Where is your system already executing outside of intent?
Pulse runs a lightweight diagnostic on one workflow to identify where execution behavior exceeds approved boundaries before broader AI and automation initiatives scale.
Most systems approve the right decision. They do not control what actually executes.
As workflows move through APIs, retries, asynchronous jobs, downstream systems, and agent driven automation, approved intent can diverge from execution reality.
Execution drift
Approved intent changes as the workflow moves across systems, handoffs, retries, or exception paths.
Financial leakage
Discounts, credits, refunds, payouts, and promotions can execute outside approved boundaries.
Evidence gaps
Teams reconstruct what happened after the fact instead of proving execution matched intent at the moment it became real.
The entry point is a diagnostic, not a platform rollout.
We start by testing one workflow. The goal is to determine whether execution behavior is already creating hidden risk, cost, or control exposure.
A low friction path from insight to control.
The engagement model is intentionally staged so teams can prove relevance before changing production behavior.
Blind conformance
We configure a test surface to mirror the workflow and run blind scenarios to show how Pulse behaves under boundary and edge conditions.
Historical analysis
We review historical workflow data to identify divergence, excess execution, duplicates, exceptions, and control exposure.
Shadow mode
Pulse receives the same execution requests but does not block. The team observes what would have been allowed, escalated, or blocked.
Single surface enforcement
If warranted, Pulse returns a signed decision artifact to the commit service so execution can be routed, escalated, or refused.
One problem. Different executive lenses.
The diagnostic speaks to business owners, technical owners, risk owners, and operators without forcing everyone into the same language.
Where is execution creating financial exposure?
Test whether automated actions are producing outcomes that do not match financial intent.
- Revenue leakage
- Reconciliation breaks
- Unexpected credits, discounts, refunds, or payouts
- Manual corrections after impact
Are systems behaving deterministically at execution?
Evaluate whether workflow behavior remains bounded as execution moves across services, APIs, and downstream systems.
- Retry and async amplification
- API handoff risk
- Execution payload mismatch
- Low intrusion path to shadow mode
Can you prove what actually happened?
Move from post-event reconstruction to evidence at the moment the action becomes real.
- Execution evidence
- Replayable decisions
- Control gap findings
- Defensible action history
Where are teams fixing what systems already did?
Identify where systems produce outcomes that require manual correction, escalation, or cleanup.
- Process friction
- Inconsistent outputs
- Customer facing errors
- Workflow exceptions treated as noise
25,000 transaction conformance test.
Pulse was tested against a Salesforce style discount_request execution surface with normal cases, boundary cases, malformed inputs, missing fields, unsupported action types, and adversarial values.
Execution can be tested, replayed, and evidenced.
- Fail closed behavior on malformed and unsupported inputs
- Policy driven rules with externalized configuration
- Signed decision artifacts tied to the request
- Deterministic allow, escalate, and block outcomes
- A practical path from diagnostic to shadow mode to enforcement
High consequence workflows where this matters first.
Pulse is most relevant where an automated or AI driven action creates financial, operational, customer, workforce, regulatory, or trust impact.
Commerce and revenue
Discounts, pricing exceptions, refunds, credits, seller payouts, revenue adjustments, promotional offers.
Casino and hospitality
Comps, loyalty rewards, player offers, bonus credits, guest communications, payout related workflows.
Workforce and people systems
Corrective actions, sensitive employee communications, policy exceptions, escalation workflows.
Customer communications
High consequence messages, commitments, disclosures, collections, service decisions, policy notices.
Risk and audit
Execution evidence, control testing, audit support, replayability, proof of bounded execution.
Platforms and acquirers
A portable control layer for AI enabled surfaces that need trust, adoption, and defensibility at scale.
Built with enterprise credibility behind it.
Pulse is supported by Fierce Inc.'s operating history, enterprise relationships, leadership experience, and active intellectual property strategy.
Fierce Inc. lowers adoption risk. Pulse is not being introduced as a speculative concept without operating history. It is emerging from a company that has spent decades helping enterprises handle high consequence human decisions, leadership behavior, and accountability under pressure.
Start with one workflow.
Use this form to request a short diagnostic conversation. The goal is to identify whether one workflow is a fit for blind conformance, historical analysis, or shadow mode.
- No broad integration to start
- No production enforcement required
- No replacement of existing systems
- Designed for a business and technical review