What you can ask the Assistant
The Assistant handles everything from quick lookups to multi-dimensional analysis. Here are examples of questions you can ask today:- “Which workflows have the highest rework rate in the Finance team?”
- “How many hours did we save with the Invoice Processing initiative last month?”
- “Show me all processes that touch ServiceNow and have a cycle time over 3 days.”
- “What’s the ROI on automations deployed in Q1?”
- “Which teams have the most deviation from standard workflows?”
- “Compare cycle times for the Procurement workflow across the last four quarters.”
- “What are the top five bottlenecks by total time lost this month?”
How the Assistant works
Every query you send runs against Fluency’s full workflow data index — the complete record of all discovered processes, initiative run histories, execution metrics, and automation outcomes. The Assistant doesn’t retrieve pre-built reports; it queries live data and constructs its answer from what’s actually there. Every answer includes references back to the specific workflow runs, steps, or initiatives that support it. You can verify any claim the Assistant makes by clicking through to the source data. Nothing in the Assistant’s output is generated without grounding in real execution evidence.In-depth analysis
The Assistant isn’t limited to single-workflow lookups. You can ask questions that span multiple workflows, teams, or time periods simultaneously, and the Assistant synthesizes the findings into a coherent narrative. For example, you might ask: “Across all initiatives deployed in the last six months, which automation type delivered the fastest payback period, and which teams were most affected?” The Assistant pulls initiative data across the full deployment history, calculates payback by automation type, maps that to owning teams, and returns a structured summary — all in one response. This makes the Assistant especially useful before transformation reviews, when you need a complete picture assembled quickly from sources that would otherwise require manual cross-referencing.Export-ready outputs
When the Assistant returns findings, it formats them as structured summaries suited for immediate reuse. Depending on the nature of your query, the output may include tables, ranked bullet lists, trend narratives, or a combination of all three. To export an answer, click the Export button beneath any Assistant response. Fluency downloads the output as a formatted document, ready to paste into a slide deck, share in a stakeholder meeting, or attach to a project proposal. No reformatting required.Use cases
Presentation preparation
Synthesize ROI data and execution metrics into board-ready summaries. Ask the Assistant to compile initiative impact across a quarter and export the result directly into your next leadership review.
Bottleneck analysis
Identify the highest-impact bottlenecks across teams and processes without building a single report. Ask which steps are costing the most time organization-wide and get a ranked answer in seconds.
Transformation roadmapping
Plan your AI rollout roadmap backed by real execution evidence. Ask the Assistant to surface the highest-value, highest-confidence opportunities across departments and use the output to sequence your initiatives.
Performance reviews
Compare team and workflow performance across time periods to understand where progress is accelerating and where attention is needed. Use execution data — not anecdote — to anchor the conversation.