What this service solves
We build corporate GPTs tailored to your company: trained on your documentation, tuned to your brand voice, connected to your internal systems and deployed securely so any team member can access a specific AI expert (legal, sales, support, marketing) in seconds.
What we solve
- Teams that lose hours writing the same thing from scratch.
- Critical knowledge locked inside a single person.
- Scattered use of generic ChatGPT with poor prompts.
- Risk of exposing sensitive data in public tools.
What's included
- Identifying priority corporate GPTs.
- Designing instructions and expected behavior.
- Loading corporate knowledge (RAG).
- Integration with internal tools via actions.
- Secure deployment on ChatGPT Enterprise, Team or private hosting.
- Internal training and adoption.
How we work
- Identifying use cases by department.
- Designing instructions and curating knowledge.
- Technical GPT configuration.
- Testing with real users.
- Phased launch and continuous improvement.
How we work: service methodology
- Phase 1 · Knowledge Curation and Structuring (Data Prep) — Gathering, cleaning and formatting documents, FAQs and manuals to prevent hallucinations.
- Phase 2 · Prompt & Guardrail Architecture (Prompt Engineering) — Drafting the master System Prompt, defining tone of voice, safety constraints and behavior directives.
- Phase 3 · Actions and Connector Configuration (Custom Actions) — Connecting the assistant to databases, n8n webhooks, CRM (HubSpot/Notion) and calendars (Google Calendar).
- Phase 4 · Stress Testing and Red Teaming — Intensive testing for hallucinations, edge-case responses and conversational fine-tuning.
- Phase 5 · Deployment and Handover — Publishing on ChatGPT Team/Enterprise, a Web Widget or WhatsApp, and delivering documentation.
What we need from your team
- PDF, Word or Google Docs documentation with verified product, service and policy information.
- A list of the top 50 frequently asked questions (FAQs) with their ideal official answers.
- A defined brand tone (formal, approachable, technical, empathetic).
- A corporate OpenAI account (ChatGPT Plus/Team) or an LLM hosting platform.
- CRM or booking-system API access, if real-time actions are required.
Deliverables
- Production corporate GPTs.
- Instructions and behavior documentation.
- A usage manual for the team.
- Adoption and efficiency metrics.
Who it's for
- Companies with teams that repeat cognitive tasks.
- Organizations where critical knowledge sits with a few people.
- Legal, sales, HR and marketing departments.
- Companies that want to control AI use securely.
Signs you need it
- Inquiries arrive outside business hours and sales opportunities get lost.
- You already tried building your own assistant, but it makes up answers or gives incorrect information.
- Your current chatbot is rigid and doesn't understand naturally phrased questions.
- There's no connection between the conversational assistant and your CRM or calendar.
Measurable KPIs
- Weekly GPT adoption per team.
- Hours saved per automated task.
- Output quality (internal review).
- Reduction in repetitive internal tickets.
Expected outcome
Every department in the company has an AI expert available 24/7 that knows the context, speaks in the brand's voice and executes real tasks. The team gains operational speed, and the company turns its knowledge into a scalable, secure, measurable asset.
Frequently asked questions about this service
What is a custom GPT or assistant in this context?
It's a conversational solution configured with instructions, knowledge, flows, boundaries and specific objectives to support a business task.
What use cases does it work for?
Sales support, internal support, document-based advice, training, proposal generation, policy lookup, customer intake and process assistance.
Can it connect to company documents?
Yes, as long as the scope, permissions and document source are defined. For advanced needs it can evolve toward RAG or integrations.
Can it connect to external APIs or tools?
Yes, if the platform allows it and it's technically feasible. Integrations are quoted and documented separately.
What does jsadsAI deliver?
Assistant design, master prompt, instructions, knowledge structure, use cases, testing, a usage guide and improvement recommendations.
How do you make sure it doesn't make up answers?
Through instructions, verifiable sources, scope limits, uncertainty messaging, testing and review of critical cases.
Technology stack
- ChatGPT Enterprise
- ChatGPT Team
- Custom GPTs
- OpenAI Assistants API
- Claude
- Notion
- Google Drive
- SharePoint