01
Team productivity
Configure a shared way to research, analyse and prepare work using approved business context.
OpenAI / GPT ImplementationPut OpenAI to work.
Put OpenAI to work.
Across your business.
We implement ChatGPT for teams and build OpenAI capabilities into business workflows. From company knowledge and reusable assistants to connected agents and product features, we choose the scope around the work you need to improve.
ChatGPT for teams · connected agents · product capabilities
2 to 4 weeksto a focused working proof
Senior engineeringresponsible for the implementation
Magus.OPENAI / TEAM WORKFLOW
OpenAI across your team
ExampleTeam contextAssistantConnected tools
01
Set upWorkspace and access requirements
02
Make usefulShared knowledge and repeatable tasks
03
ConnectTools and actions with review points
From ChatGPT adoption to connected business workflows.
Connect the approved records for this team and task.
01 · THE WORK
Built for the work your business needs
We implement ChatGPT for teams and build OpenAI capabilities into business workflows. From company knowledge and reusable assistants to connected agents and product features, we choose the scope around the work you need to improve.
02 · THE IMPLEMENTATION
Where it can make a difference
02
Connected workflows
Build assistants and agents that use internal knowledge and tools, with defined permissions and review points.
03
AI inside your product
Add document understanding, conversational features or task assistance to the software your team or customers use.
03 · THE IMPLEMENTATION
What we implement
01
A considered setup
Assess workspace, access and data requirements against the features available for your selected plan and deployment.
02
Useful business context
Organise knowledge and repeatable task instructions so the system understands the work it is supporting.
03
Implementation through rollout
Build the required integrations, evaluate outputs and actions, then introduce the workflows with the teams using them.
IMPLEMENTATION EXAMPLE
A team assistant for a recurring management review
An operations team prepares its weekly review using approved performance records and open issue notes.
THE EVIDENCE
What the system needs
- Approved operating metrics and their definitions
- Current issue register and team updates
- The review format and role permissions
THE CHECKS
What this example checks
- Use the correct reporting period and agreed measures.
- Link each material observation to a supporting record.
- Separate a proposed action from a decision the team has approved.
THE WORKING RESULT
What reaches the team
A review brief with supported observations, outstanding questions and proposed actions.
The decision boundaryThe team checks the brief and assigns decisions. Access and any connected actions follow the implementation’s agreed permissions.
WHAT THIS EXAMPLE WOULD TEST
Compare preparation time, correctness, source support and review effort with the existing process.
Illustrative implementation scope. This describes a possible build, rather than a claimed client result.
05 · THE WORK
From a useful proof to daily use
Start with the team or workflow that has a clear recurring need. Measure output quality and review effort; for connected actions, also test permissions, failures and recovery.
A focused proof of concept ships in 2 to 4 weeks. We use the findings to scope production integrations, access, monitoring, rollout and support.
DELIVERED THROUGH OUR SERVICES
The work behind the solution.
YOUR NEXT STEP
Where should OpenAI become part of your operation?
Bring us one workflow, real examples and the people who know the work. We’ll identify a practical first build.