AI Tool for Collecting Stakeholder Feedback

Your AI agent reaches out to every department, gathers feedback after a system rollout, and delivers clear summaries—no more chasing emails or lost responses.

You spend hours as a business analyst digging through Outlook threads, Slack messages, and Excel sheets just to compile feedback from team leads. Tracking who responded and what issues remain open is a nightmare, especially during busy implementation cycles. Important concerns get buried, and you’re left piecing together incomplete information under tight deadlines.

An AI agent that gathers, summarizes, and tracks stakeholder feedback on new systems for business analysts in financial services.

What this replaces

Copy feedback from Outlook emails into a master Excel sheet
Track unresolved issues in a manual Teams checklist
Follow up with department heads via Slack for missing responses
Summarize concerns from scattered Word docs for management
Draft follow-up questions based on incomplete input

The hidden cost

What this is really costing you

In financial services, business analysts are often stuck pulling post-implementation feedback from dozens of stakeholders using Outlook, Teams, and shared Excel files. Each department head sends input in a different format, making it a headache to consolidate and prioritize concerns. The manual process leads to confusion, missed issues, and delays in resolving system problems. Instead of focusing on analysis, analysts are stuck in administrative busywork.

Time wasted

2 hrs/week

Every week, burned on work an AI agent handles in minutes.

Money lost

$4,700/year

In salary, missed revenue, and operational drag — annually.

If you keep ignoring it

If you keep relying on manual feedback collection, critical system issues may go unresolved, leading to failed audits or regulatory fines. Teams lose trust in the process, and system adoption stalls, putting project timelines and compliance at risk.

Cost estimates derived from U.S. Bureau of Labor Statistics occupational wage data and O*NET task analysis.

Return on investment

The math speaks for itself

Today — without agent

2 hrs/week

of manual work

$4,700/year/ year

With your AI agent

20 min/week

agent-handled

$785/year/ year

You save

$3,915/year

every year, reinvested into growing your business

Estimates based on U.S. Bureau of Labor Statistics median salary data and O*NET task importance ratings from worker surveys. Time savings assume 80% automation of eligible task components.

Jobs your agent handles

What this agent does for you

Complete jobs, handled end-to-end — so your team focuses on what matters.

Coordinating Post-Implementation Review

You ask your agent to collect feedback from all department heads after a new payroll system rollout.

Identifying Bottlenecks

You ask your agent to summarize recurring complaints from staff about a recently updated workflow.

Tracking Progress on System Fixes

You ask your agent to generate a status update on which reported issues have been addressed.

Preparing for Stakeholder Meetings

You ask your agent to draft follow-up questions for teams whose feedback was unclear or incomplete.

How to hire your agent

1

Connect your tools

Link your project management, documentation, and communication platforms used for system rollouts and feedback collection.

2

Tell your agent what you need

Type: 'Collect and summarize feedback from all team leads on the new expense reporting procedure. Highlight any recurring concerns and suggest follow-up questions.'

3

Agent gets it done

Receive a consolidated feedback report, a summary of top concerns, a list of unresolved issues, and draft follow-up questions—all ready to share with stakeholders.

You doing it vs. your agent doing it

Emailing each person, waiting for responses, and copying feedback into a document.
Agent prompts stakeholders and compiles all responses automatically.
1 hr/week
Reading through all feedback and manually creating a summary.
Agent generates a concise summary highlighting trends and concerns.
30 min/week
Maintaining a manual list and updating it after every meeting or email.
Agent creates and updates a dynamic list of open issues.
15 min/week
Reviewing feedback for gaps and drafting questions for clarification.
Agent identifies ambiguities and drafts targeted follow-ups.
15 min/week

Agent skill set

What this agent knows how to do

Gather Stakeholder Input

Pulls structured feedback from department heads via Microsoft Teams and Outlook, then compiles all responses into a single summary file.

Highlight Recurring Issues

Analyzes collected comments and flags repeated concerns or questions, presenting them in a concise summary for quick review.

Track Open Items

Maintains a live list of unresolved feedback in Google Sheets, assigning each item to the responsible manager for follow-up.

Create Status Summaries

Drafts weekly progress updates showing which issues are closed and which require action, ready to share in your next project meeting.

Draft Follow-Up Questions

Reviews ambiguous or incomplete feedback and generates targeted follow-up prompts for each stakeholder.

AI Agent FAQ

No, the agent is designed to gather input only from users within your organization who have Microsoft 365 or Google Workspace accounts. External collection is not supported.

The agent integrates with Outlook, Microsoft Teams, and Google Sheets via secure API connections. For other systems like Jira or Salesforce, you can export and import data as needed.

All feedback is encrypted in transit using TLS 1.3 and stored temporarily on secure, region-specific servers. Only authorized users with corporate credentials can access the data.

Yes, you can edit the feedback prompts and report templates to match your organization's review process. The agent supports custom question sets and summary formats.

Absolutely. The agent is purpose-built to gather, organize, and track feedback from all relevant stakeholders after a new system or procedure is launched, reducing manual effort for business analysts.

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