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.
One real OCM workflowRight-sized
01
Source evidenceIs it sufficient for this task?
02
AI assistanceWhere does it improve the work?
03
Human judgmentWhat must be interpreted or challenged?
04
Review standardWhat makes the output safe and useful?
05
Next OCM decisionHow will this output be used?
Possible recommendationAssist one step. Keep three human-led.
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.
01Break the work into meaningful OCM decisions and handoffs.
02Find the smallest valuable place for AI to assist.
03Protect the context and judgment the work depends on.
04Define how quality will be reviewed before reuse or scale.
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 happens over two weeks
- 01Understand
Walk through the current workflow, pain points, sources, decisions, and constraints.
- 02Decompose
Separate repeatable work from context-heavy interpretation and judgment.
- 03Test
Evaluate a right-sized AI assist against actual materials and OCM quality needs.
- 04Design
Define human-AI handoffs, review standards, guardrails, and the next step.
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.
Workflow fit and right-sized scope
A clear recommendation on whether, where, and how much AI belongs in the workflow.
Source sufficiency assessment
A view of what evidence is adequate, missing, unsafe, or likely to produce false confidence.
Data-handling proof gate
Documented evidence for the actual provider, account, model, configuration, retention, storage, routing, and review conditions before live use.
Human-AI handoff map
Defined assist points, judgment-critical steps, ownership, and review expectations.
Workflow-specific starter design
Focused instructions, a sample output, and practical guardrails for the selected use.
Quality and review standard
Criteria for accuracy, context, stakeholder usefulness, sensitivity, and downstream use.
Independent next-step recommendation
Pilot it, narrow it, fix the process first, choose a different use, or leave it alone.
Why AI@OCM
OCM-specific reasoning that a tool cannot supply on its own.
AI@OCM examines whether the source material can support the task, which decisions depend on practitioner judgment, what an output will feed next, and where generic or confident-sounding content can damage the 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 more than 18 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.