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Tony and Jenn are especially effective as a team because they cover both the technology and operational sides of scholarly publishing. Tony brings systems and product thinking across the full publishing stack—interoperability, platform strategy, practical AI implementation, and research-integrity tooling ecosystems—while Jenn brings deep editorial operations leadership, scalable service delivery, and the execution discipline that comes from growing a small operation into a mature organization. Together, they can lead end-to-end engagements that diagnose what’s not working, design a pragmatic solution, and implement it in a way that balances editorial reality with platform and automation leverage.

Our Areas of Expertise

Strategy and leadership advisory

Publishing strategy + roadmap facilitation

Clarify mission, prioritize initiatives, define success metrics, build a 12–24 month execution roadmap 

Operational turnaround & growth planning

Org design, role clarity, governance, decision cadence, and scalable processes for editorial/production teams 

Vendor and platform selection support

Requirements definition, RFP/RFI support, scoring frameworks, demos, reference checks, and contract/SLAs guidance 


Editorial operations and workflow optimization

End-to-end workflow assessment

Submission → peer review → decisioning → production → publication, with bottleneck analysis and measurable improvement plans 

Editorial policy + SOP development

Author/editor guidance, reviewer policies, decision consistency, escalation paths, and audit-ready documentation 

Workforce enablement

Training programs for editors and staff, change-management planning, and playbooks that stick 


Peer review excellence and modernization

Peer review model design

Single/double-blind, open review, portable review, preprint-first workflows, cascading, and reviewer recognition strategies 

Reviewer pool expansion + diversification

Recruitment tactics, incentives, onboarding, and quality signals; scaling reviewer operations for growth 

Peer review quality & consistency programs

Rubric design, editorial calibration, and QA mechanisms that reduce rework and complaints 


Research integrity and risk management

Integrity screening program design

Policy + process for plagiarism, image manipulation, paper mills, authorship concerns, data availability, ethics, and COI 

Tooling integration strategy

How to combine third-party integrity tools and internal checks into a coherent “single pane of glass” workflow 

Case management playbooks

Triage, escalation, documentation, and communications templates aligned with COPE-style best practices 


AI in publishing: practical, responsible implementation

AI use-policy and governance

Permissible use, disclosure language, human oversight, risk levels, and operational controls 

AI-enabled workflow opportunities

Where AI actually saves time (triage, reviewer matching, QA checks, summarization, taxonomy tagging) and how to implement safely 

Rights-aware / entitlement-aware access patterns

Guidance on controlled AI access to licensed content, APIs, and agent-mediated workflows 


Customer and stakeholder communications

Publisher/client relationship support

Expectation setting, QBR narratives, roadmap communication, and escalations 

Board/executive briefing materials

Crisp strategy decks, business cases, and decision memos 

Contact Us

Do you have a scholarly publishing quandary and need advice?

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