CTC Health
Consultant mapping strategy, scope, phases and roadmap on a whiteboard
Consultant mapping strategy, scope, phases and roadmap on a whiteboard
Consultant mapping strategy, scope, phases and roadmap on a whiteboard

The AI for
healthcare specialists

The AI for
healthcare specialists

The AI for
healthcare specialists

The AI for
healthcare specialists

We help pharma and healthcare managers turn AI into skilled teams, working agents and results you can measure.

We help pharma and healthcare managers turn AI into skilled teams, working agents and results you can measure.

4 pillars

4 pillars

Literacy · strategy · agents · adoption

Literacy · strategy · agents · adoption

15+

15+

Happy customers so far · 4.8/5 average satisfaction

Happy customers so far · 4.8/5 average satisfaction

100%

100%

Pharma-focused. Started in Switzerland, working worldwide

Pharma-focused. Started in Switzerland, working worldwide

Pharma people who build AI

Most AI advice stops at the slide. Ours comes from teams who know the field and ship AI products every week.

Pharma-native

Pharma-native

We come from commercial, medical and market access. No translation needed.

We come from commercial, medical and market access. No translation needed.

We build, not only advise

We build, not only advise

Our own AI products run in pharma today. That build experience goes into your project.

Our own AI products run in pharma today. That build experience goes into your project.

Compliant by design

Compliant by design

MLR, GDPR and Swiss data hosting are built in from day one.

MLR, GDPR and Swiss data hosting are built in from day one.

Measured in business KPIs

Measured in business KPIs

One partner from first workshop to scaled solution, judged on results.

One partner from first workshop to scaled solution, judged on results.

Four pillars, one AI partner

AI literacy

Hands-on training that makes every team confident and safe with AI.

AI transformation for leaders

Hands-on workshops by role

Prompt and Copilot playbooks

AI strategy & roadmaps

The use cases worth doing, in the right order, with a business case.

AI readiness assessment

Use-case portfolio and value case

Governance and 12-month roadmap

Agentic solutions

AI agents that do real work inside your systems, with guardrails.

Claude, Copilot or custom agents

CRM, content and data integration

Validated, auditable workflows

Adoption & change

The people side of AI, so tools get used and value sticks.

Champions network

Rollout and communication plan

Usage and impact tracking

Where AI pays off in commercial

A brand plan built by agents, owned by your team

The problem

The yearly brand plan takes months of workshops, scattered market data and slide rework across brand, medical and market access.

What we build

A team of AI agents for market analysis, competitor scanning, patient journey and tactical planning. Each one drafts its part from approved sources.

Your team

Reviews, challenges and signs off at every step. Every claim links back to its source for MLR.

12 → 3 weeks

From kick-off to an approved brand plan

5 agents

Working in parallel, one brand team in control

Example data · figures to be confirmed per client. Pass rate: AI-LEARN study, Sapienza University, April 2026.

Example data · figures to be confirmed per client. Pass rate: AI-LEARN study, Sapienza University, April 2026.

Four steps, from idea to scale

Co-created with your teams. Delivered by ctcHealth. Owned by you.

01

Assess

Map processes, data and readiness. Pick the use cases with the clearest value.

Opportunity map

2–3 weeks

02

Design

Shape the solution with your teams: workflow, guardrails and success metrics.

Blueprint and business case

2–4 weeks

03

Build

Prototype fast, test with real users, then harden it for IT and compliance.

Working pilot

6–10 weeks

04

Scale

Roll out across teams and markets, train users, measure impact, hand over.

Adoption programme

Ongoing

Real teams, measurable results

Specialty pharma · Europe

Specialty pharma · Europe

A forecasting command center

A forecasting command center

We replaced quarterly spreadsheet forecasts with an AI command center, co-created with brand and finance.

We replaced quarterly spreadsheet forecasts with an AI command center, co-created with brand and finance.

4 → 52

4 → 52

Forecast cycles a year

Forecast cycles a year

Global medtech · Diabetes

Global medtech · Diabetes

Practise every call before it counts

Practise every call before it counts

AI sales-call simulation rolled out to the field force, with an adoption and coaching programme.

AI sales-call simulation rolled out to the field force, with an adoption and coaching programme.

+35%

+35%

Call closing after two months

Call closing after two months

Pharma · Commercial excellence

Pharma · Commercial excellence

From AI-curious to AI-capable

From AI-curious to AI-capable

A hands-on AI workshop where commercial teams built their own Copilot agents in a day.

A hands-on AI workshop where commercial teams built their own Copilot agents in a day.

1 day

1 day

From first prompt to a working agent

From first prompt to a working agent

Client names withheld at their request. Example data · figures to be confirmed.

Client names withheld at their request. Example data · figures to be confirmed.

Our research on AI in pharma, free to read

We share our studies and findings openly. Download them, use them, share them with your teams.

Study · April 2026

Study · April 2026

AI-tutored students passed almost three times as often

The AI-LEARN study with Sapienza University on AI tutoring in medical education.

Free

Report · Example

Report · Example

Where pharma commercial teams stand on AI

Readiness, use and barriers across field, marketing and IT teams.

Free

White paper · Example

White paper · Example

Agentic AI under MLR and GDPR

How to design AI agents that pass compliance from day one.

Free

Example titles · replace with published studies.

Accountable for your success

Start with one use case

Start with one use case

A 30-minute call with one of our consultants

We review your priorities, data and teams

You leave with two or three use cases to test