The Boston Agent House Process
From workflow analysis to production-ready agent systems
Theory of Mind Mapping
Understanding stakeholder mental models and mapping workflows that serve multiple perspectives simultaneously.
- Stakeholder belief state modeling
- Multi-perspective workflow decomposition
- Goal hierarchy identification
- Contextual reasoning requirements
Agent Design
Defining memory architectures, autonomy levels, and collaboration patterns.
- Memory & context management
- Autonomy scope definition
- Inter-agent communication protocols
Integration
Connecting to your data sources, APIs, and existing systems seamlessly.
- API integration & authentication
- Data pipeline setup
- Legacy system bridging
Deployment & Learning
Containerized or on-prem orchestration with continuous fine-tuning loops.
- Containerized deployment
- Performance monitoring
- Continuous learning optimization
Real-World Impact
How we've transformed complex workflows across industries
Document Intelligence
Challenge
Teams drowning in document review, missing critical insights across hundreds of files
Solution
Multi-agent system ingesting documents, extracting novel ideas, synthesizing findings, and generating contextual summaries
Outcome
80% reduction in review time, 5x improvement in insight discovery
Credit Markets & Leveraged Finance
Challenge
Credit analysts processing 100+ leveraged loan positions across hundreds of credit agreements, amendments, and quarterly filings—missing subtle covenant changes, cross-default triggers, and deteriorating credit signals buried in dense legal documents and earnings reports
Solution
Multi-agent system with specialized agents for document parsing (credit agreements, indentures, amendments), covenant tracking (monitoring leverage ratios, coverage metrics, liquidity covenants), credit signal detection (analyzing earnings calls, rating actions, news flow), amendment analysis (identifying material terms, pricing grid changes), and stakeholder-aware reporting (differentiated outputs for portfolio managers, credit committee, risk officers, operations)
Outcome
70% reduction in covenant review time, early detection of 3 credit deteriorations 6+ weeks before rating downgrades, automated tracking of 1,200+ covenants across portfolio with zero missed amendments
Competitive Intelligence
Challenge
Manual competitive monitoring across 50+ sources taking weeks
Solution
Continuous monitoring agents with intelligent summarization and pattern detection
Outcome
Real-time competitive insights, 10x faster intelligence cycles
Why Theory of Mind Matters
The secret to building agents that truly understand complex workflows
Traditional Automation: Single Perspective
Optimizes for one metric or user type
Can't understand context or stakeholder needs
Generic outputs that miss nuanced requirements
Unable to collaborate or coordinate effectively
Theory of Mind Agents: Multi-Stakeholder Intelligence
Models beliefs, goals, and preferences of all stakeholders
Tailors analysis and communication to each perspective
Delivers contextual outputs that serve multiple audiences
Predictive coordination and proactive collaboration
In the Credit Markets case study above, Theory of Mind enables agents to understand that:
- Portfolio managers need risk/return assessments and early warning signals for credit deterioration
- Credit committee members require comprehensive approval memos with covenant analysis and peer comparisons
- Risk officers focus on covenant compliance metrics, cross-default triggers, and portfolio concentration
- Operations teams need payment schedules, amendment tracking, and documentation workflows
- Traders want pricing intelligence, market trends, and execution timing considerations
The same covenant analysis is reframed for each stakeholder—highlighting the aspects most relevant to their goals and mental models. This isn't just summarization; it's understanding what each person knows, what they need to know, and how they make decisions.