Path 1Available now
Use AI in OCM Work
Help change practitioners and teams use approved AI tools to improve their own OCM work with the right workflow structure, sources, guardrails, review standards, and human judgment.
Explore the Workflow SprintAI workflows for change teams
Use AI in OCM work.Keep human judgment where it matters.
AI@OCM helps change teams determine where AI genuinely improves real change work, where it should do less, and what people must still interpret, review, and own.
Path 12 weeks$4,500 USD
A no-obligation fit conversation. Keep initial details non-confidential.
Vendor-independent
OCM-specific
Source-grounded
Human-reviewed
Before prompts. Before agents.
First, make sure AI belongs in the workflow you are trying to build.
Change teams can lose months trying to automate an outcome that is actually several judgment-heavy workflows bundled together. Better prompts will not fix unclear inputs, weak source material, undefined review, or an ambition that is simply too broad.
A useful decision before a larger commitment.
Receive recommendations specific to the work you bring. The right outcome may be a smaller AI role, a process improvement, or a decision to leave the work human-led.
Two distinct paths
Different needs require different OCM work.
AI@OCM keeps the team’s own AI-enabled work separate from the organizational work of helping people adopt AI.
Path 2Available now
Support AI Adoption
Help organizations integrate AI into roles and workflows through manager enablement, messaging, trust, safe-use guidance, feedback, and sustained usage.
Explore the Readiness SprintA separate offer for one capability, one role group, and one workflow change.
Featured Path 1 offer
AI@OCM® Workflow Sprint
A focused two-week advisory sprint to determine how AI should fit into one real OCM workflow and make that workflow work better.
$4,500 USDfixed sprint fee
Discuss your workflowThe strongest outcome may be a smaller AI role, a process fix first, or a recommendation not to proceed.
What your team brings
- One real OCM workflow and a specific improvement goal
- The approved AI tool or environment available to the team
- Relevant source materials, templates, and current examples
- One or two practitioners who understand the work and context
- Known privacy, policy, sensitivity, or review constraints
What to expect
A focused review of your selected OCM workflow, a working conversation with the people who know it, and a written recommendation with practical next steps. The engagement uses your organization's approved tools and handling requirements.
The handoff
A decision-ready workflow, not a pile of prompts.
Every deliverable is specific to the client’s workflow, tools, evidence, policies, and working conditions.
A clear recommendation
A supported decision about the proposed AI use in the workflow you bring.
Client-specific guidance
Practical recommendations for improving the work while preserving human accountability.
A focused next step
A usable plan for a bounded test when one is appropriate.
Why AI@OCM
OCM-specific reasoning that a tool cannot supply on its own.
AI@OCM brings organizational change experience to the practical choices your team faces when using AI in its own work.
Change Collaboration does not implement or resell an AI platform. Tool approval is necessary but insufficient. Suitability depends on the actual data path, configuration, contractual controls, and sensitivity of the work.
Not generic AI trainingNot a prompt libraryNot a software platformNot automation for its own sake
What success means
Better OCM work, with clearer limits.
The sprint is successful when the team can make a defensible decision about AI use and has a workable design for the smallest valuable next step.
ClearerThe workflow, inputs, handoffs, and decisions are understood.
SmallerAI’s role is narrowed to the parts where it adds real value.
SaferHuman review and guardrails match the actual risk.
UsefulThe output improves the next OCM decision or action.
Built from the work
Practical OCM experience, applied to AI.
AI@OCM is an offer from Change Collaboration LLC, grounded in 24+ years of organizational change work across technical, cultural, and enterprise transformations.
The approach is tool-agnostic and built around the organization’s actual policies, workflows, people, and context.
A no-obligation fit conversation
Is one of your OCM workflows worth improving with AI?
Tell us enough to understand the situation without sharing confidential material. We will respond within two business days to arrange a short fit conversation or let you know promptly if the sprint is unlikely to help.