ProgullProgull
Agentic AI for mainframe operations

Zero-touch abend managementfor mainframe batch.

Progull is the agentic AI layer that detects, diagnoses, remediates and closes mainframe batch incidents end-to-end — natively wired into z/OS, CICS, DB2, JCL and ServiceNow.

92%
Auto-resolved abends
<3m
Mean time to recovery
24/7
Hands-off operations
SDSF · Live · 02:14:09
$ progull watch --queue BATCH.PROD --lpar SYSA,SYSB
[00:00] ABEND S0C7 · JOB PAYRUN02 STEP0040 PROC RUNTAX
└─ SYSUDUMP 4,812 lines · PSW 078D1000_8000A4F2
[00:08] ingest → SYSOUT · SYSUDUMP · JCL · DB2 SQLCODE -911
[00:14] classify → data exception · packed-decimal · COBOL
confidence=0.94 signature=match#PAY-S0C7-014
[00:21] diff JCL vs baseline · 3 lines changed in CHGREL.2614
+ //STEP0040 EXEC PGM=PAYCALC,PARM='NEW'
- //STEP0040 EXEC PGM=PAYCALC,PARM='CLEAN'
[00:32] rca → field WS-GROSS-AMT redefined PIC S9(7)V99 → overflow
[00:41] evaluate playbook → pb.s0c7.parm-revert (v4)
policy.match=true · auth.scope=ops.batch · review=auto
[00:55] serviceNow → INC0098231 enriched · CI=PAY.BATCH
[01:08] remediation → resubmit STEP0040 PARM=CLEAN COND=(0,LE)
JES2 → JOB07412 queued · class=A · priority=9
[01:34] validate → STEP0040 RC=0000 · 412,189 rows posted
[01:58] DB2 → tablespace PAY.GROSS quiesced · rebind OK
[02:14] INC0098231 closed · MTTR=02:14 · trace attached → ServiceNow
$ _
Native toz/OSCICSIBM DB2JCLSDSFJES2/JES3ServiceNow
0%
Recurring abends auto-resolved
0%
Mean time to recovery reduction
$0+
Saved per avoided night-call
0/7
Hands-off batch operations
Target industries

The verticals we're building for.

Progull is pre-revenue and has no production customers yet. The logos below represent the regulated batch estates the platform is designed to serve once the build cycle and design-partner pilots complete.

Logos are trademarks of their respective owners; shown for illustrative purposes. Click any client to read the engagement story.

* Illustrative only. Company names and logos are the trademarks of their respective owners and are shown to describe the industries and workload patterns Progull is being built for. Their inclusion does not imply endorsement, partnership, or a commercial relationship with Progull.

See the target-industry roster
Live simulator

Pick an abend. Watch Progull resolve it.

Each tab streams a representative reasoning and remediation trace as Progull would handle it inside ServiceNow.

S0C7 · Data exceptionRUNNING
Incident lifecycle

What used to take hours, closed in minutes.

A representative S0C7 abend, handled end-to-end by Progull agents inside ServiceNow.

  1. 00:00
    1

    Abend detected

    S0C7 surfaced in JOB PAYRUN02 within seconds of the JES spool event.

  2. 00:15
    2

    Telemetry ingested

    SYSOUT, SYSUDUMP, JCL and DB2 SQLCODE pulled from SDSF — no human in the loop.

  3. 00:42
    3

    Root cause reasoned

    Correlated to a recent COBOL packed-decimal change and upstream feed file.

  4. 01:30
    4

    Remediation executed

    Approved playbook re-submits STEP0040 with corrected parm; ServiceNow notified.

  5. 02:14
    5

    Incident closed

    INC0098231 auto-resolved with the full reasoning trail attached.

Architecture

One ingestion plane. One reasoning plane. One ticketing plane.

No 3270 screen scrapers, no parallel ticketing — Progull fuses native mainframe telemetry into ServiceNow under your existing controls.

Mainframez/OS · CICSCollectorOn-prem broker · signedReasoningAgent loop · policy-gatedServiceNowincident · cmdb

Hover a node · click to pin

Mainframe
z/OS · CICS · DB2 · JES
Protocol
TLS 1.3 · TN3270E · BSF4ooRexx
Payload sample
  • SYSLOG events
  • SDSF SYSOUT
  • SYSUDUMP
  • DB2 SQLCODE
  • JCL deltas
Latency
p50 280ms · p99 740ms
Status quo vs Progull

The same incident. Two operating models.

Stage
Today
With Progull
Detection
Operator paged after threshold breach
Agent observes JES spool in real time
Triage
Manual SDSF browsing across LPARs
Telemetry fused into one reasoning context
Diagnosis
Tribal knowledge in 2–3 SMEs
Explainable RCA against history + change events
Remediation
Free-form commands by ID with OPS authority
Policy-as-code playbooks under surrogate ID
Closure
Worknote written by exhausted on-call
Auto-closed with full reasoning trail attached
MTTR
47 min average · highly variable
Design target: < 3 min on the long tail of recurring abends
Knowledge
Stays in heads · lost on attrition
Compounds as approved playbooks & KB articles
ROI calculator

What does an abend cost you today?

Drag the sliders to your environment. Numbers refresh in real time using Progull's design-goal assumptions (92% auto-resolution, 85% MTTR reduction). These are targets the platform is being built for — not measured deployment results.

200
202,000
45 min
10180
180 /hr
75400
Operator hours reclaimed / month
117 hrs
Direct labour savings / month
$21,114
Abends auto-resolved / month
184
Annualised savings
$253,368

Indicative only. Excludes downstream SLA recovery, deferred change, and avoided escalation cost.

Pricing

No commercial price yet — by design.

Progull is pre-revenue. The only engagement available today is a design-partner slot at no charge. Commercial pricing publishes after the first pilots close.

Current engagement

Design-Partner Pilot

No charge
~6 months · Advisory tier only

While Progull is being built, we onboard a small design-partner cohort at no fee. Pilots run in Advisory mode against a scoped, non-production subset of your batch fleet.

  • Bounded, non-production or shadow-mode integration
  • Weekly build increments on a shared agenda
  • Named engineer on the Progull side
  • Advisory tier only — no autonomous z/OS actions
  • Anonymized learnings roll into the shared playbook library
  • No obligation to a paid contract at pilot end
Post-pilot

Commercial Plan

TBA
Published after design-partner pilots close

Commercial pricing is deliberately unpublished. It will be set against real deployment evidence from the design-partner cohort — not a guess made in advance.

  • Priced against measured outcomes, not seat counts
  • Tiered Autonomy — Advisory, Approval, Autonomous
  • On-prem, BYOC or managed-tenant deployments
  • Custom integrations (ServiceNow, SIEM, IdP, paging)
  • Governance workflow co-authored with your change board
  • Terms will publish once pilots complete

Progull is a pre-seed company. Engagements today are limited to the design-partner cohort described above.

Progull Research · 2026

The State of Mainframe Operations.

41 operations leaders. 90 days of normalized telemetry. The numbers behind on-call load, autonomy adoption, and where LLM pilots are still falling short.

47 min
Median MTTR on recurring abends
73%
Of resolution effort sits with <5 SMEs
31%
Of abends are 30-day repeats
Frequently asked

The questions teams ask in the first call.

Bring zero-touch operationsto your mainframe batch.

See a live walkthrough of Progull resolving a real abend — from JES spool to closed ServiceNow ticket — against your environment profile.

Request a demo
Or reach the founder directly · zeeshan.afzal@progull.com