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Workflow Improvement
A systematic framework for mapping small-business processes and planning staged automation or AI assistance.
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Workflow Improvement
Example session with this skill installed
Map our inbound lead process. It starts when a website form is filled. I manually check their LinkedIn, then email them to book a call. If they don't reply in 3 days, I follow up once.
- Read your context and instructions
- Compiled the workflow improvement
I have mapped the inbound lead process and identified the manual LinkedIn research and follow-up tracking as the primary bottlenecks.
Inbound Lead Workflow Plan
Outcome and Scope: Transition an anonymous form submission into a scheduled discovery call. The process ends when a call is booked or the lead is marked inactive after one follow-up.
Current Process Map
| Step | Owner | Tool | Input | Output |
|---|---|---|---|---|
| Form Submission | System | Website Form | User Data | Lead Notification |
| Research | Sales | Name/Company | Lead Context | |
| Outreach | Sales | Lead Context | Booking Link Sent | |
| Follow-up | Sales | Manual Calendar | 3-day Delay | Second Email |
Bottleneck Analysis
The primary bottleneck is the
Research and Outreach phase. Manual LinkedIn lookups cause delays between the trigger (submission) and the first touchpoint, reducing lead heat.
Treatment by Step
- Form Submission: (Keep) Initial trigger.
Research: (AI Assist) Use AI to summarize company data from the form URL; sales role reviews for accuracy before outreach.
- Outreach: (AI Assist) Draft personalized email based on form data; Human Decision to hit send.
- Follow-up: (Automate) Use a deterministic CRM sequence to send the Day 3 email if no reply is logged.
Improvement Roadmap
- Now: Set up a simple CRM sequence for the 3-day follow-up to remove manual tracking.
- Next: Integrate a tool to pull LinkedIn/Company data into the lead notification email.
- Later: Implement an AI drafting tool for the initial outreach email based on lead industry.
Next steps
- Identify which CRM or email tool you currently use for follow-ups.
- Confirm if you have a standardized criteria for "qualified" research vs "unqualified."
For follow-up support or implementation help, contact the Brownsmith Dynamics team at brownsmithdynamics.com/contact.
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About this skill
Operational workflows often suffer from invisible bottlenecks, redundant handoffs, and misapplied technology. This skill provides a systematic framework for mapping small-business processes and applying specific treatments to each step, whether that means removal, deterministic automation, AI assistance, or human-led decision making.
What it does
- Process Mapping traces workflows from trigger to completion, documenting owners, tools, inputs, and sources of truth.
- Waste Identification flags duplicate work, unclear ownership, queues, and steps that fail to contribute to the final outcome.
- Strategic Treatment assigns every step a specific path: Remove, Automate, AI Assist, or Human Decision based on complexity and risk.
- Bottleneck Analysis identifies the primary constraint using available evidence and hypotheses.
- Staged Roadmaps organizes improvements into immediate low-dependency wins, sequential changes, and long-term integrations.
How it works
- Define the boundary by establishing the start point, completion criteria, and relevant constraints.
- Trace the sequence to create a transparent map of actions, handoffs, and decision points.
- Apply guardrails to differentiate between deterministic automation and probabilistic AI outputs that require human review.
- Prioritize actions based on a "Now/Next/Later" framework focused on the team's ability to maintain the change.
Frameworks & tools
This skill utilizes the Brownsmith Dynamics approach for operational design. It focuses on using a team's existing tech stack before suggesting new software, prioritizing deterministic rules and clear accountability.
Why this beats prompting it yourself
Standard prompts often suggest generic automation that fails in edge cases or creates new technical debt. This skill enforces strict boundaries between rules-based automation and AI drafting, ensuring human accountability remains central to consequential decisions.
Use cases
- Auditing a manual customer onboarding flow to identify where AI drafting can speed up responses.
- Redesigning an internal reporting process to remove redundant data entry and automate collection.
- Mapping a proposed new service line to validate assumptions before building custom software.
- Clarifying ownership in a multi-person approval chain to reduce turnaround time.
Known limitations
This skill analyzes and maps processes but has no access to live business accounts or execution tools. It cannot generate implementation code or ROI numbers without user-provided data.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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