> ## Documentation Index
> Fetch the complete documentation index at: https://docs.usefluency.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Opportunities: Identify and Prioritize AI Automation
> Rank workflows by automation potential, project hours saved and financial impact, and build board-ready justification before committing to an initiative.
The Opportunities module takes the workflow data discovered by Work Explorer and applies AI analysis to surface the processes most ready for automation or redesign. Every opportunity includes the evidence you need to make a confident decision — and share it with your board.
## How opportunities are generated
Fluency analyzes the full execution history of every discovered workflow — run counts, cycle times, rework rates, and deviation patterns — and scores each one for automation potential. Scores reflect not just how often a process runs, but how much unnecessary friction it contains and how much of that friction is addressable by automation.
Scores update continuously as new execution data arrives. A workflow that becomes more error-prone over time will rise in the rankings without any manual intervention. You're always working from the most current picture of your operations.
## The Opportunities dashboard
The Opportunities dashboard presents a ranked table of every automation candidate Fluency has identified. Each row includes:
| Column | Description |
| ----------------------- | -------------------------------------------------------------------------- |
| **Opportunity name** | The workflow or process identified as a candidate |
| **Automation type** | The category of automation best suited to this process |
| **Confidence score** | Fluency's confidence (0–100%) that this process is a strong automation fit |
| **Time saved** | Projected hours saved per month if the automation is deployed |
| **Recommended systems** | The tools and platforms the automation would interact with |
Click any row to open the full opportunity detail view.
## Automation types
Fluency classifies each opportunity by the type of automation it recommends. Understanding the differences helps you set the right expectations before you commit.
An AI agent that handles the full workflow end-to-end with minimal human oversight. Agentic automations are appropriate for complex, multi-step processes where judgment is required at each stage. The agent reads context, makes decisions, and completes the workflow autonomously — surfacing only genuine edge cases for human review.
A structured multi-step automation with defined triggers and actions. Workflow automations follow a deterministic path: when X happens, do Y, then Z. They're best suited to processes with consistent inputs and predictable branching logic.
A redesign recommendation that streamlines steps without full automation. Process opportunities highlight where manual steps can be eliminated, consolidated, or reordered to reduce cycle time — even before any technology is deployed.
A direct system-to-system integration that eliminates manual data transfer. API opportunities appear when Fluency detects that a human is routinely copying, exporting, or re-entering data between two systems that could communicate directly.
Robotic process automation for repetitive, UI-based tasks. RPA opportunities are flagged when a process involves structured, predictable interactions with a user interface — such as form entry, report generation, or data extraction — that don't require judgment.
## Reading an opportunity
Opening an opportunity gives you everything you need to evaluate and justify it. The detail view includes:
* **Workflow map with proposed agent steps** — Fluency overlays the original discovered workflow with the proposed automated path, so you can see exactly which steps the agent would own
* **Projected outcomes per step** — each automated step shows its expected output and the time it saves relative to the manual baseline
* **Total cycle-level impact** — the projected reduction in end-to-end cycle time across all affected runs
* **Required systems and integrations** — every tool the automation needs to access, drawn from the execution data Fluency has already observed
* **Estimated hours saved per month** — calculated from run frequency, current cycle time, and projected automation efficiency
* **Estimated financial savings** — derived from hours saved, using the labor cost inputs your administrator has configured
## From opportunity to initiative
When you're ready to act on an opportunity, click **Commit** in the opportunity detail view. Fluency converts the opportunity into an Initiative — a configured, deployable AI agent pre-loaded with the workflow map, step-level instructions, and projected outcomes. You can review and adjust the agent's configuration before you deploy it.
Committing to an opportunity does not deploy the agent immediately. You retain full control over the review and deployment steps inside Initiatives.
Start with high-confidence (>85%) agentic opportunities for the fastest wins. These represent processes where Fluency has strong execution evidence and where an autonomous agent can operate with minimal human oversight from day one. Cross-reference with your team's strategic priorities to ensure the right work gets automated first.
## Next steps
Learn how committed opportunities become deployed AI agents — and how to monitor, manage, and update them after they go live.
Walk through the process of evaluating your first opportunity, building the business case, and preparing for stakeholder sign-off.