In Development — Early Access Available
A ForensAlytics Product

Drift-Braking™
Stop paying AI to rediscover
what you already know.

Drift-Braking evaluates every AI request before it executes — determining whether analysis is actually needed or whether an existing rule, workflow, or template already handles the work. It is an execution governance layer, not an AI replacement.

Request Early Access See AgentSaver™ →
Decision Lifecycle - During Execution
Organizations increasingly spend resources reanalyzing information, rerunning AI workflows, and repeating decisions that have already been validated. Drift-Braking constrains unnecessary analysis and execution by routing repeatable outcomes through governed paths.
Routing Decisions

Four routes.
Only one uses AI.

AI Execution
The request is genuinely novel. No governed path, no existing answer, no reusable template. AI analysis is warranted.
Condition: Novel, unclassified, no governed match
Deterministic Execution
A governed rule or workflow already handles this request. Execute deterministically. No AI required, no token spend incurred.
Condition: Matched governed rule or workflow
Existing Answer Reuse
This question has been answered, validated, and promoted. Return the validated answer. Do not re-analyze.
Condition: Promoted AgentSaver™ capability
Escalation
The request cannot be classified with sufficient confidence. It is routed through the defined risk escalation path — not executed speculatively, and not suppressed silently.
Condition: Ambiguous, high-risk, or evidence-insufficient
The Cost Problem

AI costs grow because
AI is asked to repeat itself.

Organizations have no layer between an application event and AI execution — agents handle stable, repeatable work they were never the right tool for, looping through reasoning on problems that routing rules would have resolved instantly.
BCG (2026): two-thirds of companies can't control AI inference costs — "in less complex situations, baseline automation solutions are sufficient." Gartner: 50% of AI projects will overrun budgets through 2028 due to poor architectural choices. 94% of IT leaders cite AI sprawl as a top concern — OutSystems, 2026, n=1,900
Request Distribution — Before Drift-Braking™
AI Required
100%
After Drift-Braking™
Truly Novel
39%
Deterministic
37%
Reuse
24%
Illustrative distribution. Actual split depends on your AI usage profile and existing governance coverage.
What Is Drift?

Drift occurs when the same input produces different outputs — when equivalent requests are handled inconsistently. Drift is measurable, and it is expensive: it means your AI is reasoning through problems it has already solved.

What Drift-Braking Does

Drift-Braking sits between application events and AI execution. Before a request reaches the AI layer, Drift-Braking evaluates it against governed rules and validated outcomes — and routes it accordingly.

Pay Once, Not Repeatedly

Define the workflow once. Validate it once. After that, equivalent requests execute deterministically. The AI is reserved for the work only the AI can do.

Built on AgentSaver™

Drift-Braking's governed rules are populated from AgentSaver's validated outcomes. The more your organization validates and promotes, the more Drift-Braking can route away from AI.

Stop paying your AI
to rediscover what it already answered.

Drift-Braking is in active development. Contact us to discuss your AI usage profile and early access.

Request Early Access See AgentSaver™ →