
Content QA agent
Checks drafts against your style guide, facts and SEO rules before an editor sees them.
- Style and tone checks
- Source and claim flags
- Heading and schema checks
Listing agent
Keeps product data complete and consistent.
- Attribute gaps
- Copy rewrites
- Translations for review
Outreach prep agent
Builds creator and PR shortlists with notes, ready for a person to contact.
- Creator fit scoring
- Contact research
- Draft first messages
Guardrails
How we keep agents safe and predictable.
Clear limits
Each agent has a written list of what it may and may not do, and which tools it can touch.
Human approval
Anything that changes your site, spends money or contacts people waits for a person to approve it.
Full logs
Every step the agent takes is logged so you can see what it did and why.
Where companies are
Agents are moving from pilots into daily work.
Large companies are ahead, but smaller teams are starting too.
of large organisations are scaling AI agents in at least one function.
of smaller organisations are doing the same.
respondents overall report scaling agents across their organisation.
From prototype to production
How an agent project runs.
You see it working on your own data before committing to more.
Pick one task
We choose a task with clear inputs, a clear result and real time cost.
Prototype
A working agent on your data within two weeks, run side by side with your team.
Measure
Accuracy, time saved and how often a person had to correct it.
Harden
Guardrails, logging, error handling and access controls for daily use.
Run
Monitoring, monthly running-cost reports and improvements as your needs change.
How pricing works
A fixed fee for the prototype. Running costs agreed up front.
The two-week prototype is quoted as a fixed fee once we understand the task and your data. If you continue, we quote the production build and estimate monthly model and tool costs before we start. Book a call to get your quote.
FAQ
Agentic AI FAQs
What is agentic AI?
Agentic AI refers to AI systems that can take a goal, plan the steps, use tools such as search, spreadsheets or your CMS, and complete the task, rather than only replying to a prompt.
How is an AI agent different from a chatbot?
A chatbot answers questions. An agent acts: it can look things up, change records and hand work to a person, within the limits you set.
Is it safe to let an agent change things?
We start with agents that suggest changes for a person to approve. We only allow direct actions where the risk is low and the result is easy to check and undo.
Which models do you use?
We choose per task from providers such as OpenAI, Anthropic and Google, and can use EU-hosted options where data rules require it.
What does an agent cost to run?
It depends on how often it runs and how much it reads. We estimate this before the build and report it monthly.
Who owns the agent?
You do. We hand over the configuration, prompts, documentation and access.
Next step
Have a task an agent could take off your team?
Describe it in a few sentences. We’ll tell you if an agent is the right tool and what a two-week prototype would cover.
Prefer email? [email protected]