Insurance
Underwriting, claims, policy servicing, exception handling.
Enterprise AI
Deterministic Reliability for Enterprise AI Agents
Large Language Models excel at understanding and reasoning, but they are fundamentally probabilistic. In high-stakes business environments, "mostly correct" is a failure state.
Operational execution demands conformance to business policy, regulatory compliance, mathematical rules, and deterministic logic.
Intentyfi bridges generative intelligence with symbolic constraint-based reasoning. This hybrid reasoning loop is our approach to delivering agents with reliability and determinism.
The Gap
High-stakes processes demand reliable execution.
LLMs are not enough for operational execution.
As AI agents move to high-stakes processes, the challenge shifts from model prompting to continuous business policy alignment.
Business logic cannot live in prompts.
Policies, calculations, and constraints must reside in a dedicated logic reasoning engine, serving as hard guardrails rather than soft suggestions.
Execution requires a hybrid model.
To execute high-stakes processes safely, agents must operate on a hybrid reasoning loop, continuously bridging natural language intelligence with deterministic symbolic logic.
Closing the Gap
Reliable and conformant execution for enterprise AI agents.
Model business rules, define agent behaviors, and simulate execution paths with confidence.
Business Logic Modeling
Translate policy manuals and decision matrices into code-grade logic, creating robust data models, workflows, and calculations.
Agent Definition & Simulation
Define agent personas, instructions, safety guardrails, and tool scopes. Set human-in-the-loop checkpoints and run logic traces.
Conformant Execution
Run processes securely with automated policy enforcement, dynamic state sync, and complete audit logging to guarantee reliability.
Reliable AI execution is anchored by three fundamental guarantees:
Explainable
Trace decisions step-by-step using simulator logic traces to see exactly which policy rule
triggered.
Auditable
Maintain versioned history of every prompt version, tool call, state change, and final
decision.
Conformant
Integrate active verification, PII masking, safety content filters, and strict execution
boundaries.
Not Just a Guardrail
The system of record for the agent.
Intentyfi provides an application server backed by transactional business logic. It manages the business state, decisions, calculations, and actions that accumulate as an agent carries work forward.
Human-in-the-loop workflows and operational applications can be built directly on the same foundation, allowing people and agents to work through the same logic and shared state.
For the process it manages, Intentyfi becomes the agent’s durable, explainable, and auditable system of record.
Where It Matters
Built for processes where errors are not an option.
Where every action must align with complex business policies, operational logic, and regulatory guidelines to guarantee safe, deterministic execution.
Financial Services
Loan origination, wealth operations, compliance, client onboarding.
Commerce
Returns, exchanges, marketplace disputes, customer compensation, order resolution.
Enterprise Operations
Case management, human review, exception processing, back-office automation.
Founding Team
A team that has shipped high-stakes systems.
An experienced team with a track record of building startups and scaling products across industries such as insurance, financial services, payments, e-commerce, and logistics.
Proven Builders
REPEAT OPERATORS, REAL OUTCOMES
Founders and execs who've built and scaled products across major fintech and payments companies, including acquired startups.
Deep Technical Pedigree
AI/ML & SYSTEMS RESEARCH
Advanced degrees, 20+ patents, and published research in AI and constraint systems, paired with hands-on architecture experience at production scale.
Domain Expertise, Firsthand
BUILT THESE PROBLEMS BEFORE
Personally built and shipped products in the exact high-stakes domains this company serves — such as insurance, financial services, payments, e-commerce, and logistics.
Looking Ahead
From AI assistants to trusted operational agents.
Enterprise technology has evolved from systems of record and workflow automation to highly capable intelligent assistants.
The next era belongs to collaborative AI agents acting as reliable operational partners alongside human teams.
But intelligence without control is a liability. In high-stakes environments, AI must not only understand and reason, it must execute within defined business constraints.
Enterprise AI must reason like a person and execute like a system. Most choose one. We built for both.