Give staff and customers trusted answers from approved knowledge
Give staff and customers accurate answers from approved company knowledge.
Give staff and customers grounded answers from approved knowledge.
Answer questions from approved knowledge and escalate appropriately when certainty is insufficient.
Built for support and knowledge-intensive organisations
- Organisations with repeated customer or employee questions
- Teams whose approved knowledge is fragmented across systems
- Customer Service Directors, Heads of Knowledge, HR Directors and IT Directors
Employee Knowledge Assistant
The employee-knowledge use case: give employees trusted answers from your company knowledge, connected to SharePoint, Microsoft 365 and your approved sources.
Employee Knowledge Assistant
What your team gets
White-label chat, your brand
A chat assistant embedded in your product or intranet, in your design — organised into the modules that fit your business (HR, absences, rostering, or your own).
Answers from approved knowledge
Each module answers from its own approved knowledge, with citations available so users can check the source.
Your team stays in control
An admin portal logs every conversation. Users rate answers; your support team reviews and approves corrections before they improve the assistant.
Safety and cost visibility
Content-safety alerts flag misuse, and usage dashboards show activity and cost per client, user and model.
A real product, in your brand
The product is white-label: every deployment carries the client's own design. On the use-case review we show it working live.
What is standard, and what is configured for you
The assistant, admin portal, corrections workflow, safety alerts and usage reporting are standard. Your modules, knowledge, branding and permissions are configured for you. Integrations with your systems are scoped separately.
Built on the Netfully AI Framework
Netfully provides the reusable framework, agent patterns and quality controls. We then configure the selected modules to your terminology, rules, templates, data and systems.
Company intelligence layer
A structured layer of your organisation’s approved knowledge, terminology and rules that every module draws on.
Reusable agent patterns
Proven agent patterns reused across engagements, so you do not pay to rebuild basic AI infrastructure from scratch.
Governance and data separation
One dedicated deployment per client. Netfully reuses framework architecture, patterns and controls — not customer data or confidential business rules.
Quality and assurance controls
Your team reviews AI answers in an admin portal: feedback, a corrections approval workflow and content-safety alerts.
Prove value on one real workflow before you scale
Use-case review
A conversation to determine whether the workflow is appropriate.
Fixed-price prototype
Working proof on real examples, against agreed success criteria. From €9,500.
Production deployment
We configure the selected capability for your rules, data and systems, then connect it to the agreed production environment. Commercial terms are confirmed after the prototype.
Run and scale
Monitoring, quality improvement, support and additional modules.
AI Support Assistant: frequently asked questions
Is it white-label?
Yes. The assistant and its admin portal run under your brand and design, as a dedicated deployment for your organisation.
How do we keep answers accurate?
Through the admin portal: users rate answers, your team reviews every conversation, and a corrections workflow lets your support team approve improvements before they take effect.
What stops it answering something it shouldn’t?
It answers from approved knowledge per module, citations show the source, and content-safety alerts flag misuse to your administrators.
Can it integrate with our systems?
Integrations are configured per customer and scoped separately. Bring one support workflow to the use-case review and we will tell you what it takes.
Put AI to work on one real problem
Tell us about one workflow you want to improve. We will review your use case and contact you by email or phone to discuss whether it is suitable for a proof-led prototype.
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