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 →AI Agents & Assistants
Document agents, knowledge copilots and operational assistants integrated with your systems and chat tools — with retrieval that cites sources, permissions per user and an approval step for anything that writes data.
What this service includes
- 01
Use-case and guardrail design
- 02
Knowledge base and retrieval with citations
- 03
Integration with ERP/CRM, email, Telegram/Zalo
- 04
Approval flows and audit log
- 05
Evaluation set and quality measurement
- 06
Monitoring and continuous improvement
Challenges we specialize in
Document-heavy operations
Invoices, contracts and declarations reconciled by hand.
Knowledge lookup
Staff asking the same questions in chat every day.
Newsroom and media workflows
Research and drafting inside the reporter’s chat tool.
Customer-facing assistants
Answers that must be correct and traceable.
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
- Back-office and operations
- Media and newsrooms
- Customer service teams
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
Which models do you use?
The best fit per task — commercial APIs or self-hosted models — always behind our own guardrails.
Will the AI take actions on its own?
Only within defined limits; anything that sends or writes sensitive data has a human approver.
How do you measure quality?
An evaluation set agreed with your team, scored before launch and monitored after.
Where does our data go?
Data handling is defined per project; self-hosted options are available.
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 →