Now onboarding Design Partners

A wrong block costs a customer.
A wrong approval costs a regulator.
The operational decision layer for autonomous agents.

Principia writes those boundaries once — grounded in your business knowledge graph — then enforces, logs, and replays them across every agent you run, from any vendor.

Not sure what your agents are actually optimizing for? Find out free — no configuration required.

The mandate check
A loan application that looks risky and is approved
Mandate signature valid
Within guardrail boundaries
No prohibited pattern matched
Permitted.

An agent that stops it has taken a decision against the institution that deployed it.

How a rule becomes a mandate

Structured business rules, not natural-language prompts.

01 · Built in the rule builder
New Guardrail
DOMAINCreditIFsegment = "prime" AND debt_to_income < 0.35THENapproval_amount ≤ capital_floorTIERGuardrail · hard boundary

No prompts, no freeform text. Business owners compose structured rules — every field already resolves to your knowledge graph.

02 · Grounded in the graph
segmentdebt_to_incomeapproval_amountcapital_floor
03 · Enforced everywhere
Credit Agent
Vendor A
Bound
Claims Agent
Vendor B
Bound
Payment Agent
Internal
Bound
Support Copilot
Vendor C
Bound

Same mandate, same version, enforced identically regardless of which vendor built the agent.

§01 — In numbers
3
Decision domains

Credit, claims, and payment boundaries, each bound to a versioned mandate.

2
Rule tiers

Permissions & Priorities an executive can tune, separated from Prohibitions & Guardrails that never bend.

12%
Decisions that would have changed

The real result of replaying a candidate mandate against 1,000 underwritten loans before it shipped.

§02 — The problem, in two parts
(a) PER AGENT

Authority outruns control.

A credit agent can decline an application in milliseconds. What nobody wrote down is which dangerous-looking decisions it is allowed to make: the payment to a new beneficiary under a valid client mandate, the claim above a referral threshold already cleared by fraud review, the loan the risk committee approved. Each looks risky. Each is permitted. An agent that stops them has made a business decision nobody delegated to it.

Principia binds each decision to a versioned mandate, traceable back to the executive intent behind it.

(b) ACROSS THE FLEET

Intent has to bind across vendors.

A lender runs a fleet — origination from one vendor, claims from another, payments and internal agents besides. "How much risk we accept, and where we never bend" is expressed per-vendor, inconsistently, or nowhere.

Principia is a neutral mandate layer that directs every agent from a single, central source of business intent grounded in your knowledge graph.

§03 — Why it's different

Why Principia works differently.

01

Mandates are grounded in your business, not a prompt.

Every boundary resolves through your business knowledge graph — concepts, fields, relationships — not a keyword match against a policy document.

02

One mandate directs every agent, from any vendor.

Credit, claims, and payment agents from any vendor read the same signed source of intent — no per-vendor config drift.

03

Prove it before it ships. Enforce it without a model in the loop.

Replay a candidate mandate against real history before go-live. At runtime it's a deterministic, cached lookup — no LLM, no variance.

§04 — What the layer does

A business-intent mandate layer, alongside the agents already in production.

Business knowledge graph: concepts, domains, relationships, and fields connected into a single semantic model
01

Intent, grounded in your business knowledge graph.

A business owner composes a rule in the rule builder — domain, condition, boundary — not a paragraph of policy prose. Principia grounds every field against the company's knowledge graph — a semantic model of its concepts, domains, relationships, decisions, and history — and composes a domain-specific mandate per agent (domain × role × capability).

Every field in the builder is already a reference into that graph — not a flat mapping. Principia separates the strategic levers an executive can pull from the hard boundaries that must never bend: segment, debt_to_income, approval_amount, capital_floor.

  • Structural grounding through the knowledge graph, not keyword retrieval
  • Multi-Tier Rule Resolution: natively separates dynamic executive goals (Permissions and Priorities) from unalterable operational boundaries (Prohibitions and Guardrails)
  • Served over MCP, or enforced at the tool call
  • Same central intent serves agents from any vendor
02

Every decision is bound to a signed mandate — and replayable.

Run a candidate mandate over the last N real decisions and see exactly which would change before it ships.

REPLAY · LAST 1,000 UNDERWRITTEN LOANSv2.1.0 vs v2.0.4

12% of decisions would have changed outcome.

Compare mandate versions against history before they go live.

Every decision — permitted or blocked — is logged against the mandate version that governed it, ready to compile into a compliant audit report for examiners and regulators.

Abstract split-screen visualization comparing decision outcomes under two mandate versions
§05 — FAQ

Frequently asked questions.

Principia sits near several familiar categories. Here's how it's actually different.

Design Partner Program

Build the mandate layer with us.

We are working with a small number of banks, insurers, and lenders that run autonomous agents in production and need a single, provable way to bind them to business intent. If that is you, let's talk.

Not ready for a discovery call? Let us run a free diagnostic first. We'll ingest 30 days of your agents' credit, claims, and payment decisions, surface what they're actually optimizing for, and show you how last month's decisions would have changed under your intended priorities. No configuration required.

Or email us directly at hello@principiaos.com

No configuration required · 30 days of real decisions · Free diagnostic, no commitment