Deploy ChatGPT at work with clear controls and measurable results
Cyno helps your team choose a plan, configure the workspace, pilot one department and train users. Each step has an owner, a data boundary and acceptance criteria.
Who is this for?
For organizations that want a deliberate ChatGPT rollout with ownership and review, beyond simply issuing seats.
A real use case
Teams want support for drafting, analysis, research or reporting.
Central oversight
IT or a business owner needs to manage members, access, connected apps and costs.
Measurable outcomes
The organization needs to know what saves time and what still requires human approval.
Business or Enterprise?
Choose based on users, identity management and data policies. Features and terms can change; confirm them with OpenAI before purchase.
- A shared workspace, member management and centralized billing for a team.
- A practical starting point for a managed pilot with clear usage rules.
- For organizations needing more advanced identity, provisioning, access and data controls.
- Confirm features, legal terms and a tailored quote with OpenAI.
Cyno advises on rollout scope and configures the workspace with delegated access. Licensing and any resale rights are confirmed separately under the applicable agreement and OpenAI policy.
See current OpenAI plans and pricingA four-stage rollout
Discovery
Select a department, tasks, approved data, reviewers and a baseline for the pilot.
Setup
Agree on the plan, workspace owner, members, roles, sign-in and apps requiring review.
Pilot and training
Test real tasks with approved data; train users to prompt, verify outputs and report failures.
Measure and hand over
Compare time, quality, adoption and incidents with the baseline; hand over operations guidance and a scale-up decision.
One department. One measurable goal.
The pilot scope follows discovery. Together we choose a workflow with enough examples to test, an administrator and a review date.
- Approved tasks and data list
- Pass/fail output examples and reviewer
- Practical user guidance
- Outcome report and go/no-go recommendation
Start with data boundaries
Uploading all internal data is not an acceptable default. Cyno helps define usage rules that fit the organization's policy.
Classify
Separate approved, approval-required and prohibited data; remove sensitive details where possible.
Limit access
Assign roles, review membership and revoke access when people move or leave.
Review connections
Check each connected app's access scope before exposing a data source.
Approve outputs
A person reviews content before important decisions or external sharing.
What you receive
- Use-case map, scope and acceptance criteria
- Agreed workspace setup and role matrix
- Data rules, connected-app checklist and user guidance
- Training materials, pilot results and next-step plan
Measure before and after
Record task time, completion, output quality and usage before the pilot. Compare the same task types afterward, including rework, additional costs and user feedback.
What makes up the cost?
- 01ChatGPT seats and plan: confirm current pricing directly with OpenAI.
- 02Discovery, setup, training and pilot evaluation: scoped and quoted by Cyno.
- 03System integration or a separate API solution: included only when requested and approved.
- 04Post-handover support and expansion: term, tasks and recurring fees specified if selected.
Frequently asked questions
Must Cyno sell the ChatGPT licenses?
No. We can discuss a workspace you already own. Any purchase or resale arrangement is confirmed separately; implementation fees are distinct from OpenAI charges.
Do we need Enterprise?
Not automatically. Business may fit a pilot; Enterprise is considered when advanced identity, administration or data requirements call for it. Confirm current capabilities with OpenAI.
Can we use internal data?
Only after data classification, access and connected-app reviews against your policy. For a different integration need, Cyno can assess a separate API solution.
How long until we can assess the pilot?
Timing depends on the tasks, data and participants. We agree the review date and criteria after discovery, rather than promise a fixed result without a baseline.
Need deeper integrations or automation?
Plan a connected workflow after the team pilot proves useful.