Decision Analysis
FICO, SAS, Aera — model outcomes, simulate scenarios, optimize recommendations.
Boss Loops is open core — inspect and self-host the Apache-2.0 engine, or run governed decisions on Boss Loops Cloud.
Explore Boss Loops Cloud →Loading
Governed Decision Intelligence
Your enterprise has spent millions on data pipelines, predictive models, and workflow automation. Boss Loops is the Decision Governance layer that sits above them — so every AI-driven, automated, or human-in-the-loop transition is bound by deterministic guards, frozen evidence, and an immutable Decision Record.
Intelligence without governance is risk. Governance without intelligence is bureaucracy. Boss Loops is both — focused on the Decision Governance pillar of the Decision Intelligence market.
Decision Intelligence platforms break into four capabilities: Decision Analysis, Decision Engineering, Decision Science, and Decision Governance. The giants — FICO, SAS, Aera — optimize and execute decisions. Enterprises are paralyzed by a different problem: as AI agents start making consequential operational decisions, legal, operational, and reputational risk compounds. The top trend in this space is reducing agentic risk through Decision Governance.
Boss Loops does not compete on model optimization. It governs the commit — who may transition, on what evidence, under which policy — and records the answer as an immutable Decision Record. Your workflow engines, ERP attestations, and GRC programs remain in place; Boss Loops is the governance layer they were never built to hold.
FICO, SAS, Aera — model outcomes, simulate scenarios, optimize recommendations.
Encode business logic into decision services and orchestrate model outputs.
Experimentation, behavioral insight, and continuous improvement of decision quality.
Govern who may commit, on what evidence, under which policy — with a durable record of every consequential transition. This is what Boss Loops owns.
↺ every outcome feeds back into the next decision — continuously improving
Enterprise buyers, process owners, and architects need different vocabulary for the same system. Boss Loops speaks all three without diluting the technical identity underneath.
Decision Intelligence
Enterprise buyer — VP Ops, CIO, risk
Reducing agentic risk through Decision Governance
Decision Loop
Product & process owners
Governed state cycles, durable evidence, and C10 authority
Finite State Machine
Software engineers & architects
Deterministic guardrails and state-driven execution
01
Evidence from systems of record and semantic layers you already trust — ERP, Snowflake, Looker, operational readings — qualified and frozen at capture, with references back to source definitions.
02
The differentiator. Evidence is qualified, policy is enforced, approvals are captured with the evidence presented, and the audit history is immutable. Policy checks run in the engine, not in a prompt.
03
AI that's finally useful because it's accountable — recommendations, morning briefings, confidence, emerging-risk detection, pattern analysis, and organizational learning that compounds with every decision.
04
The operational layer — human-in-the-loop and governed automation, escalations, SLAs, and orchestration across the systems you already run.
Day zero, built in
Governance as the substrate
Decision Intelligence buyers care about volatile, complex operations — procurement, supply chain, finance exceptions, and incident response. Not HR onboarding. Boss Loops governs the loops where a wrong commit costs real money, reputation, or operational continuity — whether or not the industry is formally regulated.
The trap: Modeled as a data pipeline or a linear rule: if invoice > $X, route to Y.
Boss Loops: Invoice settlement governance. The invoice is an entity with a complex state lifecycle — disputed, under review, flagged for exception. Boss Loops governs the legal transitions and records why an override was authorized.
The trap: Streaming analytics flag a temperature excursion but rely on brittle manual tickets.
Boss Loops: Lot release governance. A real-time signal opens an active loop; the state cannot return to cleared-for-release without multi-party evidence and strict guards.
The trap: PagerDuty fires a webhook; an engineer runs scripts manually with no decision layer.
Boss Loops: Incident lifecycle governance. Boss Loops authorizes which remediation workflows may run and produces a replayable record for the post-mortem.
Same pattern applies to ABM approvals, demand forecast review, and pricing exceptions — see operational patterns →
Every other system holds a piece — the ERP holds the invoice, the warehouse holds the metric, the policy lives in a PDF, the AI's reasoning vanishes with the chat window. None of them holds the decision.
The Decision Record does: the context, the qualified evidence, the governance that applied, the AI and human participation, the outcome, and the learning it produced — as one immutable, auditable, replayable artifact. That artifact is what lets you answer leadership, operations, and stewardship when they ask why a consequential transition committed.
Not post-hoc explainability on a black-box model — durable evidence frozen at the moment of the transition, with the exact inputs the approver or agent saw.
Boss Loops doesn't replace ERP, CRM, HRIS, WMS, or BI. It sits above them, consumes the business semantics they already contain, and adds the one layer they were never built to hold — the governed Decision Record.
More on this: Reuse, don't rebuild →
Inside the runtime
Intelligence recommends. Evidence grounds. Governance gates. Action executes. The layers are deliberately not interchangeable — models never write to your systems of record, and nothing executes until every guard passes.
AI analysis and recommendations. Models classify, predict, and draft — they never commit operational state.
Governed data frozen at the moment it informs the decision — the value, its definition, and its provenance.
Deterministic policies that enforce rules before side effects land. Humans and AI act under the same guards, attributed on the record — a transition that fails policy does not commit.
Final execution in your systems of record — updates, tickets, and writebacks run only after the governed commit.
Go deeper: How it works →
Decisions arrive where the work happens — a prioritized queue of what needs a human now, a daily operating narrative, and every decision one click from its full record.
ERP turned transactions into managed assets. CRM turned relationships into managed assets. BI turned data into managed assets. Boss Loops turns decisions into managed assets.
As AI becomes embedded in every enterprise, organizations won't just want AI that recommends — they'll need to prove what was decided, why, on what evidence, under which policy, who approved it, what happened, and how they learned from it. That's not a feature. It's the next layer of enterprise software, and it's the category Boss Loops is built to own.