Path 2 | Support AI Adoption
Make AI adoption real in one role and one workflow.
When an AI capability is approved but employees and managers still do not know what changes in the work, AI@OCM translates the technology into clear role expectations, safe-use conditions, observable behavior, and a defensible next decision.
2 weeks$7,500 USDFixed scope
One approved capability. One affected role group. One actual workflow change.
Contextual adoption chainWork before rollout
01
AI capabilityWhat is approved, intended, and bounded?
02
Data-handling proofWhat do the actual account, configuration, retention, storage, and routing allow?
03
Affected roleWhose work actually changes?
04
Workflow changeWhat changes in the real sequence of work?
05
Manager implicationsWhat must managers explain, observe, and reinforce?
06
Employee behaviorWhat does correct use look like?
07
Trust and safe useWhat questions, limits, review, and escalation are required?
08
Sustained adoptionWhat evidence shows the change is holding?
Role-specific
Workflow-grounded
Manager-enabled
Evidence-led
Why organizations seek help
The rollout is moving faster than the work can absorb it.
The capability may be technically available while practical adoption conditions remain undefined.
“What do I reinforce, review, correct, or escalate?”
“Are people using it well, or are we only counting activity?”
2-week offer
AI Adoption OCM Readiness Sprint
Diagnose, right-size, and design the conditions for a defensible pilot decision. The sprint may recommend proceeding, narrowing the use, fixing a policy or process first, pausing, or stopping.
$7,500 USDfixed sprint fee
Verify the capability and translate it into work
- Confirm the actual provider, account, model, configuration, and intended use
- Verify training, retention, storage, routing, logging, and review conditions
- Map the affected role and actual workflow change
- Surface employee questions, manager responsibilities, and trust conditions
Design the decision and evidence
- Set safe-use, human review, and escalation conditions
- Define observable behavior and adoption evidence
- Right-size the smallest credible pilot
- Deliver a proceed, revise, pause, or stop recommendation
What the client leaves with
A readiness decision with conditions that can be acted on.
The sprint is not judged by training volume, message count, or platform usage alone.
Contextual Adoption Readiness Brief
A proceed, proceed-with-conditions, revise, pause, or stop recommendation based on the actual work context.
Data-Handling Proof Gate
A cleared, cleared-with-conditions, or not-cleared decision based on the actual provider, account, model, configuration, retention, storage, routing, and review evidence.
Role and Workflow Change Profile
A map of what changes, what stays human, who reviews, and how outputs feed the next work decision.
Manager Implications Map
Role-specific expectations for explanation, observation, reinforcement, correction, and escalation.
Employee Question and Trust Map
Answers to the questions that determine whether people can use the capability confidently and responsibly.
Safe and Useful Use Conditions
Practical boundaries for inputs, judgment, review, errors, feedback, and accountability.
Pilot Scope and Evidence Plan
The smallest credible real-work test, with baseline, target behaviors, measures, and stop criteria.
Not generic AI training
People do not adopt “AI.” They adopt a changed way of working.
Generic training can explain features. AI@OCM defines what the capability means in a particular role, at a particular work moment, with the organization’s actual policies, sources, review expectations, and decision rights.
01What changes in the role and what stays human?
02What does correct use look like in this work?
03Where will people distrust, misuse, or work around it?
04What evidence shows adoption beyond logins or activity?
Clear boundary
AI Workflow Triage decides whether a business workflow is a candidate for automation or AI assistance. AI@OCM Path 2 designs the human and organizational conditions needed to adopt an approved AI capability in real work. Change Collaboration does not implement or resell the platform, and an approved-tool label does not replace evidence about the actual data path and configuration.
Natural next step
4-week AI Adoption OCM Pilot Sprint
The Pilot Sprint tests the bounded adoption design in real work. It equips the selected role group and managers, runs the feedback loop, examines evidence, and ends with a scale, revise, pause, or stop decision.
Fixed pilot fee$18,000 USD
- Role-specific guidance and safe-use conditions
- Manager activation and reinforcement guide
- Contextual messages and employee FAQ
- Operating feedback loop and evidence readout
- Final recommendation with conditions for next action
Available only when the Readiness Sprint establishes a credible, bounded pilot.
A no-obligation fit conversation
Is your AI rollout ready to become a real change in work?
Share the capability, affected role group, and workflow situation without sending confidential material. We will respond within two business days with a fit determination or the most important condition to address first.