Use Cases
MightyBot compiles plain English policies into deterministic execution paths. Not guardrails. Not suggestions. Executable logic that runs right first time.
Why MightyBot
MightyBot turns static business policies into executable logic. Plain English authoring by business teams - not engineers. Extensible policy library. Deterministic evaluation on every transaction. Decision traces for every outcome.
Business rules live in manuals, SOPs, and spreadsheets - executed by people making judgment calls. Clear on paper. Applied inconsistently in practice. Different employees interpret the same policy differently. Edge cases handled ad hoc. Exceptions granted without documentation. The larger the organization, the wider the gap between written policy and actual execution.
Same policy, different employees, different outcomes
Policy changes take weeks to reach every team member
Exceptions granted without documentation or rationale
Rule-based systems flag issues but do not execute policies. Teams drown in alerts without resolution.
Business teams can't change rules without developer help
Manual inconsistencies multiply across thousands of transactions
Business teams write policies in plain English. The Policy Engine compiles them into deterministic execution plans that complete right first time: 4-5x fewer tokens than try-fail-retry agents. No proprietary syntax. No engineering dependency.
Every transaction evaluated against current policy. Same inputs, same outputs. Every time. The engine handles combinatorial complexity - interacting rules, conditional exceptions, jurisdiction-specific thresholds. Edge cases handled.
Pre-built policies covering lending guidelines, claims handling, compliance requirements, and operational thresholds. Configurable starting points your team customizes. Deploy in days, not months.
Every policy change tracked with git-native versioning. Who changed it, when, what it replaced. Decision traces link each evaluation to the specific policy version, data inputs, and evidence sources.
The gap between written policy and actual execution is structural. We built the architecture to close it. Policies compile into execution plans. Not alerts. Not suggestions. Deterministic enforcement.
FAQ
Business teams - underwriting managers, compliance officers, operations leaders. Plain English. No programming. The Policy Engine compiles natural language into executable logic.
Exceptions are policy-driven, not ad hoc. Your team defines criteria, authority, and documentation requirements. Every exception logged with rationale and evidence.
The Policy Engine supports jurisdictional variations natively. State-specific thresholds applied automatically based on transaction attributes. No manual routing. No separate rule sets.
Immediately. Every subsequent evaluation uses the updated rule. No retraining lag. Git-native version control records exactly when the change took effect.
Structured data from systems of record and data extracted by the Document Intelligence Pipeline. Most deployments combine multiple sources. Data source doesn't matter. Policy enforcement does.
Pre-built policies for financial services covering DTI, LTV, CTR filing, OFAC screening, fair lending, claims routing. Customize existing policies or create your own. No limits on what you can build.
Most agent platforms use ReAct-style loops: try something, observe the result, try again. This consumes 4-5x more tokens and introduces retry failures. MightyBot compiles policies into deterministic execution plans. The agent knows what to do before it starts. Right first time.
