01
The full spread of research
See 11 subject areas covering tax, law and accounting. A team working on employment or data protection gets a place in the picture alongside tax and corporate matters.
Competence Center · Enterprise
Understand how your team works with azta.
See which topics your team researches, the questions they bring and how they work with AI. Use those patterns to guide practical training and support.
Explore an example
A view of your team’s research
Illustrative data. No customer records.
Average per member
- Questions
- 46
- Research threads
- 19
- Active days
- 12
- Topics researched
- 11
Research across disciplines
Select a topic to explore its question complexity and AI-use patterns.
Inside the selected topic
Average per member
Corporate law, Team overview, 30 days
Question complexity
- L1Fact recallTeam overview: 19%
- L2Case applicationTeam overview: 32%
- L3Combining rulesTeam overview: 33%
- L4Structural reasoningTeam overview: 10%
- L5Edge-case interpretationTeam overview: 6%
How AI is used
- M1LookupTeam overview: 23%
- M2VerificationTeam overview: 28%
- M3DelegationTeam overview: 28%
- M4Co-thinkingTeam overview: 13%
- M5Joint explorationTeam overview: 8%
Explore all 11 research areas, including tax, corporate and civil law, employment, data protection and accounting. Select a topic to see the question complexity and AI-use patterns within it.
Illustrative data. No customer records.
Questions within the selected profile and period. Team figures are averages per member.
Illustrative profiles and team averages. Change the person, period or topic to explore how the patterns differ.
Look beyond the number of questions.
01
The subjects on the team’s desk
See how the work spans tax, corporate transactions, employment and other legal questions. Use the topic mix to choose relevant examples for a team discussion.
02
The shape of the questions
Distinguish requests for a fact from questions that combine conditions, cross subject areas or explore conflicting rules.
03
How the work develops
Explore whether conversations focus on lookup, checking a proposed answer, drafting a deliverable or working through an idea.
Get closer to the work behind the numbers.
Explore the subjects, question structures and working habits that shape your team’s use of azta. Each view gives you a different starting point for a useful conversation.
02
Tax, down to the detail
Expand tax categories into subtopics to see what sits behind a broad heading. Choose workshop examples that match the questions your advisers actually bring.
03
Five levels of question complexity
Distinguish a request for a fact from applying a rule, combining provisions, structural reasoning or interpreting an edge case. Discuss how people frame their research.
04
Five ways of working with AI
Explore lookup, verification, delegation, co-thinking and joint exploration. See which ways of using azta your team has tried and which might be worth demonstrating.
05
Profiles with context
Open an individual view, compare it with the team average or put two profiles side by side. Use differences to ask about roles and assignments before choosing support.
06
Activity over a useful period
Choose 30, 60 or 90 days and review questions, research threads, active days and topic breadth. Bring the available activity history into your next rollout discussion.
TaxationCorporate lawAccountingLabour lawCivil lawCompetition lawIntellectual propertyData protectionEconomic criminal lawRegulationOther topics
A starting point for a conversation with your team.
Plan a useful training session
Start with the subjects people already research. Choose a familiar example, demonstrate a workflow and let the team discuss when it would help.
Understand different ways of working
Compare an individual profile with the team, or view two profiles side by side. Ask about the work behind the pattern before deciding what support someone needs.
From a pattern to a practical next step.
- 01
Start with the work
Select a team and period. Look at the subjects they research, then explore the complexity of their questions and how they use AI.
- 02
Ask what sits behind it
Discuss the view with the people doing the work. Their roles, current assignments and experience with azta give the figures context.
- 03
Choose something worth practising
Pick a relevant question for a workshop or coaching session. Demonstrate a useful approach and ask the team where it could fit into their own work.
A team view, within your remit.
Authorised supervisors can explore the people and teams they oversee. Organisation and team permissions define whose profiles they can open. Individual comparisons and team averages provide context for a discussion.
What the figures tell you.
Does this measure professional competence?
It describes observed use of azta: topics, question structure and conversation patterns. It is not a skills test, an accuracy score or a measure of work outside azta.
How current are the views?
Analytics are processed in batches. The 30-, 60- and 90-day views depend on the classified history available, so recent activity or older records may not all appear.
Does it prescribe training or assess performance?
No. The views give supervisors material to discuss with their teams. You decide what a pattern means in the context of someone’s role and work. Classifications are estimates and can be wrong.
Bring your team’s questions.
Book an Enterprise demo to see the views, comparisons and access controls with us.