The thesis
WeWeidentifyidentifytraditionaltraditionalservicesservicesbusinessesbusinesseswithwithstrongstrongrevenue,revenue,establishedestablishedclientclientbases,bases,andandoperationallyoperationallyintensiveintensiveworkflows.workflows.WeWeinvestinvesttime,time,technology,technology,andandcapitalcapitaltotoautomateautomateoperations,operations,improveimprovemargins,margins,andandre-ratere-ratethethebusinessbusinessfromfromaaservicesservicesvaluationvaluationtotoaatech-enabledtech-enabledplatformplatformvaluation.valuation.
Lever 01 · Economics
AI collapses the marginal cost of every transaction
Traditional services scale linearly: more work means more headcount. By automating data entry, reporting, compliance, and document processing, we drive the cost per transaction down toward zero, so revenue grows while the cost base stays flat.
The economics
Marginal cost per additional client
As an AI-native platform scales, the marginal cost of each additional client drops steeply, stabilising at a fraction of the traditional rate.
Lever 02 · Valuation
From a services multiple to a platform multiple
Expanding margins re-rate the business itself. A company once valued at 1-3× revenue as a services firm becomes a tech-enabled platform valued at 5-15× revenue: the single largest source of value creation in the partnership.
Financial impact
Revenue and margin expansion
Illustrative model: same headcount, AI-native delivery. Revenue grows modestly; margin expands significantly.
Traditional services
Revenue index: 100
AI-native platform
Revenue index: 130
Run a services business with these economics?
Start the conversationThe mechanics · what we actually change
The four levers we pull inside the business
Margin Expansion
Automating manual work (data entry, reporting, compliance checking, document processing) to reduce cost per transaction.
Revenue Growth
Enabling capabilities the business could not previously offer: AI-powered analytics, automated valuations, intelligent matching, real-time monitoring.
Valuation Re-Rating
Transforming a business valued at 1-3× revenue (services multiple) into one valued at 5-15× revenue (tech-enabled platform multiple).
Data Flywheel
Each deployment generates proprietary data and domain-specific models that make the platform more valuable over time.
Portfolio
Products we build and back
Tekniti AI
Bayseian product
AI platform that puts UK property operations on autopilot: compliance tracking, tenant communications, maintenance triage and reporting for lettings and management teams.
- UK lettings compliance tracked (gas safety, EICR, EPC, deposits, Right to Rent)
- Tenant queries and maintenance requests handled 24/7
- Rent, statements and inspections kept current
- Audit trail with humans in the loop on key decisions
ClinicalPad
Bayseian product
AI-powered clinical documentation platform. Generates patient notes, medical letters, and clinical reports instantly. Professional templates, AI transcription, and customisable outputs for healthcare providers.
- AI transcription and documentation
- Professional clinical templates
- Customisable output formats
- Free tier available, global market
Operators and investors we work with
The journey
A partnership measured in years, not sprints.
Assess the operation
A structured look at where the margin headroom actually is: which workflows are operationally intensive, what data exists, and what an AI-native version of the business looks like.
Embed the AI stack
The same delivery capability we deploy for enterprise clients, embedded bottom-up into live workflows: automation, agents, and evaluation pipelines expanding margins from the inside.
Build alongside
Equity means we stay: productising delivery, compounding the economics, and re-rating the business from a services multiple toward a platform multiple.
Growth Partner FAQ
Frequently asked questions
What kind of businesses does Growth Partner invest in?
Traditional services businesses with strong operations and repeatable workflows: the kind valued at a services multiple today, where an embedded AI stack can expand margins and re-rate the valuation.
How is this different from consulting?
We take equity and build alongside the business over the long term. A consultancy is paid to deliver a project; we are paid by the outcome of the business itself, which changes what we choose to build and how long we stay.
How is this different from private equity?
We are operators, not financial engineers. The value creation comes from embedding an AI stack bottom-up into the operation (the same delivery capability we use for enterprise clients) rather than from leverage or cost-cutting alone.
What does "re-rating" mean in practice?
Moving a business from a services multiple (typically 1-3× revenue) toward a tech-enabled platform multiple (5-15× revenue) by structurally changing its economics: AI-expanded margins, productised delivery, and revenue that scales without linear headcount.
What does the journey look like?
A structured assessment of the operation first (where the margin headroom actually is), then the AI stack embedded bottom-up into live workflows, then years of building alongside the team as the economics compound. This is a long-term partnership, not a turnaround sprint.
Can you prove the model works?
The portfolio is the proof: ventures like Tekniti AI run on the same operating layer we deploy for clients, and our client work across enterprise and government shows the delivery capability the model depends on. See the portfolio and case studies for specifics.
Build a platform-scale business with us.
If you run a services business with strong revenue and operationally intensive workflows, we'll show you what making it AI-native looks like.