Find where AI pays off. Before you spend a dollar.
Identify repetitive work, automation candidates, wasted hours, recoverable value, and safe AI pilot opportunities grounded in what your employees actually do.
Most AI transformation initiatives start with technology. ClearTeam starts with your people: who does what manually, how often, how long it takes, and which processes are actually ready to automate.
What it solves
The questions leaders can't answer without it
Nobody knows which manual work is worth automating first
Leaders have a list of automation ideas. Employees have the truth about which processes are actually repetitive, manual, and ready. ClearTeam bridges that gap with structured AI interviews at scale.
Hundreds of hours wasted that no report is counting
Manual data gathering, copy-paste between tools, report generation, approval follow-ups, each feels small. Together they represent a significant fraction of your payroll. ClearTeam makes them visible.
AI pilots chosen for the wrong reasons
The loudest voice in the room wins the first pilot. ClearTeam scores each automation candidate on 9 readiness factors, data availability, owner clarity, rule-based repeatability, so pilots succeed.
Tool friction no-one is escalating
Systems that don't talk to each other. Exports that get re-entered manually. Approvals that require three emails. ClearTeam finds the highest-friction integration points before your engineers have to guess.
Typical outcomes
What leadership gets at the end
3–5
Prioritized automation candidates
Each with a full business case and AI-readiness scorecard
20–60h
Directional monthly time saving per case
Based on interview signals; clearly labeled as estimates
9-factor
Readiness scorecard per opportunity
Process clarity, data availability, owner clarity, risk, and more
How it works
From launch to board-ready insight in 72 hours
Define the automation scope
Focus on a specific department, a process area, or run a company-wide scan. ClearTeam generates the right question plan automatically from your objective.
AI interviews the people closest to the work
Not managers: the people doing the work. Each participant describes their most repetitive tasks, the tools they use, and where they lose the most time.
ClearTeam clusters and scores the signals
Responses are semantically grouped into automation cases. Each case gets a full readiness scorecard: what data exists, who owns it, how complex the integration would be.
Receive a prioritized automation roadmap
The report tells you exactly which 3–5 cases to pilot first, with estimated value, recommended owner, first pilot step, and a 30/60/90-day implementation plan.
Sample findings
The kind of answers you'll get
- Sales coordinators spend an average of 8–12 hours per week manually updating CRM fields after calls, a candidate for AI-assisted CRM enrichment with high readiness (82/100).
- Invoice processing in Finance involves manual data entry from 3 separate systems. Rule-based repeatability is high; data availability is the only readiness drag (current score: 58/100).
- Customer onboarding status is tracked in 4 different places (Notion, HubSpot, Jira, Slack) with no single owner, a data unification case worth ~30 hours/month.
- Monthly reporting in Operations is assembled manually from 6 Excel files. Process clarity is high; implementation effort is medium. Estimated value: 15–25 hours/month.
- Support ticket triage is currently done by reading and categorizing manually, high rule-based repeatability and existing data makes this a strong AI pilot candidate.
All findings are based on aggregated responses. We analyze work, not workers.
Privacy-first by design
We analyze work, not workers.
ClearTeam never scores individuals, infers emotions, or stores raw transcripts by default. Every report is built on aggregated, anonymized signals (EU AI Act compliant, GDPR-ready).
Ready to run your first diagnostic?
Set up a diagnostic, select participants, and get a board-ready report in under 10 minutes of your time.
Discover your automation opportunities