AI agents and systems
One project, run start to finish.
Several agents work one project between them, each doing its own part and handing straight to the next, so nothing waits on a person to notice it's ready.
Project: autumn ad campaign
- Research agent audience and angles ready
- Copy agent drafts ready for review
- Design agent assets built
- Reporting agent results tracked from day one
The problem
The project nobody has the whole view of
- 01
A project like a marketing campaign gets split across several tools and whoever's free that day.
- 02
Handing a stage of the project to the next person is where things sit waiting the longest.
- 03
Nobody has the whole project in view, only their own piece of it.
- 04
Something gets forgotten in the handover between one stage and the next.
What usually happens
- Most automation runs one step, then waits for a person to notice and start the next one.
- A project still needs someone chasing each stage along, even once parts of it are automated.
- Handovers between stages happen by message or memory, and details get lost there.
- Nobody sees the whole project's progress in one place.
How we do it
- We build a team of agents around the whole project, not one step of it.
- Each agent does its part and hands straight to the next one, with nothing waiting on a person to notice.
- You see the whole project's progress in one place, from start to finish.
- Anything that needs a decision comes to you at the moment it matters, not buried in the middle.
How it works
The plan
- 01Show us
Walk us through a project end to end, and where it usually gets stuck between people or tools.
- 02We build the team
Each agent built for its own part, then tested working together before it runs a real project for you.
- 03It runs the project
Stage hands to stage on its own, and you see the whole thing moving in one place.
Always watching
It checks itself
The whole project is watched, not just each agent's own part, so a slow handover between two stages is caught as fast as a mistake inside one, and either kind gets flagged the same day.
- A stage sitting too long without moving to the next one, flagged rather than leftChecked
- A handover that's missing something it needs, held back before it goes furtherChecked
- Which stage of the project usually takes longest, so you can see where to improve itChecked
- A step done twice by two agents at once, caught and stoppedChecked
What you get
What's included
- A team of agents built around one whole project
- Each stage handed on automatically, with nothing waiting on a person
- One view of the whole project's progress
- Decisions routed to you at the moment they matter
- Works inside the tools you already use
- Tested running together before it goes near a real project
- Handovers logged, so you can see exactly what moved and when
- Built around a real project, not a generic workflow template
For your IT teamThe technical side, for whoever looks after your systems.
- Each agent in the team has its own defined role and its own tools; none can act outside them.
- The model behind each agent is chosen for that agent's own job, not one engine for the whole team.
- Handovers between agents are logged, with what moved and when.
- Acts through real APIs and webhooks into your existing tools, with OAuth wherever a sign-in is needed.
- Access to what each agent can see or do is set by role, and changeable at any time.
Questions.
How is this different from one AI agent?
One agent handles one job. A team of agents runs a whole project between them, each doing its own part.
What if a stage needs a person?
It's routed straight to you at the moment it matters, rather than left waiting in a queue.
Can we see how the project is going?
Yes. One view shows the whole project's progress, stage by stage.
What kind of project suits this?
Anything with several stages that usually gets handed between people or tools, such as a campaign or an office move.
How much does it cost?
It depends on how many stages the project has, and what it connects to. After a short call, you get a clear price before anything is built.
Goes well with
Keep going
- AI agents and systems
AI agents that take on a whole job, not just a question
It takes the job, works out the steps, and carries them out from start to finish. Not an answer for you to act on: the job itself, finished, with nothing left for you to chase.
- Marketing, websites and apps
Marketing and ad campaigns, planned and run end to end
One team plans the whole campaign, builds it, runs it day to day, and watches what it actually brings in, so spend keeps moving toward whatever works best.
- AI agents and systems
A system built around how you already work
Not a template you bend your business to fit. It's built piece by piece, starting with whichever job costs you the most, and growing once that first piece is proven.