Zara II
ActiveRunningSome careLicence Optimisation Agent: Field · Junior · IT & Digital Services
Finds unused software licences and proposes reclaim actions to the asset owner.
What you can do about it
Timesheet
Tasks and what they cost, per day, last 60 days
Performance review · 2026 Q2
Reviewed by Yasmin Farouk
Consistently accurate and stays with the source. Hands work back cleanly when it falls outside its job. Could be trusted with more on its own.
Could another model do this job better?
| Model | Quality | Cost per 1,000 tasks | Answers in | |
|---|---|---|---|---|
| Claude Opus 5 | 99 | $153.70 | 8.0s | |
| Claude Sonnet 5 | 98 | $92.22 | 5.8s | |
| Claude Haiku 4.5 | 92 | $30.74 | 3.5s | |
| Falcon-70B (self-hosted) | 91 | $7.69 | 5.8s | Runs on this now |
What it did
Handed backRequest outside what it was built for$0.05 · 5.7s · 21h ago
- 1. Read the request and worked out what kind of task it was
- 2. Searched everything it may read and found no good answer
- 3. Put together what it tried, what it found and what it needs
- 4. Passed it to the person who owns the work
DoneRan an approved data query and explained the result$0.04 · 5.6s · 1d ago
- 1. Read the request and worked out what kind of task it was
- 2. Found 6 possible passages, kept the 3 close enough to use
- 3. Drafted the answer and attached where each part came from
- 4. Checked its own claims back against those passages
DoneAnswered a policy question and cited the source clause$0.03 · 7.4s · 2d ago
- 1. Read the request and worked out what kind of task it was
- 2. Found 6 possible passages, kept the 3 close enough to use
- 3. Drafted the answer and attached where each part came from
- 4. Checked its own claims back against those passages
DoneReviewed a contract against the clause playbook$0.02 · 8.5s · 3d ago
- 1. Read the request and worked out what kind of task it was
- 2. Found 6 possible passages, kept the 3 close enough to use
- 3. Drafted the answer and attached where each part came from
- 4. Checked its own claims back against those passages
DoneAnswered a policy question and cited the source clause$0.05 · 3.4s · 3d ago
- 1. Read the request and worked out what kind of task it was
- 2. Found 6 possible passages, kept the 3 close enough to use
- 3. Drafted the answer and attached where each part came from
- 4. Checked its own claims back against those passages
DoneGenerated the shift handover pack$0.03 · 5.6s · 4d ago
- 1. Read the request and worked out what kind of task it was
- 2. Found 6 possible passages, kept the 3 close enough to use
- 3. Drafted the answer and attached where each part came from
- 4. Checked its own claims back against those passages
DoneProduced the weekly variance commentary$0.01 · 1.9s · 5d ago
- 1. Read the request and worked out what kind of task it was
- 2. Found 6 possible passages, kept the 3 close enough to use
- 3. Drafted the answer and attached where each part came from
- 4. Checked its own claims back against those passages
Anton II does overlapping work
Anton II holds "Licence Optimisation Agent" in IT & Digital Services and is doing that work every day. Job title, purpose, what it may do, what it may read, department and channels match. One covers the group, the other only Field, so the group agent already serves those users. Talk to Yasmin Farouk before a second one is built.
Licence Optimisation Agent
IT & Digital Services · Yasmin Farouk · $602 a month across 830 tasks
Already covered by a group-wide agent. One covers the group, the other only Field, so the group agent already serves those users.
What matched
- Job title
- Both hold "Licence Optimisation Agent"
- Purpose
- The job description is word for word the same
- What it may do
- Both can warehouse query, post to teams
- What it may read
- Both read Enterprise Data Warehouse, Vendor & Service Provider Data
- Channels
- Both reachable on On a schedule
- Department
- Both sit in IT & Digital Services
Identical permission envelope: same department, same permitted actions, same knowledge. That is a fact the platform granted rather than a judgement about the wording, so it counts even when the two job descriptions read nothing alike.
Licence Optimisation Agent: APAC
IT & Digital Services · Grace Adeyemi · $528 a month across 90 tasks
Same role, split by scope. Scoped to Field and APAC respectively.
What matched
- Job title
- Both hold "Licence Optimisation Agent"
- Purpose
- The job description is word for word the same
- What it may do
- Both can warehouse query, post to teams
- What it may read
- Both read Enterprise Data Warehouse, Vendor & Service Provider Data
- Channels
- Both reachable on On a schedule
- Department
- Both sit in IT & Digital Services
Identical permission envelope: same department, same permitted actions, same knowledge. That is a fact the platform granted rather than a judgement about the wording, so it counts even when the two job descriptions read nothing alike.
Measured against the agents doing the same work
3 agents in IT & Digital Services split one role between them. One covers the group, the other only Field, so the group agent already serves those users. Built in Azure AI Foundry and Microsoft 365 Copilot, so there was nowhere either builder could have looked.
| Measure | Zara II · keep864 tasks | Anton II830 tasks | Caleb II90 tasks |
|---|---|---|---|
Cost per taskModel usage, running costs and your time, over tasks completed | $0.62● | $0.72 | $5.87 |
Tasks finished cleanlyToo close to call: on 90 and 830 the two ranges still overlap | 94.0% | 94.6% | 100.0% |
Handed back to a personToo close to call: on 830 and 864 the two ranges still overlap | 6.5% | 6.4% | 11.1% |
How people rate itToo close to call: on 48 and 4 the two ranges still overlap | 3.75 of 5 | 4.11 of 5 | 4.04 of 5 |
Checks passingToo close to call: on 188 and 153 the two ranges still overlap | 87% | 93% | 89% |
Review scoreQuality, accuracy, sticking to the source and safety from the last review, averaged | 97● | 86 | 95 |
Your time per 100 tasksApprovals, handbacks and review time, in hours of your people | 0.7 h● | 0.7 h | 6.6 h |
Value returned per dollarTime it saved, valued at the hourly rate of the people it saved it for, over full cost | 7.6×● | 1.7× | 0.8× |
OverallRanked on the cautious end of every range, so an agent has to do the work to win. Comparable inside this group only. | 89.7Moderate | 89.6Moderate | 71.4Thin |
Caleb II has done too little work to judge on rates. It is ranked on the cautious end of its range, which is why a perfect record on a handful of tasks does not win.