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business automation opportunity finder
Systematically scores and ranks business processes to create a defensible, risk-aware automation roadmap.
$5
Works with the AI Agents you already use
business automation opportunity finder
Example session with this skill installed
I have three processes
- Monthly expense reconciliation (20 hrs, manual data entry, frequent errors).
- Daily customer password resets (5 mins, 50x daily).
- New hire hardware provisioning.
- Read your context and instructions
- Compiled the business automation opportunity
I have analyzed your candidate processes. I applied weighted scoring based on repetitiveness, volume, friction, impact, complexity, dependencies, risk, and tool fit.
Automation Opportunity Analysis
| Process | Weighted Score | Classification | Primary Rationale |
|---|---|---|---|
| Daily Password Resets | 4.25 | Quick Win | High volume, rule-based, low risk, and high tool fit for automated reset flows. |
| Monthly Expense Recon | 3.80 | Strategic Initiative | High impact and friction, but complexity is high due to multi-system data entry. |
| Hardware Provisioning | 2.10 | Incremental Fix | Lower frequency and high dependency on physical supply chain logistics. |
Implementation Roadmap
| Phase | Process | Duration | Owner | Gating Criteria | Success Metrics |
|---|---|---|---|---|---|
| Phase 1 | Password Reset Automation | 2 Weeks | IT Support Lead | Auth API access confirmed. | >90% reduction in manual reset tickets. |
| Phase 2 (Pilot) | Expense Recon Pilot | 4 Weeks | Finance Manager | Read-only access to ERP provided. | Error rate < 1% on first 50 entries. |
| Phase 3 (Expand) | Expense Recon Full | 8 Weeks | Finance Manager | Phase 2 success metrics met. | 80% reduction in manual reconciliation time. |
Strategic Initiative Controls: Expense Reconciliation
- Gating: Successful audit of the last 3 months of manual errors to define edge cases.
- Rollback: Maintain parallel manual entry for the first two cycles; kill switch reverts to manual CSV upload.
- Metrics: 0% data loss; reduction in "days to close" from 5 days to 2 days.
Next steps
- Review the weighted scores and confirm if Business Impact (20%) matches your current priorities.
- Verify API availability for the Password Reset tool to move into Phase 1.
- Schedule a process walkthrough for the Expense Reconciliation logic to map exception handling.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Stakesholders often request automation based on gut feel rather than ROI. This leads to wasting engineering resources on high-complexity, low-impact tasks while missing easy wins that could save hundreds of hours.
What it does
- Maps business processes across eight dimensions including volume, friction, and business impact.
- Applies a weighted scoring rubric to calculate objective automation potential for each candidate.
- Categorizes tasks into Quick Wins, Strategic Initiatives, Incremental Fixes, or Deferrals.
- Generates a phased implementation roadmap with specific gating criteria, success metrics, and rollback plans.
Why this beats prompting it yourself
General LLM prompts often overlook hidden risks like downstream dependencies or tool-fit uncertainty. This skill uses a strict scoring rubric and inverse-weighting for complexity and risk, ensuring you don't accidentally prioritize a "simple" task that actually threatens regulatory compliance or customer stability.
Use cases
- Prioritizing an automation backlog for an operations or transformation team.
- Auditing manual workflows in finance, HR, or customer support to find high-ROI targets.
- Presenting a defensible implementation plan to stakeholders for budget approval.
- Designing a multi-phase pilot program for high-risk, high-impact business processes.
Known limitations
This tool does not write code, configure APIs, or deploy automations. It requires an initial list of process data (frequency, time, and pain points) to be effective.
Does not write or deploy code. Requires manual input of process volume, time per run, and friction signals. Effectiveness depends on the accuracy of stakeholder-provided data.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
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- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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