Skip to main content
Opportunities is your ranked backlog of AI automation opportunities, built automatically from what Work Explorer sees. Every AI automation opportunity traces back to real observed work, so you can open any of them and inspect the steps, apps, and people behind the number. Open app.usefluency.com → Opportunities.

​
How AI automation opportunities get created

You don’t need to nominate candidates. Fluency does it for you.
1

Observe

The Desktop Agent captures activity and Work Explorer maps it into processes, activities, and steps.
2

Analyze

Fluency scores each candidate on value and feasibility, and only promotes the AI automation opportunities that clear the bar.
3

Refresh

Analysis is incremental. If a procedure hasn’t changed, its AI automation opportunity is carried forward with a last-analyzed timestamp in the footer.
Want the full scoring model behind value, feasibility, quadrants, and gates? Reach out to support@usefluency.com and we’ll walk you through it.

​
The Opportunities list

The page opens with a Value × Feasibility matrix, and the same AI automation opportunities as cards or rows underneath.

​
Key figures

Headline metrics on the Opportunities page

Headline KPIs at the top of Opportunities: cost savings, time savings, salary average, and automatability across the visible backlog.

Four organization-level numbers summarize the backlog.

​
Value × Feasibility matrix

Value by Feasibility matrix with AI automation opportunities in Quick Wins, Prime Movers, Strategic Bets, and Later quadrants

Value × Feasibility matrix: each dot is one AI automation opportunity, plotted by impact and how readily Fluency can deliver.

Each dot is one AI automation opportunity. Value is impact, Feasibility is how readily Fluency can deliver. For a walkthrough of how each dot lands in a quadrant, contact support@usefluency.com.

​
Cards vs rows

Toggle between Cards and Rows. You can sort (including by cost savings), filter by team badges (which shows the numbers aggregated by AI automation opportunities and specific steps touched only by that team), and search by name. Rows show rank, quadrant, automatable percentage, annual impact, hours per year, feasibility score, and a steps judged bar showing how many steps have an assessment.

​
Opening an AI automation opportunity

Click any AI automation opportunity to open its detail page. You can get there from the matrix or from the list below it. The header has a short narrative summary, team badges (with each team’s share of the work), and a View process link back to Work Explorer.

​
Opportunity analysis

Headline metrics for this AI automation opportunity: cost savings, time savings, salary average used in the model, and automatability.
Opportunity analysis panel with headline metrics for a single AI automation opportunity

Opportunity analysis: cost savings, time savings, salary average, and automatability for this single AI automation opportunity.

Company-wide extrapolation lets you edit How many people do this work? Fluency starts from the observed headcount and scales the projection. Changing the number doesn’t rewrite observed executions, it only scales the estimat
Company-wide extrapolation control with an editable headcount field

Company-wide extrapolation: edit the headcount doing this work to scale the projection without changing observed executions.

​
Activity workflow: Current, Changes, Proposed

Under Activity workflow, three tabs let you compare states. Each tab supports Systems or Graph view, plus Show variants.
Activity workflow Current tab showing the process as observed today

Current: the workflow as it runs today, straight from Work Explorer.

The workflow as it runs today, straight from Work Explorer.

​
Step assessment and human checkpoints

Step assessment panel with judged and contested step counts, and a human checkpoints list

Step assessment and human checkpoints: how many steps have been judged, how many are contested, and which conditions still need a person.

The step assessment panel shows how many steps have been judged and how many are contested. Human checkpoints lists the conditions that still need a person, such as approval, policy, or verification. These are often the sensitive parts of a workflow, like anything involving monetary sums or complex decision making.

​
Prioritization panel

Prioritization panel with Value, Feasibility, Complexity, Integration gap, and Risk scores

Prioritization: Value, Feasibility, Complexity, Integration gap, and Risk scores with a short rationale, plus opportunity ID and last-analyzed date.

The Prioritization block flags if Fluency already has a similar AI automation pattern in production, and shows scores for Value, Feasibility, Complexity, Integration gap, and Risk, with a short rationale. The footer repeats the opportunity ID and last-analyzed date. Need the full scoring model? Contact support@usefluency.com.

​
Committing an AI automation opportunity

Committing an AI automation opportunity is how work moves into Initiatives for delivery.

​
Why it matters

  • One prioritized backlog of AI automation opportunities, grounded in real observed work instead of guesses or interviews.
  • Every number ties back to steps and executions you can open and inspect.
  • Value and feasibility are scored the same way for every AI automation opportunity, so leaders can compare apples to apples.

Work Explorer

See how work actually runs, straight from what the Agent observes.

Initiatives

Track committed AI automation opportunities through delivery.

Teams

Set up the teams used for filtering across the product.

Rates

The loaded rates used to price time savings.