AI Infrastructure for Private Equity
Autonomous AI Agents That Execute
TitanStack deploys supervised autonomous agents that execute repetitive operational workflows so your teams can focus on strategic judgment and portfolio value creation.
TITANSTACK AI
Institutional-grade AI systems designed for private equity value creation.
Time-to-value
Weeks, not quarters
Control model
Human approvals on critical actions
Operating fit
Built around PE operating cadence
The Problem
Manual execution creates drag
Private equity teams still spend significant time on manual, repetitive PE workflows: gathering updates, reconciling data, triaging communication, and packaging reporting.
- Decision-relevant context is scattered across tools
- Operators spend time chasing status instead of creating leverage
- Reporting cycles consume senior time every month
The Solution
Execution with controls, not chaos
TitanStack's AI agents operate with firm-defined guardrails to automate recurring workflows, route approvals, and maintain complete auditability.
- Supervised task execution with explicit approval gates
- Cross-system orchestration tuned to firm operating rhythms
- Action history and outcomes tracked for audit-readiness
Core Capabilities
Custom agent design aligned to firm-specific workflows
Model behaviors and task routing are tuned to your firm’s operating cadence and decision gates.
Multi-tool orchestration (CRM, email, databases, document processing)
Agents coordinate signals across your stack without brittle point-to-point automations.
Human-in-the-loop approval workflows for sensitive operations
Escalation paths ensure operators approve critical actions before execution.
Real-time monitoring dashboard with audit logs
Track agent behavior, throughput, exceptions, and oversight decisions in one control plane.
Use Cases
Deal sourcing
Enrich pipeline signals and surface qualified opportunities faster.
Portfolio monitoring
Continuously track operational KPIs and exception risk across portfolio companies.
Investor reporting
Prepare narrative-ready updates with reconciled metrics and approvals built-in.
Operational support
Automate recurring requests, task routing, and follow-up workflows firm-wide.
Agent Workflow Architecture
Source Systems
Structured + unstructured inputs
Agent Core
Reasoning + Orchestration
Route tasks, resolve context, and trigger approvals before execution.
Control + Execution
Human oversight embedded
Source Systems
Structured + unstructured inputs
Agent Core
Reasoning + Orchestration
Control + Execution
Human oversight embedded
Operating Model
Step 1
Observe
Map where manual work accumulates and where response speed directly impacts portfolio outcomes.
Step 2
Execute
Deploy supervised autonomous agents for recurring workflows with clear approval and escalation paths.
Step 3
Scale
Extend orchestration across teams, systems, and reporting cycles while preserving auditability.