AI agents & workflows
We put AI where it's reliable and keep your people where judgement matters — so your business runs better six months from now, not just in the demo.
Built by Claude Certified Architects · People stay in the loop · Fixed scope
01 / 08
Our position
Most agent projects fail the same way. We build the other way round.
Automate everything
Our approach
So where exactly is the line? →
02 / 08
Where the line sits
Runs on its own
Repeatable, low-risk, easy to undo.
Agent prepares, a person approves
The agent does the work; a person signs it off.
Stays with your people
Judgement, accountability, no undo.
Where each task sits is decided with you, based on your business — and it can move as trust is earned.
What happens when it's not sure? →
03 / 08
How we decide
Every task gets a risk check first.
How often it happens, what a mistake would cost, and whether it can be undone — before anything is automated.
Autonomy is earned, not assumed.
Agents start supervised on your real work, and get more room only once they've proven reliable on it.
When unsure, it hands over.
An agent that isn't confident stops and passes the task to a person, with the context they need. It doesn't guess.
Nothing runs unseen.
Every action is logged and monitored, so you always know what was done, and why.
04 / 08
What we build
Agents
Software that takes a goal and works through the steps to reach it — researching, drafting, updating records — within the limits you set, and handing off to a person when a decision needs one.
Workflows
Dependable automation across the systems you already run: the same steps, done the same way every time, without anyone copying data between tools by hand.
Augmented language models
Models that answer from your own information rather than the open internet, with checks in place so answers are accurate to your business, not just fluent.
05 / 08
Where it pays off
06 / 08
How we work
We document the process before we automate it. Automating a process that isn't consistent just produces faster chaos.
Map
We trace the work as it's actually done today, exceptions included.
Prototype
A working version, tested against real examples from your business — not a generic demo.
Supervised rollout
It goes live with a person reviewing its work, so mistakes are caught before they matter.
Earned autonomy
Only the tasks it has proven reliable on get to run unreviewed. The rest stay supervised.
You end up with a working system in your own tools, with monitoring, a runbook for your team, and full documentation.
07 / 08
Credentials
Our architects hold Anthropic's Claude Certified Architect – Foundations credential, which tests the judgement behind production AI systems: when to use an agent, where its limits are, and how to make it reliable. It's the same judgement this page is about.
08 / 08
Working with us
We'll tell you what not to automate.
Sometimes the right answer is a simpler workflow, or no AI at all.
You work directly with the architects.
No account manager relaying messages between you and the people doing the work.
One process first.
A contained first project, scoped and priced before it starts.
You keep the documentation.
What's built is explained well enough that you're never locked in.
FAQ
No. It takes the repetitive load off your team so they spend their time on the work that needs judgement — the part agents shouldn't be doing anyway.
It's designed so mistakes get caught: routine tasks are easy to reverse, costly ones need a person's approval, and every action is logged.
Because the savings don't survive the first expensive mistake. We'd rather automate less and have it hold up for years than automate everything and unwind it in months.
Mapping a single process typically takes one to two weeks; a working first version follows within a few more, depending on the systems involved.
Every project is scoped and quoted before it starts, based on the process and systems involved.
We work inside your existing systems wherever possible rather than moving data to a new platform, and scope access to what each project needs.
Every deployment includes monitoring and a clear handoff to a person for anything outside its scope, plus a runbook so your team isn't dependent on us for routine fixes.
No. We start from what you already use, not a migration.
A 30-minute call is enough to know whether it's a good fit for an agent — and if it isn't, we'll say so.