The approach
We drive. You ride along.
An experienced squad runs the programme alongside your people, with the platform capturing everything as it goes. You are not handed a report at the end — you watch the business case assemble itself, and you own the platform afterwards.
First principle
AI is one accelerator of nine.
Hyperautomation is a partnership between business and technology using a collection of modern platforms. Matching a requirement to the wrong one is the most expensive mistake available — you do not want a language model doing a routing rule's job. Every requirement we capture is categorised to the treatment that actually fits.
- 01
AI and large language models
Intelligence
- 02
Machine learning
Pattern recognition for improvement
- 03
Data platforms (ETL/ELT, DaaS)
How data moves
- 04
Integration platform as a service
Makes applications talk
- 05
Business process management
Automates workflow
- 06
Robotic process automation
Automates repetitive processes
- 07
Event-driven architecture
Acts on a given situation
- 08
Process and task automation
Right action, right time
- 09
No-code and low-code tools
Lets teams build for themselves
The assessment
Eight stages, from scope to a decision.
Each stage feeds the next, and the dashboards update as it runs. There is no long silence between kick-off and findings.
- 1
Pre-assessment
Scope, stakeholders and the charter metrics the programme will be judged against.
- 2
General assessment
Organisation-wide baseline across maturity, technology readiness and governance.
- 3
Department assessments
Each business unit assessed against its own processes, volumes and pain points.
- 4
Discovery interviews
Structured sessions capturing workflows, hours consumed, tools used and risk flags.
- 5
AI analysis
Requirements categorised, scored for fit and matched to the accelerator that suits them.
- 6
Validation
Enterprise, data and integration architects review. Vendor quotes and estimates attached.
- 7
Business review
Costs, savings, FTE impact and confidence ratings assembled into business cases.
- 8
Roadmap generation
Sequenced delivery plan, priced and phased, with a go / no-go gate into stand-up.
End to end
What goes in, who checks it, what comes out.
The model is only as good as its inputs and its review. Both are explicit.
Captured from the business
- Stakeholder interviews and pain points
- Detailed workflows and process evaluation
- Hours consumed, transaction volumes, time capture
- Manual against automated treatment
- Applications landscape and integration points
- Data quality and infrastructure
- People, skills and process maturity
- Governance and compliance position
- Firm charter metrics — revenue growth, productivity, FTE, NPS
- Supporting documents, risk flags and observations
Human in the loop
- Enterprise architects
- Data architects
- Integration architects
- Vendor quotes
- Professional services estimates
Assembled into business cases
- Total cost savings
- FTE impact
- Fit-to-automate score
- Hours saved
- Confidence rating
- Priority rating
- Complexity rating
- ROI insights
- Implementation map
- Technology stack insights
- Success metrics
- Business outcomes
- Risk mitigation
Then a go / no-go
The assessment terminates in a decision, not a document. Live dashboards, departmental and organisational business cases and a detailed roadmap go to the approval gate. What clears it moves straight to project stand-up, with proofs of concept already built.
Two paths
Run them in parallel, or stagger them.
One answers what to build and what it returns. The other gets your people using it safely. They are independent, and most organisations need both eventually.
Department and enterprise assessment
An experienced squad co-runs the programme from requirements to release, with the BizCase platform underneath producing the business cases as you go.
For the board, CFO, COO and CIO
Read moreEnd user training and governance
The rollout programme itself — readiness, policy, training and evidence — run through Userz so adoption is measured rather than assumed.
For operations, IT, HR and end users
Read moreFind out what is actually there.
Most organisations are surprised by both halves — how much opportunity exists, and how much of it is not an AI problem.
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