What we can build with OpenAI
ShooflyAI builds agents on OpenAI's models when a client wants broad, well-rounded reasoning and a mature tool and function-calling layer. The system runs inside the client's stack and the client owns the code, prompts, and data.
These are example builds, not client case studies. We scope the real build to your stack and put an ROI estimate on it in an Operating Assessment first.
With OpenAI you can build AI agents that read documents, reason over long context, call functions against your systems, and run multi-step workflows like ticket triage, record updates, and proposal drafting, with a person approving anything that carries risk. OpenAI ships building blocks for this: the Responses API, function calling, and the AgentKit and Agent Builder tooling. ShooflyAI turns those blocks into a finished agent scoped to your actual stack and processes, wired into your CRM, email, and databases, with human review where judgment matters. The difference is ownership. You keep the code, prompts, workflow logic, data, and IP outright, with no revenue share and no lock-in to us.
10 ways to use OpenAI with AI agents
- Draft replies inside your inboxAn agent reads incoming email threads and drafts context-aware responses for a person to review and send.
- Summarize long contractsThe agent ingests lengthy agreements and produces clause-level summaries and flags for legal review.
- Route support tickets by intentIt classifies inbound tickets using GPT's reasoning and assigns them to the right queue or owner automatically.
- Generate structured data from documentsThe agent uses function calling to extract fields from invoices or forms into clean, validated JSON for your systems.
- Power a knowledge assistant over your docsIt answers staff questions grounded in your internal policies and SOPs, citing the source passage it used.
- Reconcile records across systemsThe agent compares entries in two tools, reasons about mismatches, and proposes corrections for approval.
- Draft proposals from a briefIt turns a short intake into a first-draft proposal using your templates and prior winning language.
- Triage and prioritize a backlogThe agent scores tasks or leads against your criteria and surfaces the highest-value items first.
- Convert meetings into action itemsIt reads transcripts and produces owner-tagged action items written back into your project tool.
- Run multi-step research workflowsThe agent chains tool calls to gather, reason over, and synthesize inputs into a reviewed brief.
Using OpenAI on its own vs. a custom ShooflyAI agent
| Dimension | OpenAI API (Responses, function calling, AgentKit / Agent Builder) | Custom ShooflyAI agent |
|---|---|---|
| Setup | You assemble prompts, tools, and orchestration yourself | We build and deploy a finished agent for you |
| Handles your multi-step workflows | Capable, but you wire the logic and steps | Built to run your specific end-to-end workflows |
| Works across your other systems | Function calling exists; integrations are yours to build | Connected to your CRM, email, and databases for you |
| Who owns and maintains it | You own whatever you build on the API | You own code, prompts, and IP; we can maintain |
| Cost model | Per-token API pricing on your own build | Project build plus the underlying model usage |
Frequently asked questions
Can OpenAI agents work inside the tools we already use?
Yes. Agents connect to your CRM, email, ticketing, and databases through OpenAI's function calling and APIs, so the work happens where your team already operates rather than in a separate chat window.
Do we own the agent if ShooflyAI builds it on OpenAI?
Yes. You own the code, prompts, workflow logic, and data. OpenAI is the model provider, but the agent and everything around it belongs to your company.
How do OpenAI agents handle tasks that need judgment?
They handle the repetitive analysis and drafting, then pause for a person to review and approve before anything is sent or finalized. The human stays in the loop wherever a decision carries risk.
Is our data used to train OpenAI's models?
Through the API with standard enterprise terms, your data is not used to train OpenAI's models. ShooflyAI configures agents to respect your data handling and retention requirements.
How long does it take to build a custom OpenAI agent?
It depends on the workflow's complexity and the systems it touches. ShooflyAI scopes a specific use case first, ships a working version you can test, then expands once it proves out.
Want to see what we would build for you?
We start with an Operating Assessment that maps your highest-value workflows and puts a hard ROI estimate on them before any build. You own the code, the data, and the IP.
Get your Operating Assessment →