Submission and decision-record reconciliation
Submission and decision-record reconciliation. Keep the source details and outstanding dependencies together.
MANUSCRIPT ID / EDITORIAL DECISION / PRODUCTION PROOF
AI agent for independent scholarly-journal publishers
Your AI agent preserves manuscript versions, editor-issued decisions, reviewer assignments, declared deadlines and proof corrections.
A specialised AI agent you can ask for more. Chat here on the site.
$99.00/month, including $40.00 in monthly credits. Monthly subscription. Before tax.
One place for submission and decision-record reconciliation, reviewer and production coordination, proof delivery and issue publication follow-through.
MADE FOR YOUR WORKDAYStart with work already on your desk
Share the relevant records in your regular Teams chat and give your specialist an outcome. No model or tool choices to make first.
Get my AI agent →“Coordinate the next issue, chase editorial and production dependencies and deliver a complete issue-readiness report.”
A useful first result
An editable journal production coordination working register with traceable references, resolved discrepancies and specific next actions.
Example assignment, not a promised delivery time. Your agent works from the records and access you provide. Add connections when you want it to act in other systems.
A conversation at your desk
This example shows an established working setup: the agent already knows the business and has the records and connections listed below. Hand over the assignment and it carries the work through to saved results.
Illustrative project · configured agent at work
A configured agent with your manuscript id, editorial decision and production proof records, current commitments and the connected accounts used for reviewer and production coordination.
A working specialist can handle the project, with a configured team sharing the work where available. This is an example of what you can build up to, not a first-launch conversation. Timing and usage depend on the assignment.
Coordinate the next issue, chase editorial and production dependencies and deliver a complete issue-readiness report.
Two proofs reflect older accepted manuscripts and three reviews missed their dates. I am coordinating current versions and recording the editors' next steps.
Work in progressKeep editorial decisions with the editors and preserve the manuscript version history.
Production packs match accepted versions, review dependencies have accountable status and the issue report separates ready articles from unresolved editorial work. Your working files and dashboard reflect the recorded outcomes.
Later · delivery and saved resultsMANUSCRIPT ID / EDITORIAL DECISION / PRODUCTION PROOF
Preserve manuscript versions, editor-issued decisions, reviewer assignments, declared deadlines and proof corrections. Distinguish administrative completeness from editorial acceptance; retain confidential correspondence within the intended journal workflow and source publication claims from actual issued material. Your specialist maintains these working records in regular Teams as the assignment develops.
Your AI agentPrepared for independent scholarly-journal publishers
An example record for manuscript id, editorial decision, production proof, article production packs completed.
The useful next step
Prepare submission and decision-record reconciliation from the available records. Save the supporting references and mark any missing details so the next step stays clear.
From enquiry to a useful next step
Add a job reference and the details you already know.
Manuscript ID and editorial decision, ready to check.
Give your specialist the outcome and let it carry the work forward.
Keep working records in Files and Tasks.
Keep the job and its next steps together.
Ask your specialist to maintain your working records in Files and Tasks and adapt the reports in Teams Dashboards. These are the regular platform tools, prepared for your business. Connections to other systems are optional.
The details your specialist follows
Follow each manuscript id through the working record. The example below shows how references, dependencies and resolutions stay together, so you can trace what changed and what happens next.
Keep an eye on: overdue reviews, stale proofs and missing publication metadata.
Illustrative working document · your records start empty
| Manuscript ID | Dependency to follow | Evidence of completion |
|---|---|---|
| JOURNALS-104 | Submission and decision-record reconciliation | Version discrepancies resolved |
| JOURNALS-118 | Reviewer and production coordination | Production dependencies closed |
| JOURNALS-126 | Proof delivery and issue publication follow-through | Published metadata matching accepted records |
Illustrative project figures. Your agent maintains working records in normal Files and Tasks and reports completed work in Teams Dashboards. Ask it to adapt those records and reports as your workflow changes.
Built around the details that matter
Publishes peer-reviewed scholarly journals; trade magazines publish industry journalism and book publishers manage standalone titles.
Submission and decision-record reconciliation. Keep the source details and outstanding dependencies together.
Reviewer and production coordination. Track changes against the same job reference.
Proof delivery and issue publication follow-through. Save the outcome and carry the next steps into your working records.
A small tool for a real job
Follow overdue reviews, stale proofs and missing publication metadata before they turn into another missed commitment.
Try the numbers, then bring the confirmed brief to your specialist. Start with a reference such as “Job 104”—you do not need to upload your customer database.
Try your own numbers
Planning arithmetic from your inputs. Your specialist can turn the confirmed details into a working brief. This is not a quote or capacity commitment.
Prepared for your business
Six useful measures, ready in your regular Teams dashboard. Your specialist keeps them up to date from the real work and records it can access. Ask it to change a measure, add a report or investigate what is behind a result.
Recorded total · articles
Actual articles for article production packs completed, from completed source records in the journal production coordination working register. Log the observed quantity once per source completion; exclude planned work, duplicate updates and example figures.
Recorded cases · cases
Distinct version discrepancies resolved cases supported by a recorded outcome in the journal production coordination working register. Count once per source case; repeated messages, reopened cases and routine checks are not additional completions.
Recorded cases · cases
Distinct production dependencies closed cases supported by a recorded outcome in the journal production coordination working register. Count once per source case; repeated messages, reopened cases and routine checks are not additional completions.
Average · hours
Elapsed hours for accepted manuscript receipt to proof-ready pack, using actual start and completion timestamps for the same source case. One duration per completed observation; omit pending cases and missing timestamps.
Observed rate · %
Published metadata matching accepted records divided by all completed assessments of the same requirement with a known met or not-met outcome. Use the agreed job specification and actual evidence; classify each source case once, excluding pending and unassessed work.
Observed rate · %
Agreed proof delivery dates met divided by completed commitments with known original agreed deadlines and actual completion timestamps. Record on-time or late once per commitment; exclude pending or undated work and never move a past deadline to hide lateness.
Your reports start empty. Figures reflect observed work in the selected period; missing records are not treated as measured zeroes. Current jobs, schedules and stock stay in your working files and tasks. You and your agent can adapt the dashboard as your business changes.
Keep the tools that already work
Your AI agent starts with the details of your business already in mind. The three workflows are starting points. Ask it for help with another task in the same conversation.
The starting instructions, intake questions and working rules already match independent scholarly-journal publishers. Add your service list and one example of your tone when you are ready.
Give your agent an outcome, the access it needs and your budget. It handles routine decisions and follows through in your connected tools, asking when a missing business decision needs you. Set or change your own boundaries whenever you want.
Ask your journal production coordination to investigate recurring exceptions, compare suppliers, improve customer communications or take on another business assignment in the same workspace. Give your agent another task in plain language. What it can carry out depends on the tools you connect and the access you choose.
Recommended starting plan
Begin with one specialist and a report preset for your business. After setup, your regular Agent Teams conversation opens. No tool selection before your first conversation.
$99.00/month
Capacity for 1 running agent · 50 active hours per month
Start my AI agent →$99.00 before tax today and monthly, including $40.00 in Platform Credits after the first payment and each paid renewal.
Unused credits roll over. AI usage draws from your balance; additional credits are available when needed. $0.15 applies per active hour beyond the included allowance. Optional voice and other services cost extra.
Hosting availability is checked before payment. Create your account, confirm your monthly subscription, then start chatting when your specialist is ready. Your instructions and dashboard are prepared automatically after payment.
Automatic top-ups start off. Buy credits manually or set automatic top-ups and spending limits in your account. Keep the full Teams controls for models, connections and supported settings.
Before you begin
Preserve manuscript versions, editor-issued decisions, reviewer assignments, declared deadlines and proof corrections. Distinguish administrative completeness from editorial acceptance; retain confidential correspondence within the intended journal workflow and source publication claims from actual issued material. Start with the records you have; add connections when you want it to work in those systems.
No. This is an AI agent specialised for independent scholarly-journal publishers, with three prepared workflows to get you started. You can ask for writing, research, planning, analysis or another task in the same chat. It can make routine decisions and carry the work through using available tools. You set its boundaries; it asks when a real business decision or missing access needs you.
After payment, we prepare your AI agent for independent scholarly-journal publishers, its workflows and your journal production coordination working register dashboard. Your regular Agent Teams chat opens when setup is ready. Files, Tasks, settings and billing work the same as for other customers. Reports start empty and count actual reported work; the examples above are illustrative.
No. Prepare your first brief and draft here. Connect external channels later when you want the specialist to work there.
Use it alongside your current tools for preparing work and organising jobs. Live stock, availability, sending and payment records require a verified connection or your own confirmation.
Compare the working records and business types each specialist is prepared for.
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