AI Automation & Transformation
Automation earns its place when it removes hours from a process people actually run. We measure the manual path first, automate the part that is genuinely rule-based, and route the rest to a person rather than guessing.
How the engagement runs
Agreed before we start, not discovered later. You own everything we produce, whether or not you continue with us.
- 01
Baseline
Timed baseline + candidates
- 02
Boundary
Decision rules + escalation path
- 03
Build
Working automation
- 04
Verify
Measured result
- Starts with
- Process baseline
- You get
- Running automation + measurement
- Shape
- Per process or programme
You are probably here because
If none of these sound familiar, this may not be the practice you need. Tell us what is actually happening.
- 01
A team re-keying the same data between two systems
- 02
Work that queues for days waiting on one approval
- 03
A previous automation nobody trusts enough to leave unattended
- 04
Claimed savings nobody has verified
How we decide what to automate
Not all four land in every engagement. We scope to what the problem actually needs.
The manual path, timed
Before anything is built we measure where the hours go. The bottleneck is usually an approval wait, not the typing everyone assumed.
A person on the uncertain cases
Confidence thresholds decide what is handled automatically and what reaches a human. The system escalates rather than guessing quietly.
An audit trail by default
Every automated decision is logged with the rule or score behind it, so a disputed outcome can be explained months later.
Savings measured, not asserted
The same process is measured after go-live against the original baseline. If the number did not move, we say so.
What we can point at
Including where we cannot. An unproven claim is worth less to you than a stated limit.
The figures in the diagrams above are illustrative
They show the shape of a baseline measurement, not a client result. Your numbers come from measuring your process in week one.
Questions this answers
If you cannot answer these about your current system, that is usually where we start.
Which part of this process is actually worth automating?
What happens when the system is not sure?
Can we explain an automated decision to a regulator?
How will we know whether it saved anything?
How the engagement runs
Indicative, not a template. The shape holds; the depth of each phase moves with the problem.
Baseline
We shadow the process as it runs today and time each step. Nothing is automated until we know what the current cost actually is.
Timed baseline + candidates
Boundary
We decide what the system handles, what it escalates, and where a human must sign off. The confidence threshold is set with you, not assumed.
Decision rules + escalation path
Build
The automation, with logging and the audit trail from the first version rather than added when someone asks.
Working automation
Verify
The same measurement re-run against the baseline, and tuning where the numbers disagree with expectations.
Measured result
What we reach for first
Not the only things we work with: the ones we default to unless there is a reason not to.
Models
- Classification
- Extraction
- LLM routing
Integration
- Queues
- Webhooks
- ERP + CRM APIs
Control
- Thresholds
- Approval steps
- Audit log
Measurement
- Baseline timing
- Dashboards
Tell us what you’re trying to build
An idea, a stalled project, or a system that has outgrown its architecture. Send it over and we’ll tell you where we would start and whether we’re the right team for it.
- Response time
- Within one business day
- First call
- 30 minutes, no deck
Prefer to write first? Send the brief and we’ll come back with questions before we come back with a proposal.