Solve a defined challenge
Diagnose a specific problem, identify the causes and priorities, and give you a clear, practical way forward.
Solutions
Digital & AI for healthcare sales and marketing
We help healthcare commercial teams put digital and AI to work — from deciding what's worth doing, through building it, to proving it moved the numbers.
See the challenges we solve for your role
Start with the challenge. Stay through delivery.
Engage us for one stage, or ask us to take responsibility for the whole journey.
Challenges we help solve
Advise & Prioritise
Decide what's worth doing
Design
Shape it around your people
Build
Make it real
Launch & Embed
Land it with the field
Optimise & Grow
Prove it moved the numbers
We're under pressure to ‘do AI’ — but where does it actually fit our commercial model?
- AI and digital opportunity identification across your commercial function
- Initiatives prioritised by impact and value
- Establish important success measures and dashboards
- Real world design approach focused on the people who use it
- Pilots to test commercial impact and the fit for the people using it
- Working with the tools, CRM and channels you already run
- Rollout with named champions in brand teams and the field
- Working sessions with users
- Value impact tracked against targets
- Clear scale-or-stop decisions
Our digital and marketing spend isn't translating into sales.
- Funnel, channel and agency impact diagnostic
- Where the challenges and opportunities are
- HCP, customer, consumer and patient journeys
- KPIs agreed
- Websites, campaigns and CRM journeys
- Content that talks clearly to and is referenced by Claude, ChatGPT, Gemini etc
- Campaign and platform launch single or multiple markets
- Embedded in sales and marketing teams
- Attribution in place, focused on clarity and honesty
- Budget & effort refocused on what's working
Our reps can't get in front of HCPs anymore.
- Where access is failing and why
- Where you can add value and engage with the HCP
- Engagement between calls, not just during them
- Remote and hybrid selling, learning and support models
- E-detailing and triggered follow-up content
- Tools that help reps prepare and prioritise
- Field rollout, team by team
- Champions who bring the rest along
- Reach and call quality tracked, sales impact analysis correlated
- Coaching built on real data
Our team and budget shrank — the targets didn't.
- Where automation saves time. In reality.
- Spend that isn't performing identified
- Routine work designed out
- Effort focused on where the growth opportunities are
- Automation of reporting, admin and follow-up
- AI that multiplies what a small team can do
- Adopted and valued by the people using it, not just deployed
- Training on what matters most
- Hours saved and reinvested, measured
- Continuous simplification
Advise & Prioritise
- AI and digital opportunity identification across your commercial function
- Initiatives prioritised by impact and value
Design
- Establish important success measures and dashboards
- Real world design approach focused on the people who use it
Build
- Pilots to test commercial impact and the fit for the people using it
- Working with the tools, CRM and channels you already run
Launch & Embed
- Rollout with named champions in brand teams and the field
- Working sessions with users
Optimise & Grow
- Value impact tracked against targets
- Clear scale-or-stop decisions
Advise & Prioritise
- Funnel, channel and agency impact diagnostic
- Where the challenges and opportunities are
Design
- HCP, customer, consumer and patient journeys
- KPIs agreed
Build
- Websites, campaigns and CRM journeys
- Content that talks clearly to and is referenced by Claude, ChatGPT, Gemini etc
Launch & Embed
- Campaign and platform launch single or multiple markets
- Embedded in sales and marketing teams
Optimise & Grow
- Attribution in place, focused on clarity and honesty
- Budget & effort refocused on what's working
Advise & Prioritise
- Where access is failing and why
- Where you can add value and engage with the HCP
Design
- Engagement between calls, not just during them
- Remote and hybrid selling, learning and support models
Build
- E-detailing and triggered follow-up content
- Tools that help reps prepare and prioritise
Launch & Embed
- Field rollout, team by team
- Champions who bring the rest along
Optimise & Grow
- Reach and call quality tracked, sales impact analysis correlated
- Coaching built on real data
Advise & Prioritise
- Where automation saves time. In reality.
- Spend that isn't performing identified
Design
- Routine work designed out
- Effort focused on where the growth opportunities are
Build
- Automation of reporting, admin and follow-up
- AI that multiplies what a small team can do
Launch & Embed
- Adopted and valued by the people using it, not just deployed
- Training on what matters most
Optimise & Grow
- Hours saved and reinvested, measured
- Continuous simplification
Fifteen minutes. Bring the problem, we'll bring an opinion — from people who've sat in your seat.
Challenges we help solve
Advise & Prioritise
Decide what's worth doing
Design
Shape it around your people
Build
Make it real
Launch & Embed
Land it with the field
Optimise & Grow
Prove it moved the numbers
HCPs, customers, consumers and patients are asking AI assistants — and we're not in the answers.
- Visibility audit — are you being cited by ChatGPT, Claude, Gemini etc for your target personas?
- Strategy focused on communicating and articulating clearly to AI assistants, underpinned by tech
- Answer-shaped communication architecture
- Information structured to make it readable by AI assistants
- Code provided for easy to deploy changes
- Content rebuilt for machine readability
- Deployed without disturbing existing search equity
- Editorial teams trained on answer-shaped writing
- Citation and visibility tracked across assistants
- Iterated as models and retrieval change
Content takes months to produce and clear review.
- Bottle neck identification
- Content ROI and reuse analysis
- Modular content model with pre-approved components
- AI-assisted workflows inside MLR review
- AI-assisted drafting, adaptation and localisation
- Component libraries, tagging and taxonomy
- Embedded with brand teams and agencies
- Review workflows tuned with MLR
- Cycle time and reuse rates tracked
- Underperforming content retired, not hoarded
We're targeting evenly because we don't really know which accounts matter.
- Data audit — what your CRM can already support
- The cost of spreading effort evenly, quantified
- Segmentation and propensity model design
- Next-best-account and next-best-action logic
- Models built on the data you hold — imperfections included
- Integrated into the field's daily tools
- Rolled out with the field, not at them
- Territory design tested before committing
- Model performance checked against actual results
- Retrained as behaviour shifts
We have dashboards everywhere and decisions nowhere.
- Dashboard estate rationalisation
- KPIs tied to decisions, not vanity metrics
- Decision layer — who decides what, on which number
- Insight synthesis designed across sources
- AI-assisted synthesis and alerting
- Test-and-learn infrastructure by segment and channel
- Embedded into brand planning and business reviews
- Teams trained to argue with the data
- Decisions traced to outcomes
- The measurement itself measured
Advise & Prioritise
- Visibility audit — are you being cited by ChatGPT, Claude, Gemini etc for your target personas?
- Strategy focused on communicating and articulating clearly to AI assistants, underpinned by tech
Design
- Answer-shaped communication architecture
- Information structured to make it readable by AI assistants
Build
- Code provided for easy to deploy changes
- Content rebuilt for machine readability
Launch & Embed
- Deployed without disturbing existing search equity
- Editorial teams trained on answer-shaped writing
Optimise & Grow
- Citation and visibility tracked across assistants
- Iterated as models and retrieval change
Advise & Prioritise
- Bottle neck identification
- Content ROI and reuse analysis
Design
- Modular content model with pre-approved components
- AI-assisted workflows inside MLR review
Build
- AI-assisted drafting, adaptation and localisation
- Component libraries, tagging and taxonomy
Launch & Embed
- Embedded with brand teams and agencies
- Review workflows tuned with MLR
Optimise & Grow
- Cycle time and reuse rates tracked
- Underperforming content retired, not hoarded
Advise & Prioritise
- Data audit — what your CRM can already support
- The cost of spreading effort evenly, quantified
Design
- Segmentation and propensity model design
- Next-best-account and next-best-action logic
Build
- Models built on the data you hold — imperfections included
- Integrated into the field's daily tools
Launch & Embed
- Rolled out with the field, not at them
- Territory design tested before committing
Optimise & Grow
- Model performance checked against actual results
- Retrained as behaviour shifts
Advise & Prioritise
- Dashboard estate rationalisation
- KPIs tied to decisions, not vanity metrics
Design
- Decision layer — who decides what, on which number
- Insight synthesis designed across sources
Build
- AI-assisted synthesis and alerting
- Test-and-learn infrastructure by segment and channel
Launch & Embed
- Embedded into brand planning and business reviews
- Teams trained to argue with the data
Optimise & Grow
- Decisions traced to outcomes
- The measurement itself measured
Kick the tyres. Ask us anything technical — if we don't know, we'll say so.
Challenges we help solve
Advise & Prioritise
Decide what's worth doing
Design
Shape it around your people
Build
Make it real
Launch & Embed
Land it with the field
Optimise & Grow
Prove it moved the numbers
The business wants AI tools — we're worried about shadow IT.
- AI Strategy & roadmap
- AI Process Improvement Value Mapping
- Policy and Useage framework
- IP and Privacy Risk-assesment
- Approved-tool framework and guardrails
- Governance that enables true value realization
- AI functional roadmap aligned to business outcomes
- Pilots to Scaled up Projects
- Quality & security controls in Model
- Access controls and audit trails
- Guardrails communicated to commercial teams
- Clear escalation paths
- Training and change management.
- Measurements, KPI and Continous Improvement
- Policy monitoring & usage reviews
- Updated Framework as tools evolve
The business keeps buying platforms that don't integrate.
- Full Portofilo review — Application life cycle Managment
- Budget review - Build, buy or retire recommendations
- Integration-first architecture against common standards
- Data flows Approved & documented.
- Centralized technology procurement.
- Integration with existing platforms — no parallel stacks
- Duplication retired, not accumulated
- Migration and go-live with approved change process
- 3 Party integration with strong data processing agreements
- Lean & optimised estate over time
- 3 Yr Infra & Application lifecycle management
Consent and compliance get treated as an afterthought.
- Privacy and consent gap assessment
- Regulatory Impact to commercial data
- Privacy-by-design in every journey and data flow
- Consent architecture across channels
- Third-party/vendor and tracking technology compliance
- Least-privilege access, named individuals
- Data portability & cross border transfer restrictions
- Audit logging and documentation
- Clean offboarding at engagement end
- Ongoing auditability & Monitoring
- Compliance monitored as channels change.
Who supports this when the consultants leave?
- Supportability assessed before anything is proposed
- Total cost of ownership, honestly stated
- Designed for your team to run
- Documentation standards agreed up front
- Built to your standards, documented as we go
- No black boxes
- Handover and training as deliverables, not afterthoughts
- Warranty period defined
- Capability transfer measured
- Dependency on us reduced by design
Advise & Prioritise
- AI Strategy & roadmap
- AI Process Improvement Value Mapping
- Policy and Useage framework
- IP and Privacy Risk-assesment
Design
- Approved-tool framework and guardrails
- Governance that enables true value realization
- AI functional roadmap aligned to business outcomes
Build
- Pilots to Scaled up Projects
- Quality & security controls in Model
- Access controls and audit trails
Launch & Embed
- Guardrails communicated to commercial teams
- Clear escalation paths
- Training and change management.
Optimise & Grow
- Measurements, KPI and Continous Improvement
- Policy monitoring & usage reviews
- Updated Framework as tools evolve
Advise & Prioritise
- Full Portofilo review — Application life cycle Managment
- Budget review - Build, buy or retire recommendations
Design
- Integration-first architecture against common standards
- Data flows Approved & documented.
- Centralized technology procurement.
Build
- Integration with existing platforms — no parallel stacks
- Duplication retired, not accumulated
Launch & Embed
- Migration and go-live with approved change process
- 3 Party integration with strong data processing agreements
Optimise & Grow
- Lean & optimised estate over time
- 3 Yr Infra & Application lifecycle management
Advise & Prioritise
- Privacy and consent gap assessment
- Regulatory Impact to commercial data
Design
- Privacy-by-design in every journey and data flow
- Consent architecture across channels
Build
- Third-party/vendor and tracking technology compliance
- Least-privilege access, named individuals
- Data portability & cross border transfer restrictions
Launch & Embed
- Audit logging and documentation
- Clean offboarding at engagement end
Optimise & Grow
- Ongoing auditability & Monitoring
- Compliance monitored as channels change.
Advise & Prioritise
- Supportability assessed before anything is proposed
- Total cost of ownership, honestly stated
Design
- Designed for your team to run
- Documentation standards agreed up front
Build
- Built to your standards, documented as we go
- No black boxes
Launch & Embed
- Handover and training as deliverables, not afterthoughts
- Warranty period defined
Optimise & Grow
- Capability transfer measured
- Dependency on us reduced by design
Have your IT lead call ours. We're happy to have the technical conversation before the commercial one.
Senior advisory from people who've sat in your seat
Adoption and change designed around the field's reality
Performance measurement built in from day one
Three ways to work with us
Choose the type of support you need.
Deliver an initiative
Take responsibility for a programme, platform, product or project, from definition through build, launch and adoption.
Act as an ongoing partner
Provide flexible senior leadership, specialist capability and delivery support alongside your teams and existing partners.
Whatever the size of your organisation
Our role adapts to your capabilities, resources and preferred way of working.
Global and enterprise teams
Specialist expertise, independent challenge and additional delivery capacity alongside internal teams, agencies and technology partners.
Established and mid-sized organisations
Leadership for key initiatives, and specialist skills when your team needs them.
Growing healthcare businesses
Senior commercial, digital and technology capability without the need to build a large permanent function.