Workflow and approval automation
Multi-step processes that need routing, checks, and a human decision at the right moment.
Custom AI Systems
For operational problems valuable enough to deserve a purpose-built system.
Most businesses do not need custom software. Some have a process that is worth real money, spans systems that will never integrate on their own, and cannot be expressed by anything you can buy. That is the work we take on.
What the work changes
The same progression underneath every project.
- 01
Fragmented workflow
Critical information lives in separate systems. People reconcile it by hand, and the reconciliation is the job.
- 02
Connected model
The systems are joined into one model that represents the process as it actually runs — including the parts nobody documented.
- 03
Prioritised decisions
The model surfaces what matters now, with the evidence behind it, instead of another report someone has to interpret.
- 04
Controlled action
Work is carried out inside permissions and approvals you define, with a record of what happened and why.
When this is the right call
- Important workflows span systems that were never designed to talk to each other.
- Skilled people spend hours reconciling information by hand before anyone can decide anything.
- Valuable decisions currently rely on partial or stale data.
- Repetitive work could be automated, but only with real controls and an audit trail.
- Existing SaaS cannot represent how your process actually works.
- AI would be useful, but only with business context, permissions, and evidence attached.
The kind of systems we build
Categories, not a service catalogue. Each project is scoped to one operational problem.
Business-system integration
Joining systems that hold different halves of the same truth, and keeping them reconciled.
Internal operational software
The tool your process needs when the off-the-shelf product cannot express it.
AI copilots with context
Assistance grounded in your data and permissions — not a chat box with no access to the work.
Decision-support systems
Bringing evidence together so a judgement call is made on complete information.
Connected reporting
One reconciled picture across sources, with stated coverage and freshness.
Whether we are a fit
We take on a small number of custom projects. Being clear about this early saves everyone a month.
A good fit
- A material operational problem with a cost you can describe
- Measurable business value from solving it
- Access to the people who own the process
- Realistic access to the systems and data involved
- Willingness to change how the work is done
Not a fit
- A novelty chatbot with no underlying workflow
- Promises of fully autonomous action we cannot support
- Mass unsolicited outreach
- Generic website work with no operational value
- “Add AI” with no defined business problem
- Low-value automation with no measurable outcome
How delivery runs
- 01
Diagnose the operational problem
What it costs today, who feels it, and what a solved version looks like.
- 02
Map systems, data, actors, and risk
Where the information lives, who acts on it, and what must never go wrong.
- 03
Define the smallest valuable system
The narrowest build that changes the outcome — not a platform you did not ask for.
- 04
Build and integrate
Implemented against the real systems, validated against real cases.
- 05
Launch with controls
Permissions, approvals, and an audit trail from the first day it runs.
- 06
Measure and improve
Checked against the outcome it was built to change.
Timelines depend on the problem and on how quickly systems and process owners are available. We scope a specific schedule during diagnosis rather than promising a fixed number of weeks up front.
Describe the problem
Tell us the process, the systems involved, and what the current manual workflow costs. If it is not a fit, we will say so.