Turn ChatGPT from a chat window into a coordinated business engine that runs operations around the clock.
ChatGPT is the most widely adopted AI platform in the world. DeployLabs transforms it from a single-user productivity tool into a coordinated system of Custom GPTs, Assistants, and API-driven agents that run real business workflows.
What ChatGPT brings to your operations.
Custom GPTs for Every Department
Purpose-built GPTs for sales, marketing, operations, and client management — each with defined instructions, knowledge bases, and tool access. Not generic assistants. Agents built for your specific workflows and business rules.
Assistants API with Tool Use
OpenAI's Assistants API enables persistent threads, file retrieval, code execution, and function calling. DeployLabs connects these capabilities to your CRM, project management tools, and databases for autonomous operation.
Enterprise Data Protection
ChatGPT Enterprise and Team plans offer SOC 2 compliance, no data training, and admin controls. DeployLabs configures workspace permissions, data handling policies, and usage monitoring across your organization.
Multi-Modal Processing
GPT-4o processes text, images, audio, and files in a single interaction. For businesses handling invoices, site photos, product images, or client documents, this eliminates manual data extraction and classification steps.
The platform gives you the foundation. We build the engine.
ChatGPT provides
- ChatGPT interface and Custom GPT builder
- Assistants API with threads and tool use
- Enterprise workspace with admin controls
- GPT-4o multi-modal capabilities
- Plugin and action framework
- Usage analytics dashboard
DeployLabs adds
- Custom GPT architecture designed for your workflows
- Cross-GPT coordination and data sharing
- API integration with your business systems
- Knowledge base curation and maintenance
- Output quality monitoring and prompt refinement
- Security policies and access governance
Three phases. No templates. No shortcuts.
Assess
We audit your current ChatGPT usage, map high-impact workflows, and design a Custom GPT architecture that coordinates across departments instead of operating in silos. The assessment identifies which workflows belong in Custom GPTs vs. the Assistants API.
1–2 weeksBuild
Each Custom GPT and Assistant is built with domain-specific instructions, connected to your tools, and tested against real business scenarios. Knowledge bases are curated from your actual documents, not generic training data.
4–8 weeksOperate
Ongoing monitoring tracks GPT performance, user adoption, and output quality. Monthly reviews refine instructions, update knowledge bases, and add new GPTs as your operations evolve. Full documentation and training included.
OngoingChatGPT engines built for your industry.
Measured results from ChatGPT engine deployments.
Enterprise-grade security built into every deployment.
Enterprise Data Handling
ChatGPT Enterprise does not use your data for model training. Conversations are encrypted at rest and in transit. Admin controls govern who accesses what.
SOC 2 Type II · GDPR · CCPAWorkspace Governance
Role-based access controls, domain verification, and SSO integration. Admins manage GPT visibility, sharing permissions, and usage policies organization-wide.
SAML SSO · SCIM · RBACAudit and Compliance
Complete conversation logs available for compliance review. Data retention policies configurable per workspace. Export capabilities for regulatory requirements.
PIPEDA · HIPAA · Industry-SpecificOutput Guardrails
Custom GPTs include instruction-level guardrails that prevent off-topic responses, data leakage, and unauthorized actions. Each GPT operates within a defined scope.
Content Policy · Custom Instructions · Scope LimitsWhat clients ask about ChatGPT.
We already use ChatGPT — what does DeployLabs add?
Most businesses use ChatGPT ad hoc — individual team members typing prompts for individual tasks. DeployLabs transforms this into a coordinated system: purpose-built GPTs for each workflow, connected to your tools via API, with monitoring and governance. The difference is between individuals using a chat window and an organization running a system.
Should we use ChatGPT Team, Enterprise, or the API?
It depends on your workflows. Team is sufficient for Custom GPTs with small teams. Enterprise adds SSO, admin controls, and compliance features critical for regulated industries. The API is necessary for automated workflows that run without human initiation. Most DeployLabs builds use a combination. We scope the right mix during the assessment.
What does a ChatGPT engine build cost?
The AI Readiness Assessment is $2,500 and maps your full implementation plan. Custom builds start at $7,500. Monthly retainers for ongoing optimization range from $2,000 to $5,000. OpenAI subscription and API costs are separate — typically $20–$60/user/month for Enterprise seats plus API usage.
Are we locked into OpenAI if we build on ChatGPT?
No. DeployLabs architectures are model-agnostic at the workflow layer. Your business logic, integration code, and knowledge bases are portable. Switching the underlying model requires reconfiguration, not a full rebuild. Many clients run hybrid setups across multiple providers.
Can ChatGPT handle sensitive client data?
ChatGPT Enterprise offers SOC 2 compliance, no-training guarantees, and encryption at rest and in transit. For highly regulated industries, we pair ChatGPT with on-premise processing for sensitive operations and use the API with data handling agreements. The AI Readiness Assessment identifies the right architecture for your compliance requirements.
Ready to build your ChatGPT engine?
Start with a free discovery call. We map your operations and show you exactly where ChatGPT creates the most leverage for your business.