OSPRE SOLUTIONS INC.

MCCE AI-Assisted Operations Routing Simulator

A concept for RFI M67854-26-I-4208: every ticket and alert goes to the least costly AI tier that meets the accuracy bar, and a human review gate is never skipped. All tickets, users, hosts, and figures are simulated with synthetic data.

Pauses or resumes the auto-updating feed and meters.

Simulated 5-year contract timeline

Year 1, month 1

Running meters (simulated with synthetic data)

Items processed
0
synthetic tickets & alerts
Tickets deflected
0
0% auto-remediated or deflected
Analyst hours saved
0.0
est. touch-labor avoided
Avg AI cost per task
$0.00
absorbed by OSPRE - $0 to the Government
simulated cost model
Held at human gate
0
0 awaiting authorization now
Tier split (final tier)
Local 0% · Mid-tier 0% · Frontier 0%
Equivalent headcount
110
FTE, 0% below Year 1 (labor-only path: 110)

All meters and figures are simulated with synthetic data from a pre-scripted stream. Response targets appear only as targets, never as results.

Live feed synthetic

Newest first. Pre-scripted AI decisions; identifiers are fake.

Card fields: Confidence Tier bump Minutes saved Cost SIPR rule

    How to read this demo
    • Pre-scripted and synthetic. 34 ticket and alert types from OSPRE's MCCE RFI response, varied with fake users (user0417), hosts (mcce-ws-demo-112), and 10.x addresses. Nothing is marked CUI because nothing is real.
    • Simulated cost model. Tokens per task × illustrative blended rate: Local $0.50, Mid-tier $4, Frontier $30 per million tokens, plus a small router cost. Bumped items pay for every attempt. Not a price quote.
    • Human gate rules. Containment, eradication, recovery, and any action affecting more than 10 users wait for human authorization. IL6/SIPR-tagged data never leaves the local tier.
    • Every figure is simulated with synthetic data. Targets are shown only as targets; no real-world performance is claimed.

    Routing flow

    Least costly tier that meets the 0.80 confidence bar. Low confidence bumps up a tier or goes to a human.

    Sources (overlays)

    ITSM
    (ServiceNow)    0
    Identity
    (Entra ID / M365)    0
    SIEM
    (security events)    0

    Intake & triage

    Intake + input guard0
    Triage router
    threshold 0.80    0

    Model tiers

    Frontier
    slot: Model X    0
    Mid-tier
    slot: Model A    0
    Local fine-tuned
    inside IL5/IL6    0

    Outcome

    Auto-remediated0
    Deflected to self-service0
    Routed to analyst0
    Human review gate
    held for authorization    0

    Waiting for the first item.

    Human review gate queue

    The AI prepares evidence and a recommendation; a Government-authorized person decides. Buttons are simulated.

      No items waiting. Items held for authorization appear here.

      Headcount vs. supported users

      Notional model from OSPRE's RFI response. Simulated.

      Chart data as a table
      Notional headcount by contract year (simulated with synthetic data)
      YearSupported usersLabor-only FTEAI-assisted FTE

      Integrations & categories

      Overlays on tools the Marine Corps already owns. Generic labels, no new licenses.

      • ITSM (ServiceNow)
        incidents, requests, changes, events
      • Identity (Microsoft Entra ID / M365)
        sign-ins, licenses, provisioning
      • SIEM
        alerts, normalized logs, IOC sweeps

      Work categories

      • Service desk
      • Identity & M365
      • Network ops
      • Alert correlation
      • STIG & compliance
      • DCWF workforce

      Live model swap

      Integrations unchanged by a swap.

      Response targets

      • ≥85% classification accuracy (target)
      • ≥20% Tier 1 deflection potential (target)
      • Live model swap without changing integrations (target)