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AWRA OpsHub uses AI to make your operation faster — never to put it at risk. Every AI feature is grounded in facts, reviewed by a human, and private by default. This page tells you exactly which models we run, what data leaves your workspace, what never does, and where you have controls today.
These are not aspirations — they are the rules the product is built to. Everything on this page ladders up to one of them.
Our assistant retrieves approved, curated knowledge and answers from it — low-temperature, short, and traceable to a source. When it doesn't have grounds to answer, it says so and hands off rather than improvising.
AI accelerates the work — it never has the final word. Suggestions, drafts and summaries are proposed to a person who reviews, edits and approves. Money movement, approvals and compliance filings are never fully automated by a model.
We send the least data needed to serve a request, isolated per workspace, over encrypted channels. Prompts are not retained to train models, and sensitive fields are kept out of what we send wherever we can.
You can see where AI is used, which models we run, and who processes your data — right here, kept current. Where a control is on our roadmap rather than shipped, we say so instead of implying otherwise.
No hidden AI. Here is every place a model is involved, what it does, and the data it touches.
The public assistant answers product and support questions. It searches our curated, approved knowledge base, then a model turns the top matches into a short, grounded answer — and hands off to a human when it isn't confident.
Forecasts demand, flags slow-moving stock and surfaces trends across your operational data. Outputs are decision-support: they inform a buyer or planner, who decides what to act on.
Guides users through learning content by answering from the curated Academy knowledge set. Like the website assistant, it stays inside approved material rather than free-forming.
Where offered, AI drafts text (notes, descriptions, summaries) to save typing. Every draft lands in an editable field for a person to review and change before anything is saved or sent.
We use several providers for resilience so a single outage does not take the assistant down. All are used the same way: to phrase an answer grounded in retrieved knowledge.
| Model | Where it runs | What we use it for | Data handling |
|---|---|---|---|
| Meta Llama 3.3 70B | Groq & OpenRouterHosted inference gateways | Grounded answering for the website, help and Academy assistants. | Prompt sent to phrase one answer; not retained by us to train models.See provider terms below. |
| Google Gemini 2.0 Flash | Google AI | Additional grounded answering route used for resilience. | Prompt sent to phrase one answer; not retained by us to train models.See provider terms below. |
Models change as the field moves. We may add, retire or reorder providers to improve quality, latency or cost. When we do, this table is updated — it is the current source of truth, not a one-time snapshot. Our commitments below hold regardless of which model serves a given request.
On our roadmap. A self-hosted inference option — where AI requests are answered entirely inside our own environment with no third-party gateway — is in active development. We will list it in the table above once it is production-ready.
The single most important thing on this page. We send the minimum needed to answer a request, and draw a hard line around the rest.
Only for the request you triggered, over an encrypted connection:
Never sent to a third-party model to serve the assistant:
This is why our assistant doesn't hallucinate its way into trouble: it retrieves first, generates second, and stays inside what it found.
Your question is matched against our curated knowledge base. Only approved, relevant snippets are pulled.
Those snippets are handed to the model as the only material it may answer from — with instructions to stick to them.
The model writes a short, low-temperature answer. No source, no confident answer — it declines rather than invents.
If the answer would be weak, the assistant declines and hands off to a human — it never fakes certainty.
Expand each one for the detail your security and legal teams will want.
Prompts sent to a model exist to answer your request in the moment. We do not collect, retain or use your prompts, documents or records to train, fine-tune or improve any model — ours or a provider's.
Where a request is served by a third-party gateway, we select and configure providers with the intent that inputs are not used for their model training. Provider terms are listed under Sub-processors.
Each AI request carries only what that request needs — your input plus relevant approved knowledge — not your database. Prompts are transmitted to generate a single answer and are not stored by us as a durable AI dataset.
AI features operate within your workspace boundary. One organisation's data is never blended into another's request, and knowledge retrieval is scoped so answers cannot cross workspaces.
Traffic to model providers travels over encrypted connections. Credentials and connector secrets are encrypted at rest and are never included in prompts.
Models draft, summarise and suggest. Actions with real-world consequences — approvals, payments, tax filings, postings — require an authorised human. There is no path where a model alone commits an irreversible action.
The third parties that may process an AI request on our behalf. Review each provider's own data-use terms alongside our commitments.
| Sub-processor | Purpose | Data processed | Region |
|---|---|---|---|
| GroqLLM inference gateway | Grounded answering (Llama 3.3 70B) | Your question + approved knowledge snippets | United States |
| OpenRouterLLM inference gateway | Grounded answering (Llama 3.3 70B) | Your question + approved knowledge snippets | United States |
| Grounded answering (Gemini 2.0 Flash) | Your question + approved knowledge snippets | Google global infrastructure |
Need this list formalised in a contract? Our Data Processing Agreement covers sub-processors, and we notify customers of material changes. A future self-hosted inference option will remove all third-party sub-processors for AI requests once it ships.
AI is a convenience, not a lock-in. Turn it down, turn it off, or take your data out — on your terms.
Admins can disable AI insights per module — inventory, procurement, sales, accounting — from the insights settings. Modules keep working; only their AI insights go quiet.
Manage privacy choices →Request a full data export or account deletion at any time. GDPR-style export is available from account settings; deletion follows our documented erasure flow.
Data & deletion →Saw an answer that looks wrong, biased or unsafe? Tell us and we'll investigate and correct the underlying knowledge.
Responsible disclosure →See how AI processing fits our broader privacy and data-processing commitments.
Privacy policy →A single admin toggle to disable the website assistant, academy assistant, and drafting features workspace-wide is in progress. Today, granular controls exist for AI insights modules only.
Talk to us if this is a blocker →A deployment mode where AI requests are answered entirely inside our own environment — no third-party gateway — is in active development.
Register interest →Trust isn't a launch-day promise. Here's how we keep these commitments true as models and threats evolve.
AI outputs feed decisions made by people. High-impact actions require explicit authorisation — there is no autonomous approval or payment path.
We tune retrieval and prompts so answers stay accurate and on-source, and we correct the knowledge base when an answer misses.
Adding or swapping a model is a deliberate change. This page — the model list and sub-processors — is updated to match.
Because answers are grounded in curated content rather than open-web free-form, we constrain the surface where bias can creep in.
Reported AI issues route into our disclosure and response process. We investigate, remediate the source, and follow up.
This is a living document. The version and date below reflect the last time our AI practices or model list changed.
Grounded answers, human oversight, and controls you actually hold. That's the deal.
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