01 · Operator
"Where is asset A123 now?"
Live location, last seen, assigned team, current state and the path it took to get there.
// Conversational Ops · Ask anything · Get grounded answers
Plain English.
Real answers.
Ask anything in natural language. Investigate issues, summarize performance, verify evidence and trigger workflows — without navigating dashboards. Every answer is grounded in operational records with citations to the underlying events.
100%
Grounded responses
6
Persona profiles
AR + EN
Languages
Ask
Answer
Cite
Act
// How conversational ops works
Ask → answer → act.
Six stages between a question and the action it triggers. Every response is grounded against real operational records — no hallucination, no generic AI prose.
- 01 · Ask
Natural language
Plain English (and Arabic). Operators, supervisors, executives — same interface, different scope.
- 02 · Retrieve
Across the graph
Search objects, events, workflows, sensor data, documents, images and connected systems.
- 03 · Answer
Grounded prose
Generate a natural-language answer rooted in actual records — never invented.
- 04 · Cite
Source chips
Every claim links back to the source record, log entry, image, approval or timeline event.
- 05 · Recommend
Next best action
Suggest the right next step — with rationale and links to the underlying signals.
- 06 · Act
One click
Trigger a task, escalation, work order, report or approval — without leaving the conversation.
// Ask questions like
Same interface. Every role.
One surface, six profiles. The question you are allowed to ask, and the answer you get back, are both shaped by who is asking.
02 · Supervisor
"Why did this incident breach SLA?"
Root-cause narrative with citations to logs, checks, parts and people involved.
03 · Manager
"Top risks across all sites this morning?"
Ranked summary by severity and business impact, drillable to specific events.
04 · Executive
"Summarize yesterday's safety incidents."
Concise executive brief — incidents, causes, response times, open follow-ups.
05 · Auditor
"Inspections missing photos this week?"
Compliance gaps with full audit-grade citation chain.
06 · Field team
"Vehicles still in the yard?"
Live yard view with vehicle IDs, dwell times and assigned jobs.
// Scope and permissions
The same question, answered differently.
Conversational Ops inherits your existing role model rather than introducing a second one. A question is answered from the records the asker could already open — nothing more. Where a request exceeds that scope, the assistant says so instead of partially answering.
| Profile | Can see | Can trigger directly | Requires approval |
|---|---|---|---|
| Operator | Assets, jobs and events in their assigned zone | Status updates, check-ins, photo capture | Anything outside the zone |
| Supervisor | All activity in their zone, across every role in it | Task creation, reassignment, escalation | Spend, contracts, roster changes |
| Manager | Every site in their business unit | Reports, cross-site escalation | Budget-affecting actions |
| Executive | Aggregates across sites — no individual personnel records | Reports and briefs | read-only by default |
| Auditor | Full record history, including superseded and deleted states | Nothing — evidence export only | read-only, always |
| Field team | Their own jobs, cached for offline use | Job state, evidence capture | Closing a job already past SLA |
// Answers you can trust
Grounded. Cited. Auditable.
Every response is built from actual operational records. Citations show the source — and operators can click through to verify before acting.
Citations attached to every answer
Source records — asset history, RFID reads, sensor logs, work-order timelines, inspection photos, approvals, ERP transactions, incidents, user-activity logs and location events.
Asset historyRFID readsSensor logsWO timeline
Conversational actions
From question to action without leaving the chat: create a task, open an incident, assign a technician, escalate, generate a report, notify a team, update asset status or start an approval flow.
Create taskOpen incidentNotifyApproval
// What "grounded" is holding you to
A guarantee is only useful if it can fail loudly.
"Grounded" is an easy word to put on a slide. These are the five rules the assistant is actually held to, and what each one does when it cannot be met.
| Rule | What happens when it cannot be met |
|---|---|
| Every claim carries a source | A sentence that cannot be traced to a record does not get written. Citations are generated with the answer, not attached afterwards, so an uncited claim is a failed answer rather than a tidy one. |
| No evidence, no answer | Where the records do not settle the question, the assistant says what is missing and which system would hold it. It does not fill the gap from general knowledge — a plausible answer with no record behind it is the failure mode this whole design exists to prevent. |
| Answers respect the asker | Retrieval runs under the asker's own permissions, so a record they cannot open cannot appear in a summary either. Scope is enforced before generation, never by asking the model to keep a secret. |
| Freshness is stated, not assumed | Every cited record carries its own timestamp and source system. Where a feed is stale or an integration is down, the answer says so rather than quietly reporting yesterday's position as today's. |
| Questions and answers are logged | Every exchange is retained with the evidence it used and the actions it offered — so an answer that turned out to be wrong can be reconstructed, not just regretted. |
// Honest limits
What it will not do for you.
Most disappointment with conversational interfaces comes from expectations nobody stated at the outset. These are ours, stated at the outset.
| Limit | Why |
|---|---|
| It only knows what is connected | Conversational Ops answers from the systems on the platform. A process that lives in someone's spreadsheet or in a WhatsApp thread is invisible to it — and it will tell you it is, rather than guessing around the gap. |
| It will not guess at intent | An ambiguous question gets a clarifying question back, not a confident answer to the wrong one. That is slower on the first turn and considerably faster overall. |
| It is not an approval shortcut | Actions offered in the conversation run through the same approval chain as actions taken anywhere else. Asking in plain English changes the interface, not the authority. |
| It does not replace the record | The answer is a reading of the underlying records, and the records remain the system of truth. Every citation is a link precisely so the reading can be checked against the source before anyone acts on it. |
| It inherits your data quality | Where check-ins are logged late or scans are missed, the narrative will faithfully reproduce the gap. The assistant makes bad data more visible — it does not make it good. |
// Why it matters
Operations at the speed of a question.
−68%
Investigation time
Operators get root-cause narratives in seconds — instead of clicking through five dashboards.
100%
Cited responses
Every claim links to a source record. No generic answers. No invented numbers.
3.4×
Answers / hour
Supervisors handle more questions, faster — without operators needing to learn the dashboard layout.
AR + EN
Bilingual native
Native Arabic and English — same answers, same citations, same actions on either side.
Conversational Ops turns natural language into operational action — with citations, recommendations and one-click execution.
Ask Innfini anything about your operation.
A 60-minute architecture review with our solutions team. We connect your data, your systems and your roles to a single conversational surface.