Start on SaaS
Turn on only the modules you use and prove one scenario; move to private cloud later without redoing the setup.
Contact →
SMEs · AI applications
What AI do SMEs actually need? Get one scenario working before anything else
SMEs rarely lack a model. What is missing is the step that puts AI into daily work: who answers enquiries, who keeps the ledger, who drafts quotes and documents. Start with one scenario that happens every day, run it on what the foundation already has, then decide what comes next.
The four needs we hear most
01
No missed enquiries
Enquiries from the website, WeChat and forms land in one lead pool; AI pre-sorts and suggests replies, people confirm and follow up.
02
AI drafts the paperwork
Quote notes, proposals, weekly reports and first-draft clauses come from AI; people edit and sign off. Approvals stay human.
03
One ledger first
Customers, projects, assets and expiry reminders run on ready-made ledgers — no months of requirement meetings first.
04
Be found in AI search
Turn brand facts, FAQs and site content into a form AI can cite, and monitor how AI assistants answer questions in your field.
Suggested starting applications
Lead pool with AI triageMulti-channel enquiries, assignment and follow-up reminders
AI documents, sheets and slidesDraft, rewrite and tidy up; people finalise
Company knowledge Q&AAnswers from approved content only; restricted material stays out of the shared index
Asset and expiry ledgerReminders before domains, certificates, contracts and licences expire
Website + GEO visibilityMake sure AI search describes you accuratelyLearn more →
How SMEs usually work with us
Use our filed AI services
No need to build models; if you offer AI features to the public, we first assess the filing and registration requirements for your scenario.
How it works →Small, staged customisation
When off-the-shelf is not enough, assess first and customise in stages — no all-at-once rollout.
Contact →We have the technical groundwork for this, but we complete a requirements and delivery-risk assessment before giving you a firm proposal.
Delivery scope
Included
- Scenario mapping and a requirements and delivery-risk assessment
- SaaS activation or private deployment, with organisation, roles and permissions
- One core scenario configured and composed into production
- Training and post-launch follow-up
Not included — said before the proposal
- No model training or fine-tuning
- No guarantee that AI output is always right — key conclusions need human confirmation
- No approvals or external commitments on your behalf
- Rich real-time interfaces need separate front-end work, assessed separately
FAQ
On a tight budget, where should we start?
Start with something that happens every day and shows results directly — handling enquiries or drafting documents. Prove it on existing capabilities, then decide whether to expand. Do not start with the whole suite.
Do we need our own model account?
You can bring your own model account or use the platform default. Models can be switched at any time without redoing business configuration.
Where does our data live?
Your choice of SaaS or private cloud; with a private deployment the data stays on your own servers.
Start with a requirements and delivery-risk assessment
Tell us about your business and data boundaries; we assess feasibility, risk and a staged plan before quoting.