Understanding is probabilistic.
Decisions cannot be.

AI reads the unstructured work. A deterministic engine decides. The same case reaches the same outcome — every time, traceable to the policy behind it.

Request a pilot conversation See a decision run ↓ Healthcare products ↗

determinism · live check

One case. Two independent runs.

run 01—approve

run 02—approve

hashes identical — decision reproduced

Why Avectic exists

Machines can finally read human work. That is the new power — and the new problem.

For the first time, AI can interpret unstructured clinical and operational text at scale. But asked the same question twice, it can answer differently. In work governed by policy, that is disqualifying.

The new power

Comprehension of unstructured work

Free-text plans, notes, and specs become legible to software. The reading problem that blocked automation for decades is effectively solved.

The new problem

Inconsistency on identical inputs

Hand the whole decision to an agent and the same case can resolve differently each run — quick to demo, opaque under audit, impossible to stand behind.

Understanding can be probabilistic. Decisions cannot.

The approach

Two ways to build it. Only one survives an audit.

Conventional — agent decides

Hand everything to the model

01Model reads the case

02Model weighs the policy in its head

03Model emits a decision

→ different every run · opaque under audit

Avectic — rules decide

Split reading from deciding

01AI reads and structures the case

02Only structured facts cross the boundary

03A deterministic engine decides, traceable to policy

→ same case, same outcome · reproducible on demand

PA LogiQ · live decision record

Watch a real, policy-governed decision — then reproduce it.

AI interprets the free-text plan. Structured facts cross the boundary. The engine evaluates them against a named policy revision and writes an auditable record. Run it again: the record is identical.

decision console

Probabilistic · AI reads

Model phrasing varies —

Deterministic · facts cross the boundary

Only structured facts cross — never the model.

Deterministic evaluation

policy—

run—

decision hash—

stamped—

Ready — press run to evaluate and record.

Illustrative synthetic cases — not clinical or coding guidance. Procedure codes are masked (••••). Criteria and policy identifiers are demonstrations of the record structure, validated in production by credentialed reviewers.

The mechanism

One boundary is the whole architecture.

Only structured facts cross the boundary — never the model.

The economics of delay

One authorization delay does not stay one problem.

When a policy-governed decision stalls, the cost compounds downstream. Illustrative magnitudes, one case cascading.

01 · triggerAuthorization delayed

1 case held

02Scheduling slips

OR / chair time reshuffled

03Capacity sits idle

fixed cost, no throughput

04Revenue recognition slips

procedure revenue deferred

05 · tailAppeals accumulate

rework · staff hours · patient abrasion

The platform

PA LogiQ is the first application — not the whole engine.

The same deterministic core evaluates any policy-governed decision. Each vertical is a channel package on one engine.

one deterministic engine

the core

One deterministic decision engine. AI interprets, rules decide, humans are accountable — identical machinery under every package.

One engine. Channel packages. Never fork the core.

Shipping

Spine LogiQ

PA LogiQ family · spine prior authorization

Prior authorization for spine procedures, intake to submission-ready packet. In market.

Go to the product → palogiq.com

Shipping

Infusion LogiQ

PA LogiQ family · infusion therapy

Roster-level authorization visibility: dosing windows, reauth timing, step therapy, and site of care.

Go to the product → palogiq.com

What holds under audit

The four properties a decision has to keep.

Deterministic

Policy is evaluated, not estimated. The same structured facts produce the same decision on every run — no sampling, no drift.

Auditable

Every criterion is checked against a named policy revision. The record shows what was applied, and which version of it.

Traceable

The full decision path is recorded and reproducible. Any outcome can be replayed to its inputs and its rule set.

Human in command

The decision — and the accountability — stay with your team. The engine proposes and records; a person owns the call.

Integration

Built to sit beside your systems — not inside them.

The same boundary that makes decisions deterministic makes integration simple. The core doesn't need to live in your system of record: it reads what your workflow already produces, and returns a record your systems can consume.

In · from wherever the work lives

If it can send text, the core can read it

→Free-text plans, notes, and specs
→PDFs, faxes, and portal exports
→Form and worklist payloads
→Direct API calls (JSON)

No rip-and-replace. No data-model migration. In healthcare: procedure descriptions only — PHI stays in your systems.

▶▶

the core

evaluate · record ▶▶

Out · to wherever decisions land

If it can receive structured data, the record fits

→Structured decision record — JSON, API, webhook
→Formatted submission packets and documents
→Audit-log export, criterion by criterion
→Replay any decision on demand

The record is the integration: portable, inspectable, reproducible in your own systems.

A note on this page

Integration pages in this category tend to be logo walls — turnkey promises that become scoping calls after the contract. Ours is one sentence: if your system can send text and receive structured data, the core fits beside it. Anything deeper — worklist integration, portal automation, system-of-record writeback — gets scoped honestly in the pilot, not promised on a website.

Understanding is probabilistic.Decisions cannot be.

Machines can finally read human work. That is the new power — and the new problem.

Comprehension of unstructured work

Inconsistency on identical inputs

Two ways to build it. Only one survives an audit.

Hand everything to the model

Split reading from deciding

Watch a real, policy-governed decision — then reproduce it.

One boundary is the whole architecture.

One authorization delay does not stay one problem.

PA LogiQ is the first application — not the whole engine.

the core

Spine LogiQ

Infusion LogiQ

The four properties a decision has to keep.

Built to sit beside your systems — not inside them.

If it can send text, the core can read it

If it can receive structured data, the record fits

Bring one real, policy-governed workflow.

Understanding is probabilistic.
Decisions cannot be.