Make Your Company
Self-Improving
In a larger business, repeated work gets trapped between departments, systems and approval chains. We find one high-volume loop, give it an owner and build the controls needed to measure whether automation improved it.
Overnight
REVIEW AND ITERATION
3 loops
TO START WITH
Measured
AGAINST AN AGREED BASELINE
Turn repeated work into measured automation loops
A copilot bolted on top of the org chart makes individual tasks faster. The company still works the same way.
The better move is to redesign the repeated workflows as governed loops. Each one listens for signals, decides within policy, acts through approved tools, checks the result, and feeds mistakes back into the next version.
YESTERDAY'S COMPANY
- People relay information by hand
- More work means more headcount
- Managers chase status
- Decisions wait for a person
SELF-IMPROVING COMPANY
- AI handles the defined steps
- Tokens = capacity
- Routine coordination runs itself
- The system improves while you sleep
What a useful automation loop needs
Sales, support, ops, hiring, finance. Pick a repeated workflow and the parts are usually all there.
Sensors
Customer emails, support tickets, telemetry, cancellations. Signals the loop can inspect.
Policy
What the loop can do on its own. What it must ask a human about. What it must log.
Tools
APIs the AI can call. Read this table. Trigger that workflow. Send this email.
Quality gate
Evaluations, safety filters and human review for high-stakes moves. The bit that catches bad outputs before they reach customers.
Learning
When the loop gets something wrong, the failure is logged, reviewed and turned into a patch: better instructions, better tests, or a tighter workflow.
What the leadership team gets
Our client and internal systems keep examples, corrections and review outcomes beside the work. We use that evidence to decide which instructions, rules or tests should change.
A defined review, one controlled implementation and a measured decision on what deserves further investment.
BOOK AN ADVISORY CALLLoop audit
We map your business and pick the first three loops to price. No PowerPoint. We name them, scope them, and price them up front.
Build a company brain
What's inside heads, Slack, Raq.com, email, Notion and Drive gets captured into one place your AI can read. Without that memory, the loop has less to work with.
Build the first loop
Inputs, tools, policy and approval are tested together against real work before the loop takes on more volume.
Add the loop on top
A second pass keeps watch. When the first loop fails, it captures the example, updates the instructions, knowledge or workflow, and adds a check so the same case is tested next time.
We run recurring agent work inside Raq.com
Our own agents work from shared accounts, tools, knowledge and records. Repeated jobs can be reviewed, corrected and tested again, while people retain control over permissions and approval.
When this is worth discussing
We work best when there is a real operating problem, enough volume to measure and people from the affected teams who can make decisions.
Usually a good fit
- An established UK business, usually with annual revenue above £10m
- A repeated process with a known cost, delay, error rate or capacity problem
- A senior sponsor and a day-to-day owner who understand the work
- Access to the relevant staff, systems, sample records and security requirements
We may point you elsewhere
- A standard product already covers the process well
- The requirement is a one-off small build with no wider operating case
- There is no owner or access to the people and data needed to test the result
- The plan relies on AI making high-impact decisions with nobody responsible for review
Talk to us about the work you repeat
Tell us which process crosses the most teams or creates the most rework. We'll explain what evidence we'd need, who should be involved and whether it is suitable for a first AI programme.