AI-Powered Departmental Workflow Creation
Budget: $8 – $15 USD
Project Brief: AI Agencies for Grants, Sales, and Contracting (AWW Logistics Inc.)
1. Project overview
AWW Logistics Inc. is building an internal AI-powered “agency of agencies” to support three core departments: **Grants**, **Sales**, and **Contracting**. The freelancer will act as a contractor to design and implement a first working version of these three mini-agencies, each made up of specialized AI agents and workflows.
***
## 2. Objectives
- Translate our existing Operation Stellar Core concepts into concrete agents and workflows for:
- Grants Department: grant discovery, eligibility checks, proposal drafting, application tracking.
- Sales Department: lead research, outreach content, follow-up, and light CRM updates via Monday.com
- Contracting Department: government opportunity scanning (SAM.gov, etc.), compliance checks, and draft responses.
- Produce reusable prompts, workflow maps, and a minimal working implementation that can later be deployed on AgentLab or similar platforms.
3. Scope of work
The contractor will:
1. Design agent catalog (per department)
- Define 3–5 agents per department (role, inputs, outputs, success criteria).
- Examples:
- Grants: Opportunity Scout, Eligibility Analyst, Proposal Drafter, Application Tracker.
- Sales: ICP & Offer Designer, Lead Researcher, Outreach & Follow-up Agent.
- Contracting: Gov Opportunity Scanner, Fit & Compliance Checker, Bid/Proposal Drafter.
2. Create prompts and workflows
- Write system prompts and example conversations for each agent.
- Map workflows from “new opportunity/lead appears” to “submitted proposal / scheduled call / bid decision”, using simple flow diagrams.
3. Build a minimal working MVP
- Implement at least one end-to-end workflow for each department using either:
- a low-code open-source tool or
- lightweight Python scripts calling an LLM API.
- Use synthetic or anonymized sample data (we will provide examples).
4. Document and hand off
- Provide a brief README covering: how to trigger each workflow, where prompts are stored, and how to extend/modify them.
- List assumptions, limitations, and recommended next steps (e.g., integration with email, CRM, SAM.gov APIs, Grants.gov search).
4. Deliverables
- Agent catalog document for Grants, Sales, and Contracting (PDF, Notion, or Google Doc).
- Prompt library (clearly separated by department and agent).
- Workflow diagrams for each department (image, Mermaid, or link to diagram tool).
- Working demo for 3 MVP flows (one per department) with instructions to run.
- Final handoff document summarizing architecture and future improvements.[7][8][4]
5. Requirements and logistics
- Required skills:
- Experience with LLM-based agents and prompt engineering.
- Familiarity with government grants or government contracting is a plus.
- Comfortable with low-code automation tools or Python.
1. Project overview
AWW Logistics Inc. is building an internal AI-powered “agency of agencies” to support three core departments: **Grants**, **Sales**, and **Contracting**. The freelancer will act as a contractor to design and implement a first working version of these three mini-agencies, each made up of specialized AI agents and workflows.
***
## 2. Objectives
- Translate our existing Operation Stellar Core concepts into concrete agents and workflows for:
- Grants Department: grant discovery, eligibility checks, proposal drafting, application tracking.
- Sales Department: lead research, outreach content, follow-up, and light CRM updates via Monday.com
- Contracting Department: government opportunity scanning (SAM.gov, etc.), compliance checks, and draft responses.
- Produce reusable prompts, workflow maps, and a minimal working implementation that can later be deployed on AgentLab or similar platforms.
3. Scope of work
The contractor will:
1. Design agent catalog (per department)
- Define 3–5 agents per department (role, inputs, outputs, success criteria).
- Examples:
- Grants: Opportunity Scout, Eligibility Analyst, Proposal Drafter, Application Tracker.
- Sales: ICP & Offer Designer, Lead Researcher, Outreach & Follow-up Agent.
- Contracting: Gov Opportunity Scanner, Fit & Compliance Checker, Bid/Proposal Drafter.
2. Create prompts and workflows
- Write system prompts and example conversations for each agent.
- Map workflows from “new opportunity/lead appears” to “submitted proposal / scheduled call / bid decision”, using simple flow diagrams.
3. Build a minimal working MVP
- Implement at least one end-to-end workflow for each department using either:
- a low-code open-source tool or
- lightweight Python scripts calling an LLM API.
- Use synthetic or anonymized sample data (we will provide examples).
4. Document and hand off
- Provide a brief README covering: how to trigger each workflow, where prompts are stored, and how to extend/modify them.
- List assumptions, limitations, and recommended next steps (e.g., integration with email, CRM, SAM.gov APIs, Grants.gov search).
4. Deliverables
- Agent catalog document for Grants, Sales, and Contracting (PDF, Notion, or Google Doc).
- Prompt library (clearly separated by department and agent).
- Workflow diagrams for each department (image, Mermaid, or link to diagram tool).
- Working demo for 3 MVP flows (one per department) with instructions to run.
- Final handoff document summarizing architecture and future improvements.[7][8][4]
5. Requirements and logistics
- Required skills:
- Experience with LLM-based agents and prompt engineering.
- Familiarity with government grants or government contracting is a plus.
- Comfortable with low-code automation tools or Python.
Related categories:
PHP
Python
UML Design
Software Architecture
Prompt Engineering
AI Chatbot Development
AI Agents