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AI Engagement Profitability Agent

Audit engagement profitability automation for project controls with CLV, churn, and next-best-action AI
Overview
Custom solution
Workflow

Automating Audit Engagement Profitability with AI

Automate your entire audit engagement profitability workflow—from baseline budgeting and earned value tracking through realization monitoring, churn prediction, and next-best-action recommendations.
001
Real-Time Project Controls and Margin Visibility

The agent continuously monitors budget burn, ETC/EAC, CPI/SPI, and realization metrics across every engagementsurfacing margin erosion from scope creep, grade mix drift, or discounting before it hits the bottom line.

002
Predictive Client Health and Retention Intelligence

AI models score churn risk and calculate client lifetime value using signals like on-time delivery, write-off trends, PBC delays, and relationship healthquantifying revenue at risk and prioritizing where to invest.

003
Actionable Next-Best-Action Recommendations

The system delivers context-aware plays directly where teams work: draft change orders when scope deltas exceed thresholds, staffing swap recommendations to optimize leverage, cross-sell prompts filtered for independence compliance, and cash acceleration tactics for at-risk AR.

How Cassidy automates using AI

Step 1: Connect engagement data sources

Cassidy syncs with your PSA, ERP, CRM, time and expense, and billing systems to build a unified engagement data modelcapturing budgets, actuals, rate cards, staffing, WIP, AR, and audit-specific context like phase gates and PBC status.

Step 2: Trigger on engagement events

Workflows activate automatically on key events: weekly time entry closes, milestone completions, ETC updates, billing submissions, or threshold breaches like CPI/SPI dropping below targets or WIP aging past limits.

Step 3: Analyze project controls and profitability metrics

Cassidy calculates earned value, realization rates, margin at completion, and lockup days in real timerunning variance analysis to isolate whether margin erosion stems from scope, productivity, discounting, or rework.

Step 4: Score client health and retention risk

The Knowledge Base powers churn and CLV models that weigh delivery performance, write-off history, team continuity, and relationship signals to produce actionable health scores and revenue-at-risk estimates.

Step 5: Generate next-best-action recommendations

Cassidy's AI evaluates project telemetry and client health to recommend specific interventionschange order drafts with quantified scope and fee impacts, staffing adjustments, executive check-in cadences, or cross-sell opportunities pre-screened for independence rules.

Step 6: Execute workflows and route approvals

Recommendations flow into action: Cassidy drafts change orders, creates staffing requests, adjusts billing schedules, and routes approvals to engagement partnersdelivered in Slack, Teams, or directly in your PSA with full audit trail for quality and compliance reviews.

Implement it inside your company

Get help from our team of specialists to quickly integrate this solution into your existing workflow and unlock new growth.
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  • Hands-on onboarding and support
  • Self-paced training for your team
  • Dedicated implementation experts
  • Ongoing use case discovery
  • ROI tracking & analytics dashboards
  • Proven playbooks to get started fast

A dedicated team to drive adoption and results

Our implementation experts work hands-on with your team to make sure you see real value - fast. From setup to optimization, we’re here to help every step of the way.

We enable your teams - no IT required

We train your builders, support their workflows, and make sure they get the most out of Cassidy without ever waiting on engineering.

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