Project Management
Organize multiple AI applications under individual clients. Assign unique project IDs to isolate chatbots, extraction bots, and workflow agents.
Project-Level Token & Cost Attribution
Granular AI token volume and cost metrics isolated by project ID
| Project & Client | Primary Models | Tokens (Prompt / Comp) | Total Tokens | Estimated Cost |
|---|---|---|---|---|
AI Customer Support Agent Client A — FinTech Corp | claude-3-5-sonnet & gpt-4o | 4.2M/1.8M | 6.0M | $245.80 |
Omnichannel Recommendation Engine Client B — RetailGenius | deepseek-v3 & gpt-4o | 12.4M/3.8M | 16.2M | $218.40 |
Clinical Triage Assistant Client C — HealthAI Solutions | claude-3-5-sonnet | 3.4M/1.1M | 4.5M | $177.40 |
Document Extraction Assistant Client A — FinTech Corp | gemini-1.5-pro | 5.8M/1.2M | 7.0M | $164.20 |
Catalog Auto-Tagging Bot Client B — RetailGenius | gemini-1.5-flash | 8.2M/2.4M | 10.6M | $141.60 |
Fraud Risk Summarizer Client A — FinTech Corp | gpt-4o-mini | 2.1M/0.6M | 2.7M | $70.00 |
Why Agencies Struggle Without Dedicated Project Management
When a client's monthly AI spend spikes unexpectedly, engineers and account leads have no visibility into which project caused the surge. Teams waste time debugging multiple systems to find a single misconfigured extraction prompt.
Enterprise clients rarely stop at a single AI application. A retail client might contract an agency for an Omnichannel Customer Support Agent, a Catalog Auto-Tagging Bot, and an Internal Analytics Assistant. Without project-level tracking, the agency cannot determine which specific deliverable is driving the highest token consumption or whether a particular feature is running inefficiently. SoftWritely's Project Management module provides granular workload hierarchy under each client account.
Core Capabilities of Project Management
Pinpoint exactly which deliverable consumes the most tokens and evaluate project-level profitability before milestones close.
Multi-project hierarchy nested cleanly under client accounts
Designed to ensure auditable data integrity, structured export, and granular visibility.
Unique project identifier (UUID/slug) attribution system
Designed to ensure auditable data integrity, structured export, and granular visibility.
Project-level token breakdown: prompt, completion, and cached tokens
Designed to ensure auditable data integrity, structured export, and granular visibility.
Model efficiency comparison across different agency deliverables
Designed to ensure auditable data integrity, structured export, and granular visibility.
Active, maintenance, and archived project lifecycle states
Designed to ensure auditable data integrity, structured export, and granular visibility.
Custom milestone and feature-level expenditure tagging
Designed to ensure auditable data integrity, structured export, and granular visibility.
How Project Management Operates
Structure Projects Under Clients
Nest specific deliverables (e.g. AI Customer Support Agent, Document Extraction Assistant) under their designated client profile.
Generate Unique Project Identifiers
Assign unique project IDs (e.g. `proj-101`) to pass via SDK request headers or proxy gateway routing parameters.
Monitor Deliverable Cost Velocity
Track real-time token volumes, input vs. output token ratios, model selections, and daily costs isolated by project.
Manage Project Lifecycle Status
Flag projects as active, in-development, paused, or completed to maintain a clean agency delivery directory.
Frequently Asked Questions: Project Management
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