ProgullProgull
Operational Impact — design goals

The bar Progull is being built to.

Progull is pre-revenue. The figures on this page are design-goal targets for the Year-1 build, not measured production outcomes. Real deployment numbers will replace these once design-partner pilots complete.

92%

Target: recurring abends auto-resolved without human touch

85%

Target: reduction in mean time to recovery on overnight batch

70%

Target: fewer Sev-2 escalations to senior mainframe SMEs

100%

Non-negotiable: audit-grade trace of every agent decision in ServiceNow

Before vs after

Same batch window. Different team.

Before Progull

Human-driven, reactive

Detection
Operator notices, pages SME
Triage
Manual SDSF / JES spool hunt
Diagnosis
Tribal knowledge, war-room
Remediation
Hand-typed JCL resubmit
Closure
Hours later, sparse worknote
MTTR
Hours, sometimes a full shift
With Progull

Agent-driven, governed

Detection
Sub-second from JES event
Triage
Telemetry auto-attached
Diagnosis
Explainable agent narrative
Remediation
Policy-approved playbook
Closure
Auto-closed with full trace
MTTR
Minutes — typically <3
Where the value lands

Downstream of the agent, the whole org benefits.

Operations

Fewer overnight pages. SLA breaches drop. Run-books become living code.

Engineering

Senior SMEs stop being the human dispatch system. Their expertise compounds into playbooks.

Business

Payroll runs on time. GL closes. Cut-offs are met. The mainframe stops being the bottleneck.

Impact by abend family — targets

Where the lift is expected to show up.

Design-goal auto-resolution rates on the families that dominate overnight batch. These are the targets Progull is being built against — not measured customer deployments.

Family
Auto-resolved
MTTR
Notes
S0C7 · Data exception
96%
2m 14s
Packed-decimal overflow; clean-resubmit playbook
S322 · Time exceeded
78%
4m 02s
Step-split + capacity escalation on outliers
SB37/SD37/SE37 · Space
94%
3m 12s
Reallocate + extents PRIMARY=+200
SQLCODE-911 · Deadlock
99%
0m 48s
Exponential backoff retry, max 3
S913 · RACF access
41%
Escalates to access request — by design
AICA · CICS runaway
88%
1m 56s
Purge TRAN; cycle region on repeat
Design-partner rollout arc

What a design-partner pilot is scoped to look like.

Progull is pre-revenue. The arc below describes the intended shape of a design-partner pilot — Advisory tier only during the pilot; higher tiers unlock post-pilot for confirmed customers.

  1. Weeks 1–2

    Advisory on top abends

    Agents observe the top recurring abends on a scoped, non-production subset. Operators read reasoning traces; zero action on z/OS.

  2. Weeks 3–12

    Recommendation review

    Agents produce full remediation proposals inside ServiceNow. Weekly review calls sharpen the playbook library. Still no autonomous z/OS actions.

  3. Weeks 13–24

    Playbook hardening

    Approved patterns roll into the shared library. Design-partner sees the full evidence pack for every recommendation before any promotion out of Advisory.

What stops being a meeting

The org chart gets quieter.

Progull retires entire categories of standing calls — the war-rooms, the post-mortems on repeat causes, the 7am hand-offs.

  • The nightly batch stand-up reading run-book status to a roomful of people.
  • The Friday RCA on the same recurring S0C7 that everyone already knows.
  • The Sev-2 escalation that wakes up the senior SME for a 90-second fix.
  • The hand-off email at 7am explaining what the on-call did and why.
  • The quarterly capacity review that surfaces issues already fixed.
  • The audit prep sprint that re-derives evidence the agent already attached.
ROI report generator

Model the savings on your batch.

Six inputs. A printable, shareable report. No login required — email yourself the PDF if you'd like a copy.

Your inputs

Six numbers. Adjust to match your batch.

Abend volume (per quarter)8,000
Average MTTR today (minutes)55 min
Fully-loaded operator cost ($/hr)$180
On-call team size8 people
Autonomous-mode share goal85%
Time horizon (months)12 mo
Projected savings

Your ROI report

Total over horizon
$6,980,480
Per month
$581,707
Operator hours reclaimed / mo
1,964
Auto-resolved / mo
2,267
Operator-time savings$353,600 / mo
On-call relief$1,440 / mo
SLA-breach avoidance$226,667 / mo
MTTR delta52 → 3 min

Assumptions: new MTTR set to 3 min on auto-resolved; SLA-breach probability at 4%; on-call relief at 25% of standby hours. Tunable in a deeper engagement.