AI transformation6 min read
The five levels of AI readiness — and why most companies are at level two
Before choosing a use case, know where your data, processes and people actually are.
Read more →Workflow Automation
Automation of document intake, reconciliation, reporting and hand-offs across systems, using rules where they suffice and AI where judgement is needed, with exceptions routed to people.
What this service includes
- 01
Process mining and automation candidates
- 02
Rule-based automation and integrations
- 03
AI extraction and classification
- 04
Exception queues and approvals
- 05
Reporting and audit trail
- 06
Change management
Challenges we specialize in
Reconciliation
Matching orders, invoices and deliveries.
Reporting
Weekly reports assembled by hand.
Intake
Forms, emails and PDFs typed into systems.
Hand-offs
Work stuck between departments.
How a project runs
01
Readiness assessment
Five-level maturity map, data and process review, prioritised use cases.
02
Pilot design
Scope, data set, owners, guardrails and acceptance criteria.
03
Build & verify
Run in parallel with the current process; measure quality and time.
04
Scale & govern
Roll out with training, monitoring and a governance cadence.
Who this is for
- Operations and finance
- Logistics and trade
- Service businesses
Deliverables
- Readiness assessment and use-case backlog
- Pilot with measured results
- Deployed assistant / automation with audit trail
- Training and governance playbook
A sample of our work
Related services
Industries we work with
Government & Agriculture
Admin dashboards, programme reporting and planning data for public bodies and agri-trade.
Travel & Hospitality
E-commerce, cross-department ERP, AI assistants and field apps for tour operators.
Media & Journalism
Newsroom CRM, Telegram AI bots and content operations for media teams.
Education & Training
Membership academies, learning platforms and training programmes.
Technology & Startups
MVPs, internal tools, market research and go-to-market for tech teams.
Manufacturing, Energy & IoT
Industrial IoT, monitoring and forecasting — capability profiles and pilots.
FAQ
Automation or AI?
Rules wherever possible — cheaper, testable; models only where documents or judgement vary.
How do you handle errors?
Every automation has an exception queue and a human owner.
What tools?
Our own workflow services, n8n where appropriate, and integrations with your systems.
How fast?
A first automation in 3–6 weeks.
Start with the hard part
Bring us the problem nobody on your team has time to own. We will scope it, price it and start with a pilot you can measure.
Blog
AI transformation5 min read
Agents that cite their sources and hand decisions to people
Two design rules make AI assistants deployable in real operations: every answer has a source, every action has an approver.
Read more →
AI transformation4 min read
Rules first, models second: how we scope automation
Most repetitive work is rule-shaped. Use a model only where documents or judgement vary.
Read more →