§ 02 · How we work
Start with the problem, then use the right tool.
Not every problem needs AI. Some need better visibility, some need a cleaner workflow, some need software, and some genuinely benefit from AI. We use the simplest thing that solves your problem, then build from there.
§ 01 · Controlfeeds Automate →
See what's actually happening.
Work gets messy when your processes live across inboxes, spreadsheets, disconnected systems and people's heads.
So the first job is to make the work visible: what actually happens, who owns each step, where the data sits, what gets stuck, and what needs someone's approval. Once you can see it, you can improve it.
- One view of the work
- Clear ownership
- Connected data
- Useful reporting
- Exceptions people can see
- A baseline to improve from
The questions you get answers to
- Where is this customer up to?
- Who approved this?
- Why did this fail?
- What's waiting on someone?
- Which part takes the longest?
§ 02 · Automatefeeds AI →
Take the repetitive work off your people.
If the steps are known and repeatable, they can be automated.
That means moving data between your systems, running the checks, creating the records, triggering the follow-ups, routing approvals, generating the reports and keeping the audit trail, without anyone doing it by hand. Your people stay on the work that actually needs them.
- Fewer manual hand-offs
- Less copy and paste
- Faster processing
- Fewer mistakes
- Consistent workflows
- Clear approvals and audit history
What your team stops doing
- Entering the same information twice.
- Building the same report by hand every week.
- Checking whether someone has replied.
- Chasing the approval.
- Moving data from one system to another.
§ 03 · AIfeeds Optimise →
Use AI for the messy parts.
Rules work well until the input stops being predictable.
Emails, documents, conversations, research and judgement calls are where AI starts to earn its place. It can read, classify, compare, research, draft and recommend, and your people stay involved wherever the decision matters.
- Read and understand documents
- Triage requests
- Draft responses
- Research and compare
- Summarise complex information
- Recommend a next action
- Handle bounded multi-step tasks
What you can ask it to do
- Read this application.
- Work out what's missing.
- Compare it with our policy.
- Draft the response.
- Tell me what actually needs my attention.
§ 04 · Optimisefeeds the next Control →
Measure it, improve it, and go again.
Getting something into production isn't the finish line.
We measure the time saved, the cycle time, the errors, the throughput and the effect on your business, then fix the weak points, increase automation where it makes sense, and give AI more responsibility only once it has earned it. Then we find the next bottleneck.
- Faster cycle times
- Lower operating effort
- Better reliability
- Higher automation rates
- A clear return on the work
- Continuous improvement
The questions we keep asking
- This used to take 14 minutes. Now it takes 90 seconds.
- Why does this still fail 4% of the time?
- Does this approval still need to exist?
- What's the next bottleneck?