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 →Prioritised use cases, capable teams and AI agents under control.
Our AI Transformation Studio helps organisations find the use cases worth doing, prepare data and people, and deploy AI assistants and automations with explicit approval steps — measured against a baseline.
Services in this area
AI Readiness Assessment
Know where you stand before you spend — a five-level map and a use-case backlog.
Explore →AI Agents & Assistants
Assistants that cite their sources and hand decisions to people.
Explore →Workflow Automation
Remove the repetitive work — with rules first, models second.
Explore →AI Training & Team Enablement
Make the team capable — not just the tool.
Explore →AI Governance & Risk
Policies, controls and audit trails so AI stays accountable.
Explore →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.
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
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.
Latest
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 →Services FAQ
Do you build AI or advise on it?
Both — assessment and governance on the consulting side, agents and automation on the engineering side, one team.
What about data privacy?
Per-project data handling, self-hosted options, and a human approver for anything sensitive.
Where can we start cheaply?
The readiness assessment or a single-process automation pilot.
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.