Mubadala
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What Noor II has been doing

Show every agent

Tasks, last 30 days
14.2k
For 1,131 people
Needed your approval
5,683
Actions only a person may sign off, last 30 days
Stopped by a rule
197
Refused before the agent saw the data, last 30 days
Open incidents
1
Raised and not yet closed

What went wrong, day by day

Last 30 days, every agent you can see

FailedStopped by a rule
01325385007-1507-2508-0408-13
Ran an approved data query and explained the resultNoor II for Claire Dubois · Web portal · 3d agoDone
Cost $0.19 · took 2.5s · model usage 25k tokens in, 3k out
Step by step
  1. 01Read the request and worked out what kind of task it was
  2. 02Found 6 possible passages, kept the 3 close enough to use
  3. 03Drafted the answer and attached where each part came from
  4. 04Checked its own claims back against those passages
Systems and records it touched
Operations RunbooksService Desk Tickets
Answered a policy question and cited the source clauseNoor II for Aisha Rahman · Web portal · 3d agoDone
Cost $0.44 · took 2.5s · model usage 63k tokens in, 5k out
Step by step
  1. 01Read the request and worked out what kind of task it was
  2. 02Found 6 possible passages, kept the 3 close enough to use
  3. 03Drafted the answer and attached where each part came from
  4. 04Checked its own claims back against those passages
Systems and records it touched
Knowledge SearchResolve TicketOperations Runbooks
Reviewed a contract against the clause playbookNoor II for Ibrahim Al-Sayed · Web portal · 5d agoDone
Cost $0.25 · took 3.4s · model usage 38k tokens in, 2k out
Step by step
  1. 01Read the request and worked out what kind of task it was
  2. 02Found 6 possible passages, kept the 3 close enough to use
  3. 03Drafted the answer and attached where each part came from
  4. 04Checked its own claims back against those passages
Systems and records it touched
Create TicketResolve TicketOperations Runbooks
Summarised a 34-page document into a one-page briefNoor II for Michael Chen · Teams · 6d agoDone
Cost $0.20 · took 1.8s · model usage 25k tokens in, 3k out
Step by step
  1. 01Read the request and worked out what kind of task it was
  2. 02Found 6 possible passages, kept the 3 close enough to use
  3. 03Drafted the answer and attached where each part came from
  4. 04Checked its own claims back against those passages
Systems and records it touched
Create TicketKnowledge SearchResolve Ticket