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OpenAI partner

ChatGPT for Life Sciences.

We roll out ChatGPT Enterprise and build on OpenAI's frontier models for pharma companies: connected to your CRM, your approved content and your data, with the guardrails regulated work needs.

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OpenAI Partner
Visit prep · Custom GPTChatGPT Enterprise
Prepare my visit with Dr. Ruiz tomorrow at 10:00.
Here is your brief for Dr. Ruiz (cardiology):
  • Last interactions: congress invite accepted; the email on the new indication opened twice; no visit in 45 days.
  • Open question: dosing in renal patients. The approved answer from the medical FAQ is ready to share.
  • Show: approved deck “New indication”, slides 3 to 7.
CRM · 3 interactionsApproved contentMedical FAQ
Approved sources only · references attached
Ask about a doctor, a product or a document
Example of what we build: ChatGPT Enterprise with connectors to CRM and approved content.
90 Days from kickoff to teams using ChatGPT
300+ Certifications, including OpenAI
6 AI agents for pharma
50+ Countries

Playbook by team

One ChatGPT, six ways to work.

Pick a team to see what we build, which OpenAI tools it uses and the guardrail that keeps it compliant.

Medical AffairsAnswers with evidence, in minutes.
What we buildA medical information assistant that drafts replies to doctors' questions from the approved evidence, with references, ready for medical review.
Built with
Custom GPTConnectorsDeep research
Example prompt
Draft a reply to a nephrologist asking about dosing in moderate renal impairment. Use only the SmPC and the approved FAQ, and cite both.
GuardrailApproved sources only. Every answer goes through medical review.
We measureResponse time per enquiry
Field teamsEvery visit, prepared.
What we buildPre-call briefs that combine CRM history, approved content and the next best action, on the rep's phone.
Built with
ChatGPT EnterpriseCRM connectorCustom GPT
Example prompt
Prepare my visit with Dr. Ruiz: last interactions, open questions and the approved content to show.
GuardrailReads CRM data with the rep's own permissions.
We measurePrep time per visit
MarketingEvery channel, within the brand.
What we buildAdaptations of approved content for email, web and social in every market and language, ready for MLR.
Built with
Custom GPTProjectsImage generation
Example prompt
Adapt the approved launch email for Germany and France. Keep the claims word for word and flag anything that needs MLR.
GuardrailClaims locked to the approved claims library.
We measureTime to MLR submission
Market AccessPayer dossiers, faster.
What we buildFirst drafts of value dossiers and objection handlers, built from the clinical and economic evidence.
Built with
Deep researchProjectsData analysis
Example prompt
Summarise the cost-effectiveness evidence for [product] in [market] and list the three objections payers will most likely raise.
GuardrailEvery figure is linked to its source.
We measureDays to the first dossier draft
Regulatory & ComplianceChecked before it ships.
What we buildA pre-review of materials against approved claims, mandatory information and the local code, before MLR.
Built with
Custom GPTAPI & agents
Example prompt
Review this leaflet against the approved claims and the local code. List every issue with the rule it breaks.
GuardrailIt flags, it never approves: the decision stays with MLR.
We measureReview rounds per material
ITCRM changes, built faster.
What we buildCodex working on your Salesforce and integration repositories: fixes, tests and documentation, always with your review.
Built with
CodexAPI & agents
Example prompt
Add a consent check to the email send flow, write the tests and open a pull request.
GuardrailWorks in your repositories, with pull-request review.
We measureLead time per change

What we do with OpenAI

The OpenAI stack, mapped to pharma.

Three layers. You can start with any of them; most companies start with the first.

01
ChatGPT Enterprise for every team
Workspace and SSOCustom GPTsConnectorsDeep researchProjects
Rollout, roles and usage policies, a GPT library for each team and an adoption programme with training.
02
Agents on the OpenAI platform
APIAgents SDKRealtime voiceEvaluations
Agents connected to CRM, Data 360 and your content, with the harness engineering that makes them reliable: evaluated before go-live and monitored for quality and cost.
03
Codex for IT
CodexCode reviewCI/CD
Codex in your Salesforce and integration repositories, with secure practices and faster CRM delivery.

Harness engineering

The model is the engine. We build the harness.

A frontier model is only as good as the system around it. Harness engineering is how we make OpenAI models reliable in pharma: what they see, what they can do, the checks they pass and how we run them.

01ContextRetrieval from approved content, CRM and Data 360, always with the user's permissions.
02ToolsConnectors and MCP servers so agents can act on Salesforce, Veeva and your systems.
03InstructionsSystem prompts, policies and examples, versioned and reviewed like code.
OpenAIFrontier modelGPT models through ChatGPT Enterprise or the API
04EvaluationsTest sets built with your medical and compliance teams. Nothing ships without passing them.
05GuardrailsInput and output checks, claims control and human review where it matters.
06ObservabilityTracing, quality and cost dashboards, with alerts and monthly tuning.

Engineering, not prompts: the same discipline we have applied to CRM and data for 20 years.

Guardrails

Built for regulated work.

Every question follows the same path before it reaches a doctor, a payer or the market.

01Question
02Access check
03Approved sources
04Answer with references
05Human review
Your data stays yoursChatGPT Enterprise and the API do not train on business data by default. We set retention to your policy.
Identity and rolesSingle sign-on, groups and permissions that mirror your CRM and your teams.
Approved content onlyGPTs and agents read from the libraries you approve, nothing else.
Audit trailUsage, prompts and outputs logged for compliance and continuous improvement.

How we start

Live in 90 days.

A launch plan we adapt to each company. From the first policy to teams using ChatGPT every day.

Weeks 1–2Foundations.Governance, single sign-on, usage policies and the first use cases.
Weeks 3–6Pilot.Two or three teams, the first GPTs and adoption metrics from day one.
Weeks 7–10Connect.CRM and content connectors, and the first agent in testing.
Weeks 11–13Scale.More teams, training and a monthly run with quality and cost reviews.

FAQ

Questions about OpenAI and ShowerThinking.

What does it mean that ShowerThinking is an OpenAI partner?

We work with OpenAI to help companies adopt ChatGPT and build on its models, from the first rollout to agents in production. Our focus is Life Sciences.

Can you roll out ChatGPT Enterprise in a pharma company?

Yes. We handle single sign-on, roles, usage policies and the adoption programme, and we connect ChatGPT to your CRM and your approved content.

Is our data used to train OpenAI models?

With ChatGPT Enterprise and the API, OpenAI does not train on business data by default. We also configure retention and access to match your policies.

What is harness engineering?

It is the engineering around the model: the context it receives, the tools it can use, the instructions, the evaluations and the guardrails it must pass, and how it is monitored. It is what turns a frontier model into a reliable system in production.

Do you only work with pharma?

No. Life Sciences is our specialty, but we work with companies from every industry.

Put ChatGPT to work in Life Sciences.

Tell us which team you want to start with. We will come back with a plan.

Let's talk →